Linear discriminant analysis of dermoscopic parameters for the differentiation of early melanomas from Clark naevi

Melanoma Research

Volumn 14, Issue 2, 2004, Pages 131-134

  Oka, Hiroshi ^a   Tanaka, Masaru ^a   Kobayashi, Seiichiro ^a   Argenziano, Giuseppe ^b   Soyer, H Peter ^c   Nishikawa, Takeji ^a  

^a KEIO UNIVERSITY   (Japan)

^b SECOND UNIVERSITY OF NAPLES   (Italy)

^c UNIVERSITY OF GRAZ   (Austria)

Author keywords

Clark naevus; Dermoscopy; Digital diagnosis; Discriminant analysis; Malignant melanoma

Indexed keywords

ARTICLE; CELL DIFFERENTIATION; CELL INVASION; COLOR; EPILUMINESCENCE MICROSCOPY; HISTOPATHOLOGY; HUMAN; MATHEMATICAL ANALYSIS; MELANOMA; MULTIVARIATE ANALYSIS; NEVUS; PIGMENTATION; PRIORITY JOURNAL; SENSITIVITY ANALYSIS; SKIN DEFECT;

DERMATOLOGY; DIAGNOSIS, DIFFERENTIAL; DISCRIMINANT ANALYSIS; HUMANS; MELANOMA; MICROSCOPY; MULTIVARIATE ANALYSIS; NEVUS, PIGMENTED; SKIN NEOPLASMS;

EID: 2042538654     PISSN: 09608931     EISSN: None     Source Type: Journal    
DOI: 10.1097/00008390-200404000-00009     Document Type: Article

References (12)

1. Meyskens FL Jr, Berdeaux DH, Parks B, Tong T, Loescher L, Moon TE. Cutaneous malignant melanoma (Arizona Cancer Center experience). I. Natural history and prognostic factors influencing survival in patients with stage I disease. Cancer 1988; 62:1207-1214.
2. Buttner P, Garbe C, Bertz J, Burg G, d'Hoedt B, Drepper H, et al. Primary cutaneous melanoma. Optimized cutoff points of tumor thickness and importance of Clark's level for prognostic classification. Cancer 1995; 75:2499-2506.
3. Garbe C, Buttner P, Bertz J, Burg G, d'Hoedt B, Drepper H, et al. Primary cutaneous melanoma. Identification of prognostic groups and estimation of individual prognosis for 5093 patients. Cancer 1995; 75:2484-2491.
4. Balch CM, Murad TM, Soong SJ, Ingalls AL, Richards PC, Maddox WA. Tumor thickness as a guide to surgical management of clinical stage I melanoma patients. Cancer 1979; 43:883-888.
5. Soyer HP, Smolle J, Kerl H, Stettner H. Early diagnosis of malignant melanoma by surface microscopy. Lancet 1987; ii:803.
6. Otsu N. An automatic threshold selection method based on discriminant and least squares criteria. IECE Trans 1988; 63:349-356.
7. Rafael CG, Richard EW. Digital image processing, 2nd edition. New Jersey: Prentice Hall; 2002.
8. Elbaum M, Kopf AW, Rabinovitz HS, Langley RG, Kamino H, Mihm MC Jr, et al. Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: a feasibility study. J Am Acad Dermatol 2001; 44:207-218.
9. Rubegni P, Burroni M, Cevenini G, Perotti R, Dell'Eva G, Barbini P, et al. Digital dermoscopy analysis and artificial neural network for the differentiation of clinically atypical pigmented skin lesions: a retrospective study. J Invest Dermatol 2002; 119:471-474.
10. Clark WH Jr, Reimer RR, Greene M, Ainsworth AM, Mastrangelo MJ. Origin of familial malignant melanomas from heritable melanocytic lesions. 'The B-K mole syndrome'. Arch Dermatol 1978; 114:732-738.
11. Ackerman AB, Briggs PL, Bravo F. Dysplastic nevus, compound type vs. Clark's nevus, compound type. In: Ackerman AB, Briggs PL, Bravo F (editors): Differential diagnosis in dermatopathology. Philadelphia: Lea & Febiger; 1993. pp. 158-161.
12. NIH Consensus conference. Diagnosis and treatment of early melanoma. JAMA 1992; 268:1314-1319.