Presentation
13 March 2024 Diagnostic evaluation and clinical concordance analysis of label-free photon absorption remote sensing virtual H&E staining in breast core biopsy samples
Author Affiliations +
Abstract
We compared the diagnostic accuracy of label-free Photon Absorption Remote Sensing (PARS) virtual hematoxylin and eosin (H&E) staining to conventional histology in breast cancer core needle biopsy (CNB) samples. Matching PARS virtual H&E and real H&E images were acquired for seven breast CNB samples representing a spectrum of histologies. Seven board certified pathologists, blinded to the image origin, provided diagnostic evaluations of each sample. A kappa concordance analysis was performed and revealed 'substantial' agreement (kappa > 0.6) between the PARS and H&E pairs in primary diagnosis. Pathologists were unable to distinguish the true origin of the PARS virtual H&E images.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James Tweel, Benjamin R. Ecclestone, Hager Gaouda, Deepak Dinakaran, Michael P. Wallace, Gilbert Bigras, John R. Mackey, and Parsin Haji Reza "Diagnostic evaluation and clinical concordance analysis of label-free photon absorption remote sensing virtual H&E staining in breast core biopsy samples", Proc. SPIE PC12831, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XXII, PC1283106 (13 March 2024); https://doi.org/10.1117/12.3001158
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KEYWORDS
Breast

Diagnostics

Biological samples

Biopsy

Light absorption

Photodetectors

Remote sensing

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