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2018

Automated diagnosis of colon cancer using hyperspectral sensing


Abstract

Background: Surgical management of colorectal cancer relies on accurate identification of tumor and possible metastatic disease. Hyperspectral (HS) sensing is a passive, non‐ionizing diagnostic method that has been considered for multiple tumor types. The ability to use HS for identification of tumor specimens during surgical resection of colorectal cancers was explored. Methods: Patients with colorectal cancer who underwent operative resection were enrolled. HS measurements were performed both intra‐ and extra‐luminally. Spectral results were correlated with pathologic evaluation. Results: Fifteen patient specimens were analyzed. For patients with confirmed colorectal cancer, extraluminal spectra analysis yielded 61.68% sensitivity with 90% specificity. For intraluminal specimens, sensitivity increased to 91.97% with 90% specificity. Conclusions: Hyperspectral sensing can reliably detect tumors in resected colon specimens. This research offers promising results for a diagnostic technology that is non‐ionizing and does not require the use of contrast agents to achieve accurate colorectal cancer detection.

Citation

article: Beaulieu_2018 doi: 10.1002/rcs.1897 url: https://doi.org/10.1002/rcs.1897 year: 2018 month: feb publisher: Wiley volume: 14 number: 3 pages: e1897 author: Beaulieu Robert J. and Goldstein Seth D. and Singh Jasvinder and Safar Bashar and Banerjee Amit and Ahuja Nita title: Automated diagnosis of colon cancer using hyperspectral sensing journal: The International Journal of Medical Robotics and Computer Assisted Surgery

Citation

article: Beaulieu_2018 doi: 10.1002/rcs.1897 url: https://doi.org/10.1002/rcs.1897 year: 2018 month: feb publisher: Wiley volume: 14 number: 3 pages: e1897 author: Beaulieu Robert J. and Goldstein Seth D. and Singh Jasvinder and Safar Bashar and Banerjee Amit and Ahuja Nita title: Automated diagnosis of colon cancer using hyperspectral sensing journal: The International Journal of Medical Robotics and Computer Assisted Surgery