SVM-supervised classification.
\\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
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They are responsible for bringing out complex and rich flavors of food with their color, taste, aroma and making a cuisine distinct and popular. Without them kitchen looks empty and food gives a feeling of Stone Age. But do these spices just provide aroma or piquancy to food? Or is there any underlying advantage behind their regular consumption with food. Moreover, their usage depends upon habitat, time, and weather conditions. It is evident from both traditional as well as modern literature that vast medicinal properties offered by the spices makes them legendary and a vital part of daily diet. Pharmacological and molecular studies revealed that oils and alkaloids produced by most of the spices possess antimicrobial, anti-parasitic, immune booster, antioxidant and other important biological properties [1, 2, 3, 4]. Their antioxidant and bactericidal activities prevents rancidity thereby increasing storage life of food [5]. Turmeric, with curcumin as principle ingredient, has been quite extensively used in the treatment of disorders such as amenorrhea, inflammation, hepatitis, arthritis [6, 7]. Clove, cinnamon, are rich source of antioxidants exhibiting wide range of pharmacological effects [8].
As spices are rich in immunity boosting ingredients, their daily consumption would lead to development of long-lasting immune protection and might maintain safe drug bullets at a certain basal level in blood stream to tackle the infection. Since the outbreak of COVID-19, the first line of defense is body’s immune system. Therefore, regular usage of spices not only enhances the body’s immunity to fight against the infection but also provides a prophylactic therapy to prevent and minimize the chances of infection. Out of wide variety of spices, pharmaco-potential of some of them has been discussed here.
Turmeric (rhizome of
Biological properties and chemical constituents of Turmeric.
Anti-inflammatory and antioxidant effects of curcumin have proved to be beneficial against neurological diseases. Curcumin has the ability to bind amyloid β (Aβ) inhibiting fibrils formation [10] and, also enhance its cellular uptake [11], circumvent plaque deposition [12] thereby preventing Alzheimer’s disease. Furthermore, curcumin is capable of decreasing Aβ serum levels and attenuating inflammation in Alzheimer’s disease mouse models [13] along with rescuing altered neuritic morphology around Aβ plaques [14]. Additionally, studies have shown that curcumin decreased Huntington protein aggregation [15], suppressed cell death relieving disease symptoms [16]; modulated accumulation of α-synuclein which is the prime reason for Parkinson’s disease [17]. It has been reported that intravenous and oral administration of curcumin modulates dopamine related damage, induces microglial activation, and improves locomotion [18]. Curcumin has, further, shown to increase docosahexaenoic acid (DHA) levels [19]; improve learning and mental ability in scopolamine induced amnesia in mice [20]. Moreover, numerous other compounds with potent antioxidant activity have also been isolated from turmeric [21].
Curcumin has been known to downregulate production of inflammatory cytokines such as MCP- 1, TNF α, IL6, IL-1β both in vitro and in vivo [22, 23, 24]. However, recent study have suggested that efficacy to reduce levels of pro-inflammatory cytokines is enhanced on administering liposomal curcumin [25]. Studies have reported upregulation of heme oxygenase-1 reducing oxidative stress and providing protection against acute vascular inflammation in vitro as well as in vivo [26, 27].
Anti-rheumatic effects of curcumin have also been reported as curcumin decreased β3 and β7 integrins expression (adhesion molecules) ultimately decreasing joint inflammation; downregulated expression of chemokines, pro-inflammatory cytokines and growth-related oncogene/keratinocyte chemoattractant [28]. Further, randomized trials have also shown the efficacy of oral administration of curcumin in treatment of Rheumatoid Arthritis [29, 30].
Curcumin is effective in the management of virus infections as it inhibited Zika and Chikungunya virus at a concentration of 5 μM (IC50 = 1.9 and 3.89 μM respectively) [31], herpes simplex virus [32] and dengue virus [33]. Further, it inhibited human immunodeficiency virus (HIV) integrase and protease suggesting its protective effects against AIDS [34, 35]. The pandemic, COVID-19 related mortality is mainly due to acute respiratory distress syndrome with extensive cytokine storm. It has been reported that curcumin upregulates peroxisome proliferator-activated receptor-γ induction leading to inhibition of nuclear factor-κB (NFkb) signaling eventually decreasing cytokine storm [36] which suggests that curcumin might ameliorate COVID associated symptoms. Bioinformatic analysis have further shown ability of curcumin to interact with ACE2 receptor [37] and main protease [38] thereby fighting against COVID-19.
