Modification of the 7th AJCC classification of metastatic melanoma.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\n'}],latestNews:[{slug:"webinar-introduction-to-open-science-wednesday-18-may-1-pm-cest-20220518",title:"Webinar: Introduction to Open Science | Wednesday 18 May, 1 PM CEST"},{slug:"step-in-the-right-direction-intechopen-launches-a-portfolio-of-open-science-journals-20220414",title:"Step in the Right Direction: IntechOpen Launches a Portfolio of Open Science Journals"},{slug:"let-s-meet-at-london-book-fair-5-7-april-2022-olympia-london-20220321",title:"Let’s meet at London Book Fair, 5-7 April 2022, Olympia London"},{slug:"50-books-published-as-part-of-intechopen-and-knowledge-unlatched-ku-collaboration-20220316",title:"50 Books published as part of IntechOpen and Knowledge Unlatched (KU) Collaboration"},{slug:"intechopen-joins-the-united-nations-sustainable-development-goals-publishers-compact-20221702",title:"IntechOpen joins the United Nations Sustainable Development Goals Publishers Compact"},{slug:"intechopen-signs-exclusive-representation-agreement-with-lsr-libros-servicios-y-representaciones-s-a-de-c-v-20211123",title:"IntechOpen Signs Exclusive Representation Agreement with LSR Libros Servicios y Representaciones S.A. de C.V"},{slug:"intechopen-expands-partnership-with-research4life-20211110",title:"IntechOpen Expands Partnership with Research4Life"},{slug:"introducing-intechopen-book-series-a-new-publishing-format-for-oa-books-20210915",title:"Introducing IntechOpen Book Series - A New Publishing Format for OA Books"}]},book:{item:{type:"book",id:"900",leadTitle:null,fullTitle:"Thermal Power Plants",title:"Thermal Power Plants",subtitle:null,reviewType:"peer-reviewed",abstract:"Thermal power plants are one of the most important process industries for engineering professionals. 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\r\n\r\n\tThis book intends to include topics on modern approaches, procedures, algorithms, as well as devices in the field of spaces and dimensions for 3D graphics, descriptions, representations and formats of 3D objects/worlds/scenes, linear and nonlinear transformations of 3D objects, transformation sequences and projections, curves and surfaces in 3D, 3D morphing and warping, 3D scanning and 3D printing, solutions for visibility, shading and lighting techniques, photorealism in 3D, implementation of 3D computer graphics using virtual reality and related technologies, as well as 3D user interfaces.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"d5b62fbb7d0c97b88977912a7205c647",bookSignature:"Dr. Branislav Sobota",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11191.jpg",keywords:"3D, Computer Graphics, 3D Object, 3D Transformation, 3D Scanning, 3D Printing, Visibility Solving, Photorealism, Virtual Reality, User Interface, Transformation Sequence, Shading and Lighting",numberOfDownloads:245,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"September 15th 2021",dateEndSecondStepPublish:"November 24th 2021",dateEndThirdStepPublish:"January 23rd 2022",dateEndFourthStepPublish:"April 13th 2022",dateEndFifthStepPublish:"June 12th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"7 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:"Dr. Branislav Sobota acts as the head of the LIRKIS DCI FEEI TU Košice (laboratory for research and development of new flexible and intelligent interfaces based on computer graphics and virtual reality technologies) and is a holder of 2 patents.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"109378",title:"Dr.",name:"Branislav",middleName:null,surname:"Sobota",slug:"branislav-sobota",fullName:"Branislav Sobota",profilePictureURL:"https://mts.intechopen.com/storage/users/109378/images/system/109378.jpeg",biography:"Branislav Sobota was born on 1967. In 1990, he graduated (MSc.) with honours at the Department of Computers and Informatics of the FEEI at Technical University in Košice. He defended his PhD. in 1999 and habilitation thesis in the field of virtual reality and computer graphics in 2008. He is working as an associate professor at the Department of Computers and Informatics Technical University of Kosice, Slovakia. His scientific research is focusing on computer graphics, parallel computing and especially virtual reality and related technologies.\n\nA researcher in virtual reality and related technologies, head of the LIRKIS DCI FEEI TU Košice (laboratory for research and development of new flexible and intelligent interfaces based on computer graphics and virtual reality technologies) and holder of 2 patents (Interactive school desk and Virtual control panel).",institutionString:"Technical University of Košice",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"3",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Technical University of Košice",institutionURL:null,country:{name:"Slovakia"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"9",title:"Computer and Information Science",slug:"computer-and-information-science"}],chapters:[{id:"80515",title:"View Synthesis Tool for VR Immersive Video",slug:"view-synthesis-tool-for-vr-immersive-video",totalDownloads:126,totalCrossrefCites:0,authors:[null]},{id:"80516",title:"3D Computer Graphics and Virtual Reality",slug:"3d-computer-graphics-and-virtual-reality",totalDownloads:58,totalCrossrefCites:0,authors:[null]},{id:"80181",title:"Enabling a 3-D Cyberspace Experience Online",slug:"enabling-a-3-d-cyberspace-experience-online",totalDownloads:61,totalCrossrefCites:0,authors:[null]}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"429341",firstName:"Paula",lastName:"Gavran",middleName:null,title:"Ms.",imageUrl:"//cdnintech.com/web/frontend/www/assets/author.svg",email:"paula@intechopen.com",biography:null}},relatedBooks:[{type:"book",id:"7603",title:"Mixed Reality and Three-Dimensional Computer Graphics",subtitle:null,isOpenForSubmission:!1,hash:"96e6d4a84d98903e442415024f7403f5",slug:"mixed-reality-and-three-dimensional-computer-graphics",bookSignature:"Branislav Sobota and Dragan Cvetković",coverURL:"https://cdn.intechopen.com/books/images_new/7603.jpg",editedByType:"Edited by",editors:[{id:"109378",title:"Dr.",name:"Branislav",surname:"Sobota",slug:"branislav-sobota",fullName:"Branislav Sobota"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"7435",title:"Computer Graphics and Imaging",subtitle:null,isOpenForSubmission:!1,hash:"889abc91038189c977749c2175bbc8e2",slug:"computer-graphics-and-imaging",bookSignature:"Branislav Sobota",coverURL:"https://cdn.intechopen.com/books/images_new/7435.jpg",editedByType:"Edited by",editors:[{id:"109378",title:"Dr.",name:"Branislav",surname:"Sobota",slug:"branislav-sobota",fullName:"Branislav Sobota"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"17905",title:"Surgical Management of Malignant Melanoma of Gastrointestinal Tract",doi:"10.5772/18620",slug:"surgical-management-of-malignant-melanoma-of-gastrointestinal-tract",body:'\n\t\tMalignant melanoma of gastrointestinal (GI) tract is a less common condition especially in eastern countries and can be either primary or metastasis. Most of the cases are secondary melanoma. GI metastases are frequently found during autopsy, only small proportion of the patients can be detected while living (2-5% of the patients). Clinically, a primary GI malignant melanoma is suggested if the patient has no obvious primary cutaneous lesion or other extra-intestinal disease especially the ocular system. Malignant melanoma of anorectum is the most common site of the primary tumor of GI tract. For metastasis, small bowel is the most frequently site followed by stomach, large bowel and esophagus. Mucosal melanoma pursued more aggressive nature and poorer prognosis than other subsets of melanomas. Prognosis of malignant melanoma of GI tract is very poor because of difficult to diagnosis.
\n\t\t\tMalignant melanoma of GI tract can present as abdominal pain, upper or lower GI tract bleeding, obstructive jaundice, obstruction or perforation. Several case reports demonstrated small bowel obstruction from intussusceptions of malignant melanoma. The diagnosis can be made by GI endoscopy or imaging radiographic studies. The definite diagnosis is the pathological examination. Management of GI malignant melanoma depends on the location and number of the lesion. Surgical resection for primary melanoma of GI tract is the mainstay treatment and provides a chance for cure. For metastatic disease, multidisciplinary approach is the best option. Surgery is the alternative way to use in selected patient.
