Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: A feasibility study

被引:168
作者
Elbaum, M
Kopf, AW
Rabinovitz, HS
Langley, RGB
Kamino, H
Mihm, MC
Sober, AJ
Peck, GL
Bogdan, A
Gutkowitcz-Krusin, D
Greenebaum, M
Keem, S
Oliviero, M
Wang, S
机构
[1] Electroopt Sci Inc, Irvington, NY 10533 USA
[2] NYU, Sch Med, New York, NY USA
[3] Skin & Canc Associates, Plantation, FL USA
[4] Harvard Univ, Massachusetts Gen Hosp, Sch Med, Boston, MA USA
[5] Washington Canc Inst, Washington, DC USA
关键词
D O I
10.1067/mjd.2001.110395
中图分类号
R75 [皮肤病学与性病学];
学科分类号
100206 ;
摘要
Background: Differentiation of melanoma from melanocytic nevi is difficult even for skin cancer specialists. This motivates interest in computer-assisted analysis of lesion images. Objective: Our purpose was to offer fully automatic differentiation of melanoma from dysplastic and other melanocytic nevi through multispectral digital dermoscopy. Method: At 4 clinical centers, images were taken of pigmented lesions suspected of being melanoma before biopsy Ten gray-level (MelaFind) images of each lesion were acquired, each in a different portion of the visible and near-infrared spectrum. The images of 63 melanomas (33 invasive, 30 in situ) and 183 melanocytic nevi (of which 111 were dysplastic) were processed automatically through a computer expert system to separate melanomas from nevi. The expert system used either a linear or a nonlinear classifier. The "gold standard" for training and testing these classifiers was concordant diagnosis by two dermatopathologists. Results: On resubstitution, 100% sensitivity was achieved at 85% specificity with a W-parameter linear classifier and 100%-/73% with a 12-parameter nonlinear classifier. Under leave-one-out cross-validation, the linear classifier gave 100%/84% (sensitivity/specificity), whereas the nonlinear classifier gave 95%/68%. Infrared image features were significant, as were features based on wavelet analysis. Conclusion: Automatic differentiation of invasive and in situ melanomas from melanocytic nevi is feasible, through multispectral digital dermoscopy.
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页码:207 / 218
页数:12
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