Authors
Epishkina A. A.
Postgraduate, Chair for Pathological Anatomy1
Zaletina A. V.
Student, Faculty of Pediatrics1
Chilipenok A. S.
Student, Faculty of Pediatrics1
Martusevich A. K.
Doctor of Biology, Head, Laboratory for Medical Biophysics1
1 - Privolzhsky Research Medical University, Nizhny Novgorod, Russia
Corresponding Author
Martusevich Andrew; e-mail: cryst-mart@yandex.ru
Conflict of interest
None declared.
Funding
The study had no sponsorship.
Abstract
Currently, the prevalence and detection of melanoma, as well as other forms of cancer, tends to increase. Due to the intensity of the disease, malignant skin tumors have an unfavorable treatment prognosis and cause an increasing number of deaths. This necessitates the development and implementation of new diagnostic methods. In this regard, the purpose of this review is to systematize ideas about the instrumental diagnosis of melanoma. Currently, there are quite a few methods of melanoma verification, but most of them are morphological and/or based on the use of expensive unique equipment. This minimizes the prospects of their use as a screening technology. The solution of this problem may be a new diagnostic method based on near-field resonance microwave sensing of the skin, which demonstrated high diagnostic informativity, together with the speed of the study and the mobility of the complex.
Key words
melanoma, diagnostics, instrumental examination, near-field resonance microwave sensing
DOI
References
1. Trommel L., Devleesschauwer B., Beutels P. et al. Selective Use of Sequential Digital Dermoscopy Imaging Allows a Cost Reduction in the Melanoma Detection Process: A Belgian Study of Patients with a Single or a Small Number of Atypical Nevi. Sequential Digital Dermoscopy Imaging Lowers Melanoma Detection Costs. 2014; 9 (10): e109339.
2. Sokolov D.V., Mahson A.N., Demidov L.V. et al. Dermatoskopiya (ehlpilyuminiscentnaya poverhnostnaya mikroskopiya): in vivo diagnostika melanomy kozhi (obzor literatury). [Dermatoscopy (Epiluminescent surface microscopy): in vivo diagnistics of skin melanoma. Review]. Sibirskij onkologicheskij zhurnal [Siberian Oncology Journal] 2008; (5): 63-67. (In Russ.)
3. Rigel D.S., Russak J., Friedman R. The Evolution of Melanoma Diagnosis: 25 Years Beyond the ABCDs. A Cancer Journal for Clinicians 2010; 60 (5): 301-316.
4. Gallegos-Hernández J.F., Ortiz-Maldonado A.L., Minauro-Munoz G.G. et al. Dermoscopy in cutaneous melanoma. Cirugía y Cirujanos. 2015; 83 (2): 107-111.
5. Carrera C., Marchetti M.A., Dusza S.W. et al. Validity and Reliability of Dermoscopic Criteria Used to Differentiate Nevi from Melanoma. JAMA Dermatol. 2016; 152 (7): 798-806.
6. Ahnlide I., Bjellerup M., Nilsson F., Nielsen K. Validity of ABCD Rule of Dermoscopy in Clinical Practice. Acta Dermatol. Venereol. 2016; 96: 367-362.
7. Carrera C., Segura S., Aguilera P. et al. Dermoscopic Clues for Diagnosing Melanomas That Resemble Seborrheic Keratosis. JAMA Dermatol. 2017; 153 (6): 544-551.
8. Herschorn A. Dermoscopy for melanoma detection in family practice. Canadian Family Physician 2012; 58: 740-745.
9. Traczyk E.R. Innovations and Developments in Dermatologic Non-invasive Optical Imaging and Potential Clinical Applications. Acta Dermatol. Venereol. 2017; 97: 5-13.
10. Pagliarello C., Stanganelli I., Fabrizi G. et al. Digital Dermoscopy Monitoring: Is it Time to Define a Quality Standard? Acta Dermatol. Venereol. 2017; 97: 864-865.
11. Herman C. Emerging technologies for the detection of melanoma: achieving better outcomes. Clinical, Cosmetic and Investigational Dermatology. 2012; 5: 195-212.