\n\t\tMelanoma originates from melanocyte, a pigmented, dendritic-like cell located in epidermis of skin, eye, epithelium of the nasal cavity, oropharynx, anus and genitourinary system. The diagnosis of melanoma includes assessment of the architectural and cytological features combine with the clinical examination. The only staging system of malignant melanoma is used for cutaneous melanoma because of the high incidence rate compare to non-cutaneous group, accounts about 90% of all melanoma. Of the remaining forms of melanoma, ocular melanoma accounts for 5%, mucosal melanoma for 1% and melanoma of unknown origin for 2%. Within the mucosal subgroup, half of them are head and neck origin followed by anorectal, female genital, and urinary tract tumors respectively. The pathological staging of primary tumor uses the tumor thickness and ulceration. Ulceration is defined as the absence of the intact epithelium overlying a major portion of the tumor. Ulceration is the result of the thickness of tumor and has a strong correlation to survival.
\n\t\t\tRecently, American Joint Committee on Cancer (AJCC) presented the 7th edition of the melanoma staging system in 2009. Differences from the 6th edition (2002) included the used of mitotic rate to classify stage 1a and 1b, used of immunochemical detection of nodal metastasis and no lower threshold to define positive nodal status. For stage IV disease, the staging system is not change. The site(s) of metastases and elevated serum levels of lactate dehydrogenase (LDH) are used to divided M stage to three categories; M1a, M1b and M1c. The definition and survival were shown in table 1.
\n\t\t\tM stage | \n\t\t\t\t\t\tSite | \n\t\t\t\t\t\tSerum LDH | \n\t\t\t\t\t\tOne-year survival rates | \n\t\t\t\t\t|
% | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t|||
M0 | \n\t\t\t\t\t\tNo distant metastases | \n\t\t\t\t\t\tNA | \n\t\t\t\t\t\tNA | \n\t\t\t\t\t|
M1a | \n\t\t\t\t\t\tDistant skin, subcutaneous, or nodal metastases | \n\t\t\t\t\t\tNormal | \n\t\t\t\t\t\t62 | \n\t\t\t\t\t\t<0.0001 | \n\t\t\t\t\t
M1b | \n\t\t\t\t\t\tLung metastases | \n\t\t\t\t\t\tNormal | \n\t\t\t\t\t\t53 | \n\t\t\t\t\t|
M1c | \n\t\t\t\t\t\tAll other visceral metastases Any distant metastases | \n\t\t\t\t\t\tNormal Elevated | \n\t\t\t\t\t\t33 | \n\t\t\t\t\t
Modification of the 7th AJCC classification of metastatic melanoma.
Most of melanoma in GI tract is metastases. Only 2-15% of all GI melanomas are primary. Whenever a seemingly primary melanoma is detected in GI tract, it is prudent to conduct a through clinical investigation to consider the possibility of metastatic disease including history, physical examination and investigations. Carefully history taking and comprehensive physical examination are the initial crucial step of the approach. Skin and eye examination should be mandatory examination in all patients. Gynecological and abdominal examination include rectal examination should be performed for the next step.
\n\t\t\tOzdemir et al. proposed criteria for diagnosis primary bronchial melanoma to be defined as a primary lesion that can apply to GI melanoma as well. The criteria including (1) there is only single lesion in the surgical specimen (2) there must be no previously excised skin tumor (3) no previous ocular tumor (4) morphology must be compatible with primary tumor (5) there must be no other demonstrable melanomas at the time of surgery (6) findings should be confirmed by careful autopsy. The lesions that not fulfill these criteria should be termed secondary. The problem of the criteria is we could know the exact diagnosis after the autopsy when patient passed away. Then, these criteria did not have an impact to the treatment, only for the epidemiology. Blecker et al. suggested the following criteria for a diagnosis of primary intestinal melanoma: 1) no evidence of concurrent melanoma or atypical melanocytic lesion of the skin, 2) absence of extraintestinal metastatic spread of melanoma, and 3) presence of intramucosal lesions in the overlying or adjacent intestinal epithelium.
\n\t\tSmall bowel is the most common site of GI melanoma and bleeding is one of the most frequent presentations of the patients. Therefore, a GI endoscopy with magnification should be the procedure of choice to diagnose malignant melanoma of GI tract. Multiple black, depressed lesions (1+ 5 mm in diameter) with a “bull’s eye” appearance are usually viewed in the GI mucosa (Figure 1). At present endoscopic ultrasonography (EUS) guided fine needle aspiration (FNA) may play an important role for cytological diagnosis in the patients with advanced disease (Figure 2).
\n\t\t\t\tEndoscopic view showed multiple typical black color lesions in the second part of duodenum.
EUS-guided (A) FNA for cytological confirmation (B) in the patient with advanced malignant melanoma.
Small bowel metastatic may present as varying sized single or multiple nodules that can have polypoid or infiltrating appearance. Central ulceration can occur when lesions outgrow their blood supply, giving a “target” appearance on barium study. The target sign can be found with other hematogenous metastases such as lymphoma or sarcoma. For small bowel metastatic, the lesion can be intraluminal involvement and act as leading point for intussusceptions.
\n\t\t\t\tCapsule endoscopy (CE) is the current standard and one of the most sensitive investigations for detection of small bowel lesion. The finding could be a polypoid lesion with central umbilication or an ulcerative lesion with bleeding. Prakosa et al. reported a series of 21 patients diagnosed malignant melanoma and underwent positron emission tomography (PET) scanning and CE. They suggested that CE could identify and provide confirmation of small-bowel involvement in patients with metastatic melanoma after PET scanning. These two investigations are recommended as part of the work-up of all patients with or without GI symptoms.
\n\t\t\tComputed tomography (CT) is the most commonly used imaging technique for staging and follow up in the malignant melanoma patients. Two studies have compared staging with Positron emission tomography (PET) and CT scan in all stages. Both studies found PET to be superior in terms of sensitivity and specificity to CT in all stages of Melanoma. In the contrary, Krug et al. demonstrated inferiority of PET to CT for the detection of lung and liver metastases.
\n\t\t\t\tMagnetic resonance imaging (MRI) is a good investigation for detection of brain and bone metastases. For anorectal region, MRI and endorectal ultrasonography are the good investigational methods for preoperative evaluation both of primary tumor and local nodal status. In one prospective study of 64 patients, whole-body MRI has been reported to have an overall accuracy for the detection of lesion slightly lower than PET-CT (78.8% vs. 86.7%), but the sensitivity for the detection of bone and liver metastases was better than PET-CT.
\n\t\t\tPositron emission tomography (PET) is an advanced diagnostic imaging technique. This technique exploits the increased metabolism of glucose in malignant viable cells. 18F-fluorodeoxyglucose (FDG) is one of the most commonly used radioisotopes. FDG is transported into tumor cells like glucose molecule. There is a many-fold increase in glucose metabolism in malignant tumors as compared with normal cells, therefore, the different in metabolism of tumor call and normal tissue can be detected by this technique. The potential benefits of FDG-PET for melanoma included the detection of locoregional and distant metastasis for staging.
\n\t\t\t\tThe presence or absence of regional lymph node metastases is an important prognostic factor for patients with melanoma. FDG-PET has shown a limitation of sensitivity and wide variation of the data from previous studies. The sensitivity of FDG-PET is varied from 8% to 100%. Moreover, in the subgroup of subclinical nodal disease in stage I and II melanoma, the sensitivity of FDG-PET is only 14-17% whereas, sentinel node biopsy reached 86-94%. Crippa
For the distant metastatic evaluation especially in curative intent resected patients, the precise identification of the location and number of metastatic lesions could be important for surgical planning. From several studies, FDG-PET has been shown to be more accurate than conventional modalities such as ultrasonography, CT, and MRI. Then, FDG-PET is most commonly used for suspected or known distant metastases. The sensitivity is varied from 79% to 92% and specificity is varied from 86% to 90%. Several reports identified the influence of therapy by FDG-PET, 17- 48% of patients were changed their treatment plan. In the same way, FDG-PET is highly sensitive and specific for detection or restaging of melanoma. Prichard
PET scan revealed multiple metastasis lesions of malignant melanoma of gastrointestinal tract such as pancreas, liver and small bowel.
GI tract is not the normal organ that contain of melanocytes. Then, how be possible primary melanoma can develop in GI tract? One explanation is neural crest cells that demonstrated in the intestines, these cells have a potential to develop to mature melanocyte. Another reason, the aberrant migration of melanocytes that usually migrate from neural crest to the epidermis, hair follicles, oral cavity, nasopharynx, uvea, leptomeninges, and inner ear during early embryogenesis. These are the reasons that why melanoma can be found in the gastrointestinal tract.
