Computer-aided classification of melanocytic lesions using dermoscopic images - 15/10/15
, Jan A. Harkes, MS c, Benjamin Gilbert, MS c, Daniel G. Winger, MS b, Kseniya Golubets, MD, MHS a, Oleg Akilov, MD, PhD a, Mahadev Satyanarayanan, PhD cAbstract |
Background |
Computer-assisted diagnosis of dermoscopic images of skin lesions has the potential to improve melanoma early detection.
Objective |
We sought to evaluate the performance of a novel classifier that uses decision forest classification of dermoscopic images to generate a lesion severity score.
Methods |
Severity scores were calculated for 173 dermoscopic images of skin lesions with known histologic diagnosis (39 melanomas, 14 nonmelanoma skin cancers, and 120 benign lesions). A threshold score was used to measure classifier sensitivity and specificity. A reader study was conducted to compare the sensitivity and specificity of the classifier with those of 30 dermatology clinicians.
Results |
The classifier sensitivity for melanoma was 97.4%; specificity was 44.2% in a test set of images. In the reader study, the classifier's sensitivity to melanoma was higher (P < .001) and specificity was lower (P < .001) than that of clinicians.
Limitations |
This is a retrospective study using existing images primarily chosen for biopsy by a dermatologist. The size of the test set is small.
Conclusions |
Our classifier may aid clinicians in deciding if a skin lesion should be biopsied and can easily be incorporated into a portable tool (that uses no proprietary equipment) that could aid clinicians in noninvasively evaluating cutaneous lesions.
Le texte complet de cet article est disponible en PDF.Key words : basal cell carcinoma, computer-assisted diagnosis, dermoscopy, information technology, machine learning, melanoma, skin cancer
Abbreviations used : BCC, CI, LCB
Plan
| Supported in part by the Clinical and Translational Science Institute at the University of Pittsburgh (National Institutes of Health, grant number UL1-TR-000005), and the Disruptive Health Technologies Institute at Carnegie Mellon University. The funding organizations had no role in the design and conduct of the study; in the collection, analysis, and interpretation of data; or in the preparation of the manuscript, review, or approval of the manuscript. |
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| Disclosure: Dr Ferris has served as a consultant to MelaSciences, Castle Biosciences, and DermTech, International. Mr Harkes, Mr Gilbert, Mr Winger, and Drs Golubets, Akilov, and Satyanarayanan have no conflicts to declare. |
Vol 73 - N° 5
P. 769-776 - novembre 2015 Retour au numéro
Article précédent
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