12. Russo T., Piccolo V., Lallas A. Dermoscopy of Malignant Skin Tumours: What’s New? Dermatology 2017; 233: 64-73.
13. Kraus S.L., Haenssle H.A. Early detection of cutaneous melanoma by sequential digital dermatoscopy (SDD). Journal of the German society of dermatology 2013: 509-512.
14. Moscarella E., Tion I., Zalaudek I. et al. Both short‐term and long‐term dermoscopy monitoring is useful in detecting melanoma in patients with multiple atypical nevi. J. Eur. Acad. Dermatol. Venereol. 2017; 31 (2): 247-252.
15. Rinner C., Tschandl P., Sinz C. Long‐term evaluation of the efficacy of digital dermatoscopy monitoring at a tertiary referral center. Journal of the German society of dermatology 2017; 15 (5): 517-522.
16. Gabriel Salerni, Cristina Carrera, Louise Lovatto, et al. Benefits of total body photography and digital dermoscopy («two-step method of digital follow-up») in the early diagnosis of melanoma in high-risk patients. J. Am. Acad. Dermatol. 2013. 67 (1): e17-27.
17. Thomas L., Pui S. Dermoscopy, Digital Dermoscopy and Other Diagnostic Tools in the Early Detection of Melanoma and Follow-up of High-risk Skin Cancer Patients. Acta Dermatol. Venereol. 2017; 218 (Suppl): 14-21.
18. Vishnevskaya Ya.V., Stroganova A.M., Senderov A.I. et al. Sovremennaya gistologicheskaya, immunogistohimicheskaya i molekulyarno-geneticheskaya diagnostika melanomy kozhi [Modern histological, imuumohistochemical and molecular diagnostics of skin melanoma]. Sibirskij onkologicheskij zhurnal [Siberian Oncology Journal] 2012; 4: 74-75. (in Russ.)
19. Sinel'nikov I.E., Baryshnikov K.A.; Demidov L.V. Klinicheskaya diagnostika melanomy kozhi [Clinical diagnostics of skin melanoma]. Vestnik RONC im. N.N. Blohina [Bulletin of ROSC] 2017; 28 (1–2): 68-73. (in Russ.)
20. Demidov L.V., Sinel'nikov I.E., Nazarova V.V. et al. Rannyaya diagnostika melanomy kozhi: znachenie i vozmozhnosti primeneniya dermatoskopii v klinicheskoj praktike onkologa [Early diagnostics of skin melanoma: importance and possibilities in oncological practice]. Rossijskij onkologicheskij zhurnal [Russian Oncology Journal] 2013; 5: 5-11. (in Russ.)
21. Pellacani G., De Pace B., Reggiani C. et al. Distinct melanoma types based on reflectance confocal microscopy. Experimental dermatology. 2014; 23 (6): 414-418.
22. Shlyahtunov E.A., Gidranovich A.V., Lud N.G. et al. Rak kozhi: sovremennoe sostoyanie problemy [Skin cancer: current state of the problem]. Vestnik Vitebskogo gosudarstvennogo medicinskogo universiteta [Bulletin of Vitebsk state medical university] 2014; 13 (3): 20-28. (in Russ.)
23. Zaharov V.P., Kozlov S.V., Moryatov A.A. s soavt. Opticheskie metody dlya diagnostiki melanomy kozhi [Optic methods for diagnostics of skin melanoma]. Izvestiya Samarskogo nauchnogo centra Rossijskoj akademii nauk [News of Samara scientific center of RAS]. 2013; 15 (4): 120-124. (in Russ.)
24. Jain M., Marghoob A.A. Integrating clinical, dermoscopy, and reflectance confocal microscopy findings into correctly identifying a nevoid melanoma. JAAD case reports 2017; 3 (6): 505-508.
25. Ahlgrimm-Siess V., Laimer M., Rabinovitz H.S. Confocal Microscopy in Skin Cancer. Current Dermatology Reports 2018; (7): 105-118.
26. Klyushkin I.V., Klyushkina Yu.A. Vozmozhnosti sonografii v diagnostike kozhnyh novoobrazovanij [Possibilities of sonography in diagnostics of skin neoplasias]. Vestnik sovremennoj klinicheskoj mediciny [Bulletin of modern clinical medicine] 2014; 7 (4): 26-29. (in Russ.)
