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Updated: Sep 30, 2025

Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation
Published on: January 22, 2013
Visualization and Validation of The Microstructures in The Airway Wall in vivo Using Diffractive Optical Coherence
Jeffrey Thiboutot1, Wu Yuan2, Hyeon-Cheol Park3
1Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.
A new endoscopic optical coherence tomography (OCT) system allows non-invasive, in vivo imaging of airway wall microstructures. This validated system accurately quantifies airway components, paving the way for improved diagnostics.
Area of Science:
- Pulmonary Medicine
- Biomedical Engineering
- Optical Imaging
Background:
- Current methods for studying airway wall microstructures rely on invasive ex vivo histological analysis of biopsies.
- There is a need for non-invasive techniques to assess airway wall components in vivo.
Purpose of the Study:
- To validate an endoscopic ultrahigh-resolution diffractive optical coherence tomography (OCT) system for non-invasive, in vivo imaging of airway microstructures.
- To assess the accuracy of the OCT system in quantifying airway wall components.
Main Methods:
- An ovine model was used to image small airways (approximately 2 mm in diameter) with an 800 nm diffractive OCT system.
- Paired OCT images and corresponding histologic samples were analyzed.
- Measurements of airway wall, lumen, and microstructural areas were compared between OCT and histology.
Main Results:
- Strong correlations were observed between OCT and histology measurements for the entire airway wall (r=0.76, p<0.001).
- High correlations were found for individual microstructures, including epithelium (r=0.61, p<0.001) and adventitia (r=0.86, p<0.001).
- 39 paired OCT-histology airway images from 27 sheep were analyzed.
Conclusions:
- The developed 800 nm ultra-high resolution diffractive OCT system is validated for in vivo microscopic imaging.
- The system accurately quantifies airway microstructural components, offering a non-invasive diagnostic tool.
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