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13 March 2024 Hyperspectral and auto-fluorescence imaging show promise for detection of esophageal cancer
Natzem A. Lima, Travis W. Sawyer, Justina Bonaventura, Aws Alameri, Shivanand Bomman, Bhaskar Banerjee, Hemanth Gavini, Joshua Routh
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Proceedings Volume PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024; PC128540G (2024) https://doi.org/10.1117/12.3001730
Event: SPIE BiOS, 2024, San Francisco, California, United States
Abstract
Esophageal cancer’s increasing prevalence coupled with a 5-year average survival rate below 20% due largely to late detection indicates a significant need for improved imaging tools that can detect and localize early, unseen lesions and be incorporated into endoscopy for screening and evaluation of early symptoms. While white light imaging or virtual chromoendoscopy contrast-enhancement techniques like narrow-band imaging have largely seen commercialization, there remain emerging label-free imaging-based techniques that show promise for improving diagnosis and biopsy guidance. Among them we investigate the clinical potential of hyperspectral (HSI) and autofluorescence imaging (AFI) which lend themselves well to implementation in an endoscopic system. We performed ex-vivo imaging on esophageal biopsies suspicious for carcinoma (N=11) and/or Barrett’s esophagus (N=6) and adjacent normal appearing squamous mucosa in the same patient as controls. Our results indicate AFI and HSI are both promising imaging modalities for detecting and localizing morphological and metabolic changes associated with esophageal cancer.
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(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Natzem A. Lima, Travis W. Sawyer, Justina Bonaventura, Aws Alameri, Shivanand Bomman, Bhaskar Banerjee, Hemanth Gavini, and Joshua Routh "Hyperspectral and auto-fluorescence imaging show promise for detection of esophageal cancer", Proc. SPIE PC12854, Label-free Biomedical Imaging and Sensing (LBIS) 2024, PC128540G (13 March 2024); https://doi.org/10.1117/12.3001730
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KEYWORDS
Cancer detection
Cancer
Autofluorescence imaging
Hyperspectral imaging
Endoscopy
Biopsy
Equipment
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