Curcumin displays antiparasitic and anti-cancer effects too. At a dose of 5 μM, it altered
Regardless of its demonstrated efficacy, purified curcumin has also been reported as pan assay interference compounds (PAINS) that show activity by interfering with assay readouts [46]. Curcumin exhibits PAIN properties such as fluorescence interference [47], aggregation [48], metal chelation [49], redox reactivity [50]. It is a highly unstable compound as it degrades rapidly in alkaline solutions [51]. Another drawback of curcumin is its poor bioavailability, however, number of formulations of curcumin with enhanced bioavailability and absorption are now available such as BioPerine-20x [52], BCM-95CG [52], Longvida-67x [53], Meriva-29x [54]. Furthermore, it is advised, traditionally, to consume turmeric powder with warm milk and ghee (Milk fat) as it is believed that this combination boosts immunity, purifies blood, beats everyday fatigue and anxiety, relieves cold and cough, which all are requirement to fight against COVID-19. Moreover, this combination might also enhance bioavailability of curcumin due to the constituents of milk and ghee such as casein, fats, iodine, phosphorus, calcium, vitamins etc.
Cinnamon has a sweet, warm taste and is derived from dried central part of bark of
Biological properties of Cinnamon.
Cinnamon has been reported to exhibit antioxidant effects. In vitro studies showed free radical scavenging activity of methanolic extracts of cinnamon against 2,20 -azinobis- 3-ethylbenzothiazoline-6-sulphonic acid (ABTS) radical and Diphenylpicrylhydrazyl (DPPH) radical cations [57]. Intake of 100 mg/30 ml of cinnamon tea for 2 weeks showed reduction in the levels of 2-thiobarbituric acid reactive substances (TBARS) in plasma by 38% and increase in total antioxidant power 21% in a clinical study [58].
Antidiabetic and cholesterol lowering effects of aqueous extracts of cinnamon (AEC) have also been reported where it reduced fasting glucose levels (at 250 mg) from 1.14 mg/ml to 1.02 mg/ml in patients with impaired fasting glucose [59]; at a dose of 500 mg/kg for two months decreased glucose levels (p < 0.005) along with increasing in insulin sensitivity [60] and at 200 mg/kg reduced levels of LDL cholesterol, triglycerides and total cholesterol and increased levels of HDL-cholesterol in diabetic rats and hyper-lipidemic albino rabbits [61]. Further, decline in gastric acid secretion by 60% and reduction in gastric hemorrhagic lesions in rats was observed on pre-treatment with 250 mg/kg and 500 mg/kg of AEC [62].
Peterson et al., reported cinnamon as a potent anti-alzheimer agent as AEC inhibited tau aggregation (aggregation destabilizes microtubules causing Alzheimer’s disease) [63].
In addition, cinnamon possesses antimicrobial and anticancer activities. Ethanolic extracts of cinnamon exhibited anti-microbial properties against
Cinnamon is considered as a strong immunity booster. At a dosage of 10 mg/kg, it significantly increased serum immunoglobulin levels whereas at 100 mg/kg dosage, along with boosting humoral immunity, cinnamon increased antibody titer and phagocytic index too thereby increasing cell-mediated immunity [70]. Cinnamon reportedly exhibits immunomodulatory properties as well. Studies have suggested that cinnamon decreased fibrotic symptoms and pro-inflammatory cytokines on treatment with 4.5 ml/kg dose [71] and 0.8 g/kg dose for 12 weeks [72] respectively in colitis infected mice models. Suppression of pro-inflammatory cytokines such as TNF-a, IL-1b, and IL-6 along with inhibition of nitric oxide secretion were also observed in BV 2 microglial cells on treatment with 50 μg/ml of ethanolic cinnamon extract [73]. Further, cinnamon bark is capable of decreasing in IFN-γ levels, enhancing of IL2 secretion thereby inhibiting cell death [74]. Studies have also suggested that cinnamaldehyde inhibits PI3K, NF-B activation and PDK1 thereby regulating monocyte\\macrophage-mediated immune responses [74].
