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Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD
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 c...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533715/ https://www.ncbi.nlm.nih.gov/pubmed/31122243 http://dx.doi.org/10.1186/s12931-019-1049-3 |
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author | Occhipinti, Mariaelena Paoletti, Matteo Bartholmai, Brian J. Rajagopalan, Srinivasan Karwoski, Ronald A. Nardi, Cosimo Inchingolo, Riccardo Larici, Anna R. Camiciottoli, Gianna Lavorini, Federico Colagrande, Stefano Brusasco, Vito Pistolesi, Massimo |
author_facet | Occhipinti, Mariaelena Paoletti, Matteo Bartholmai, Brian J. Rajagopalan, Srinivasan Karwoski, Ronald A. Nardi, Cosimo Inchingolo, Riccardo Larici, Anna R. Camiciottoli, Gianna Lavorini, Federico Colagrande, Stefano Brusasco, Vito Pistolesi, Massimo |
author_sort | Occhipinti, Mariaelena |
collection | PubMed |
description | 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-019-1049-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6533715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65337152019-05-28 Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD Occhipinti, Mariaelena Paoletti, Matteo Bartholmai, Brian J. Rajagopalan, Srinivasan Karwoski, Ronald A. Nardi, Cosimo Inchingolo, Riccardo Larici, Anna R. Camiciottoli, Gianna Lavorini, Federico Colagrande, Stefano Brusasco, Vito Pistolesi, Massimo Respir Res Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12931-019-1049-3) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-23 2019 /pmc/articles/PMC6533715/ /pubmed/31122243 http://dx.doi.org/10.1186/s12931-019-1049-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Occhipinti, Mariaelena Paoletti, Matteo Bartholmai, Brian J. Rajagopalan, Srinivasan Karwoski, Ronald A. Nardi, Cosimo Inchingolo, Riccardo Larici, Anna R. Camiciottoli, Gianna Lavorini, Federico Colagrande, Stefano Brusasco, Vito Pistolesi, Massimo Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD |
title | Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD |
title_full | Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD |
title_fullStr | Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD |
title_full_unstemmed | Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD |
title_short | Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD |
title_sort | spirometric assessment of emphysema presence and severity as measured by quantitative ct and ct-based radiomics in copd |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6533715/ https://www.ncbi.nlm.nih.gov/pubmed/31122243 http://dx.doi.org/10.1186/s12931-019-1049-3 |
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