Page 80 - ECBIP 2021_Program

6th European Congress ECBIP 15 - 17
Book of Abstracts
for Bronchology and
Interventional Pulmonology ATHENS - GREECE 2021
OCTOBER
PP52
MODERATED e-POSTER SESSION 08:
Novel Imaging modalities
DETECTION OF THE PULMONARY EXTRACELLULAR MATRIX BY BRONCHOSCOPIC OPTICAL COHERENCE TOMOGRAPHY
Pieta C. Wijsman1, Richard M. van den Elzen2, Lisa H. van Smoorenburg3, Annika M.W. Goorsenberg, Janette K. Burgess3, Martijn C. Nawijn3, Maarten van den Berge3, D. Martin de Bruin2, Jouke T. Annema1, Peter I. Bonta1
1 Department of Respiratory Medicine, Amsterdam UMC, Amsterdam, Netherlands, 2 Amsterdam University Medical Center, University of Amsterdam, Department of Biomedical Engineering & Physics, Amsterdam, Netherland, 3 University of Groningen, University Medical Center Groningen, Groningen Research Institute for Asthma and COPD (GRIAC), Groningen, Netherlands
Introduction: Bronchoscopic optical coherence tomography (OCT) generates high resolution images of the airways. In recent ex vivo studies we have shown that OCT high intensity (HI) areas correspond and correlate with extracellular matrix (ECM) components in the airway wall (Carpaij et al. AJRCCM 2020;202(5):762-6). In this study, first we aimed to improve the algorithm to segment and quantify airway wall ECM automatically, and secondly apply this in both healthy and asthmatic airways in vivo.
Aim: OCT to identify and quantify ECM content in the airway wall.
Methods: Bronchoscopic OCT was performed from distal to proximal airways in 18 severe, 42 mild, asthmatics, and 14 healthy subjects. HI areas of 2665 OCT images reflecting ECM content were automatically detected and quantified. Group comparisons were calculated by one-way ANOVA and Bonferoni post-test.
Results: Segmented HI OCT areas discriminated between healthy, mild and severe asthmatic airways in the larger airways (P<0,01) but not in the smaller airways (P=0,18).
Conclusion: Bronchoscopic OCT allows automatic segmentation and quantification of HI OCT areas reflecting airway ECM.These OCT areas were stepwise more abundant in the more proximal airways of severe asthma patients as compared to mild asthmatics and healthy controls.
Implication: OCT is a promising tool for real-time quantitative assessment of airway remodelling in airways diseases and possible treatment assessment.
Figure 1: A) Segmentation of the OCT images is performed. B) Calculation of high intensity area in an OCT image. C) OCT high intensity areas are plotted per group: healthy subjects (n=14), mild (n=42) and severe asthmatics (n=18); group comparisons were calculated by one-way ANOVA and Bonferoni post-test.
80 6th European Congress for Bronchology and Interventional Pulmonology