Comprehensive multi-resolution pathology assessment with surface-tracked scanning

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Authors: David Brenes, Qinghua Han, Rui Wang (52434), Rauf Kareem, Michael C. Topf, Eben Lloyd Rosenthal, Emily J. Marchiano, Emily Palmquist, Faisal Mahmood, Sara Hughes Javid, Suzanne M. Dintzis, Jonathan T.C. Liu
Cited by: 0

Abstract

Surgeons rely primarily on visual and tactile feedback to distinguish between malignant and healthy tissue during an operation, a subjective process that may result in positive margins. More than 20 % of breast surgeries and nearly 40 % of head‑and‑neck resections yield positive margins—defined by tumor cells at the specimen surface—which are associated with inferior outcomes and may necessitate additional treatments (re-resection and/or adjuvant therapies). We hypothesize that for many solid tumors, comprehensive surface microscopy can be performed intraoperatively to rapidly identify positive margins that could spare a patient additional surgeries and/or adjuvant therapies.

Fields of Study & Subjects

AI in cancer detection Optical Imaging and Spectroscopy Techniques Spectroscopy Techniques in Biomedical and Chemical Research

Publication details

Journal / source
Harnessing Light-Based Technologies for Reproductive, Maternal, and Neonatal Health: From Fundamental Discovery to Translation
Pages
44–44
Publication date
5 March 2026
Language
EN