biophBiomedical PhotonicsBiomedical Photonics2413-9432Non-profit partnership for development of domestic photodynamic therapy and photodiagnosis10.24931/2413-9432-2023-12-4-4-14bioph-620Research ArticleОРИГИНАЛЬНЫЕ СТАТЬИORIGINAL ARTICLESСовременные технологии диагностики в онкодерматологииModern diagnostic technologies in oncodermatologyФилоненкоЕ. В.FilonenkoE. V.

Москва

Moscow

elena.filonenko@list.ruКапринА. Д.KaprinA. D.

Москва

Moscow

«Московский научно-исследовательский онкологический институт им. П.А. Герцена – филиал ФГБУ «Национальный медицинский исследовательский центр радиологии» Министерства здравоохранения Российской ФедерацииРоссияP.A. Herzen Moscow Oncology Research Center – branch of FSBI NMRRC of the Ministry of Health of the Russian FederationRussian Federation202307032024124414Copyright © Филоненко Е.В., Каприн А.Д., 20242024Филоненко Е.В., Каприн А.Д.Filonenko E.V., Kaprin A.D.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.pdt-journal.com/jour/article/view/620

Опухоли кожи занимают первое место по заболеваемости в структуре онкологических новообразований. По оценкам ВОЗ, ежегодно от злокачественных новообразований кожи (ЗНО) умирает 60 000 человек: 48 000 с диагнозом меланома и 12 000 – рак кожи. Своевременная диагностика ЗНО кожи позволяет достигать излечения онкологических больных с длительными сроками безрецидивного наблюдения после завершения специализированного лечения. Внедрение в клиническую практику высокотехнологичных оптических методов диагностики новообразований кожи позволило значительно повысить специфичность, чувствительность и точность диагностики. Обзор посвящен обсуждению таких методов диагностики новообразований кожи, как флуоресцентная диагностика, цифровая дерматоскопия, СИА-скопия, конфокальная микроскопия. Обсуждены особенности применения каждого из методов, приведены результаты наиболее значимых российских и зарубежных исследований в данной области, а также собственные результаты практического применения высокотехнологичных методов диагностики в МНИОИ им. П.А. Герцена

Skin tumors occupy the first place in terms of incidence in the structure of oncological neoplasms. The WHO estimates that 60,000 people die each year from malignant neoplasms of the skin: 48,000 from melanoma and 12,000 from skin cancer. Timely diagnosis of skin cancer makes it possible to achieve a cure for cancer patients with long periods of relapse-free follow-up after the completion of specialized treatment. The introduction of high-tech optical methods for diagnosing skin neoplasms into clinical practice has significantly increased the specificity, sensitivity, and accuracy of diagnostics. The review is devoted to a discussion of such methods for diagnosing skin neoplasms as fluorescent diagnostics, digital dermatoscopy, SIA-scopy, and confocal microscopy. The features of the application of each of the methods are discussed, the results of the most significant Russian and foreign studies in this field are presented, as well as our own results of the practical application of a number of high-tech optical diagnostic methods at the P.A. Herzen Moscow Oncology Research Center

