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

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

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article number101
JournalRespiratory Research
Volume20
Issue number1
DOIs
StatePublished - May 23 2019

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Emphysema
Chronic Obstructive Pulmonary Disease
Tomography
Spirometry
Lung
Area Under Curve
Sensitivity and Specificity

Keywords

  • Area under curve
  • COPD
  • Pulmonary emphysema
  • Radiomics
  • Respiratory function tests
  • Small airway disease
  • Spirometry
  • Tomography

ASJC Scopus subject areas

  • Pulmonary and Respiratory Medicine

Cite this

Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD. / Occhipinti, Mariaelena; Paoletti, Matteo; Bartholmai, Brian Jack; Rajagopalan, Srinivasan; Karwoski, Ronald A.; Nardi, Cosimo; Inchingolo, Riccardo; Larici, Anna R.; Camiciottoli, Gianna; Lavorini, Federico; Colagrande, Stefano; Brusasco, Vito; Pistolesi, Massimo.

In: Respiratory Research, Vol. 20, No. 1, 101, 23.05.2019.

Research output: Contribution to journalArticle

Occhipinti, M, Paoletti, M, Bartholmai, BJ, Rajagopalan, S, Karwoski, RA, Nardi, C, Inchingolo, R, Larici, AR, Camiciottoli, G, Lavorini, F, Colagrande, S, Brusasco, V & Pistolesi, M 2019, 'Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD', Respiratory Research, vol. 20, no. 1, 101. https://doi.org/10.1186/s12931-019-1049-3
Occhipinti, Mariaelena ; Paoletti, Matteo ; Bartholmai, Brian Jack ; 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. In: Respiratory Research. 2019 ; Vol. 20, No. 1.
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T1 - Spirometric assessment of emphysema presence and severity as measured by quantitative CT and CT-based radiomics in COPD

AU - Occhipinti, Mariaelena

AU - Paoletti, Matteo

AU - Bartholmai, Brian Jack

AU - Rajagopalan, Srinivasan

AU - Karwoski, Ronald A.

AU - Nardi, Cosimo

AU - Inchingolo, Riccardo

AU - Larici, Anna R.

AU - Camiciottoli, Gianna

AU - Lavorini, Federico

AU - Colagrande, Stefano

AU - Brusasco, Vito

AU - Pistolesi, Massimo

PY - 2019/5/23

Y1 - 2019/5/23

N2 - 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.

AB - 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.

KW - Area under curve

KW - COPD

KW - Pulmonary emphysema

KW - Radiomics

KW - Respiratory function tests

KW - Small airway disease

KW - Spirometry

KW - Tomography

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