Open access

Introductory Chapter: Dermatoscopy

Written By

Paweł Pietkiewicz

Published: 23 March 2022

DOI: 10.5772/intechopen.102974

From the Edited Volume

Dermatoscopy

Edited by Paweł Pietkiewicz

Chapter metrics overview

148 Chapter Downloads

View Full Metrics

1. Introduction

Although dermatoscopy was born as epiluminiscence microscopy many decades ago, it still develops, and hundreds of new papers are being published each year in scientific journals on new discoveries, significance of particular structures, and new applications. Dermatoscopy is no longer just a skin cancer screening technique, but can be employed to a wide variety of non-neoplastic conditions: trichoscopy for the diseases of hair and scalp, inflammoscopy for inflammatory skin diseases, mucoscopy for mucous membranes, onychoscopy for the diseases of nail apparatus, infectoscopy for identification of inflammatory diseases, endomodermatoscopy for skin parasitoses, and even dentoscopy for examining the teeth [1, 2, 3]. The systematization of the terminology in dermatoscopy and inflammoscopy terminology made the method more accessible for the beginners [4, 5].

Advertisement

2. The scope of dermatoscope

We are living in the era of Internet, smartphones, and artificial intelligence (AI)-driven networks that shape our practices and everyday environment to make it seemingly more convenient and remote, and COVID pandemic accelerated this process even more. In this chase, we are gradually losing the direct contact with our patients, which might lead to delayed or imprecise diagnosis of skin conditions. While taking advantage of what the modern technology provides us with, we should keep in mind that the simplest and direct examination, including taking medical history, visual inspection, and palpation, should still remain a gold standard. Dermatoscope is fast to apply and inexpensive auxiliary tool that complements physical examination and gives a better insight into the true nature of the inspected lesion. Nowadays, in many situations, dermatoscopists are able to diagnose certain diseases or predict a number of details commonly provided in pathology reports without actually taking a biopsy. Dermatoscopes proved to be useful in multispecialty settings. These can be used by dermatologists, oncologists, surgeons, general practitioners, radiotherapists, urologists, hematologists, pathologists, and many more. Being able to identify dermatoscopic structures can be the first step into pattern analysis and learning dermatoscopy-pathology correlations [6, 7, 8]. Currently, it is possible to assess tumor margins better than with a naked eye, which lowers the costs of treatment and lowers the risk of recurrence after radiotherapy and skin surgery, especially in Mohs micrographic surgery [9, 10, 11, 12, 13, 14]. Particular structures, such as pigmented clods, or vascular clues, can be predictors of more invasive basal and squamous cell carcinomas (BCC, SCC) [15, 16, 17, 18, 19, 20]. Consequently, it has an impact on planning the management (namely choosing between the surgery, topical treatment, radiotherapy, or photodynamic therapy) or monitoring its efficacy [21, 22, 23, 24]. Dermatoscopy always provides meaningful information. It may either confirm or rule out initial clinical diagnosis or point out to the other diagnosis that was not considered initially, especially inflammatory skin diseases. Even if the lesion turns out to be mysterious to the eye of dermatoscopist, dermatoscopy may exclude some of the diagnoses and lead to change in the diagnostic plan and management, influencing the decisive process (e.g., rapid biopsy)and saving the patient from the consequences of diagnostic pitfall, unnecessary expenses for non-optimal therapy and its side effects, lost time till the final diagnosis, unnecessary stress and suffering, and in some cases, also patient’s life/health from disease progression.

