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Utilizing <scp>3D</scp> head and neck specimen scanning for intraoperative margin discussions: Proof of concept of our novel approach

Michael Saturno, Margaret Brandwein‐Weber, Lily Greenberg, Alex M. Silberzweig, Daniel Buchbinder, Eric M. Dowling, Mohemmed N. Khan, Raymond L. Chai, Mark L. Urken

2022Head & Neck24 citationsDOI

Abstract

BACKGROUND: The current standard of documenting and communicating frozen section margin results is inefficient. We present a novel method of generating 3D digital models of gross tumor specimens to more clearly visualize histopathological margin results. METHODS: Fifty-five head and neck specimens were scanned and virtually "inked" using 3D software. These 3D specimen maps were displayed in the operating room to provide the surgeon with a real-time specimen-to-defect relationship by which further resections could be guided. RESULTS: Margin results were reported within an average of 34 min using the proposed workflow. The scanner rendered accurate models of specimens that exceeded 3.0 × 3.0 × 3.0 cm. Critical specimen features to consider were size, color, textural complexity, and the presence of discernible anatomic landmarks. CONCLUSIONS: Optical 3D scanning technology can improve the quality of head and neck margin documentation and the efficiency with which results are communicated between the pathologist and surgeon.

Topics & Concepts

Margin (machine learning)ScannerHead and neckWorkflowComputer scienceProof of conceptBiomedical engineeringMedicineComputer graphics (images)Artificial intelligenceSurgeryMachine learningDatabaseOperating systemSurgical Simulation and TrainingAnatomy and Medical TechnologyAI in cancer detection
Utilizing <scp>3D</scp> head and neck specimen scanning for intraoperative margin discussions: Proof of concept of our novel approach | Litcius