флуоресцентная диагностикацифровая дерматоскопияСИА-скопияконфокальная микроскопиямеланомарак кожиfluorescent diagnosticsdigital dermatoscopySIA-scopyconfocal microscopymelanomaskin cancerReferencesСостояние онкологической помощи населению в России в 2021 году / Под ред. Каприна А.Д., Старинского В.В., Шахзадовой А.О. – М.: МНИОИ им. П.А. Герцена – филиал ФГБУ «ФМИЦ им. П.А Герцена» Минздрава России. – 2022.Sostoyanie onkologicheskoi pomoshchi naseleniyu v Rossii v 2021 godu. Ed by Kaprin A.D., Starinskii V.V., Shakhzadova A.O. Moscow: MNIOI im. P.A. Gertsena – filial FGBU «FMITs im. P.A Gertsena» Minzdrava Rossii; 2022. (In Russ).Rey-Barroso L., Peña-Gutiérrez S., Yáñez C., et al. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review // Sensors. – 2021. – Vol. 21(1). – Р. 252. https://doi.org/10.3390/s21010252Rey-Barroso L., Peña-Gutiérrez S., Yáñez C., et al. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. Sensors, 2021, vol. 21(1), pp. 252. https://doi.org/10.3390/s21010252Abbasi N.R., Shaw H.M., Rigel D.S., Friedman R.J., et al. Early diagnosis of cutaneous melanoma: revisiting the ABCD criteria // JAMA. – 2004. – Vol. 292(22). – Р. 2771-2776. https://doi.org/10.1001/jama.292.22.2771Abbasi N.R., Shaw H.M., Rigel D.S., Friedman R.J. et al. Early diagnosis of cutaneous melanoma: revisiting the ABCD criteria. JAMA, 2004, vol. 292(22), pp. 2771-2776. https://doi.org/10.1001/jama.292.22.2771Уфимцева М.А., Петкау В.В., Шубина А.С. и др. Алгоритмы ранней диагностики меланомы кожи // Лечащий врач. – 2016. – № 12.Ufimtseva M.A., Petkau V.V., Shubina A.S., et al. Algoritmy rannei diagnostiki melanomy kozhi. Lechashchii vrach, 2016, vol. 12. (In Russ.)Goldman L. Some investigative studies of pigmented nevi with cutaneous microscopy // J Invest Dermatol. – 1951. – Vol. 16(6). – Р. 407-427. doi:10.1038/jid.1951.48Goldman L. Some investigative studies of pigmented nevi with cutaneous microscopy. J Invest Dermatol, 1951, vol. 16(6), pp. 407- 427. doi:10.1038/jid.1951.48Argenziano G., Fabbrocini G., Carli P., De Giorgi V., et al. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis // Arch Dermatol. – 1998. – Vol. 134(12). – Р. 1563-1570. doi:10.1001/archderm.134.12.1563Argenziano G., Fabbrocini G., Carli P., De Giorgi V., et al. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions. Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis. Arch Dermatol, 1998, vol. 134(12), pp. 1563-1570. doi:10.1001/archderm.134.12.1563Filonenko E., Ivanova-Radkevich V. Fluorescent diagnostics of non-melanoma skin cancer // Biomedical Photonics. – 2022. – Vol. 11(4). – Р. 32-40. https://doi.org/10.24931/2413-9432-2022-11-4-32-40Filonenko E, Ivanova-Radkevich V. Fluorescent diagnostics of nonmelanoma skin cancer. Biomedical Photonics, 2022, vol. 11(4), pp. 32-40. https://doi.org/10.24931/2413-9432-2022-11-4-32-40Won Y., Hong S.H., Yu H.Y., et al. Photodetection of basal cell carcinoma using methyl 5-aminolaevulinate-induced protoporphyrin IX based on fluorescence image analysis // Clin Exp Dermatol. – 2007. – Vol. 32. – Р. 423-429.Won Y., Hong S.H., Yu H.Y., et al. Photodetection of basal cell carcinoma using methyl 5-aminolaevulinate-induced protoporphyrin IX based on fluorescence image analysis. Clin Exp Dermatol. 