Smartphone Apps Vary in Accuracy in Judging Melanoma Risk
(HealthDay News) – The diagnostic accuracy of smartphone applications that analyze photos of pigmented skin lesions for melanoma risk is highly variable and incorrectly classifies about a third of melanomas as benign, according to a study published in the April issue of JAMA Dermatology.
Joel A. Wolf, from the University of Pittsburgh, and colleagues compared the diagnostic accuracy of four smartphone applications that evaluate photographs of skin lesions and provide feedback about the likelihood of malignancy with a histologic diagnosis from a dermatopathologist. Sixty melanomas and 128 benign control lesions were assessed.
The researchers found that sensitivity ranged from 6.8–98.1%; specificity ranged from 30.4–93.7%; positive predictive value ranged from 33.3–42.1%; and negative predictive value ranged from 65.4–97%. An application that sent the image to a dermatologist for analysis was most sensitive, while applications that analyzed images with automated algorithms were least sensitive.
"The performance of smartphone applications in assessing melanoma risk is highly variable, and three of four smartphone applications incorrectly classified 30% or more of melanomas as unconcerning," Wolf and colleagues write.
One author disclosed being an investigator and consultant for MELA Sciences.