\n\t\t\tPrimary GI melanoma can arise in various GI mucosal sites, including oral cavity, esophagus, stomach, small bowel, colon and anorectum. Distinguish between primary and metastatic from an unknown or regressed cutaneous melanoma may be difficult. Clinically, a primary GI melanoma is suggested if the patient has no obvious primary cutaneous melanoma from history and physical examination. Moreover, the patient has an isolated GI lesion without extraintestinal metastases. For histologically, the presence of atypical melanocytic cells in the basal layer of the epithelium and extending in a pagetoid fashion in to more superficial epithelium, may be reported in 40-100% of primary GI melanoma. The surgical treatment and the outcomes were depended on the organ of tumor involvement. Then, we divided primary melanoma in this section to organ specific. Summarized of the survivals was showed in the table 2.
\n\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t
Oral cavity | \n\t\t\t\t\t\t27-38.9 | \n\t\t\t\t\t\t30-40% | \n\t\t\t\t\t
Esophagus | \n\t\t\t\t\t\t12-13.4 | \n\t\t\t\t\t\t4.2-14 % | \n\t\t\t\t\t
Stomach | \n\t\t\t\t\t\t5-12 | \n\t\t\t\t\t\t0 | \n\t\t\t\t\t
Small intestine | \n\t\t\t\t\t\t16 | \n\t\t\t\t\t\t10% | \n\t\t\t\t\t
Colon | \n\t\t\t\t\t\t27.5 | \n\t\t\t\t\t\t21-56% | \n\t\t\t\t\t
Anorectum | \n\t\t\t\t\t\t15-28.6 | \n\t\t\t\t\t\t17-30.6% | \n\t\t\t\t\t
Gallbladder and biliary tract | \n\t\t\t\t\t\t20.1-41 | \n\t\t\t\t\t\t29 % | \n\t\t\t\t\t
Summarized of survivals divided by primary organ involvement.
Primary malignant melanoma of esophagus is the rare condition, accounts only 0.1-0.2% of primary esophageal tumors. Whereas, cadaveric study from De la Pava
Patients may present with symptoms of dysphagia, retrosternal discomfort, weight loss, regurgitation or melena. After careful history and physical examination, barium swallow and/or endoscopy is the next investigation same as all esophageal lesions. The characteristic endoscopic appearance of primary malignant melanoma is a polypoid, irregularly pigmented, obstructive esophageal tumor. The tumor most often is polypoid; the nonpolypoid form is extremely rare. The color of the tumor may vary from black to white. An ulcerative lesion of the mucosa can be found in some case, then some tumors may be difficult to differentiate from esophageal carcinoma. Most of the cases are grossly pigmentation, but not almost always. The endoscopic biopsy can diagnose only half of the patients due to submucosal nature of the tumor. Up to 25% of all esophageal melanomas are amelanotic. Presence of associated benign melanocytes or in situ melanoma from pathological examination favors the diagnosis of primary, rather than metastatic. If primary malignant melanoma is suspected at endoscopy, immunohistochemical staining of biopsy specimens is essential for diagnosis.
\n\t\t\t\tRegard to difficulty of the diagnosis, half of the patients are stage IV when diagnosed. The median survival is about one year and 5-year survival varied from 4.2% to 14%. The mainstay of the treatment is still surgical resection with dissection of the regional lymph nodes. Compared with other esophageal tumors, wider margins of resection are required. For early-localized lesion, radical resection had a significantly longer survival compare to local excision. Radiation can increased the mean survival rate from 14.2 months to 16.7 months, while adjuvant chemotherapy have a limited benefit. Only some case reports that demonstrated the long-term survival from surgical resection combine with chemotherapy. There are some alternative techniques such as endoscopic mucosal resection and localized ablative approaches were proposed in case report but the data still limited.
\n\t\t\tPrimary melanoma of stomach is the very rare disease entity and related to poor outcomes. Most of the reports are the case report then, the data is quite limited. The presenting symptoms of gastric melanoma are non-specific including nausea, vomiting, abdominal pain, weight loss and anemia. Perforation and/or upper GI bleeding can be presented as an initial diagnosis in some patients. Barium study, endoscopy and CT scan are the most common investigational methods. In the same way of esophageal melanoma, pigmentation of the lesion is the most clues for diagnosis and found in the majority. The median survival is usually less than 1 year. Cheung
Primary melanoma of gallbladder is extremely rare condition as well as isolated metastasis to gallbladder. Regard to clinical presentation, involvement of the gallbladder rarely produces symptoms. Some case reports presented acalculous cholecystitis as a clinical presentation of these patients. Therefore, it is difficultly to diagnose melanoma of gallbladder preoperatively. Abdominal ultrasonography is a useful, easy, and inexpensive modality for assessing a gallbladder lesion. CT scan and Magnetic resonance cholangiography may add more information. Surgical resection of gallbladder is the treatment of both primary and metastatic lesions. The mean survival times for primary gallbladder melanoma is 20.1 months and for metastatic is 8.4 months, with few patients surviving longer than 2 years.
\n\t\t\t\tIn 1963, Zaide first described primary malignant melanoma of common bile duct. This is also rarely disease entity same as the others primary GI melanoma. The existence of melanocytes in bile duct tissue is truly possible. Melanocytes derive from cells of the neural crest and can migrate throughout the body. They have been definitely identified in areas of endodermal origin, including gallbladder. The symptoms of this tumor mostly presented with obstructive jaundice. In most of the cases, the diagnosis can be made after the time of surgery. Wagner
Gastroscopy revealed multiple lesions of metastasis malignant melanoma in the stomach (A&B).
All of the patients underwent surgery including 4 Whipple operations, 2 partial hepatectomies and one resection of common bile duct. Three of them (2 Whipple and 1 hepatectomy) dead within 6-18 months from distant metastasis whereas three of patients didn’t mention about follow up period. Therefore, it is not possible to conclude the optimal surgical option for this disease due to very limited of the data. There are also had a few literatures that reported the extremely rare primary malignant melanoma of intrahepatic duct and liver in a case report format. Because of the limitation of the data, then we not presented the detail of these disease entities in this chapter.
\n\t\t\tCutaneous melanoma is the most common types of the tumor metastasis to GI tract which small intestine is the most common site of metastatic melanoma in the GI tract. However primary melanoma of small intestine is not common. Small bowel lesion can present with bleeding, abdominal pain, obstruction, weight loss and malabsorption. Intussusception can be a presenting symptom of small bowel melanoma. Diagnosis of small intestine lesion is typically made by contrast imaging study (small bowel follow-through), CT scan, endoscopy (push, single or double balloon and capsule endoscopy) and PET. Primary intestinal melanoma tends to be more aggressive and worse prognosis than cutaneous origin. The possible reasons are due to late diagnosis and rapidly growth of the tumor in the rich vascular and lymphatic supply of the intestinal mucosa.
\n\t\t\t\tSurgery is the treatment of choice in patients with primary or metastatic intestinal melanoma. Segmental resection with adequate free margins is a recommended procedure. Morbidity and mortality of this type of surgery is very low. Systemic adjuvant therapy has a limited role for this disease. The median survival rate is 16 months and 5-year survival rate is 10%.
\n\t\t\tPrimary melanoma of the colon is also a rare clinical entity. Khalid et al. (2011) reported their review study of 12 patients with primary melanoma of colon. Right-sided colon is the most common location of the disease; about 65% of the patients. Lower GI bleeding is the most common presentation (50%) followed by abdominal pain (20%), obstruction (20%), and weight loss (16%). Amelanocytic colon melanoma is found in 14% of the cases.
\n\t\t\t\tFor localized disease, surgical resection is the mainstay of the treatment. We cannot conclude that what is the standard of the operation because of the limitation of the data. Most of the patients in the previous studies underwent the oncologic colon resection same as adenocarcinoma. The prognosis of primary malignant melanoma of the colon seems to be better than other types of primary mucosal melanomas. However, colon melanoma is still aggressive than cutaneous origin. One-year and five-year survival rates are 37-60% and 21-33%, respectively and the median survival is 27.5 months.
