 |
|
Digital Dermoscopy Analysis for the Differentiation of Atypical Nevi and Early Melanoma
A New Quantitative Semiology
Lucio Andreassi, MD;
Roberto Perotti, MD;
Pietro Rubegni, MD;
Marco Burroni, PhD;
Gabriele Cevenini, PhD;
Maurizio Biagioli, MD;
Paolo Taddeucci, MD;
Giordana Dell'Eva, PhD;
Paolo Barbini, PhD
Arch Dermatol. 1999;135:1459-1465.
Objectives To use a digital dermoscopy analyzer with a series of "borderline" pigmentary skin lesions (ie, clinically atypical nevi and early melanoma) to find correlation between the studied variables and to determine their discriminating power with respect to histological diagnosis.
Design A total of 147 pigmentary skin lesions were histologically examined by 3 experienced dermatopathologists and identified as nevi (n = 90) and melanomas (n = 57). The system evaluated 36 variables to be studied as possible discriminant variables, grouped into 4 categories: geometries, colors, textures, and islands of color.
Setting University medical department.
Patients A sample of patients with excised pigmentary skin lesions (nevi and melanomas).
Main Outcome Measures Sensitivity, specificity, and accuracy of the model for evaluating "borderline" pigmentary skin lesions.
Results After multivariate stepwise discriminant analysis, only 13 variables were selected to compute the canonical discriminant function.
Conclusion The present method made it possible to determine which objective variables are important for distinguishing atypical benign pigmentary skin lesions and early melanoma.
From the Departments of Dermatology (Drs Andreassi, Perotti, Rubegni, Burroni, Biagioli, and Taddeucci) and Cardiac Surgery and Biomedical Technology (Drs Cevenini and Barbini), University of Siena, and Biomedical Engineering Group (Dr Dell'Eva), Siena, Italy.
RELATED ARTICLES
Automated Epiluminescence Microscopy: Human vs Machine in the Diagnosis of Melanoma
Scott W. Menzies
Arch Dermatol. 1999;135(12):1538-1540.
EXTRACT
| FULL TEXT
Archives of Dermatology Reader's Choice: Continuing Medical Education
Arch Dermatol. 1999;135(12):1569-1570.
FULL TEXT
THIS ARTICLE HAS BEEN CITED BY OTHER ARTICLES
|
The Role of Dermoscopy and Digital Dermoscopy Analysis in the Diagnosis of Pigmented Skin Lesions
Rubegni et al.
Arch Dermatol 2005;141:1444-1446.
FULL TEXT
Melanoma Computer-Aided Diagnosis: Reliability and Feasibility Study
Burroni et al.
Clin. Cancer Res. 2004;10:1881-1886.
ABSTRACT
| FULL TEXT
Accuracy of Computer Diagnosis of Melanoma: A Quantitative Meta-analysis
Rosado et al.
Arch Dermatol 2003;139:361-367.
ABSTRACT
| FULL TEXT
Improved Identification of Potentially Dangerous Pigmented Skin Lesions by Computerized Image Analysis
Jamora et al.
Arch Dermatol 2003;139:195-198.
ABSTRACT
| FULL TEXT
Dermoscopy of Pigmented Seborrheic Keratosis: A Morphological Study
Braun et al.
Arch Dermatol 2002;138:1556-1560.
ABSTRACT
| FULL TEXT
Melanoma Diagnosis by Computerized Analysis of Clinical Images
Lambert et al.
Arch Dermatol 2001;137:377-377.
FULL TEXT
Epiluminescence Microscopy: A Reevaluation of Its Purpose
Bystryn
Arch Dermatol 2001;137:377-378.
FULL TEXT
|
