Visualization and Validation of The Microstructures in The Airway Wall in vivo Using Diffractive Optical Coherence Tomography.


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
Nov 2022
Historique:
received: 27 09 2021
revised: 22 12 2021
accepted: 09 01 2022
medline: 22 12 2023
pubmed: 15 3 2022
entrez: 14 3 2022
Statut: ppublish

Résumé

At present, there is no available method to study the in vivo microstructures of the airway wall (epithelium, smooth muscle, adventitia, basement membrane, glands, cartilage). Currently, we rely on ex vivo histologic evaluation of airway biopsies. To overcome this obstacle, we have developed an endoscopic ultrahigh-resolution diffractive optical coherence tomography (OCT) system, operating at a wavelength of 800 nm, to non-invasively study the in vivo microstructures of the airway wall. Prior to human study, validation of diffractive OCT's ability to quantitate airway microstructural components is required. To validate and demonstrate the accuracy of this OCT system, we used an ovine model to image small airways (∼ 2 mm in diameter). Histologic samples and correlated OCT images were matched. The cross-sectional area of the airway wall, lumen, and other microstructures were measured and compared. A total of 27 sheep were studied from which we identified 39 paired OCT-histology airway images. We found strong correlations between the OCT and the histology measurements of the airway wall area and the microstructural area measurements of the epithelium, basement membrane, airway smooth muscle, glands, cartilage, and adventitia. The correlations ranged from r=0.61 (p<0.001) for the epithelium to r=0.86 (p<0.001) for the adventitia with the correlation between the OCT and the histology measurements for the entire airway wall of r=0.76 (p<0.001). Given the high degree of correlation, these data validate the ability to acquire and quantify in vivo microscopic level imaging with this newly developed 800nm ultra-high resolution diffractive OCT system.

Identifiants

pubmed: 35282990
pii: S1076-6332(22)00055-1
doi: 10.1016/j.acra.2022.01.008
pmc: PMC9463401
mid: NIHMS1772457
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1623-1630

Subventions

Organisme : NHLBI NIH HHS
ID : F32 HL144121
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA153023
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL121788
Pays : United States
Organisme : NHLBI NIH HHS
ID : T32 HL007534
Pays : United States

Informations de copyright

Copyright © 2022 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

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Auteurs

Jeffrey Thiboutot (J)

Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

Wu Yuan (W)

Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland; Department of Biomedical Engineering and Shun Hing Institute of Advanced Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.

Hyeon-Cheol Park (HC)

Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

Dawei Li (D)

Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

Jeffrey Loube (J)

Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland.

Wayne Mitzner (W)

Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland; Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; Department of Anesthesiology/Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

Lonny Yarmus (L)

Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

Xingde Li (X)

Department of Biomedical Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland.

Robert H Brown (RH)

Division of Pulmonary and Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland; Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland; Department of Anesthesiology/Critical Care Medicine, School of Medicine, Johns Hopkins University, Baltimore, Maryland. Electronic address: rbrown@jhsph.edu.

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Classifications MeSH