\n\t\t\tIn 1857, Moore first described anorectal melanoma, a rare and very aggressive tumor with the extremely poor prognosis. The incidence is less than 1% of all melanomas and about 2 - 4% of all anal malignancies. Majority about two-third of all lesions are pigmented. Two-third of anorectal melanoma is located within the anal canal or at the anal verge and the others demonstrated in the rectum. Presentation is often nonspecific symptoms and indistinguishable from other conditions in this area such as rectal bleeding, palpable of anal mass, anal pain or discomfort. Some of the patients underwent an excision due to misinterpreted as a thrombosed hemorrhoid or anal polyp. Anorectal melanoma is diagnosed histologically by melanin pigment. However, immunohistochemical staining of melanoma antigen such as HMB-45 and S-100 protein are adjunctive for diagnosis.
\n\t\t\t\tUnlike cutaneous melanoma, noncutaneous origin are more likely to be found metastasized to locoregional lymph node or distal organ when the time of diagnosis. For anorectal melanoma, incidence rate for locoregional lymph node is 61% and distant metastases are 29%. Surgery still is the mainstay of the treatment for primary anorectal melanoma. The extent of resection (wide local excision versus radical resection) and extent of lymphadenectomy remain debated. Early some studies proposed radical resection like abdominoperineal resection was associated with the better outcomes. Unfortunately, other studies have reported similar patterns of recurrence and survival in patients undergoing local excision. Unlike anorectal adenocarcinoma, in the study from Memorial Sloan-Kettering, demonstrated lymph node metastases did not predict outcome of patients undergoing radical resection. Moreover, prophylactic bilateral inguinal lymphadenectomy in the patients with clinically non-palpable lymph node has not shown to improve survival. The details of results from previous studies were summarized in the table 3.
\n\t\t\t\tChange of practice patterns over the time depend on the new data that suggested local recurrence and survival are not associated with extent of resection. Moreover, recurrences of primary anorectal melanoma after surgery are more commonly distant and lethal. Then, local excision is the appropriate surgical management for localized primary anorectal melanoma. More radical resection and nodal resection may be needed in selected patients with clinically bulky tumor, involved sphincter complex or nodal positive including locoregional and inguinal area.
\n\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t|||
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t|||
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t1974-1990 | \n\t\t\t\t\t\t\t24 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t1973-1987 | \n\t\t\t\t\t\t\t55 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t1929-1993 | \n\t\t\t\t\t\t\t85 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t1977-2002 | \n\t\t\t\t\t\t\t40 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t14 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t1984-2003 | \n\t\t\t\t\t\t\t46 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t1997-2006 | \n\t\t\t\t\t\t\t79 | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t1960-1999 | \n\t\t\t\t\t\t\t251 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
Summarized of previous studies of primary anorectal melanoma (DFS: Disease free survival, OS: Overall survival, NS: not significant).
Survival rate of stage IV melanoma patient is really worse, typically measured in months rather than years. Recurrence is identified about one-third of the patients, most of them recur at the regional nodes. For distant metastasis, almost major organ and tissue can be a site of metastases. Commonly of metastatic image is a wide spreading disease then role of surgical management is often palliative. In a retrospective review of 4,426 patients with stage IV melanoma treated at the John Wayne Cancer Institute, only 35% of all cases underwent surgical resection. These patients had a 5-year overall survival of 23% compared with 6% in those who were not surgical candidates (p< 0.001). Surgery with the intent of providing long-term survival should be considered only when all sites of disease can be completely removed. Therefore, a careful evaluation is an importance step of management and for looking to exclude others organ involvement. Regard to palliative intent, patient’s status, comorbidities, symptoms and life expectancy are the clues to decide the operative procedure.
\n\t\t\tPreoperative evaluations include history taking, physical examination and assessment investigation such as ultrasonography, CT scan and MRI are a useful tool to evaluate status of the patients. CT scan is the most commonly used staging modality and has sensitivity about 60%. PET scan seems to have more sensitivity than CT scan, previously the sensitivity was reported in range from 70-100%. There are some reports proposed that the precise preoperative imaging can change surgical decision making 17-48%.
\n\t\t\tThe GI tract is an uncommon site for malignant metastases, only 2-5% of these patients can be detected clinically. However, melanoma is one of the most common tumors that metastasis to GI tract. Small intestine is the most common size. GI metastases are usually associated with disseminated disease. From previously studies, the median survival time is only 5-11 months in secondary GI melanoma and estimated 5-year survival is usually less than 10%. Depend on the nature of the disease, the intent of surgical treatment usually for palliation. Surgery can relive the symptoms about 70-90% of the group especially obstruction, bleeding and perforation. The morbidities and mortalities of GI surgery are acceptable usually mortality less than 5% from previous studies.
\n\t\t\tOne paper from Memorial Sloan-Kettering Cancer Center reported 68 patients, who underwent surgical exploration for metastatic GI melanoma from total 7965 melanoma patients. The most common presentations are anemia (60%), abdominal pain (59%) and bleeding (44%). Sixty-two from 68 of patients had small bowel involvement. The median survival was estimated to be 8.2 months (6.9-11.4 months). The 1-, 2- and 5-year survivals were 35%, 23% and 18%, respectively. The significant factors from multivariate analysis were included preoperative serum LDH (p< 0.01) and residual disease (p= 0.03). Ninety percent of the patients had palliation of symptom after surgery.
\n\t\t\tAnother large series of secondary abdominal melanoma from M.D. Anderson, 251 patients was enrolled from the year 1970-1991. The common metastatic organs are small bowel (62%), mesenteric lymph nodes (45%), liver (37%) and stomach and duodenum (31%). The median of interval time after diagnosis was 38.5 months (1-258 months) and 13% of the cases developed intraabdominal recurrence during the first year of follow-up period. The median survival is 8 months in only intestinal metastatic group, 5 months in only visceral metastatic group and 4 months in both metastatic organs group. For palliative surgical resection, the median survival was increase significantly from 5 months in non-surgical group to 11 months in surgical group (p< 0.0001). This benefit of the palliative surgical resection is concordant to our study that previously reported. In the 86 patients’ subgroup that had severely symptoms, surgergical approach was associated with longer symptom-free periods compared with non-surgical approach significantly (p< 0.0001). The multivariate analysis revealed that complete tumor removal, only intestinal metastasis and interval time of recurrence after diagnosis greater than 48 months were significance associated to better overall survival (p= 0.0001, =0.002, =0.005, respectively). Concomitant to most of the reports that supported complete resection, GI tract as a first site of metastasis, longer of disease free interval or interval from diagnosis, and lower level of LDH were associated to better outcomes. Summarized of favorable factors from multivariate analysis was in table 4.
\n\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t
- Complete removal of the tumor - Intestinal metastasis without others abdominal visceral involvement - Interval time of recurrence after diagnosis greater than 48 months - GI tract as a first site of metastasis - Presence of extra-abdominal disease - Preoperative serum LDH level < 200 u/L | \n\t\t\t\t\t
Summarized of favorable factors from multivariate analysis.
From these data, we can summarized that for secondary GI melanoma, particularly if the GI tract is the first site of metastasis, the curative surgical resection should be strongly considered not only for palliation of symptoms but also for improvement in survival. Although, improvement of survivals is only in the number of months, but surgery can provide significant improvement in quality of life of the patients with acceptable operative morbidity and mortality.
\n\t\tOver the past 50 years, more than 100 randomized clinical trials have investigated cytotoxic chemotherapeutic agents and immunostimulants such as Bacille Calmette-Guerin (BCG),
Most of the data are in the setting of treatment of metastatic disease. Apart form IL-2, Dacarbazine (DTIC) is one of the two agents that were approved from U.S. Food and Drug Administration (US-FDA) for the treatment of advanced melanoma. The response rate was 19-28% from previous studies. Unfortunately, no any studies demonstrated the benefit of overall survival of DTIC compare to supportive care in the advanced melanoma patients. Temozolomide (TMZ), an analog of DTIC with similar activity, the potential benefit over DTIC is available in oral form. Several studies suggested TMZ is active against CNS metastases. Therefore, TMZ should be considered in the patient with brain metastases although, no difference of overall survival compare to DTIC.
