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Дерматоскопический алгоритм CASH: вопросы применения в клинической практике
Дерматоскопический алгоритм CASH: вопросы применения в клинической практике
Жучков М.В., Большакова Е.Е., Сонин Д.Б. и др. Дерматоскопический алгоритм CASH: вопросы применения в клинической практике. Consilium Medicum. 2019; 21 (12.2): 14–17. DOI: 10.26442/24143537.2019.1.190203
DOI: 10.26442/24143537.2019.1.190203
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DOI: 10.26442/24143537.2019.1.190203
Материалы доступны только для специалистов сферы здравоохранения. Авторизуйтесь или зарегистрируйтесь.
Аннотация
В статье приводятся обзорные данные относительно применения в клинической практике диагностического алгоритма CASH. Подробно рассматривается алгоритм действий врача-дерматовенеролога при использовании данного инструмента в своей клинической практике.
Ключевые слова: дерматоскопия, дерматоскопический алгоритм CASH.
Key words: dermoscopy, CASH algorithm for dermoscopy.
Ключевые слова: дерматоскопия, дерматоскопический алгоритм CASH.
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Key words: dermoscopy, CASH algorithm for dermoscopy.
Полный текст
Список литературы
1. Dinnes J, Deeks JJ, Chuchu N et al. Cochrane Skin Cancer Diagnostic Test Accuracy Group. Dermoscopy, with and without visual inspection, for diagnosing melanoma in adults. Cochrane Database Syst Rev 2018; 12: CD011902. DOI: 10.1002/14651858.CD011902.pub2
2. Witta S, Bershow A, Farah RS et al. Dermoscopy findings of a one mm lentigo maligna. Dermatol Online J 2018; 24 (7); pii: 13030/qt5xp740wn.
3. Pampena R, Longo C. Can we improve melanoma detection methods? Melanoma Manag 2017; 4 (3): 139–42. DOI: 10.2217/mmt-2017-0009
4. Henning JS, Dusza SW, Wang SQ et al. The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy. J Am Acad Dermatol 2007; 56 (1): 45–52.
5. Henning JS, Stein JA, Yeung J et al. CASH algorithm for dermoscopy revisited. Arch Dermatol 2008; 144 (4): 554–5. DOI: 10.1001/archderm.144.4.554
6. Lin J, Koga H, Takata M, Saida T. Dermoscopy of pigmented lesions on mucocutaneous junction and mucous membrane. Br J Dermatol 2009; 161 (6): 1255–61.
7. Abbas Q, Celebi ME, Fondón I. Computer-aided pattern classification system for dermoscopy images. Skin Res Technol 2012; 18 (3): 278–89. DOI: 10.1111/j.1600-0846.2011.00562.x
8. Abbas Q, Emre Celebi M, Garcia IF, Ahmad W. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images. Skin Res Technol 2013; 19 (1): e93–102. DOI: 10.1111/j.1600-0846.2012.00614.x.
9. Unlu E, Akay BN, Erdem C. Comparison of dermatoscopic diagnostic algorithms based on calculation: The ABCD rule of dermatoscopy, the seven-point checklist, the three-point checklist and the CASH algorithm in dermatoscopic evaluation of melanocytic lesions. J Dermatol 2014; 41 (7): 598–603.
10. Di Meo N, Stinco G, Bonin S et al. CASH algorithm versus 3-point checklist and its modified version in evaluation of melanocytic pigmented skin lesions: The 4-point checklist. J Dermatol 2016; 43 (6): 682–5. DOI: 10.1111/1346-8138.13201
11. Carrera C, Marchetti MA, Dusza SW et al. Validity and Reliability of Dermoscopic Criteria Used to Differentiate Nevi From Melanoma: A Web-Based International Dermoscopy Society Study. JAMA Dermatol 2016; 152 (7): 798–806. DOI: 10.1001/jamadermatol.2016.0624
2. Witta S, Bershow A, Farah RS et al. Dermoscopy findings of a one mm lentigo maligna. Dermatol Online J 2018; 24 (7); pii: 13030/qt5xp740wn.
