A simple digital image processing system to aid in melanoma diagnosis in an everyday melanocytic skin lesion unit. A preliminary report

International Journal of Dermatology

Volumn 45, Issue 4, 2006, Pages 402-410

  Manousaki, Aglaia G ^a,e   Manios, Andreas G ^b   Tsompanaki, Evgenia I ^d   Panayiotides, John G ^c   Tsiftsis, Dimitris D ^b   Kostaki, Anastasia K ^d   Tosca, Androniki D ^a  

^a UNIVERSITY OF CRETE   (Greece)

^b UNIVERSITY OF CRETE   (Greece)

^c UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

^d ATHENS UNIVERSITY OF ECONOMICS AND BUSINESS   (Greece)

^e UNIVERSITY HOSPITAL OF HERAKLION   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CANCER DIAGNOSIS; COLOR; CONTROLLED STUDY; CORRELATION COEFFICIENT; DIAGNOSTIC ACCURACY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; DIGITAL IMAGING; GEOMETRY; HISTOPATHOLOGY; HUMAN; HUMAN TISSUE; IMAGE PROCESSING; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; MELANOMA; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NEVUS; NONPARAMETRIC TEST; PREDICTION; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; LOGISTIC MODELS; MELANOMA; NEVUS, PIGMENTED; REPRODUCIBILITY OF RESULTS; ROC CURVE; SENSITIVITY AND SPECIFICITY; SKIN NEOPLASMS;

EID: 33645553589     PISSN: 00119059     EISSN: 13654632     Source Type: Journal    
DOI: 10.1111/j.1365-4632.2006.02726.x     Document Type: Article

References (37)

1. Armstrong BK, Kricker A. Cutaneous melanoma: Trends in cancer incidence and mortality. Cancer Surv 1994; 19-20: 219-240.
2. Balch CM. Cutaneous melanomas. Prognosis and treatment results worldwide. Semin Surg Oncol 1992; 8: 400-414.
3. Morton DL, Davtyan DG, Wanek LA. Multivariate analysis of the relationship between survival and the microstage of primary melanoma by Clark level and Breslow thickness. Cancer 1993; 71: 3737-3743.
4. Schindewolf T, Schiffner R, Stoltz W, et al. Evaluation of different image acquisition techniques for a computer vision system in the diagnosis of malignant melanoma. J Am Acad Dermatol 1994; 31: 33-41.
5. Green A, Martin N, Pfitzner J, et al. Computer image analysis in the diagnosis of melanoma. J Am Acad Dermatol 1994; 31: 958-964.
6. Sober AJ, Burstein JM. Computerized digital image analysis: An aid for melanoma diagnosis. J Dermatol 1994; 21: 885-890.
7. Andreassi L, Perotti R, Rubegni P, et al. Digital dermoscopy analysis for the differentiation of atypical nevi and early melanoma: A new quantitative semiology. Arch Dermatol 1999; 135: 1459-1465.
8. Pehamberger H, Steiner A, Wolff K. In vivo epiluminescence microscopy of pigmented skin lesions. I. Pattern of analysis of pigmented skin lesions. J Am Acad Dermatol 1987; 17: 571-583.
9. Pehamberger H, Binder M, Steiner A, et al. In vivo epiluminescence microscopy: Improvement of early diagnosis of melanoma. J Invest Dermatol 1993; 100: 356S-362S.
10. Bahmer FA, Fritsch P, Kreusch J, et al. Terminology in surface microscopy. J Am Acad Dermatol 1990; 23: 1159-1162.
11. Moncrieff M, Cotton S, Claridge E, et al. Spectrophotometric intracutaneous analysis: A new technique for imaging pigmented skin lesions. Br J Dermatol 2002; 146: 448-457.
12. Kenet RD. Digital imaging in dermatology. Clin Dermatol 1995; 13: 381-392.
13. Friedman RJ, Heilman ER, Rigel DS. The dysplastic nevus. Clinical and pathological features. Dermatol Clin 1985; 3: 239-249.
14. Breslow A. Thickness, cross-sectional areas and depth of invasion in the prognosis of cutaneous melanoma. Ann Surg 1970; 172: 902-908.
15. Clark WH Jr, Elder DE, Guerry D 4th, et al. Model predicting survival in stage I melanoma based on tumor progression. J Natl Cancer Inst 1989; 81: 1893-1904.
16. Kelly JW, Sagebiel RW, Calderon W, et al. The frequency of local recurrence and microsatellites as a guide to reexcision margins for cutaneous malignant melanoma. Ann Surg 1984; 200: 759-763.
17. Holmstrom H. Surgical management of primary melanoma. Semin Surg Oncol 1992; 8: 366-369.
18. Mandelbrot BB. Fractals lacunarity, and how it can be tuned and measured. In: Nonnenmacher TF, Losa GA, Weibel ER, eds. Fractals in Biology and Medicine. Boston: Birkhauser-Verlag, 1994: 21-28.
19. Plotnick RE, Gardner RH, Hargrove WW, et al. Lacunarity analysis: A general technique for the analysis of spatial patterns. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 1996; 53: 5461-5468.
20. Dubuc B, Quiniou JF, Roques-Carmes C, et al. Evaluating fractal dimension of profiles. Phys Rev A 1989; 39: 1500-1512.
21. Allain C, Cloitre M. Characterizing the lacunarity of random and deterministic fractal sets. Phys Rev A 1991; 44: 3552-3558.
22. Hosmer DW, Lemeshow S. Applied Logistic Regression. New York: John Wiley, 1989.
23. Judd CM, McClelland GH. Data Analysis: A Model Comparison Approach. San Diego CA: Harcourt Brace Jovanovich, 1989.
24. Van Houwelingen JC, Le Cessie S. Predictive value of statistical models. Stat Med 1990; 9: 1303-1325.
25. Colton T. Statistics in Medicine. Boston: Little, Brown and Co, 1974.
26. Harrell FE. Regression Modelling Strategies with Applications to Linear Models, Logistic Regression and Survival Analysis. New York: Springer-Verlag, 2001.
27. Concato J, Feinstein AR, Holford TR. The risk of determining risk with multivariable models. Ann Intern Med 1993; 118: 201-210.
28. Bland M. An Introduction to Medical Statistics, 3rd edn. New York: Oxford University Press, 2000.
29. Siminoff JS. Logistic regression, categorical predictors, and goodness-of-fit: It depends on who you ask. Am Statistician 1998; 52: 10-14.
30. Gail MH. A Bibliography and comments on the use of statistical models in epidemiology in the 1980s. Stat Med 1991; 10: 1819-1885.
31. Harrell FE, Lee K, Califf RM, et al. Regression modeling strategies for improved prognostic prediction. Stat Med 1984; 3: 143-152.
32. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics 1988; 44: 837-845.
33. SAS Institute Inc. Getting started with Enterprise Miner Software, version 4.0 SAS Institute Inc.: Cary, North Carolina, 2000.
34. Petuzzi P, Concato J, Kemper E, et al. A simulation study of the number of events per variable in logistic regression analysis. J Clin Epidemiol 1996; 49: 1373-1379.
35. Steyerberg EW, Eijkemans MJ, Harrel FE Jr, et al. Prognostic modelling with logistic regression analysis: A comparison of selection and estimation methods in small data sets. Stat Med 2000; 19: 1059-1079.
36. Wasson JH, Sox HC, Neff RK, et al. Clinical prediction rules: applications and methodological standards. N Engl J Med 1985; 313: 793-799.
37. Day GR, Barbour RH. Automated skin lesion screening -a new approach. Melanoma Res 2001; 11: 31-35.