When combined with a device to capture images (smartphone, single-lens reflex camera, compact camera, or more convenient professional video dermatoscope) it proves to give additional info on already excised lesions. With a digitized image, physician is able to verify his initial diagnosis and reconsult the slides with the pathologist in order to avoid medical errors if the initial diagnosis does not match the report. It enables the identification of cases of mismatched specimens, misdiagnosis, or invalid tumor subtype. Also, based on the significance of the spectrum of colors seen in dermatoscopy, it is possible to detect underestimated Breslow thickness, as gray and blue colors mark the distribution of melanin in papillary and reticular dermis [25]. This process of confronting certain digitized features with the pathology can be called retroscopy, which is also a useful method to learn the morphology-histology correlations. Digital dermatoscopy or monitoroscopy can also be used for monitoring inflammatory skin diseases, predicting the therapeutic outcomes and resistance/susceptibility to certain therapies [26, 27]. AI is being increasingly implemented in all areas of healthcare. AI-assisted wide area digital dermatoscopy is a method enabling to combine multiple separate dermatoscopic images of the same large skin lesion into one map to enable precise assessment of structures and delineation [28, 29, 30]. Assessing the borders in melanoma is crucial for radical excision. In some lesions, this border is vague, but dermatoscopy with wavelengths close to ultraviolet light is able to enhance this process [31]. Another computer-assisted add-on to dermatoscopy and inflammoscopy is skin parameter map obtained with multispectral dermatoscopy [32, 33, 34]. Pattern recognition algorithms may have a particularly important role in the future development of digital dermatoscopy, supporting the diagnostic process and assisting the management, especially for non-experts [35]. This applies not only to AI-assisted assessment of dermatoscopic images but also photographs obtained with total body photography (TBP) [36, 37, 38, 39, 40]. Combining sequential TBP with the sequential digital dermatoscopy imaging increases the accuracy of detection of smaller, less invasive melanomas but also reduces the number of unnecessary surgical procedures [41]. As handheld dermatoscopy is cost-effective, easy to apply and learn, it is this diagnostic technique that should serve as a basic auxiliary device in skin cancer screening.

