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The <scp>computer‐aided</scp> design margin: Ex vivo <scp>3D</scp> specimen mapping to improve communication between surgeons and pathologists

Kayvon F. Sharif, James S. Lewis, Kim Ely, Mitra Mehrad, Sumit Pruthi, James L. Netterville, Sarah L. Rohde, Alexander Langerman, Kyle Mannion, Robert J. Sinard, Eben L. Rosenthal, Michael C. Topf

2022Head & Neck27 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Numerous challenges exist in determining surgical margin status. Communication between surgeons and pathologists is crucial for specimen orientation and accurate margin assessment. METHODS: A prospective study to determine feasibility of incorporating three-dimensional (3D) scanning into surgical pathology workflow was performed. A structured-light 3D scanner captured the photorealistic surface topography of fresh surgical specimens. Computer-aided design (CAD) software was used to document sites of margin sampling and sectioning. Surveys were distributed among faculty and staff stakeholders to assess feasibility. RESULTS: A series of 40 cases were 3D-scanned. Median image acquisition time was 8 min. The majority of respondents agreed that the experimental 3D system helped achieve clearer communication. 3D specimen maps assisted in the communication of a focally positive or close margin in 4 of 17 cases. CONCLUSIONS: Routine 3D scanning and specimen mapping is feasible and represents an innovative approach to intraoperative and final pathology documentation, margin analysis, and surgeon-pathologist communication.

Topics & Concepts

WorkflowMargin (machine learning)DocumentationScannerMultidetector computed tomographyMedicineComputed tomographyMedical physicsComputer scienceRadiologyArtificial intelligenceDatabaseProgramming languageMachine learningAI in cancer detectionSurgical Simulation and TrainingAnatomy and Medical Technology
The <scp>computer‐aided</scp> design margin: Ex vivo <scp>3D</scp> specimen mapping to improve communication between surgeons and pathologists | Litcius