2007, vol. 32, pp. 423-429.Smits T., Kleinpenning M.M., Blokx W.A., et al. Fluorescence diagnosis in keratinocytic intraepidermal neoplasias // J Am Acad Dermatol. – 2007. – Vol. 57. – Р. 824-831.Smits T., Kleinpenning M.M., Blokx W.A., et al. Fluorescence diagnosis in keratinocytic intraepidermal neoplasias. J Am Acad Dermatol, 2007, vol. 57, pp. 824-831.Neus S., Gambichler T., Bechara F.G., et al. Preoperative assessment of basal cell carcinoma using conventional fluorescence diagnosis // Arch Dermatol Res. – 2009. – Vol. 301(4). – Р. 289-294. doi: 10.1007/s00403-008-0911-9Neus S., Gambichler T., Bechara F.G., et al. Preoperative assessment of basal cell carcinoma using conventional fluorescence diagnosis. Arch Dermatol Res, 2009, vol. 301(4), pp. 289-294. doi: 10.1007/s00403-008-0911-9Van der Beek N., Leeuw J., Demmendal C., et al. PpIX fluorescence combined with auto-fluorescence is more accurate than PpIX fluorescence alone in fluorescence detection of non-melanoma skin cancer: an intra-patient direct comparison study // Laser Surg Med. – 2012. – Vol. 44. – Р. 271-276.Van der Beek N., Leeuw J., Demmendal C., et al. PpIX fluorescence combined with auto-fluorescence is more accurate than PpIX fluorescence alone in fluorescence detection of non-melanoma skin cancer: an intra-patient direct comparison study. Laser Surg Med, 2012, vol. 44, pp. 271-276.Andrade C.T., vollet-Filho J.D., Salvio A.G., et al. Identification of skin lesions through aminolaevulinic acid-mediated photodynamic detection // Photodiagnosis Photodyn Ther. – 2014. – Vol. 11(3). – Р. 409-415. doi: 10.1016/j.pdpdt.2014.05.006Andrade C.T., Vollet-Filho J.D., Salvio A.G., et al. Identification of skin lesions through aminolaevulinic acid-mediated photodynamic detection. Photodiagnosis Photodyn Ther, 2014, vol. 11(3), pp. 409-415. doi: 10.1016/j.pdpdt.2014.05.006Filonenko E.V., Ivanova-Radkevich V.I. Photodynamic therapy in the treatment of extramammary Paget’s disease // Biomedical Photonics. – 2022. – Vol. 11(3). – Р. 4-34. https://doi.org/10.24931/2413-9432-2022-11-3-24-34Filonenko E.V., Ivanova-Radkevich V.I. Photodynamic therapy in the treatment of extramammary Paget’s disease. Biomedical Photonics, 2022, vol. 11(3), pp. 4-34. https://doi.org/10.24931/2413-9432-2022-11-3-24-34Wu M., Huang L., Lu X., et al. Utility of photodynamic diagnosis plus reflectance confocal microscopy in detecting the margins of extramammary Paget disease // Indian J Dermatol Venereol Leprol. – 2021. – Vol. 87(2). – Р. 207-213. doi: 10.25259/IJDVL_90_20Wu M., Huang L., Lu X., et al. Utility of photodynamic diagnosis plus reflectance confocal microscopy in detecting the margins of extramammary Paget disease. Indian J Dermatol Venereol Leprol, 2021, vol. 87(2), pp. 207-213. doi: 10.25259/IJDVL_90_20Zhang Z., Zhang K., Khelifi A. Multivariate time series analysis in climate and environmental research // Cham: Springer International Publishing. – 2018.Zhang Z., Zhang K., Khelifi A. Multivariate time series analysis in climate and environmental research. Cham: Springer International Publishing, 2018.MacLellan A.N., Price E.L., Publicover-Brouwer P., et al. The use of noninvasive imaging techniques in the diagnosis of melanoma: a prospective diagnostic accuracy study // J Am Acad Dermatol. – 2021. – Vol. 85(2). – Р. 353-359. doi:10.1016/j.jaad.2020.04.019MacLellan A.N., Price E.L., Publicover-Brouwer P., et al. The use of noninvasive imaging techniques in the diagnosis of melanoma: a prospective diagnostic accuracy study. J Am Acad Dermatol, 2021, vol. 85(2), pp. 353-359. doi:10.1016/j.jaad.2020.04.019Sies K., Winkler J.K., Fink C., et al. Past and present of computerassisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1981 skin lesions // Eur J Cancer. – 2020. – Vol. 135. – Р. 39-46. doi:10.1016/j.ejca.2020.04.043Sies K., Winkler J.K., Fink C., et al. Past and present of computerassisted dermoscopic diagnosis: performance of a conventional image analyser versus a convolutional neural network in a prospective data set of 1,981 skin lesions. Eur J Cancer, 2020, vol. 135, pp. 39-46. doi:10.1016/j.ejca.2020.04.043Fink C., Blum A., Buhl T., et al. Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas // J Eur Acad Dermatol Venereol. – 2020. – Vol. 34(6). – Р. 1355-1361. doi:10.1111/jdv.16165Fink C, Blum A, Buhl T, et al. Diagnostic performance of a deep learning convolutional neural network in the differentiation of combined naevi and melanomas. J Eur Acad Dermatol Venereol, 2020, vol. 34(6), pp. 1355-1361. doi:10.1111/jdv.16165Fujisawa Y., Otomo Y., Ogata Y., et al. Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis // Br J Dermatol. – 2019. – Vol. 180(2). – Р. 373-381. doi:10.1111/bjd.16924Fujisawa Y., Otomo Y., Ogata Y., et al. Deep-learning-based, computer-aided classifier developed with a small dataset of clinical images surpasses board-certified dermatologists in skin tumour diagnosis. Br J Dermatol, 2019, vol. 180(2), pp. 373-381. doi:10.1111/bjd.16924Haenssle H.A., Fink C., Toberer F., et al. Man against machine tions // Ann Oncol. – 2020. – Vol. 31(1). – Р. 137-143. doi:10.1016/j. annonc.2019.10.013Haenssle H.A., Fink C., Toberer F., et al. Man against machineMonheit G., Cognetta A.B., Ferris L., et al. The performance of MelaFind: a prospective multicenter study // Arch Dermatol. – 2011. – Vol. 147(2). – Р. 188-194. doi:10.1001/archdermatol.2010.302reloaded: performance of a market-approved convolutional neural network in classifying a broad spectrum of skin lesions in comparison with 96 dermatologists working under less artificial conditions. Ann Oncol, 2020, vol. 31(1), pp. 137-143. doi:10.1016/j. annonc.2019.10.013Moncrieff M., Cotton S., Claridge E., Hall P. Spectrophotometric intracutaneous analysis: a new technique for imaging pigmented skin lesions // Br J Dermatol. – 2002. – Vol. 146(3). – Р. 448-457. doi:10.1046/j.1365-2133.2002.04569.xMonheit G., Cognetta A.B., Ferris L., et al. The performance of MelaFind: a prospective multicenter study. Arch Dermatol, 2011, vol. 147(2), pp. 188-194. doi:10.1001/archdermatol.2010.302Haniffa M.A., Lloyd J.J., Lawrence C.M. The use of a spectrophotometric intracutaneous analysis device in the real-time diagnosis of melanoma in the setting of a melanoma screening clinic // Br J Dermatol. – 2007. – Vol. 156(6). – Р. 1350-1352. doi:10.1111/j.1365-2133.2007.07932.xMoncrieff M, Cotton S, Claridge E, Hall P. Spectrophotometric intracutaneous analysis: a new technique for imaging pigmented skin lesions. Br J Dermatol. 2002;146(3):448-457. doi:10.1046/j.1365-2133.2002.04569.xCarrara M., Bono A., Bartoli C., et al. Multispectral imaging and arti- ficial neural network: mimicking the management decision of the clinician facing pigmented skin lesions // Phys Med Biol. – 2007. – Vol. 52(9). – Р. 2599-2613. doi:10.1088/0031-9155/52/9/018Haniffa M.A., Lloyd J.J., Lawrence C.M. The use of a spectrophotometric intracutaneous analysis device in the real-time diagnosis of melanoma in the setting of a melanoma screening clinic. Br J Dermatol, 2007, vol. 156(6), pp. 1350-1352. doi:10.1111/j.1365-2133.2007 .07932.xAscierto P.A., Palla M., Ayala F., et al. The role of spectrophotometry in the diagnosis of melanoma // BMC Dermatol. – 2010. – Vol. 10. – Р. 5. doi:10.1186/1471-5945-10-5Carrara M., Bono A., Bartoli C., et al. Multispectral imaging and arti- ficial neural network: mimicking the management decision of the clinician facing pigmented skin lesions. Phys Med Biol, 2007, vol. 52(9), pp. 2599-2613. doi:10.1088/0031-9155/52/9/018Glud M., Gniadecki R., Drzewiecki K.T. Spectrophotometric intracutaneous analysis versus dermoscopy for the diagnosis of pigmented skin lesions: prospective, double-blind study in a secondary reference centre // Melanoma Res. – 2009. – Vol. 19(3). – Р. 176- 179. doi:10.1097/CMR.0b013e328322fe5fAscierto P.A., Palla M., Ayala F., et al. The role of spectrophotometry in the diagnosis of melanoma. BMC Dermatol, 2010, vol. 10, p. 5. doi:10.1186/1471-5945-10-5Terstappen K., Suurküla M., Hallberg H., et al. Poor correlationGlud M., Gniadecki R., Drzewiecki