27. Czarnecka A., Czarnecki R., Witkiewicz W. et al. Importance of sonography of the skin and subcutaneous tissue in the early diagnosis of melanoma in-transit metastasis with the presentation of two cases. Postepy Dermatol. Alergol. 2018; 35(2): 204-207.
28. Maksimova N.A., Pozdnyakova V.V., Kuryshova M.I. et al. Ul'trazvukovaya diagnostika melanocitarnyh obrazovanij kozhi [Ultrasound diagnostics of skin melanocyte structures]. Sovremennye problemy nauki i obrazovaniya [Modern problems of science and education] 2015; (3): 182. (in Russ.)
29. Makarenko L.A. Neinvazivnaya diagnostika v dermatologii [Non-invasive diagnostics in dermatology]. Rossijskij zhurnal kozhnyh i venericheskih boleznej [Russian Journal of Skin and Venereal Diseases] 2013; (2): 40-45. (in Russ.)
30. Ulrich J., van Akkooi A.J., Eggermont A.M., Voit C. New developments in melanoma: utility of ultrasound imaging (initial staging, follow-up and pre-SLNB). Expert Rev Anticancer Ther. 2011; 11 (11): 1693-701.
31. Ghassemi F., Mirshahi R., Fadakar K., Sabour S. Optical coherence tomography angiography in choroidal melanoma and nevus. Clinical Ophthalmology 2018; (12): 207-214.
32. Gambichler T., Pljakic A., Schmitz L. Recent advances in clinical application of optical coherence tomography of human skin. Clinical, Cosmetic and Investigational Dermatology 2015; (8): 345-354.
33. Lindsø Andersen P., Olsen J., Friis K.B.E. et al. Vascular morphology in normal skin studied with dynamic optical coherence tomography. Experimental dermatology. 2018; 7 (11): 1280-1286.
34. Ulrich M., Themstrup L., de Carvalho N. et al. Dynamic Optical Coherence Tomography in Dermatology. Dermatology 2016; 232: 298-311.
35. Levin A., Wang K., Markowitz O. et al. Optical Coherence Tomography in the Diagnosis of Skin Cancer. Dermatologic Clinics 2017; 35 (4): 465-488.
36. Albert A.G. Coons: harnessing the power of the antibody. Lancet Respir Med. 2016; 4 (3): 181-182.
37. Hofman F.M., Taylor C.R. Immunohistochemistry. Curr. Protoc. Immunol. 2013; 103: Unit 21.4.
38. Lilyquist J., Meyer White K.A., Lee R.J., Philips G.K., Hughes C.R., Torres S.M. Quantitative Analysis of Immunohistochemistry in Melanoma Tumors. Medicine (Baltimore). 2017; 96 (15): e6432.
39. Ramos-Vara J.A. Principles and methods of immunohistochemistry. Methods Mol. Biol. 2011; 691: 83-96.
40. Massi D., Simi L., Sensi E., Baroni G. at al. Immunohistochemistry is highly sensitive and specific for the detection of NRASQ61R mutation in melanoma. Modern Pathology 2015; 28: 487-497.
41. Schirosi L., Strippoli S., Gaudio F., Graziano G., Popescu O., Guida M., Simone G., Mangia A. Is immunohistochemistry of BRAF V600E useful as a screening tool and during progression disease of melanoma patients? BMC Cancer. 2016; 16: 905.
42. Uguen A., Talagas M., Costa S. et al. A p16-Ki-67-HMB45 immunohistochemistry scoring system as an ancillary diagnostic tool in the diagnosis of melanoma. Diagn. Pathol. 2015; 10: 195.
43. Bruno W., Martinuzzi C., Andreotti V. at al. Heterogeneity and frequency of BRAF mutations in primary melanoma: Comparison between molecular methods and immunohistochemistry. Oncotarget 2017; 8 (5): 8069-8082.
44. Harlé A., Salleron J., Franczak C. et al. Detection of BRAF Mutations Using a Fully Automated Platform and Comparison with High Resolution Melting, Real-Time Allele Specific Amplification, Immunohistochemistry and Next Generation Sequencing Assays, for Patients with Metastatic Melanoma. PLoS One. 2016; 11 (4): e0153576.
