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Published in: Respiratory Research 1/2019

Open Access 01-12-2019 | Computed Tomography | Research

Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD

Authors: Mariaelena Occhipinti, Matteo Paoletti, Brian J. Bartholmai, Srinivasan Rajagopalan, Ronald A. Karwoski, Cosimo Nardi, Riccardo Inchingolo, Anna R. Larici, Gianna Camiciottoli, Federico Lavorini, Stefano Colagrande, Vito Brusasco, Massimo Pistolesi

Published in: Respiratory Research | Issue 1/2019

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Abstract

Background

The mechanisms underlying airflow obstruction in COPD cannot be distinguished by standard spirometry. We ascertain whether mathematical modeling of airway biomechanical properties, as assessed from spirometry, could provide estimates of emphysema presence and severity, as quantified by computed tomography (CT) metrics and CT-based radiomics.

Methods

We quantified presence and severity of emphysema by standard CT metrics (VIDA) and co-registration analysis (ImbioLDA) of inspiratory-expiratory CT in 194 COPD patients who underwent pulmonary function testing. According to percentages of low attenuation area below − 950 Hounsfield Units (%LAA-950insp) patients were classified as having no emphysema (NE) with %LAA-950insp < 6, moderate emphysema (ME) with %LAA-950insp ≥ 6 and < 14, and severe emphysema (SE) with %LAA-950insp ≥ 14. We also obtained stratified clusters of emphysema CT features by an automated unsupervised radiomics approach (CALIPER). An emphysema severity index (ESI), derived from mathematical modeling of the maximum expiratory flow-volume curve descending limb, was compared with pulmonary function data and the three CT classifications of emphysema presence and severity as derived from CT metrics and radiomics.

Results

ESI mean values and pulmonary function data differed significantly in the subgroups with different emphysema degree classified by VIDA, ImbioLDA and CALIPER (p < 0.001 by ANOVA). ESI differentiated NE from ME/SE CT-classified patients (sensitivity 0.80, specificity 0.85, AUC 0.86) and SE from ME CT-classified patients (sensitivity 0.82, specificity 0.87, AUC 0.88).

Conclusions

Presence and severity of emphysema in patients with COPD, as quantified by CT metrics and radiomics can be estimated by mathematical modeling of airway function as derived from standard spirometry.
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Metadata
Title
Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD
Authors
Mariaelena Occhipinti
Matteo Paoletti
Brian J. Bartholmai
Srinivasan Rajagopalan
Ronald A. Karwoski
Cosimo Nardi
Riccardo Inchingolo
Anna R. Larici
Gianna Camiciottoli
Federico Lavorini
Stefano Colagrande
Vito Brusasco
Massimo Pistolesi
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Respiratory Research / Issue 1/2019
Electronic ISSN: 1465-993X
DOI
https://doi.org/10.1186/s12931-019-1049-3

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