\n\t\t\t\tThe combination of chemotherapeutic agents have been developed including BOLD (Bleomycin, Vincristine, Lomustine, and DTIC), CVD (Cisplatin, Vinblastine, and DTIC), The Dartmouth regimen (DTIC, Cisplatin, Carmustine, and Tamoxifen). The response rate was improved, but no difference in survivals compare to DTIC alone. Moreover, the toxicity was increased when used of the combine regimens.
\n\t\t\tHigh dose of the Interferon α-2b (IFN α-2b) is the only adjuvant therapy for stages II and III cutaneous melanoma that got the approval form US-FDA. Relapse-free survival was significantly prolonged (p= 0.006, HR= 1.30) compared to observational group. Unfortunately, the data did not show a survival benefit. The toxicities considerably affect quality of life over the course of the treatment. The most common toxicity is neutropenia. Interleukin-2 (IL-2) was approved by US-FDA for the treatment of adults with advanced metastatic melanoma. IL-2 toxicity can involve multiple organ system, most significantly cardiovascular, respiratory, and excretory system. Most of the toxicity is related to the capillary leak syndrome. To improve the activity of immunotherapy, combining different chemotherapy agents (Biochemotherapy, BCT) and vaccines has been reported. All of studies concluded that BCT is associated with increased toxicity and the highest response rate is about 50%. A metaanalysis of BCT by the Cochrane Collaboration included 2,625 patients. The response rate is increased in the group of BCT, but no difference in overall survival. (p= 0.31, HR 0.89)
\n\t\t\tMelanoma has a unique relationship to the immune system with the development of spontaneous tumor-specific immune responses in patients. For this reason, melanoma has been a frequently targeted disease in the development of cancer vaccines. The various vaccines were used in the treatment of melanoma including DNA vaccine, dendritic cell vaccines, peptide-based vaccines, and viral vaccines. Although vaccines have been demonstrated to produce immunologic responses, unfortunately, no clinical benefit has been demonstrated in the previous large randomized vaccine trials performed in melanoma in the adjuvant setting.
\n\t\t\tDespite of increasing understanding the biology of melanoma, the novel therapeutic agents that developed based on the new knowledge with some demonstrated promising antitumor effect in several clinical trials. Ipilimumab (MDX-010) is an IgG1 antibody. The several of phrase II trials of ipilimumab demonstrated a promising 1-year OS of over 47% and a 2-year OS of over 30% (compare to 25% of 1-year survival from meta-analysis). A double–blinded phrase III randomized study is ongoing. The in depth other agents such as Bevacizumab, Thalidomide is beyond the scope of this review.
\n\t\t\t\tThe discovery of
Although, melanoma is a relatively radio-resistance tumor, undoubtedly, radiation is an effective palliative treatment for the 40 -50% of patients who develop unresectable, locally recurrent, and/or metastatic disease resulting in bone pain, spinal core compression, tumor hemorrhage, and central nervous system dysfunction secondary to cerebral metastases.
\n\t\t\tMalignant melanoma of GI tract is uncommon especially primary GI melanoma. History taking and careful physical examination is the first step of approach to rule out the primary other sources. Skin, eye and rectal examination should be mandatory performed. Investigation including endoscopy, ultrasonography, contrast GI studies, CT scan, MRI, and PET scan can be used for different purposed. Prognosis is quite poor, particularly in secondary GI melanoma. Anorectal melanoma and small bowel is the most common site in the primary and metastatic GI melanoma respectively. Surgery is still the mainstay of the treatment for localized primary disease. Extensive surgical resection is reserved for selected patients. Melanoma is one of the most common tumors that metastasis to GI tract. The median survival is usually less than year and estimated 5-year survival is less than 10%. Palliative surgical resections are recommended for symptoms relieved. Moreover, it can be prolonged survival in the subgroup that completely tumor removal was achieved. Unfortunately, most of the cases after resection will experience recurrence of the diseases. Then, the current adjuvant treatment such as immunotherapy, chemotherapy, targeted therapy, and vaccination may play the important role in this setting.
\n\t\tMulti-factor authentication is a promising authentication method, in which the user is required to provide two or more verification factors to gain access to a service or a resource. Multi-factor authentication could use One time Passwords (OTPs), physical biometrics such as face-recognition or finger-prints, etc. Although passwords have been used regularly for authenticating users for years, they are losing their popularity as passwords can be cracked or stolen quite easily. Biometric security was introduced as a better solution to verify individuals based on their unique characteristics [1]. Physical biometrics, such as fingerprints, face recognition and iris scanning, are currently being used extensively in many applications to secure access to servers and services. However, they are mainly used to perform static authentication to grant access to authorized individuals. Physical biometrics are not commonly used to constantly authenticate users while they are using the service.
With the escalating cybercrimes, static authorization fails to keep systems secure. Session hijacking and man-in-the-middle attacks are just two examples of possible threats that can have significant impacts on systems and networks, even if static authentication was deployed. Therefore, security experts are currently considering the implementation of dynamic, continuous authentication in a wide range of applications. Continuous authentication can be done using behavioral biometrics (BB), which is one of the most promising solutions to this problem. Also known as
Since behavioral biometrics is a continuous way of authentication, it keeps checking the behavioral patterns of users. Body movements, voice modulations, typing style and speed, mouse movement styles, and behavior are some of the behavioral biometrics which are known to have uniqueness in it. The behavioral biometrics are primarily based on either the way human-computer interactions take place or the measurements of the body parts and muscle actions [2]. It focuses on how a user conducts a specific activity rather than focusing on an activity’s outcome [3].
This chapter begins with an overview of behavioral biometrics in Section 2, which discusses the different types of behavioral biometrics, their advantages, and their shortcomings. Section 3 provides a survey of the research work on behavioral biometrics in the literature. This includes the latest research trends and directions related to behavioral biometrics. There are also several industrial organizations providing commercial platforms that support behavioral biometrics authentication. Section 4 provides a review of those companies and their products. Section 5 presents cases studies of various application domains where behavioral biometrics is used for security authentication. Finally, we draw our conclusion in Section 6.
With the increasing level of fraud and unauthorized intrusions in various areas of life, especially in banking; the need of multi-factor authentication was significant. Companies and service providers started enforcing multi-factor authentication as a new security requirements to maintain access to services or resources. Biometrics are currently used in many applications as the second level of authentication, along with passwords, for authorizing or even identifying users.
There are two main categories of biometrics that are currently being used. These two categories are physical and behavioral. Physical (physiological) biometrics depends on the measurements of a specific individual’s features for identity verification/authentication. This includes face geometry, fingerprints, certain parts of the eye, vein patterns, and other corporal traits. To put it simply, physical biometrics replace “things that you know” (passwords and PINs) with “things that you are” [4]. Other examples include DNA, ear, footprint, palm print, retinal, etc.
On the other hand, behavioral biometrics is the measurement and analysis of human-specific behavioral traits based on human movement or their interaction with the computer parts, such as mouse, keyboard or handheld devices like ipads, or phones.
Physical biometrics are commonly used for one-time authentication, whereas, for dynamic authentication, behavioral biometrics can be more effective. Behavioral biometrics deployment can be divided into four distinct types of applications: continuous authentication, risk-based authentication, insider threat detection, and fraud detection and prevention [3, 5]. Behavioral biometric authorization integrates three main fields: human behavioral pattern analysis, smart sensors technologies, and machine learning models.
The biometric types are shown in Figure 1.
Types of biometric.
There are many advantages of behavioral biometrics over physical biometrics. The following points highlight these advantages [5, 6, 7].
Although behavioral biometrics authentication has high accuracy and acceptance rate, it still has several challenges that hinder the implementation of such systems in a wide range of applications. The following points highlight these challenges.
Behavioral biometrics systems measure various human actions. These actions can be the result of human skills, such as motor skills, style, preference, knowledge, or strategy [5]. Based on the traits and features used for collecting human behavior, behavioral biometrics can be classified as:
For the purpose of identification or authorization, behavioral biometrics data is first collected and stored. The data is processed further to prepare a signature profile. Using machine learning classifiers, predictive models are trained, developed, and evaluated. Later, this model is used as a comparison tool, whenever the user uses the application. Using behavioral patterns, the model is used to continuously verify the user’s profile throughout their working sessions. The generic architecture of a biometric system consists of five main modules:
Data Collection Module: This module captures the biometric raw data to extract a numerical representation.
