Comparison of Tissue Architectural Changes between Radiofrequency Ablation and Cryospray Ablation in Barrett’s Esophagus Using Endoscopic Three-Dimensional Optical Coherence Tomography
Name
Tsai-2012-Comparison of Tissue.pdf
Size
10.29 MB
Format
Adobe PDF
Checksum (MD5)
19fe2d3e3fa0ff87664533c94cffcd94
Author(s) • • • • • • • • •
Tsai, Tsung-Han
Zhou, Chao
Lee, Hsiang-Chieh
Tao, Yuankai Kenny
Ahsen, Osman Oguz
Figueiredo, Marisa
Adler, Desmond C.
Schmitt, Joseph M.
Huang, Qin
Fujimoto, James G.
Date Issued
January 2012
Journal
Gastroenterology Research and Practice
Publisher
Hindawi Publishing Corporation
Citation
Tsai, Tsung-Han et al. “Comparison of Tissue Architectural Changes Between Radiofrequency Ablation and Cryospray Ablation in Barrett’s Esophagus Using Endoscopic Three-Dimensional Optical Coherence Tomography.” Gastroenterology Research and Practice 2012 (2012): 1–8.
Version
Final published version
Abstract
Two main nonsurgical endoscopic approaches for ablating dysplastic and early cancer lesions in the esophagus have gained popularity, namely, radiofrequency ablation (RFA) and cryospray ablation (CSA). We report a uniquely suited endoscopic and near-microscopic imaging modality, three-dimensional (3D) optical coherence tomography (OCT), to assess and compare the esophagus immediately after RFA and CSA. The maximum depths of architectural changes were measured and compared between the two treatment groups. RFA was observed to induce 230~260
𝜇
m depth of architectural changes after each set of ablations over a particular region, while CSA was observed to induce edema-like spongiform changes to ~640 μm depth within the ablated field. The ability to obtain micron-scale depth-resolved images of tissue structural changes following different ablation therapies makes 3D-OCT an ideal tool to assess treatment efficacy. Such information could be potentially used to provide real-time feedback for treatment dosing and to identify regions that need further retreatment.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Research Laboratory of Electronics
Terms of Use
Creative Commons Attribution
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1155/2012/684832