Recent bioinformatic analysis showed the possible effectiveness of molecules isolated from cinnamon against COVID-19 [75]. The ability to reduce pro-inflammatory cytokines and strong in silico investigation suggests the probable potential of cinnamon in fight against COVID-19.
Though cinnamon exhibits a wide range of health benefits, it is important to keep a check on the quantity of cinnamon consumed. A large amount can cause a dramatic drop in the blood sugar levels. In addition, high levels of cinnamon can cause rapid increase in heart rate, liver toxicity [76, 77].
Fennel (seeds of
Biological properties and chemical constituent of Fennel.
Fennel has been used for a long time for medicinal purposes (Figure 3) [80, 81]. It is a potent antioxidant agent. Essential oil of fennel seeds (FS) showed 45.05% DPPH radical scavenging activity along with 48.80–70.35% inhibition of peroxidation [81]. Ethanol and water extracts of FS (100 μg/ml) inhibited peroxidation in linoleic acid system by 77.5 and 99.1% respectively [82]. Parejo et al., isolated phenolic compounds from fennel viz. rosmarinic acid, kaempferol-3- O-glucoside, eriodictyol-7-Orutinoside, caffeoylquinic acid, quercetin-3-O-galactoside and observed decrease in absorbance of DPPH by 50% (IC50 in μg/mL = 1.17, 8.21, 24.78, 3.82, 7.52 respectively) [83].
Further, essential oil from fennel fruit showed inhibitory effects on growth of
Recent study reported that 300 μg/μl FS ethanolic extract inhibited Influenza virus H5N1 by 82.8% [89]. Moreover, Alazadeh et al., showed that oral administration of FS extract in capsular form ameliorated knee ostroarthritis [90]. In addition, methanol extract of FS showed significant anticancer potential against liver cancer cell line Hepg-2 (IC50 = 27.96 μg/mL) and breast cancer cell line MCF-7 (IC50 = 15.78 μg/mL) [80]. Özbek et al., 2003 studied hepatoprotective effects of fennel and observed that a dose of 0.4 ml/kg of fennel oil showed significant protective role against liver fibrosis (CCl4 induced) in rats [91].
It is safe to consume fennel and since it provides protection against flu, cough, it is advised to take fennel with warm milk.
Clove [
Chemical constituents and biological properties of Clove.
Traditionally used to prevent nausea, enhance blood circulation and liver function, clove is commonly applied for toothache relief and has been long known as a medicine for numerous ailments (Figure 4). Miyazawa & Hisama, isolated dehydrodieugenol and trans-coniferyl aldehyde from ethyl acetate extract of clove bud and observed significant activity of both, at a concentration of 0.6 μmol/mL and 1.2 μmol/ml respectively, against mutagens 4-nitroquinolin 1-oxide and N-methyl-N′-nitro-N-nitrosoguanidine [93]. Furthermore, eugenol and eugenol acetate extracted from aroma extract of clove buds inhibited 99% of hexanal oxidation [94].
Eugenol also exhibits remarkable antimicrobial, antiparasitic, antiviral activities. Essential oil of clove has reportedly inhibited growth of
Consumption of clove is safe, and it offers numerous benefits, however, studies have shown that clove oil increases clotting time [102] which might increases the risk of bleeding in case of bleeding disorders.
Cardamom [
(a) Chemical constituents of Cardamom; (b) Biological properties of Cardamom.
Cardamom is a valuable in relieving against ischemic heart disease. It showed protective effects against cardiac dysfunction associated with oxidative stress. A dose of 100 and 200 mg/kg of cardamom extract showed cardioprotective effects in albino rats who were induced with myocardial infarction due to isoproterenol [105]. Further, cardamom-oil maintained cholesterol homeostasis by potentially reducing cholesterol levels in hypercholesterolemic conditions and restoring atherogenicity index [106]. In addition, a dose of 1.5 g of cardamom powder for 12 weeks (two times a day) decreased the blood pressure in hypertensive individuals by 19 mmHg in systolic and 12 mmHg in diastolic BP [107].
