title: Evaluation of digital dermoscopy in a pigmented lesion clinic: clinician versus computer assessment of malignancy risk.
abstract: Digital dermoscopy systems employ computer-based algorithms to quantitate features of pigmented skin lesions (PSLs) and provide an assessment of malignancy risk. We evaluated interobserver concordance of PSL malignancy risk between a pigmented lesion specialist and an artificial neural network (ANN)-based automated digital dermoscopy system. While digital dermoscopy provides a reliable means of image capture, storage, and comparison of PSLs over time, the ANN algorithm requires further training and validation before the malignancy risk assessment feature can be widely used in clinical practice.
authors.affiliation: Department of Dermatology, Pigmented Lesion and Cutaneous Melanoma Clinic, Stanford University Medical Center, California 94305, USA.
authors.forename: Jennifer C
authors.initials: JC
authors.lastname: Boldrick
authors.forename: Christle J
authors.initials: CJ
authors.lastname: Layton
authors.forename: Josephine
authors.initials: J
authors.lastname: Nguyen
authors.forename: Susan M
authors.initials: SM
authors.lastname: Swetter
mesh_terms: D000328:Adult; D000465:Algorithms; D003880:Dermatology / Q000379:methods; D046169:Dermoscopy / Q000592:standards*; D003936:Diagnosis, Computer-Assisted / Q000592:standards*; D005260:Female; D006801:Humans; D008297:Male; D016571:Neural Networks, Computer; D015588:Observer Variation; D018570:Risk Assessment / Q000379:methods; D012871:Skin Diseases / Q000473:pathology*; D012878:Skin Neoplasms / Q000473:pathology*; D012880:Skin Pigmentation