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Analysis of conventional swept-source OCT of subglottic stenosis in a rabbit model

Authors :
Hamamoto, A
Kollias, Nikiforos1
Choi, Bernard
Zeng, Haishan
Kang, Hyun Wook
Knudsen, Bodo E
Wong, Brian J
Ilgner, Justus F
Suter, Melissa J
Lam, Stephen
Brenner, Matthew
Gregory, Kenton W
Tearney, Guillermo J
Marcu, Laura
Hirschberg, Henry
Madsen, Steen J
Mahadevan-Jansen, Anita
Jansen, E Duco
Mandelis, Andreas
Morris, Michael D
Hamamoto, A
Su, E
Peaks, YS
Chen, Z
Wong, BJF
Hamamoto, A
Kollias, Nikiforos1
Choi, Bernard
Zeng, Haishan
Kang, Hyun Wook
Knudsen, Bodo E
Wong, Brian J
Ilgner, Justus F
Suter, Melissa J
Lam, Stephen
Brenner, Matthew
Gregory, Kenton W
Tearney, Guillermo J
Marcu, Laura
Hirschberg, Henry
Madsen, Steen J
Mahadevan-Jansen, Anita
Jansen, E Duco
Mandelis, Andreas
Morris, Michael D
Hamamoto, A
Su, E
Peaks, YS
Chen, Z
Wong, BJF
Publication Year :
2013

Abstract

Acquired subglottic stenosis is a narrowing of the airway caused by prolonged endotracheal intubation. Currently, there are no non-invasive means to diagnose the disease. A previous study by this same group introduced optical coherence tomography (OCT) as a means of monitoring the progression of stenosis. The aim of the current study was to qualitatively and quantitatively analyze OCT images obtained from a subglottic stenosis model of the rabbit airway. 15 rabbits were used throughout the study, and a MEMs based OCT probe was utilized. The OCT images obtained were analyzed using a free software program, 3D Slicer. The region of scarred tissue was grown out and measured quantitatively. This study demonstrated the feasibility of using a program to quantify the progression of scarring in OCT images, in addition to qualitatively correlating between histology, endoscopic, and OCT images. Future works may include utilization of a long-range probe and use of a pressure necrosis model to better emulate the actual onset of neonatal subglottic stenosis. © 2013 SPIE.

Details

Database :
OAIster
Notes :
application/pdf
Publication Type :
Electronic Resource
Accession number :
edsoai.on1367378877
Document Type :
Electronic Resource