Cardamom is an effective immunomodulatory agent due to its anti-inflammatory effects. It is capable of downregulating pro-inflammatory cytokines (Figure 5b) [108]; suppressing T helper (TH)1 cytokine release and enhancing T helper (TH)2 cytokine release [109]. Methanol and petroleum ether extract of cardamom reduced 70% and 50% lesions in ethanol-induced ulcer mice model at 500 mg/kg and 100 mg/kg respectively exhibiting gastroprotective effects [110]. A constituent of cardamom, cardamonin inhibited the formation of new cancer stem cells in case of breast cancer by effectively suppressing the up-regulation of IL-8 and, MCP-1 cytokines and activation of NF-κB pathway [111]. Antibacterial effects of cardamom has also been demonstrated [108, 112].
Recently, its efficacy against toxic effects of uranium has been reported. Uranium increases sodium and calcium ion levels, decreases and phosphate ion levels, inhibits Na+/K+ ATPase increasing the influx of into the neurons, and thereby damaging central nervous system. Aqueous extracts of cardamom (250 mg/kg) significantly increased the levels of phosphate and potassium ions and decreased the levels of calcium and sodium ions in albino rats administered with uranyl acetate dehydrate (40 mg/kg) [113]. Furthermore, protective effects against neurological disorders have also been reported as oral administration with 100 and 200 mg/kg of cardamom oil improved behavioral patterns, inhibited amyloid-β expression, declined in oxidative stress and inhibited of acetylcholinesterase in Wister rats [114, 115].
Out of the wide variety of species under genus
Biological properties and chemical constituent of Red Chili.
Capsaicin also exhibits anti-inflammatory properties [118]. It showed protective effects against gastric mucosal injury (ethanol-induced) in rats [119]. Capsaicin treatment ameliorated lipid peroxidation, inhibited myeloperoxidase activity in gastric lesions (ethanol induced) in rats [120].
Dried red chili powder (1% w/v) showed inhibitory effects against
Earlier studies suggested the risk of oral cavity [124] and stomach [125] cancer on consumption of red chili, however, recent reports suggested that consumption of red chili is safe and does not increase risks of cancer [126]. Numerous reports have suggested protective effects of capsaicin against cancer. Capsaicin showed inhibitory effects on the growth of human KB cancer cells by promoting apoptosis at a concentration of 200–250 μM [127]. Further, capsaicin led to the formation of reactive oxidative species through mitochondria (at a dose of 150 μM) causing loss in mitochondrial membrane potential in BxPC-3 and AsPC-1, human pancreatic cancer cell lines [128]; inhibited activation of NF-kB and AP-1, transcription factors responsible for cellular proliferation and malignant formation, in mice model [129]. In addition, capsaicin inhibited growth of MCF breast cancer cell lines by causing cell cycle arrest at S phase and induced poly(ADP-ribose) polymerase-1 (PARP-1) cleavage (apoptosis is marked by the cleavage of PARP-1) by activating caspase-7 which is involved in apoptosis (Figure 6) [130]. Capsaicin and cisplatin, in a synergistic manner, arrested the growth of SNU-668, human gastric cell line at G1/S phase [131].
Seeds of
Chemical constituents of Black Cumin.
Black cumin has been reported to exhibit anti-inflammatory properties. Intra-peritoneal injection black cumin essential oil reduced inhibited carrageenan-induced paw oedema in rats thereby relieving inflammation [133]. Aqueous extracts of black cumin up-regulated the secretion of T-helper 2 cells and suppressed the secretion of pro-inflammatory cytokines viz. IL-6, TNFα, and NO [109]. Furthermore, black El-Mahmoudy et al., isolated TQ from essential oil of black cumin seeds and showed that TQ reduced nitrite accumulation and decreased inducible nitric oxide synthase levels (responsible for NO production) in rat peritoneal macrophages suggesting anti-inflammatory and cytoprotective effects of black cumin [134]. Methanol extract of seeds of black cumin (1 mg/ml) protected erythrocytes against protein degradation and loss of deformability induced due to peroxide [135] and has proved to stimulate innate humoral immune responses [136]. Proteins purified from black cumin exhibit potent antioxidant activities [137]. Furthermore, neuroprotective effects of black cumin have also been reported [138].