Feature Engineering Module: To reduce the extracted numerical representation and optimize the data into required features that need to be stored for the verification and identification purposes.
Storage module: This module stores the individuals’ biometric profiles in the form of dataset.
Matching module: The module is used to compare the newly extracted biometric profile to one or more previously stored profiles.
Decision module: This is the verification step to return a value that decides for identification/authorization.
The BB model is shown in Figure 2.
Behavioral biometric model.
Behavioral biometrics has drawn the attention of both researchers and industry experts. The common areas where behavioral biometrics has played a very important role are user profiling, user modeling, opponent modeling, criminal profiling, jury profiling, etc. [5]. The information/data that may be collected for behavioral analysis may come from several sources like sensors, cameras, keyboard and mouse usage, device, audit logs, signatures or handwriting, programming style, language, smell, etc. [5]. Moreover, physical traits like odor, heartbeat, and even DNA are also being used in some applications. Researchers have also started exploring ECG, brainwaves, and passthoughts to analyze behavioral traits [5].
The most commonly used behavioral biometrics is keystroke dynamics. Keystroke dynamics have been used to authenticate users for years. Keystroke dynamics data can be collected by typing standard or non-standard passwords. Features extracted from the raw data that represent the typing patterns are used to create a unique profile for each user and to authorize those users later to resources [8, 9, 10]. It can also be used to recognize the emotions of a person [11]. To recognize the emotion from typing patterns, users are asked to type a specific sentence. Using feature extraction techniques, predictive models can be trained to classify various emotions. In one study, touch sense was defined and created as an emotion detection model based on typing and swiping patterns of a user with an accuracy rate of 73% [12]. Typing and swiping patterns are used in several applications to detect the emotions of smartphone users [12].
Another example of behavioral biometrics is mouse dynamics, where the recognition of a user profile is done based on the way a user uses his/her mouse on the computer [13, 14, 15]. The behavioral profile is created by extracting specific features related to the mouse movements of a user. Mouse and keystroke dynamics are related and complement to each other. The use of the mouse is very important in graphical user interface applications, while the keyboard is commonly used in word processing and command-line applications [16]. Mouse and keystroke dynamics are significantly important in enhancing computer security.
One of the most interesting research directions in behavioral biometrics is GAIT analysis. GAIT analysis is used to authenticate users based on their style or manner of walking [17, 18]. GAIT analysis systems depend mainly on a video camera, that captures images of people walking within its field of view. The images are processed to get appropriate features of users such as joint angles or silhouettes and the values are then compared to the stored gait signatures and profiles of the authorized individuals. One of the main advantages of GAIT analysis is that it is non-intrusive, which means that it does not require cooperation from the individual, and can function at moderate distances from the individual under observation.
Biotouch is another framework based on behavioral biometrics and location for continuous authentication on mobile banking applications [19]. Biotouch uses touch patterns for profiling users while typing and holding the device. This data is then used for predictive model building and authorization.
A new technique in profiling users’ behavior is creating users’ profiles based on their game playing styles. This technique analyzes the strategies used while playing a game and creates a user profile based on these strategies, as a type of behavioral biometric. These profiles are used later for continuously observing and authorizing the player to the servers [20]. One example of using this new technique is exploring the strategies used while playing the poker game to create behavioral biometric profiles [20]. Once a profile is created, it can be used to authorize the player on the go.
Another interesting approach is using odor as a biometric to identify individuals [21]. In this approach, the tiny quantities of molecules that constantly evaporate and produce the smell, known as odorants, are detected by a special sensor called
Facial recognition and emotion detection have been used in many applications to classify users. Gabor wavelets is a method to extract features from an image for recognition. For example, analyzing facial images for face recognition by pre-processing or normalizing the face image [23]. As a common rule, the eyes and the mouth will always be aligned roughly at the same position in same-sized images for face processing. Gabor filters for different scales at different orientations are applied to each facial image for the purpose of creating feature vectors to train machine learning models.
Several researchers considered handwriting biometrics as behavioral biometrics as they are based on actions performed by a specific subject. Handwriting recognition is the task of transforming a language represented in its spatial form of graphical marks into its symbolic representation [24].
Voice recognition is one of the behavioral biometrics that can be used to identify a vocal pattern based on sound variations that are most common in a person’s speech. Both speaker identification and speaker verification can be done by capturing important narrow-band speaker characteristics such as pitch and formats [25]. This technique is used for biometric authentication, forensics, security, speech recognition, and speaker diarization.
A brief list of previous studies is given in Table 1.
Behavioral Biometrics | Purpose |
---|---|
Keystroke Dynamics | To recognize a person using keystroke dynamics [11]. |
Keystroke and Mouse Dynamics | Identity theft issues by verifying users based on their keystroke dynamics and mouse activities [26] |
Touch and hold a device | Emotion detection from touch interactions during text entry on smartphones [12] |
Touch Patterns | continuous authentication on mobile banking applications [19] |
Mouse Dynamics | Computer user recognition based on the way a user uses his/her mouse [15] |
GAIT | Authorization process based on style or manner of walking [17, 18] |
Strategy | Player profile is used to authorize the player on the go [20] |
Odor | Human recognition through the odor authentication [21] |
Gabor wavelets | To extract features from an image for recognition [23] |
Handwriting Biometric | A process of transforming a language represented in its spatial form of graphical marks into its symbolic representation [24] |
Speech | Useful for biometric authentication, forensics, security, speech recognition, and speaker diarization [25] |
Behavioral biometric research work.
Not only researchers, but many industry experts are working diligently to improve the applications and performance of behavioral biometric solutions.
Founded in 2011, BioCatch is working diligently to address next-generation digital identity challenges by focusing on online user behavior. BioCatch has developed several solutions that could improve security in the following use cases: 1) Account opening protection, 2) Account takeover protection, 3) Social engineering scam detection, 4) PSD2 strong customer authentication, etc. [27]. As per BioCatch, “In our digital world, behavior tells all” [27]. Regardless of an attacker’s chosen mode of operation, user behavior can never be stolen, spoofed, or replicated. BioCatch has developed solutions that can continuously monitor a user’s physical and cognitive digital behaviors. These solutions can be used to analyze thousands of interactions per session and build models to distinguish between genuine and non-genuine users. The solutions are used for several surveillance systems like account opening protection, account takeover protection, advance social engineering, payment scams, proactive mule detection etc.
BioCatch is providing its software products to many leading banks and helping them to prevent identity thefts and other frauds detection and protection. Some major clients for BioCatch are HSBC, American Express, etc. [27].
Simprints works on the motto of “Transforms the way the world fights with poverty”. They are working on building technologies that can be used to identify the person with fingerprints to generate biometric ID for data analysis. The plan is to build a technology that can radically increase transparency and effectiveness in global development, making sure that every vaccine, every dollar, every public good reaches the people who need them the most [28].
Founded in 2016, Plurilock is working to provide an advanced authentication system using behavioral biometrics [29]. They use the concept of device-based gestures to authenticate users using keystroke dynamics and mouse movements in their two products namely, PLURILOCK AWARE and PLURILOCK DEFEND [29].
Plurilock Aware—deals with the problem of login credentials, and ends up the frustration of typing passwords and OTP. It provides identity verification by recognizing the typing patterns of the users. It is invisible to the users, not-stealable, and takes care of privacy.
Plurilock Defend—detects the legit person, while the session is on, using continuous authentication. It also monitors the session activity. Using continuous keystroke and mouse monitoring, the risk is reflected and the system is alarmed.
The AWARE and DEFEND products use patented algorithms to bring continuous authentication to highly-regulated environments like government, critical infrastructure, financial services, and healthcare.
Using keystroke dynamics, TypingDNA provides continuous authentication. Founded in 2016, TypingDNA works on recognizing a person’s typing behavior for authorization. The company had launched four products for verification and authentication purposes:
VERIFY 2FA—a 2-factor authentication product, which has an AI agent, which examines and saves the typing pattern of a user for future verification [30]. The second product is authentication API. It uses four different ways to authenticate the user.
