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1.
Am J Dermatopathol ; 44(9): 650-657, 2022 Sep 01.
Article in English | MEDLINE | ID: mdl-35925282

ABSTRACT

OBJECTIVE: The integration of an artificial intelligence tool into pathologists' workflow may lead to a more accurate and timely diagnosis of melanocytic lesions, directly patient care. The objective of this study was to create and evaluate the performance of such a model in achieving clinical-grade diagnoses of Spitz nevi, dermal and junctional melanocytic nevi, and melanomas. METHODS: We created a beginner-level training environment by teaching our algorithm to perform cytologic inferences on 136,216 manually annotated tiles of hematoxylin and eosin-stained slides consisting of unequivocal melanocytic nevi, Spitz nevi, and invasive melanoma cases. We sequentially trained and tested our network to provide a final diagnosis-classification on 39 cases in total. Positive predictive value (precision) and sensitivity (recall) were used to measure our performance. RESULTS: The tile-classification algorithm predicted the 136,216 irrelevant, melanoma, melanocytic nevi, and Spitz nevi tiles at sensitivities of 96%, 93%, 94% and 73%, respectively. The final trained model was able to correctly classify and predict the correct diagnosis in 85.7% of unseen cases (n = 28), reporting at or near screening-level performances for precision and recall of melanoma (76.2%, 100.0%), melanocytic nevi (100.0%, 75.0%), and Spitz nevi (100.0%, 75.0%). CONCLUSIONS: Our pilot study proves that convolutional networks trained on cellular morphology to classify melanocytic proliferations can be used as a powerful tool to assist pathologists in screening for melanoma versus other benign lesions.


Subject(s)
Deep Learning , Melanoma , Nevus, Epithelioid and Spindle Cell , Nevus, Pigmented , Skin Neoplasms , Artificial Intelligence , Diagnosis, Differential , Humans , Melanoma/diagnosis , Melanoma/pathology , Nevus, Epithelioid and Spindle Cell/diagnosis , Nevus, Pigmented/pathology , Pilot Projects , Skin Neoplasms/diagnosis , Skin Neoplasms/pathology , Melanoma, Cutaneous Malignant
3.
Indian Dermatol Online J ; 9(4): 259-261, 2018.
Article in English | MEDLINE | ID: mdl-30050816

ABSTRACT

Eccrine poroma is a benign adnexal tumor that originates from the uppermost portion of the intraepidermal eccrine duct. It usually presents as a solitary tumor. Histopathology shows a monomorphic proliferation of cuboidal cells, which radially extend from the basal layer to the dermis. Here, we present a rare multilesional eruption of eccrine poroma after chemotherapy and bone marrow stem cell transplantation for acute promyelocytic leukemia along with a description of clinical, pathological, and dermoscopic findings.

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