In addition, black cumin exhibits anti-bacterial, anti-viral, anti-helminthic effects. Black cumin seed oil (BSO) showed protective effects against murine cytomegalovirus (MCMV) that targets liver and spleen. Treatment with BSO showed approximately 38% and 20% decrease in viral load in liver and spleen respectively in MCMV infected mice [139]. Decrease in the number of
Black cumin has protective effects against diabetes. Black cumin seeds (BCS) led to the decrease in elevated levels of glucose with increase in GSH levels and further inhibited liver damage induced by lipid peroxidation in diabetic rabbits [145]. In addition, improvement of glucose homeostasis in patients with type 2 diabetes on administration of black cumin (2 g/day for 3 months) with hypoglycemic drugs have also been reported [146].
Furthermore, aqueous extracts of black cumin significantly up-regulated cytotoxic activity of natural killer cells against YAC-1 tumor cells [109]. Oral administration of TQ at a dose of 0.01% suppressed benzo(a)pyrene induced forestomach tumor in mice by 70% [147] exhibiting anti-tumor effects.
Minor toxicological effects have also been reported, however, numerous studies demonstrated diverse therapeutic effects of black cumin and TQ and have supported its safe consumption [132].
Spices are rich source of bioactive components with innumerable beneficial attributes that have been verified and accepted by modern world in the past few decades. These are nowadays considered as a crucial & natural component of our daily diet. Consumption of spices aids in combating diseases when they are at their peak, for instance, best remedy for stomach infections are fennel seeds; turmeric is the tonic for fever-related diseases. Antimicrobial activities of spices make them valuable in hot climates as they prevent food spoilage. Although they lower the risk of various diseases such as diabetes, cancer, etc., there are some contradictions about their use. Despite all the pleiotropic effects offered by the spices, further evaluation about their mechanism of action is mandated to validate their clinical effects and their amount of consumption.
The authors declare no conflict of interest.
Classifying cancer lesions in form and intensity from the images is of interest in radiology units [1, 2, 3]. Currently, histology is the gold standard to define cancer type, stage, and grade; nevertheless, histology comes with its associated costs and delays and has been reported to increase morbidity [4, 5]. When diagnosing from the images, the desired classification is accurate and repeatable only if the operator includes the quantitative domain to the set of available tools that are mostly from the qualitative domain. The quantification is accomplished by separating the neo-mass from the anatomical parts in the image employing segmentation.
Regarding segmentation, authors have proposed assisting techniques that partially or fully accomplish the tasks with different levels of accuracy [6, 7, 8].
After segmentation, the challenge is finding a repeatable and performant method for all kinds of cancer manifestations. Some quantifying approaches target cancer in specific parts of the body [9, 10], while others focus on particular kinds of cancer [11, 12].
Although technology has invaded the medical facilities, currently assisting tools are not of help in diagnosing cancer. The tasks are still performed by human experts employing purely qualitative judgment. There is a need to quantify and thus abandon the uncertainty produced by human variability.
In practice, qualitative features suggested by X-rads [13, 14] such as roughness and stiffness are difficult to conceptualize with mathematical models; therefore, indexes based on these features are complicated to model [15]. However, the shape of the captured objects is a stable feature in the field of view [16, 17] and, conveniently, has the required sensibility across all cancer manifestations because it captures the core manifestations of the disease, the disordered growth pattern [18, 19]. More importantly, tumor shape is quantified in a feature-enriched scheme to favor further machine-learning implementation. In this document, we employ the FYC-Index of spiculation [20] to assert quantification on the edges of breast tumors imaged with tomosynthesis [21, 22]. The numbers yielded by the FYC-Index strategy are fed to an artificial intelligence classifier that initially differentiates between benign and malign neo-masses, showing a high degree of accuracy in supervised experiments. The presented strategy is equally performant in all imaging techniques that generate volumetric representations by slicing, including MRI, CT, and tomosynthesis.
A cohort of 48 breast tomosynthesis images underwent segmentation performed by an expert radiologist. Histology was performed on the 48 masses yielding 29 malignant cases and 19 benign. The resulting masks hold the specifications of the original images regarding the field of view and spatial resolution. Since the algorithm explained in Section 2.2 is immune to resolution changes and the field of view is standardized, records of the images’ specifications are not provided in this document.
The reader is invited to refer to Figure 1. Recall that the procedure explained below is used on both views, axial and sagittal.
The second derivative “p”— obtained with the second pass of Eq. (1)—is where peaks are detected. The peak elements on FAoD are exalted, while regions of low dynamics in the same array are diminished when raising FAoD to the fourth power.