Login authentication—when the user logs in for the first time, it will register that typing behavior and will use the created profile to verify the user later. When the user types his login credentials next time, the AI will match it with the first enrollment. If more than 90% of the features match, then the user will be authenticated [31].
ActiveLock—This product is used to restrict the unauthorized access to the company computers using continuous authentication. If any bizarre typing pattern is recognized by the system, it will automatically lock the computer system. Also, if an authorized person forgets to log out of his computer and any unauthorized person tries to access the data, continuous authentication will catch the unusual behavior and will lock the system [32].
Focus—Based on the typing patterns, this application helps users to recognize what mood they are in and what time of the day they are more productive. This application works as a mood tracker. When the user types anything, it examines the typing behavior and analyzes several features. This includes: when the user is actively engaged in typing, for how long he was typing, the typing speed and the typing volume. The tool uses AI to predict the mood of the user [33].
The company provides a complete package to prevent current and future digital fraud since 2015 [34]. ThreatMark is working to prepare solutions for banks to fight fraud, from early threat detection, over behavioral biometrics to transaction risk analysis.
Anti Fraud Suite (AFS)—Innovative, feature-rich and modular Fraud Detection Solution for Digital Banking and Payments featuring behavioral profiling, including behavioral biometrics, transaction risk analysis and threat detection in one machine learning-based analytics engine.
Clair—Unique Solution for Online lending, Gaming and other businesses looking to minimize fraud risk and/or credit risk. Clair is using behavioral profiling and biometrics to identify users, predict future business outcomes, fraud and more.
Founded in 2011, 3DiVi Inc. is an AI technology company focused on the application of deep learning to computer vision [35]. The company is working on developing state-of-the-art API/SDKs that enable smart devices to recognize humans. Their solutions are used by several big companies like Intel, Adidas, LG, Orbbec etc. The company is working hard to enable human-machine interface (HMI) in IoT, smart home, smart retail, smart car, robotics, and digital identity verticals. The product line has several specialized SDKs.
NUITRACK SDK—a 3D tracking middleware developed by 3DiVi Inc. This is a solution for skeleton tracking and gesture recognition that enables the capabilities of Natural User Interface (NUI) on Android, Windows, and Linux.
Interactive Android™ Box—Game with gesture recognition—Ultimate platform to build and sell applications with full body and face interactivity.
Face SDK—face recognition with a suite of solutions designed to enhance business capabilities, automate tasks, and increase overall community safety.
SEEMETRIX—Anonymous Face Analytics. This solution can be used to detect gender, age, emotions in a fraction of second
Zighra makes authentication more secure than static MFA and enables passwordless experiences [36]. Their platforms, combine insights from generative behavioral models and biological systems to train faster, dynamically adapt, and accelerate execution compared to AI approaches commonly used today.
The software provides task-based authentication where users are asked to perform a specific action as an authenticator to determine whether the user or a bot is trying to use the device, such as holding the phone and swiping across the screen. It also provides security intelligence, using the unique ways a user types, swipes, and taps.
Transaction risk assessment is done using machine learning and behavioral biometrics to ensure the identity of the user on the device and also provides proof of presence using AI, behavioral biometrics, sensor analytics, and network intelligence together to actively authenticate the identity of the on-device user [36].
They have been awarded an innovation contract to pilot continuous authentication for remote access using patented next generation AI technology by the government of Canada [37].
A speaker identification and verification (ID&V) system developed by Aculab, that captures tens of thousands of unique voices and speech characteristics to authorize the user on the go [38]. This solution is an ideal system for voice biometric authentication system in terms of performance and accuracy.
Cynet’s user behavior analytics system continuously monitors and profiles the user activity [39]. This profile is later used to define a legitimate behavioral baseline and identify anomalous activity to indicate any compromise in the user accounts. It provides real-time monitoring of all the interactions from the time users initiate by logging in.
The BehavioSec solution provides a continuously learning AI subsystem with pre-weighted machine learning models based on prior analysis, using a hybrid of offline and online calculations [40]. The company leverages APIs, SDKs, and rich behavioral biometrics insights, that can be used to embed seamless security into the existing systems.
Working toward deploying MFA in a digital world [41]. The initiatives are password authentication, portal and web apps security, RSA migration etc. The products are deployed in several industries like healthcare, retail, energy, financial, and public sectors.
They are the developers of a passive behavioral authentication platform designed to identify users without any conscious user action [42]. The platform developed utilizes sensor fusion with machine learning to provide enhanced accuracy while improving the user experience. This helps in authentication both in application and in the physical world.
A pioneer in the field of behavioral biometrics for mobile. They work to deliver continuous authentication technologies to strengthen security and reduce fraud while improving customers’ digital experience [43]. Their systems seamlessly collect and analyze a dynamic set of over 100 different behavioral parameters like keyboard-typing, scroll-velocity, touchpressure, and finger size to automatically create a unique user behavioral profile, which can be used for authorization later.
Table 2 provides a summary of the companies working on behavioral biometrics technology.
Company Name | Year | Types | Used by |
---|---|---|---|
BioCatch [27] | 2011 | Typing speed, Swipe pattern, mouse clicks | HSBC, Itau, BARCLAYS, nab, American Express, citi VENTURES, 86400 banks, NatWest |
Simprints [28] | 2012 | Wireless Fingerprint scanners | BRAC, Cohesu |
Plurilock [29] | 2016 | Keystroke dynamics, Pointer dynamics | US federal agencies |
TypingDNA [31] | 2016 | Keystroke dynamics | Microsoft Azure, ForgeRock, Optimal IdM, BBVA, Proctoru, Capgemini |
ThreatMark [34] | 2015 | Mouse events, keystroke dynamics, site navigation patterns, interaction with website elements | SLOVENSKÁ SPORITE |
DiVi [35] | 2011 | Facial Recognition, Skeleton tracking | Intel, Adidas, LG, Orbbec |
Zighra [36] | 2010 | Task-based authentication using behaviors such as holding the phone and swiping across the screen | Government of Canada innovation Fund |
VoiSentry [38] | 2018 | Speaker identification and verification system | ForgeRock, University of York, MyForce |
Cynet [39] | 2018 | Behavior analytic System to continuous monitoring | Darktrace, Microsoft Azure, Vectra Networks |
BehaioSec Inc. [40] | 2010 | The API can turn behavior into actionable intelligence with just a few lines of code | IDG, Gartner, Goode Intelligence |
SecureAuth Inc. [41] | 2015 | Identity Security Without Compromise | Xerox, Michaels, Unisys |
Unify Id | 2015 | Passive behavioral authentication platform designed to identify users without any conscious user action | US banks |
SecureTouch Inc. | 2014 | Deliver continuous authentication technologies to strengthen security and reduce fraud | Zaraz, Neon Media, TimeRack |
Behavioral biometric commercial organizations.
With the estimation of the growing behavioral biometrics market which is expected to reach $4.62 USD billion by 2027, it has almost grown in every area of usage [44]. In this section, we present some common applications where behavioral biometrics is used very extensively.
Behavioral biometrics is totally based on artificial intelligence and machine learning. In the 1960s, Dr. Gunnar Fant and Kenneth Stevens created the first model of speech production using X-rays and then in 1970, Dr. Joseph Perkell used those findings to create a speech recognition biometric model.
A timeline of behavioral biometric solutions is given in Table 3.
