TY - JOUR
T1 - Visualization and Validation of The Microstructures in The Airway Wall in vivo Using Diffractive Optical Coherence Tomography
AU - Thiboutot, Jeffrey
AU - Yuan, Wu
AU - Park, Hyeon cheol
AU - Li, Dawei
AU - Loube, Jeffrey
AU - Mitzner, Wayne
AU - Yarmus, Lonny
AU - Li, Xingde
AU - Brown, Robert H.
N1 - Funding Information:
This research was supported in part by the National Institutes of Health (grants R01CA153023 (X.D.L.), R01HL121788 (R.H.B. and X.D.L.), T32HL007534 and F32HL144121 (J.T.), The Wallace H. Coulter Foundation (X.D.L.)
Publisher Copyright:
© 2022 The Association of University Radiologists
PY - 2022/11
Y1 - 2022/11
N2 - Rationale and Objectives: 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. Materials and Methods: 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. Results: 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). Conclusion: 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.
AB - Rationale and Objectives: 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. Materials and Methods: 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. Results: 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). Conclusion: 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.
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U2 - 10.1016/j.acra.2022.01.008
DO - 10.1016/j.acra.2022.01.008
M3 - Article
C2 - 35282990
AN - SCOPUS:85126134511
SN - 1076-6332
VL - 29
SP - 1623
EP - 1630
JO - Academic Radiology
JF - Academic Radiology
IS - 11
ER -