45. Salamova I.V., Moskaleva O.L., Flaks G.A., Mordovceva V.V. Rol' immunogistohimii v differencial'noj diagnostike novoobrazovanij kozhi melanocitarnogo geneza [Role of immunohitsochemistry in differential diagnostics of skin melanocyte neoplasias]. Immunopatologiya, allergologiya, infektologiya [Immunity pathology, allergology and infectology] 2015; (1): 77-83. (in Russ.)
46. Kolialexi A., Tsangaris G.T., Kitsiou S., Kanavakis E., Mavrou A. Impact of cytogenetic and molecular cytogenetic studies on hematologic malignancies. Chang Gung Med J. 2012; 35 (2): 96-110.
47. DeMarchis E.H., Swetter S.M., Jennings C.D., Kim J. Fluorescence In Situ Hybridization Analysis of Atypical Melanocytic Proliferations and Melanoma in Young Patients. Pediatr. Dermatol. 2014; 31 (5): 561-569.
48. Wang L., Rao M., Fang Y. et A Genome-Wide High-Resolution Array-CGH Analysis of Cutaneous Melanoma and Comparison of Array-CGH to FISH in Diagnostic Evaluation. The Journal of Molecular Diagnostic 2013; 15 (5): 581-592.
49. Minca E.C., Al-Rohil R.N., Wang M. at al. Comparison between melanoma gene expression score and fluorescence in situ hybridization for the classification of melanocytic lesions. Modern Pathology 2016; 29: 832-843.
50. Uguen A., Uguen M., Talagas M. et al. Fluorescence in situ hybridization testing of chromosomes 6, 8, 9 and 11 in melanocytic tumors is difficult to automate and reveals tumor heterogeneity in melanomas. Oncol Lett. 2016; 12 (4): 2734-2741.
51. Bodanese B., Silveira F.L., Zângaro R.A. et al. Discrimination of Basal Cell Carcinoma and Melanoma from Normal Skin Biopsies in Vitro Through Raman Spectroscopy and Principal Component Analysis. Photomed. Laser Surg. 2012; 30 (7): 381-387.
52. Brauchle E., Noor S., Holtorf E., Garbe C., Schenke-Layland K., Busch C. Raman spectroscopy as an analytical tool for melanoma research. Clin. Exp. Dermatol. 2014; 39 (5): 636-645.
53. Lui H., Zhao J., McLean D., Zeng H. Real-time Raman Spectroscopy for In Vivo Skin Cancer Diagnosis. Cancer research 2012; 72 (10).
54. Richters R.J.H., Falcone D., Uzunbajakava N.E. et al. Sensitive Skin: Assessment of the Skin Barrier Using Confocal Raman Microspectroscopy. Skin Pharmacol. Physiol. 2017; 30 (1): 1-12.
55. Kourkoumelis N., Balatsoukas I., Moulia V. Advances in the in Vivo Raman Spectroscopy of Malignant Skin Tumors Using Portable Instrumentation. Int. J. Mol. Sci. 2015; 16 (7): 14554-14570.
56. de Oliveira A.F., de Abranches Oliveira Santos I.D., Cartaxo S.B. et al. Differential diagnosis in primary and metastatic cutaneous melanoma by FT-Raman spectroscopy. Acta Cir. Bras. 2010; 25 (5): 434-9.
57. Bogomolova E.B., Martusevich A.K., Klemenova I.A., YAnin D.V., Galka A.G. Primenenie sovremennyh metodov vizualizacii v ocenke sostoyaniya i prognozirovanii razvitiya patologicheskih rubcov [The use of modern methods of visualization in estimation and prognosis of generation of pathological scars]. Medicina [Medicine] 2017; (3): 58-75. (in Russ.)
58. Martusevich A.K., Yanin D.V., Bogomolova E.B., Galka A.G., Klemenova I.A., Kostrov A.V. Vozmozhnosti i perspektivy primeneniya SVCH-tomografii v ocenke sostoyaniya kozhi [The possibilities and perspectives of the use of microwave tomography in skin state estimation]. Biomedicinskaya radioehlektronika [Biomedical radioelectronics] 2017; (12): 3-12. (in Russ.)