Year | Biometric Used | Used for |
---|---|---|
BC–220 AD | Use of handprints as evidence in Qin Dynasty | Crime Investigations |
The century | Chinese practice of using fingerprints | Personal Identification |
1641–1712 | Friction ridge skin observations | Plant Anatomy |
1856 | Observations on permanence | Identification |
1886 | Observation on fingerprints for Crime scene investigations and criminal identification | Authorization |
40’s | Morse code authentication in WWII | Authentication |
1942 | Telegraph operators unique tapping rhythm | Identification |
1949 | Iris Patterns | Identification |
1959 | Computer’s ability to learn on its own, without human intervention | Learning |
1960 | First model speech production using X-rays of speaking subjects | Authentication |
1960 | Facial recognition | Identification |
1965 | Signature recognition system | Identification |
1970 | Dynamic signature and fingerprints recognition | Identification |
1970 | An early form of biometric modeling using full-motion x-rays and the previous work of Drs. Fant and Stevens, even used today | Authentication |
1980 | Speech Group to promote voice recognition tech | Recognition |
1991 | Real time face recognition | Recognition |
1996 | Hand geometry recognition gets deployed at Olympics | Identification |
1999 | ICAO initiates study on biometrics and MRTD | Issuance and acceptance |
2001 | Face recognition is deployed at the Super Bowl | Recognition |
2001 | attacks on the World Trade Center draw attention to the need for continuous authentication as a new security measure in global information systems | Security |
2002 | DARPA launches Total Information Awareness (TIA), the first large-scale use of technologies designed to mine data sets for identifying biometric information | Identification |
2004 | US-VISIT (United States Visitor and Immigrant Status Indication Technology) becomes operational | Authorization |
2006 | innovative new algorithms to rapidly and transparently identify computer users as they work | Continuous authorization |
2010 | Keystroke Dynamics embedded in consumer products | Authorization |
2011 | Osama bin Laden’s body gets identified with biometrics | Identification |
2013 | Mobile biometrics | Authorization |
Mid 2010s | Continuous authentication for mobile application security | Authorization |
Mid 2010s | Biometric systems to improve security as well as the system performance | Authorization |
Late 2010s | Electric vehicles with face biometrics | Authorization |
2018 | World’s first phone with under-display fingerprint sensor | Identification |
Behavioral biometrics timeline.
Behavioral biometrics technologies are promising solutions that are designed to complement and improve systems security that is mainly based on physical biometrics. Behavioral biometrics is based on the analysis of unique parameters such as body movements, keystroke dynamics, and device-based gestures. The very common predictions about behavioral biometrics are its increased adoption for authorization, enhance proactive cyber security, and more accurate anomaly detection.
Behavioral biometrics can bring significant benefits to organizations and users. Moreover, it can also be used in emerging fields, such as improving the security of the internet of things, in addition to several traditional environments.
Although there are several challenges in the development and adoption of behavioral biometric systems, they are becoming more popular solutions as they work seamlessly without user intervention and special hardware requirements. Additionally, since the behavioral biometric system cannot be easily fooled using stolen data as the authentication happens dynamically, it provides increased security and convenience. The biggest challenge that faces the adoption of such systems is the need to constantly retrain their classification models to maintain high accuracy rates. Users’ behavioral patterns can change based on many parameters, such as emotions, again, illness, etc. Moreover, if the behavioral biometrics depends on sensors or smart devices to collect raw data, such as in keystroke dynamics, then the classification models need to create a new profile every time a user uses a new device. This constant re-training requires the utilization of advanced machine learning techniques, such as re-enforcement learning. Despite these challenges, behavioral biometrics are becoming more popular every day and the market trends show that they are here to stay.
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Fabric Engineering",fullTitle:"Woven Fabric Engineering"},signatures:"Gianluca Cicala, Giuseppe Cristaldi, Giuseppe Recca and Alberta Latteri",authors:null},{id:"22392",doi:"10.5772/19872",title:"Azo Dyes and Their Metabolites: Does the Discharge of the Azo Dye into Water Bodies Represent Human and Ecological Risks?",slug:"azo-dyes-and-their-metabolites-does-the-discharge-of-the-azo-dye-into-water-bodies-represent-human-a",totalDownloads:11706,totalCrossrefCites:17,totalDimensionsCites:69,abstract:null,book:{id:"528",slug:"advances-in-treating-textile-effluent",title:"Advances in Treating Textile Effluent",fullTitle:"Advances in Treating Textile Effluent"},signatures:"Farah Maria Drumond Chequer, Daniel Junqueira Dorta and Danielle Palma de Oliveira",authors:[{id:"49040",title:"Prof.",name:"Danielle",middleName:null,surname:"Palma De Oliveira",slug:"danielle-palma-de-oliveira",fullName:"Danielle Palma De 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Chequer"},{id:"153504",title:"MSc.",name:"Gisele",middleName:null,surname:"Oliveira",slug:"gisele-oliveira",fullName:"Gisele Oliveira"},{id:"163377",title:"Dr.",name:"Juliano",middleName:null,surname:"Cardoso",slug:"juliano-cardoso",fullName:"Juliano Cardoso"},{id:"163393",title:"Dr.",name:"Elisa",middleName:null,surname:"Ferraz",slug:"elisa-ferraz",fullName:"Elisa Ferraz"}]},{id:"70564",title:"Fundamentals of Natural Dyes and Its Application on Textile Substrates",slug:"fundamentals-of-natural-dyes-and-its-application-on-textile-substrates",totalDownloads:2939,totalCrossrefCites:9,totalDimensionsCites:21,abstract:"The meticulous environmental standards in textiles and garments imposed by countries cautious about nature and health protection are reviving interest in the application of natural dyes in dyeing of textile materials. The toxic and allergic reactions of synthetic dyes are compelling the people to think about natural dyes. Natural dyes are renewable source of colouring materials. Besides textiles it has application in colouration of foods, medicine and in handicraft items. Though natural dyes are ecofriendly, protective to skin and pleasing colour to eyes, they are having very poor bonding with textile fibre materials, which necessitate mordanting with metallic mordants, some of which are not eco friendly, for fixation of natural dyes on textile fibres. So the supremacy of natural dyes is somewhat subdued. This necessitates newer research on application of natural dyes on different natural fibres for completely eco friendly textiles. The fundamentals of natural dyes chemistry and some of the important research work are therefore discussed in this review article.",book:{id:"9203",slug:"chemistry-and-technology-of-natural-and-synthetic-dyes-and-pigments",title:"Chemistry and Technology of Natural and Synthetic Dyes and Pigments",fullTitle:"Chemistry and Technology of Natural and Synthetic Dyes and Pigments"},signatures:"Virendra Kumar Gupta",authors:[{id:"305259",title:"Dr.",name:"Virendra",middleName:null,surname:"Kumar Gupta",slug:"virendra-kumar-gupta",fullName:"Virendra Kumar Gupta"}]},{id:"49647",title:"Fiber Selection for the Production of Nonwovens",slug:"fiber-selection-for-the-production-of-nonwovens",totalDownloads:10512,totalCrossrefCites:9,totalDimensionsCites:17,abstract:"The most significant feature of nonwoven fabric is made directly from fibers in a continuous production line. While manufacturing nonwovens, some conventional textile operations, such as carding, drawing, roving, spinning, weaving or knitting, are partially or completely eliminated. For this reason the choice of fiber is very important for nonwoven manufacturers. The commonly used fibers include natural fibers (cotton, jute, flax, wool), synthetic fibers (polyester (PES), polypropylene (PP), polyamide, rayon), special fibers (glass, carbon, nanofiber, bi-component, superabsorbent fibers). Raw materials have not only delivered significant product improvements but also benefited people using these products by providing hygiene and comfort.",book:{id:"5062",slug:"non-woven-fabrics",title:"Non-woven Fabrics",fullTitle:"Non-woven Fabrics"},signatures:"Nazan Avcioglu Kalebek and Osman Babaarslan",authors:[{id:"119775",title:"Prof.",name:"Osman",middleName:null,surname:"Babaarslan",slug:"osman-babaarslan",fullName:"Osman Babaarslan"},{id:"175829",title:"Dr.",name:"Nazan",middleName:null,surname:"Kalebek",slug:"nazan-kalebek",fullName:"Nazan Kalebek"}]},{id:"41409",title:"Surface Modification Methods for Improving the Dyeability of Textile Fabrics",slug:"surface-modification-methods-for-improving-the-dyeability-of-textile-fabrics",totalDownloads:7038,totalCrossrefCites:13,totalDimensionsCites:36,abstract:null,book:{id:"3137",slug:"eco-friendly-textile-dyeing-and-finishing",title:"Eco-Friendly Textile Dyeing and Finishing",fullTitle:"Eco-Friendly Textile Dyeing and Finishing"},signatures:"Sheila Shahidi, Jakub Wiener and Mahmood Ghoranneviss",authors:[{id:"58854",title:"Dr.",name:null,middleName:null,surname:"Shahidi",slug:"shahidi",fullName:"Shahidi"}]}],onlineFirstChaptersFilter:{topicId:"296",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:31,numberOfPublishedChapters:314,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:18,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:14,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. 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He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. 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He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. 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