References

  1. 1. Micali G, Lacarrubba F. The expanding use of dermatoscopy. Dermatologic Clinics. 2018;36(4):xv
  2. 2. Verzì AE, Lacarrubba F, Dinotta F, Micali G. Dermatoscopy of parasitic and infectious disorders. Dermatologic Clinics. 2018;36(4):349-358
  3. 3. Jha A, Pathak J, Sonthalia S, Keshavmurthy V. Use of polarized dermoscopy in the evaluation of congenital erythropoietic porphyria. Clinical and Experimental Dermatology. 2021;46(3):556-557
  4. 4. Kittler H, Marghoob AA, Argenziano G, Carrera C, Curiel-Lewandrowski C, Hofmann-Wellenhof R, et al. Standardization of terminology in dermoscopy/dermatoscopy: Results of the third consensus conference of the International Society of Dermoscopy. Journal of the American Academy of Dermatology. 2016;74(6):1093-1106
  5. 5. Errichetti E, Zalaudek I, Kittler H, Apalla Z, Argenziano G, Bakos R, et al. Standardization of dermoscopic terminology and basic dermoscopic parameters to evaluate in general dermatology (non-neoplastic dermatoses): An expert consensus on behalf of the international Dermoscopy society. The British Journal of Dermatology. 2020;182(2):454-467
  6. 6. Russo T, Piccolo V, Ferrara G, Agozzino M, Alfano R, Longo C, et al. Dermoscopy pathology correlation in melanoma. The Journal of Dermatology. 2017;44(5):507-514
  7. 7. Yélamos O, Braun RP, Liopyris K, Wolner ZJ, Kerl K, Gerami P, et al. Dermoscopy and dermatopathology correlates of cutaneous neoplasms. Journal of the American Academy of Dermatology. 2019;80(2):341-363
  8. 8. Kasuya A, Aoshima M, Fukuchi K, Shimauchi T, Fujiyama T, Tokura Y. An intuitive explanation of dermoscopic structures by digitally reconstructed pathological horizontal top-down view images. Scientific Reports. 2019;9:19875
  9. 9. Suzuki HS, Serafini SZ, Sato MS. Utility of dermoscopy for demarcation of surgical margins in Mohs micrographic surgery. Anais Brasileiros de Dermatologia. 2014;89(1):38-43
  10. 10. Ballester Sánchez R, Pons Llanas O, Pérez Calatayud J, Botella ER. Dermoscopy margin delineation in radiotherapy planning for superficial or nodular basal cell carcinoma. The British Journal of Dermatology. 2015;172(4):1162-1163
  11. 11. Shin K, Kim H-J, Ko H-C, Kim B-S, Kim M-B, Kim H-S. Dermoscopy-guided Mohs micrographic surgery in post-laser basal cell carcinomas: Is dermoscopy helpful for demarcation of the surgical margin? Journal of Dermatological Treatment. 2022;33(1):433-436
  12. 12. Litaiem N, Karray M, Jones M, Rammeh S, Zeglaoui F. Effectiveness of dermoscopy in the demarcation of surgical margins in slow Mohs surgery. Dermatologic Therapy. 2020;33(6):e14196
  13. 13. Carducci M, Bozzetti M, De Marco G, Foscolo AM, Betti R. Usefulness of margin detection by digital dermoscopy in the traditional surgical excision of basal cell carcinomas of the head and neck including infiltrative/morpheaform type. The Journal of Dermatology. 2012;39(4):326-330
  14. 14. Carducci M, Bozzetti M, Foscolo AM, Betti R. Margin detection using digital dermatoscopy improves the performance of traditional surgical excision of basal cell carcinomas of the head and neck. Dermatologic Surgery. 2011;37(2):280-285
  15. 15. Apalla Z, Lallas A, Tzellos T, Sidiropoulos T, Lefaki I, Trakatelli M, et al. Applicability of dermoscopy for evaluation of patients’ response to nonablative therapies for the treatment of superficial basal cell carcinoma. The British Journal of Dermatology. 2014;170(4):809-815
  16. 16. Lallas A, Argenziano G, Kyrgidis A, Apalla Z, Moscarella E, Longo C, et al. Dermoscopy uncovers clinically undetectable pigmentation in basal cell carcinoma. The British Journal of Dermatology. 2014;170(1):192-195
  17. 17. Ayhan E, Ucmak D, Akkurt Z. Vascular structures in dermoscopy. Anais Brasileiros de Dermatologia. 2015;90(4):545-553
  18. 18. Urech M, Kyrgidis A, Argenziano G, Reggiani C, Moscarella E, Longo C, et al. Dermoscopic ulceration is a predictor of basal cell carcinoma response to Imiquimod: A retrospective study. Acta Dermato-Venereologica. 2017;97(1):117-119
  19. 19. Kato J, Horimoto K, Sato S, Minowa T, Uhara H. Dermoscopy of melanoma and non-melanoma skin cancers. Frontiers in Medicine. 2019;6:180. DOI: 10.3389/fmed.2019.00180
  20. 20. Álvarez-Salafranca M, Ara M, Zaballos P. Dermoscopy in basal cell carcinoma: An updated review. Actas Dermo-Sifiliográficas Engl Ed. 2021;112(4):330-338
