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Dataset Information

Optical coherence tomography for identification and quantification of human airway wall layers.


ABSTRACT:

Background

High-resolution computed tomography has limitations in the assessment of airway wall layers and related remodeling in obstructive lung diseases. Near infrared-based optical coherence tomography (OCT) is a novel imaging technique that combined with bronchoscopy generates highly detailed images of the airway wall. The aim of this study is to identify and quantify human airway wall layers both ex-vivo and in-vivo by OCT and correlate these to histology.

Methods

Patients with lung cancer, prior to lobectomy, underwent bronchoscopy including in-vivo OCT imaging. Ex-vivo OCT imaging was performed in the resected lung lobe after needle insertion for matching with histology. Airway wall layer perimeters and their corresponding areas were assessed by two independent observ

SUBMITTER: d'Hooghe JNS 

PROVIDER: S-EPMC5628810 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature