Gidranovich A.V.*, Lud N.G.*, Shlyakhtunov E.A.*, Lud L.N.*, Zhukovets A.G.**, Prokoshin A.V.*, Kozhar V.L.*
The perspective of using expert systems in the early diagnosing of skin melanoma
*Education Establishment "Vitebsk State Order of Peoples’ Friendship Medical University", Republic of Belarus
**State Establishment "N.N. Alexandrov National Cancer Centre of Belarus", Republic of Belarus
Abstract.
The statistical data concerning the dynamics of morbidity of non-melanoma malignant diseases of the skin and malignant skin melanoma in the world, the Republic of Belarus and Vitebsk region beginning with 1970 are presented in the article. The data from the Republican cancer register served as the material for this analysis. The steady growth of malignant diseases morbidity is a worldwide tendency, manifesting itself in 3,4 fold increase worldwide during the last 20 years, in Vitebsk region the number of cases grew from 58 in 1970 to 922 in 2011 (maximum index for the investigated period), i.e. 15,9 fold increase is evident. The increase of new cases of malignant skin melanoma in Vitebsk region was 102 fold for the period 1970–2012 (from 1 case in 1970). In the article the review of the best-known techniques of visual diagnosing of melanoma, mnemonic rules and methods of dermatoscopy images analysis is done.
Key words: skin melanoma, morbidity, Vitebsk region, early diagnosis, dermatoscopy.
References
1. Okeanov AE, Moiseev PI, Levin LF, Sukonko OG, red. Statistika onkologicheskikh zabolevanii v Respublike Belarus' (2003-2012) [Statistics of oncologic diseases in Republic of Belarus (2003-2012)]. Minsk, RB: RNPTs im NN Aleksandrova; 2013. 373 р.
2. Friedman RJ, Gutkowicz-Krusin D, Farber MJ, Warycha M, Schneider-Kels L, Papastathis N, Mihm MC Jr, Googe P, King R, Prieto VG, Kopf AW, Polsky D, Rabinovitz H, Oliviero M, Cognetta A, Rigel DS, Marghoob A, Rivers J, Johr R, Grant-Kels JM, Tsao H. The diagnostic performance of expert dermoscopists vs a computer-vision system on small-diameter melanomas. Arch Dermatol. 2008 Apr;144(4):476-82.
3. Kittler H, Pehamberger H, Wolff K, Binder M. Diagnostic accuracy of dermoscopy. Lancet Oncol. 2002 Mar;3(3):159-65.
4. Binder M, Schwarz M, Winkler A, Steiner A, Kaider A, Wolff K, Pehamberger H. Epiluminescence microscopy. A useful tool for the diagnosis of pigmented skin lesions for formally trained dermatologists. Arch Dermatol. 1995 Mar;131(3):286-91.
5. Westerhoff K, McCarthy WH, Menzies SW. Westerhoff, K. Increase in the sensitivity for melanoma diagnosis by primary care physicians using skin surface microscopy. Br J Dermatol. 2000 Nov;143(5):1016-20.
6. World Health Organization Classification of Tumours; LeBoit PE, ed, Burg G, ed, Weedon D, ed, Sarasain A. Pathology and Genetics of Skin Tumours. Lyon: IARC Press; 2006.
7. Thomas L, Tranchand P, Berard F, Secchi T, Colin C, Moulin G. Semiological value of ABCDE criteria in the diagnosis of cutaneous pigmented tumors. Dermatology. 1998;197(1):11-7.
8. Healsmith MF, Bourke JF, Osborne JE, Graham-Brown RA. An evaluation of the revised seven-point checklist for the early diagnosis of cutaneous melanoma. Br J Dermatol. 1994 Jan;130(1):48-50.
9. Gelfond ML. Differentsial'naia diagnostika opukholei kozhi v praktike dermatologov i kosmetologov [Differential diagnosis of tumors of a skin in practice of dermatologists and cosmetologists]. Prakticheskaia onkologiia. 2012;13(2):69-79.
10. Strayer SM, Reynolds PL. Diagnosing skin malignancy: assessment of predictive clinical criteria and risk factors. J Fam Pract. 2003 Mar;52(3):210-8.
11. Pizzichetta MA, Talamini R, Marghoob AA, Soyer HP, Argenziano G, Bono R, Corradin MT, De Giorgi V, Gonzalez MA, Kolm I, Kopf AW, Malvehy J, Nami N,Oliviero M, Pellacani G, Puig S, Rabinovitz H, Rubegni P, Seidenari S, Stanganelli I, Veronesi A, Zalaudek I, Zampieri P, Menzies SW. Negative pigment network: an additional dermoscopic feature for the diagnosis of melanoma. J Am Acad Dermatol. 2013 Apr;68(4):552-9.
12. Ayoub A, Hajdu A, Nagy A. Automatic Detection of Pigmented Network in Melanoma Dermoscopic Images. IJCSCS. 2012;2:58-63.
13. Marghoob AA, ed, Malvehy J, ed, Braun RP, ed. An Atlas of Dermoscopy. Second еd. CRC Press; 2012. 365 p.
14. Oiso N, Kawada A. The dermoscopic features in infantile hemangioma. Pediatr Dermatol. 2011 Sep-Oct;28(5):591-3.
15. Kamińska-Winciorek G. Digital dermatology. 1st ed. Wroclaw: Cornetis; 2008.
16. Moscarella E, Zalaudek I, Buccini P, Cota C, Catricalà C, Argenziano G. Dermoscopy and confocal microscopy of thrombosed hemangiomas. Arch Dermatol. 2012 Mar;148(3):410.
17. Zaballos P, Daufí C, Puig S, Argenziano G, Moreno-Ramírez D, Cabo H, Marghoob AA, Llambrich A, Zalaudek I, Malvehy J. Dermoscopy of solitary angiokeratomas: a morphological study. Arch Dermatol. 2007 Mar;143(3):318-25.
18. Zaballos P, Llambrich A, Cuéllar F, Puig S, Malvehy J. Dermoscopic findings in pyogenic granuloma. Br J Dermatol. 2006 Jun;154(6):1108-11.
19. Zaballos P, Rodero J, Serrano P, Cuellar F, Guionnet N, Vives JM. Pyogenic granuloma clinically and dermoscopically mimicking pigmented melanoma. Dermatol Online J. 2009 Oct;15(10):10.
20. Hu SC, Ke CL, Lee CH, Wu CS, Chen GS, Cheng ST. Dermoscopy of Kaposi’s sarcoma: areas exhibiting the multicoloured ‘rainbow pattern’. J Eur Acad Dermatol Venereol. 2009 Oct;23(10):1128-32.
21. de Giorgi V, Massi D, Salvini C, Mannone F, Carli P. Pigmented seborrheic keratoses of the vulva clinically mimicking a malignant melanoma: a clinical, dermoscopic-pathologic case study. Clin Exp Dermatol. 2005 Jan;30(1):17-9.
22. Samimi M, Perrinaud A, Naouri M, Maruani A, Perrodeau E, Vaillant L, Machet L. High-resolution ultrasonography assists the dierential diagnosis of blue naevi and cutaneous metastases of melanoma. Br J Dermatol. 2010 Sep;163(3):550-6.
23. Argenziano G, Fabbrocini G, Carli P, De Giorgi V, Sammarco E, Delfino M. 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 Dec;134(12):1563-70.
24. Dhawan AP. An expert system for the early detection of melanoma using knowledge-based image analysis. Anal Quant Cytol Histol. 1988 Dec;10(6):405-16.
25. Iyatomi H, Oka H, Celebi ME, Hashimoto M, Hagiwara M, Tanaka M, Ogawa K. An improved internet-based melanoma screening system with dermatologist-like tumor area extraction algorithm. Comput Med Imaging Graph. 2008 Oct;32(7):566-79.