3. Pampena R, Longo C. Can we improve melanoma detection methods? Melanoma Manag 2017; 4 (3): 139–42. DOI: 10.2217/mmt-2017-0009
4. Henning JS, Dusza SW, Wang SQ et al. The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy. J Am Acad Dermatol 2007; 56 (1): 45–52.
5. Henning JS, Stein JA, Yeung J et al. CASH algorithm for dermoscopy revisited. Arch Dermatol 2008; 144 (4): 554–5. DOI: 10.1001/archderm.144.4.554
6. Lin J, Koga H, Takata M, Saida T. Dermoscopy of pigmented lesions on mucocutaneous junction and mucous membrane. Br J Dermatol 2009; 161 (6): 1255–61.
7. Abbas Q, Celebi ME, Fondón I. Computer-aided pattern classification system for dermoscopy images. Skin Res Technol 2012; 18 (3): 278–89. DOI: 10.1111/j.1600-0846.2011.00562.x
8. Abbas Q, Emre Celebi M, Garcia IF, Ahmad W. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images. Skin Res Technol 2013; 19 (1): e93–102. DOI: 10.1111/j.1600-0846.2012.00614.x.
9. Unlu E, Akay BN, Erdem C. Comparison of dermatoscopic diagnostic algorithms based on calculation: The ABCD rule of dermatoscopy, the seven-point checklist, the three-point checklist and the CASH algorithm in dermatoscopic evaluation of melanocytic lesions. J Dermatol 2014; 41 (7): 598–603.
10. Di Meo N, Stinco G, Bonin S et al. CASH algorithm versus 3-point checklist and its modified version in evaluation of melanocytic pigmented skin lesions: The 4-point checklist. J Dermatol 2016; 43 (6): 682–5. DOI: 10.1111/1346-8138.13201
11. Carrera C, Marchetti MA, Dusza SW et al. Validity and Reliability of Dermoscopic Criteria Used to Differentiate Nevi From Melanoma: A Web-Based International Dermoscopy Society Study. JAMA Dermatol 2016; 152 (7): 798–806. DOI: 10.1001/jamadermatol.2016.0624
2. Witta S, Bershow A, Farah RS et al. Dermoscopy findings of a one mm lentigo maligna. Dermatol Online J 2018; 24 (7); pii: 13030/qt5xp740wn.
3. Pampena R, Longo C. Can we improve melanoma detection methods? Melanoma Manag 2017; 4 (3): 139–42. DOI: 10.2217/mmt-2017-0009
4. Henning JS, Dusza SW, Wang SQ et al. The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy. J Am Acad Dermatol 2007; 56 (1): 45–52.
5. Henning JS, Stein JA, Yeung J et al. CASH algorithm for dermoscopy revisited. Arch Dermatol 2008; 144 (4): 554–5. DOI: 10.1001/archderm.144.4.554
6. Lin J, Koga H, Takata M, Saida T. Dermoscopy of pigmented lesions on mucocutaneous junction and mucous membrane. Br J Dermatol 2009; 161 (6): 1255–61.
7. Abbas Q, Celebi ME, Fondón I. Computer-aided pattern classification system for dermoscopy images. Skin Res Technol 2012; 18 (3): 278–89. DOI: 10.1111/j.1600-0846.2011.00562.x
8. Abbas Q, Emre Celebi M, Garcia IF, Ahmad W. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images. Skin Res Technol 2013; 19 (1): e93–102. DOI: 10.1111/j.1600-0846.2012.00614.x.
9. Unlu E, Akay BN, Erdem C. Comparison of dermatoscopic diagnostic algorithms based on calculation: The ABCD rule of dermatoscopy, the seven-point checklist, the three-point checklist and the CASH algorithm in dermatoscopic evaluation of melanocytic lesions. J Dermatol 2014; 41 (7): 598–603.
10. Di Meo N, Stinco G, Bonin S et al. CASH algorithm versus 3-point checklist and its modified version in evaluation of melanocytic pigmented skin lesions: The 4-point checklist. J Dermatol 2016; 43 (6): 682–5. DOI: 10.1111/1346-8138.13201
11. Carrera C, Marchetti MA, Dusza SW et al. Validity and Reliability of Dermoscopic Criteria Used to Differentiate Nevi From Melanoma: A Web-Based International Dermoscopy Society Study. JAMA Dermatol 2016; 152 (7): 798–806. DOI: 10.1001/jamadermatol.2016.0624
________________________________________________
2. Witta S, Bershow A, Farah RS et al. Dermoscopy findings of a one mm lentigo maligna. Dermatol Online J 2018; 24 (7); pii: 13030/qt5xp740wn.
3. Pampena R, Longo C. Can we improve melanoma detection methods? Melanoma Manag 2017; 4 (3): 139–42. DOI: 10.2217/mmt-2017-0009
4. Henning JS, Dusza SW, Wang SQ et al. The CASH (color, architecture, symmetry, and homogeneity) algorithm for dermoscopy. J Am Acad Dermatol 2007; 56 (1): 45–52.
5. Henning JS, Stein JA, Yeung J et al. CASH algorithm for dermoscopy revisited. Arch Dermatol 2008; 144 (4): 554–5. DOI: 10.1001/archderm.144.4.554
6. Lin J, Koga H, Takata M, Saida T. Dermoscopy of pigmented lesions on mucocutaneous junction and mucous membrane. Br J Dermatol 2009; 161 (6): 1255–61.
7. Abbas Q, Celebi ME, Fondón I. Computer-aided pattern classification system for dermoscopy images. Skin Res Technol 2012; 18 (3): 278–89. DOI: 10.1111/j.1600-0846.2011.00562.x
8. Abbas Q, Emre Celebi M, Garcia IF, Ahmad W. Melanoma recognition framework based on expert definition of ABCD for dermoscopic images. Skin Res Technol 2013; 19 (1): e93–102. DOI: 10.1111/j.1600-0846.2012.00614.x.
9. Unlu E, Akay BN, Erdem C. Comparison of dermatoscopic diagnostic algorithms based on calculation: The ABCD rule of dermatoscopy, the seven-point checklist, the three-point checklist and the CASH algorithm in dermatoscopic evaluation of melanocytic lesions. J Dermatol 2014; 41 (7): 598–603.
10. Di Meo N, Stinco G, Bonin S et al. CASH algorithm versus 3-point checklist and its modified version in evaluation of melanocytic pigmented skin lesions: The 4-point checklist. J Dermatol 2016; 43 (6): 682–5. DOI: 10.1111/1346-8138.13201
11. Carrera C, Marchetti MA, Dusza SW et al. Validity and Reliability of Dermoscopic Criteria Used to Differentiate Nevi From Melanoma: A Web-Based International Dermoscopy Society Study. JAMA Dermatol 2016; 152 (7): 798–806. DOI: 10.1001/jamadermatol.2016.0624
Авторы
М.В. Жучков*1, Е.Е. Большакова1, Д.Б. Сонин1, Е.Е. Жильцова2, Р.Р. Шилин2, М.С. Исакова1, С.А. Родионова1
1 ГБУ РО «Областной клинический кожно-венерологический диспансер»;
2 ФГБОУ ВО «Рязанский государственный медицинский университет им. акад. И.П. Павлова» Минздрава России
*misha.juchkov@gmail.com
1 Ryazan State Regional Dermato-Venerological Clinic;
2 I.P. Pavlov Ryazan State Medical University of the Ministry of Health of the Russian Federation
*misha.juchkov@gmail.com
1 ГБУ РО «Областной клинический кожно-венерологический диспансер»;
2 ФГБОУ ВО «Рязанский государственный медицинский университет им. акад. И.П. Павлова» Минздрава России
*misha.juchkov@gmail.com
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1 Ryazan State Regional Dermato-Venerological Clinic;
2 I.P. Pavlov Ryazan State Medical University of the Ministry of Health of the Russian Federation
*misha.juchkov@gmail.com
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