  21. 21. Husein-ElAhmed H, Fernandez-Pugnaire MA. Dermatoscopy-guided therapy of pigmented basal cell carcinoma with imiquimod. Anais Brasileiros de Dermatologia. 2016;91(6):764-769
  22. 22. Mainetti C, Guillod C, Leoni-Parvex S. Successful treatment of relapsing Bowen’s disease with Ingenol Mebutate: The use of Dermoscopy to monitor the therapeutic response. Dermatol Basel Switz. 2016;232(Suppl. 1):9-13
  23. 23. Diluvio L, Bavetta M, Di Prete M, Orlandi A, Bianchi L, Campione E. Dermoscopic monitoring of efficacy of ingenol mebutate in the treatment of pigmented and non-pigmented basal cell carcinomas. Dermatologic Therapy. 2017;30(1):e12438
  24. 24. Krzysztofiak T, Kamińska-Winciorek G, Tukiendorf A, Suchorzepka M, Wojcieszek P. Basal cell carcinoma treated with high dose rate (HDR) brachytherapy-early evaluation of clinical and Dermoscopic patterns during irradiation. Cancers. 2021;13(20):5188
  25. 25. Colors—Dermoscopedia. Dermoscopedia.org. 2022. Available from: https://dermoscopedia.org/Colors
  26. 26. Vos MHE, Nguyen KP, Van Erp PEJ, Van de Kerkhof PCM, Driessen RJB, Peppelman M. The value of (video)dermoscopy in the diagnosis and monitoring of common inflammatory skin diseases: A systematic review. European Journal of Dermatology. 2018;28(5):575-596
  27. 27. Errichetti E. Dermoscopy in monitoring and predicting therapeutic response in general dermatology (non-Tumoral dermatoses): An up-to-date overview. Dermatologic Therapy. 2020;10(6):1199-1214
  28. 28. Dellatorre G, Gadens GA. Wide area digital dermoscopy. Journal of the American Academy of Dermatology. 2019;80(6):e153
  29. 29. Dellatorre G, Gadens GA. Wide area digital dermoscopy applied to basal cell carcinoma. Anais Brasileiros de Dermatologia. 2020;95(3):379-382
  30. 30. Gadens GA, Dellatorre G. Wide area digital Dermoscopy for congenital melanocytic nevi: Report of 3 cases. Dermatology Practical & Conceptual. 2020;10(1):e2020023
  31. 31. Sano T, Minagawa A, Suzuki R, Koga H, Okuyama R. Dermoscopy with near-ultraviolet light highlights the demarcation of melanin distribution in cutaneous melanoma. Journal of the American Academy of Dermatology. 2021;84(1):e23-e24
  32. 32. Janssen L, Mylle S, Van Kelst S, De Smedt J, Diricx B, Kimpe T, et al. Enhanced visualization of blood and pigment in multispectral skin dermoscopy. Skin Research and Technology. 2020;26(5):708-712
  33. 33. Kaliyadan F, Jayasree P, Kuruvilla J, Errichetti E, Lallas A. The use of blue light, multispectral dermoscopy in vitiligo: A pilot study. Skin Research and Technology. 2020;26(4):612-614
  34. 34. Nirmal B. Utility of blue light in Dermoscopy for diagnosing stable lesions in vitiligo. Dermatology Practical & Conceptual. 2021;11(1):e2021141
  35. 35. Das K, Cockerell CJ, Patil A, Pietkiewicz P, Giulini M, Grabbe S, et al. Machine learning and its application in skin Cancer. International Journal of Environmental Research and Public Health. 2021;18(24):13409
  36. 36. Korotkov K, Quintana J, Puig S, Malvehy J, Garcia R. A new total body scanning system for automatic change detection in multiple pigmented skin lesions. IEEE Transactions on Medical Imaging. 2015;34(1):317-338
  37. 37. Tschandl P. Sequential digital dermatoscopic imaging of patients with multiple atypical nevi. Dermatology Practical & Conceptual. 2018;8(3):231-237
  38. 38. Hornung A, Steeb T, Wessely A, Brinker TJ, Breakell T, Erdmann M, et al. The value of Total body photography for the early detection of melanoma: A systematic review. International Journal of Environmental Research and Public Health. 2021;18(4):1726
  39. 39. Strzelecki MH, Strąkowska M, Kozłowski M, Urbańczyk T, Wielowieyska-Szybińska D, Kociołek M. Skin lesion detection algorithms in whole body images. Sensors. 2021;21(19):6639
  40. 40. Grochulska K, Betz-Stablein B, Rutjes C, Chiu FP-C, Menzies SW, Soyer HP, et al. The additive value of 3D Total body imaging for sequential monitoring of skin lesions: A case series. Dermatol Basel Switz. 2022;238(1):12-17
  41. 41. Deinlein T, Michor C, Hofmann-Wellenhof R, Schmid-Zalaudek K, Fink-Puches R. The importance of total-body photography and sequential digital dermatoscopy for monitoring patients at increased melanoma risk. Journal der Deutschen Dermatologischen Gesellschaft. 2020;18(7):692-697

Written By

Paweł Pietkiewicz

Published: 23 March 2022