Block diagrams for the FYC-Index pipeline.
Under the FYC-Index domain, while more spiculation, the histogram profiles are more populated in the right side.
Testing on extremes is a common practice in engineering. Unfortunately, finding extremes on clinical data is cumbersome. The difficulty relies on the nature of the information; in the clinics, where the patients are imaged on the presumption that some abnormality is present, the images often yield moderately spiculated masses, posing a problem overall for the lower extreme reference. Regarding the highly spiculated reference, one can use the histogram signature to pinpoint the slice yielding the most right-filling pattern. However, a sounded proof of concept should comply with the common complexity found in the clinics, where two masses can have similar volumes and have a different nature regarding malignancy; thus, conventional methods are unable to detect differences. To overcome this problem, we have created a synthetic framework where lower references are created by stacking the less spiculated slice among all the data analyzed. A mildly spiculated mass is created by stacking a mildly spiculated slice among the study, and, analogously, the extreme spiculated sample is created by stacking the most spiculated slice found in the study. For the three samples, the stacking is driven in a manner that the masses end by having a similar volume.
Every column in the histogram signature created by employing the procedure in Section 2.2 is seen as a feature in classification postulate that aims to distinguish between malign and benign samples. This is possible due to the independence of the peaks counting in a slice by slice fashion. In general, the perturbations on the slice
Every tumor population has a different span in the histogram signature; however, the amount of peak-counting-derived features have been set constant by forcing seven equally spaced bins regardless of the peak-counting range. Thus, the experiments always create an analyzing matrix containing 11 columns, 10 columns for the features, and 1 column to register the supervising factor provided by the histology. The current exercise presents a boolean support vector machine (SVM) classifier, where the machine is trained to provide a benign or malign verdict.
The data matrix is scaled and normalized using Python-Pandas [27, 28]. The classifier estimators are proved by cross correlation where the train and test samples are gathered from the original dataset using (
Listing 1: Python code use to run the SVM classifier while progressively adding features.
atregs = []
ascores = []
est = feature_selection.SelectKBest (k=i)
est . fit (mdata, lbls)
tregs = est . get_support (indices = True)
ndata = est . transform (mdata)
estsvm = svm . LinearSVC ()
gs = grid_search . GridSearchCV (estsvm, {’C’ : np . logspace (–4,3)})
tscore = np . mean (cross_validation . cross_val_score (gs, ndata, lbls, n_jobs=5))
As it is shown in Listing 1, the SVM classification is done after progressively adding features which are grabbed from the
Figure 2 shows how the algorithm yields two different outcomes based on the tortuosity of the two analyzed shapes. The small shape refers to a mostly rounded region of interest (ROI), therefore, does not present abrupt changes in the distances from the edging points to the center of FOV. In contrast, the same measure yields rapidly changing distances in the big ROI. Those rapidly changing distances are captured by the first derivate and framed in their inflection points by the second derivate. Later, those points are amplified and made all positive by the fourth power function, while the same fourth power function diminishes changes in which the derivate yielded values in the range (−1, 1). As the moving window adds up all values encountered in its domain, the regions of rapid change represented by large values compute to higher numbers within the domain of the moving window, and that is where the enhanced points appear in the plot. As all the points are mapped with their original coordinates, a crossing of 3D positions among the selected points in two image views filters out positions erroneously selected. Finally, the presented procedure allocates an item of frequency in a histogram where the bins contain ranges of point counting. Naturally, highly spiculated slices contribute mostly to the right bins of the histogram. When all slices in a tumor have been analyzed, the operator could be sure that the histogram is descriptive of the degree of homogeneity of the mass which is also associated with aggressiveness (see Figure 3).
FYC-Index extraction. The inner loop is the detailed block diagram similar to the one shown in
Histogram signature of the FYC-Index on two tumors and intermediate steps (b, c, d, g) of processing. The circles in frames in (c) and (g) correspond to perfectly rounded regions where the area is equal to the one of the mask.
A sample of the process where the 3D reconstruction of the masses together with the respective normalized FYC-Index histogram is presented in Figure 4.
A sample of the processed tumors and their FYC-Index signatures.
As explained in Section 2.3, extreme references are created to demonstrate the span of the method and the capacity to deliver a representation of easy interpretation. The synthetic creations are shown in Figure 5.
