Ultrahigh-speed endoscopic optical coherence tomography and angiography enables delineation of lateral margins of endoscopic mucosal resection: a case report
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1756283x17739503.pdf
Description
Published version
Size
871.12 KB
Format
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Checksum (MD5)
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Author(s)
Ahsen, Osman Oguz
Lee, Hsiang-Chieh
Liang, Kaicheng
Wang, Zhao
Figueiredo, Marisa
Huang, Qin
Potsaid, Benjamin
Jayaraman, Vijaysekhar
Fujimoto, James G
Mashimo, Hiroshi
Date Issued
November 2017
Journal
Therapeutic Advances in Gastroenterology
Publisher
SAGE Publications
Citation
Ahsen, Osman O. et al. "Ultrahigh-speed endoscopic optical coherence tomography and angiography enables delineation of lateral margins of endoscopic mucosal resection: a case report." Therapeutic Advances in Gastroenterology 10, 12 (November 2017): 931-936
Version
Final published version
Abstract
Endoscopic mucosal resection (EMR) is a common technique for resecting dysplastic lesions in Barrett’s esophagus (BE), stomach, and colon, but precise delineation of dysplastic margins before resection and verification of complete removal after resection remain challenging. Endoscopic optical coherence tomography (OCT) enables three-dimensional visualization of tissue microstructure and is commercially available as Volumetric Laser Endomicroscopy (NinePoint Medical, Bedford, MA, USA). We recently developed an ultrahigh-speed endoscopic OCT system which operates more than 10 times faster than commercial instruments, generating volumetric images with higher transverse resolution and voxel density. This allows visualization of depth-resolved en face mucosal and microvascular patterns (OCT angiography [OCTA]), in addition to cross-sections. A recent study with 32 patients reported 94% sensitivity and 69% specificity for identifying dysplasia on blinded assessment of OCTA images. This current report demonstrates the clinical utility of probe-based, ultrahigh-speed endoscopic OCT and OCTA for assessing a dysplastic lesion at the gastroesophageal junction (GEJ), its lateral margins before and immediately after EMR, and at 2-month follow up.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
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Creative Commons Attribution NonCommercial License 4.0
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DOI of Published Version
https://doi.org/10.1177/1756283x17739503
