ORIGINAL RESEARCH

Efficacy of smartphone-compatible optical instrument for assessing melanocytic nevi for malignancy

Gaydina TA, Dvornikova EG
About authors

Pirogov Russian National Research Medical University, Moscow, Russia

Correspondence should be addressed: Tatiana A. Gaydina
Ostrovityanova, 1, Moscow, 117997; ur.xednay@924cod

About paper

Compliance with ethical standards: the study was approved by the Ethics Committee of Pirogov Russian National Research Medical University (Protocol № 201 dated October 21, 2020); all patients gave voluntary consent to surgery.

Author contribution: both authors equally contributed to this manuscript.

Received: 2020-09-11 Accepted: 2020-09-25 Published online: 2020-10-27
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Early detection of melanocytic nevus progression to malignant melanoma is a pressing concern. Traditionally, patients with multiple melanocytic nevi (MMN) are monitored for extended periods of time and excisional biopsies are performed on individual suspicious melanocytic nevi (MN). This approach is costly and tremendously time-consuming for both doctors and patients. The aim of this study was to evaluate the efficacy of a smartphone-compatible optical instrument in the assessment of MN for malignancy. Seven patients aged 43 to 65 years with MMN on the trunk and upper/lower extremities were followed-up for 4 years. Dermoscopy images of MN were taken and analyzed using a Handyscope smartphone-compatible optical system operated at 20x magnification and a Handyscope3 application. A total of 74 MN were surgically removed during the follow-up period. None of the patients had melanoma. The results of dermoscopy image analysis generated by the convolutional neural network coincided with histopathology findings in all cases. The optical Handyscope system demonstrated its efficacy in assessing MN for malignancy. AI can be used for primary screening of MMN dermoscopy images. However, histopathological verification of the diagnosis is still needed.

Keywords: artificial intelligence, melanocytic nevus, mobile application, skin biopsy, early melanoma detection

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