Performance of the FYC-Index in software-created references. On the right, a table with records of often used 3D geometrical indexes. Note that these indexes are not sensible within the characteristics that require to be quantified.
The results obtained on synthetic data corroborates that the FYC-Index is sensible to the changes in the edges that distinguish between malign and benign masses. In contrast, commonly used geometrical indexes are not sensitive to changes. In this exercise, we have isolated the spiculation by equalizing the volumes of the studied software objects. A complete set of 3D geometrical functions are applied on the clinical data in use, with the aim of comparing the performance of standard of care tools in the clinics, and the FYC-Index is shown in Figure 6.
The two boxes per colored column correspond to the clinical data detailed in Section 2.1. Normality was discarded by Kolmogorov test [
The fivefolding SVM exercise proposed in Section 2.4 was executed using a Python-Pandas dataframe and Scikit-Learn SVM. The results are registered in Table 1.
Folding | Accuracy (%) | Sensibility (%) | Specificity (%) |
---|---|---|---|
1 | 93.4 | 92.1 | 89.1 |
2 | 91.3 | 92.4 | 90.4 |
3 | 90.3 | 90.2 | 89.6 |
4 | 92.7 | 90.1 | 89.3 |
5 | 89.9 | 90.0 | 89.6 |
SVM-supervised classification.
Results for the fivefolding experiments on histograms acquired with the FYC-Index of spiculation.
The strong-force algorithm presented in Section 2.4 executed the supervised classification with a high degree of accuracy. The design of the experiments turns the classification into the capacity to differentiate whether a mass is benign or malign.
The proposed method is sensitive to slight changes in the edges of the masses that are characteristically malignant. The same method includes a stage of quantification that has proven to be descriptive at a simple glance even for nonspecialized operators. Since the procedure has been automated, it is compliant with the confidentiality regulations and, therefore, can be easily implemented in hospitals and clinics. The FYC-Index is a flexible method equally performant when analyzing masses in individuals and populations. The method presents a signature which results in a measure of lobularity. This strategy works regardless of factors such as size and spatial resolution. Moreover, the results are direct and easy to interpret. The specifications of the FYC-Index make it suitable to analyze all sort of cancer manifestations, regardless of localization or pathogenic roots. The presented strategy uses a machine-learning classifier to rapidly characterize the malignancy of a mass. However, the real challenge consists of defining malignancy together with aggressiveness. Such an approach requires more rounds of training/testing sessions with sufficient samples in all grading range. This multilevel classification should be designed to follow the classification directives presented in the X-RADS standards; thus, the existing automatic tools can also provide insights for selecting more accurate treatments. To the best of our knowledge, no other authors are integrating the tools as we have proposed. The use of the features we have proposed is a novel view of the solution; therefore, we do not include in this report a comparison with other methods.
Cancer is the second most threating disease which humanity has not been able to neutralize. Other diseases that were considered pandemics in the past, costing millions of human lives, have been eradicated through vaccination. Rapidly mutating diseases such as AIDS have been downgraded from mortal to chronic. Maladies like high blood pressure, stroke, or cirrhosis among several other chronic afflictions have been associated with race, genetics, habits, or exposition factors, providing a way to reduce the probability of acquiring them or a path of development where scientists still have space to explore. Cancer instead affects all humans regardless of any factor. The only aspect that increases the surviving expectations, without a doubt, is early detection, and it is here where the method presented in this manuscript gains relevance. Detection from the images is possible, and automatic diagnosis not only avoids the painful and uncomfortable biopsy, but it also contributes to faster and more accurate verdicts.
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Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:null,institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda",middleName:"R.",surname:"Gharieb",fullName:"Reda Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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Valarmathi",profilePictureURL:"https://mts.intechopen.com/storage/users/69697/images/system/69697.jpg",institutionString:"Religen Inc. | A Life Science Company, United States of America",institution:null},{id:"205081",title:"Dr.",name:"Marco",middleName:"Vinícius",surname:"Chaud",fullName:"Marco Chaud",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSDGeQAO/Profile_Picture_1622624307737",institutionString:null,institution:{name:"Universidade de Sorocaba",institutionURL:null,country:{name:"Brazil"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"profile.detail",path:"/profiles/342729",hash:"",query:{},params:{id:"342729"},fullPath:"/profiles/342729",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()