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Digital Pathology in Mohs - Whole-Slide Imaging Feasibility Study

Murphree DH, Kim YH, Sidey KA, et al.
Clin Exp Dermatol (2024)

JC: August 2023

This feasibility study evaluated the use of digital pathology with whole-slide imaging (WSI) in Mohs micrographic surgery workflow. The study assessed diagnostic accuracy, workflow integration, and turnaround time when using WSI for frozen section interpretation during Mohs cases. Results demonstrated high diagnostic accuracy comparable to conventional microscopy, with potential workflow advantages including remote consultation capability and digital archiving. The study represents an important step toward digital transformation of Mohs surgery pathology.

Take-Home Messages

  • •Whole-slide imaging demonstrates diagnostic accuracy comparable to conventional microscopy for Mohs frozen section interpretation.
  • •Digital pathology enables remote consultation and quality assurance capabilities not possible with traditional microscopy.
  • •Implementation challenges include scanning speed for intraoperative use and the need for validated digital pathology platforms.
PubMed →DOI →

Topic

AI & Digital Pathology

Machine learning, digital pathology, AI-assisted diagnosis in Mohs

Abstract

Evaluation of basal cell carcinoma (BCC) involves tangential biopsies of a suspicious lesion that is sent for frozen sections and evaluated by a Mohs micrographic surgeon. Advances in artificial intelligence (AI) have made possible the development of sophisticated clinical decision support systems to provide real-time feedback to clinicians that could have a role in optimizing the diagnostic workup of BCC. There were 287 annotated whole-slide images of frozen sections from tangential biopsies, o

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Literature review only. This summary is an editorial interpretation and may not reflect the complete findings of the original publication. Always refer to the full-text article for clinical decision-making.