K.T. Spectrophotometric intracutaneous analysis versus dermoscopy for the diagnosis of pigmented skin lesions: prospective, double-blind study in a secondary reference centre. Melanoma Res, 2009, vol. 19(3), pp. 176-179. doi:10.1097/CMR.0b013e328322fe5fbetween spectrophotometric intracutaneous analysis and histopathology in melanoma and nonmelanoma lesions // J Biomed Opt. – 2013. – Vol. 18(6). – Р. 061223. doi:10.1117/1.JBO.18.6.061223Terstappen K., Suurküla M., Hallberg H., et al. Poor correlation between spectrophotometric intracutaneous analysis and histopathology in melanoma and nonmelanoma lesions. J Biomed Opt, 2013, vol. 18(6), pp. 061223. doi:10.1117/1 .JBO.18.6.061223Sgouros D., Lallas A., Julian Y., et al. Assessment of SI Ascopy in the triage of suspicious skin tumours // Skin Res Technol. – 2014. – Vol. 20(4). – Р. 440-444. doi:10.1111/srt.12138Sgouros D., Lallas A., Julian Y., et al. Assessment of SIAscopy in the triage of suspicious skin tumours. Skin Res Technol, 2014, vol. 20(4), pp. 440-444. doi:10.1111/srt.12138Rey-Barroso L., Peña-Gutiérrez S., Yáñez C., Burgos-Fernández F.J., Vilaseca M., Royo S. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review // Sensors (Basel) . – 2021. – Vol. 21(1). – Р. 252. doi:10.3390/s21010252Rey-Barroso L., Peña-Gutiérrez S., Yáñez C., Burgos-Fernández F.J., Vilaseca M., Royo S. Optical Technologies for the Improvement of Skin Cancer Diagnosis: A Review. Sensors (Basel), 2021, vol. 21(1), p. 252. doi:10.3390/s21010252Guitera P., Pellacani G., Longo C., et al. In Vivo Reflectance Confocal Microscopy Enhances Secondary Evaluation of Melanocytic Lesions // J. Investig. Dermatol. – 2009. – Vol. 129. – Р. 131-138. doi: 10.1038/jid.2008.193.Guitera P., Pellacani G., Longo C., et al. In Vivo Reflectance Confocal Microscopy Enhances Secondary Evaluation of Melanocytic Lesions. J. Investig. Dermatol, 2009, vol. 129, pp. 131-138. doi: 10.1038/jid.2008.193.Guitera P., Menzies S.W., Longo C., et al. In Vivo Confocal Microscopy for Diagnosis of Melanoma and Basal Cell Carcinoma Using a Two-Step Method: Analysis of 710 Consecutive Clinically Equivocal Cases // J. Investig. Dermatol. – 2012. – Vol. 132. – Р. 2386-2394. doi: 10.1038/jid.2012.172.Guitera P, Menzies SW, Longo C, et al. In Vivo Confocal Microscopy for Diagnosis of Melanoma and Basal Cell Carcinoma Using a Two-Step Method: Analysis of 710 Consecutive Clinically Equivocal Cases. J. Investig. Dermatol, 2012, vol. 132, pp. 2386-2394. doi: 10.1038/jid.2012.172.Segura S., Puig S., Carrera C., et al. Development of a two-step method for the diagnosis of melanoma by reflectance confocal microscopy // J. Am. Acad. Dermatol. – 2009. – Vol. 61. – Р. 216-229. doi: 10.1016/j.jaad.2009.02.014.Segura S., Puig S., Carrera C., et al. Development of a two-step method for the diagnosis of melanoma by reflectance confocal microscopy. J. Am. Acad. Dermatol, 2009, vol. 61, pp. 216-229. doi: 10.1016/j.jaad.2009.02.014.Horn M., Gerger A., Ahlgrimm-Siess V., et al. Discrimination of actinic keratoses from normal skin with reflectance mode confocal microscopy // Dermatol. Surg. – 2008. – Vol. 34. – Р. 620-625.Horn M., Gerger A., Ahlgrimm-Siess V., et al. Discrimination of actinic keratoses from normal skin with reflectance mode confocal microscopy. Dermatol. Surg, 2008, vol. 34, pp. 620-625.Gareau D.S., Li Y., Huang B., et al. Confocal mosaicing microscopy in Mohs skin excisions: Feasibility of rapid surgical pathology // J. Biomed. Opt. – 2008. – Vol. 13. – Р. 054001. doi: 10.1117/1.2981828.Gareau D.S., Li Y., Huang B., et al. Confocal mosaicing microscopy in Mohs skin excisions: Feasibility of rapid surgical pathology. J. Biomed. Opt, 2008, vol. 13, p. 054001. doi: 10.1117/1.2981828.

The authors declare that there are no conflicts of interest present.