14
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

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

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          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.

          Electronic supplementary material

          The online version of this article (10.1186/s12931-019-1049-3) contains supplementary material, which is available to authorized users.

          Related collections

          Most cited references22

          • Record: found
          • Abstract: not found
          • Article: not found

          Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. NHLBI/WHO Global Initiative for Chronic Obstructive Lung Disease (GOLD) Workshop summary.

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Lung function testing: selection of reference values and interpretative strategies. American Thoracic Society.

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              CT-based Biomarker Provides Unique Signature for Diagnosis of COPD Phenotypes and Disease Progression

              Chronic obstructive pulmonary disease (COPD) is increasingly being recognized as a highly heterogeneous disorder, composed of varying pathobiology. Accurate detection of COPD subtypes by image biomarkers are urgently needed to enable individualized treatment thus improving patient outcome. We adapted the Parametric Response Map (PRM), a voxel-wise image analysis technique, for assessing COPD phenotype. We analyzed whole lung CT scans of 194 COPD individuals acquired at inspiration and expiration from the COPDGene Study. PRM identified the extent of functional small airways disease (fSAD) and emphysema as well as provided CT-based evidence that supports the concept that fSAD precedes emphysema with increasing COPD severity. PRM is a versatile imaging biomarker capable of diagnosing disease extent and phenotype, while providing detailed spatial information of disease distribution and location. PRMs ability to differentiate between specific COPD phenotypes will allow for more accurate diagnosis of individual patients complementing standard clinical techniques.
                Bookmark

                Author and article information

                Contributors
                mariaelena.occhipinti@unifi.it
                matteo.paoletti@gmail.com
                bartholmai.brian@mayo.edu
                Rajagopalan.Srinivasan@mayo.edu
                karwoski.ronald@mayo.edu
                cosimo.nardi@unifi.it
                r_inchingolo@virgilio.it
                anna.larici@gmail.com
                gianna.camiciottoli@unifi.it
                federico.lavorini@unifi.it
                stefano.colagrande@unifi.it
                vito.brusasco@unige.it
                massimo.pistolesi@unifi.it
                Journal
                Respir Res
                Respir. Res
                Respiratory Research
                BioMed Central (London )
                1465-9921
                1465-993X
                23 May 2019
                23 May 2019
                2019
                : 20
                : 101
                Affiliations
                [1 ]Section of Respiratory Medicine, Department of Experimental and Clinical Medicine, Careggi University Hospital, University of Florence, Largo A Brambilla 3, 50134 Florence, Italy
                [2 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Division of Radiology, , Mayo Clinic Rochester, ; 200 1st St SW, Rochester, MN, 55902 USA
                [3 ]ISNI 0000 0004 0459 167X, GRID grid.66875.3a, Department of Physiology and Biomedical Engineering, , Mayo Clinic Rochester, ; 321 3rd Ave SW, Rochester, MN, 55902 USA
                [4 ]ISNI 0000 0004 1757 2304, GRID grid.8404.8, Section of Radiodiagnostic, Department of Experimental and Clinical Biomedical Sciences, , University of Florence, ; Largo A Brambilla 3, 50134 Florence, Italy
                [5 ]GRID grid.414603.4, Section of Pulmonology, Department of Cardiovascular and Thoracic Sciences, , Fondazione Policlinico Universitario A. Gemelli IRCCS, ; Largo F. Vito 1, 00168 Rome, Italy
                [6 ]GRID grid.414603.4, Department of Radiological Sciences, , Fondazione Policlinico Universitario A. Gemelli IRCCS, ; Largo F. Vito 1, 00168 Rome, Italy
                [7 ]ISNI 0000 0001 2151 3065, GRID grid.5606.5, School of Medical and Pharmaceutical Sciences, , University of Genoa, ; Via Balbi, 5, 16126 Genoa, Italy
                Author information
                http://orcid.org/0000-0003-3324-4063
                Article
                1049
                10.1186/s12931-019-1049-3
                6533715
                31122243
                33a56c5a-2af1-4d6e-b954-1715fdcd72f1
                © 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.

                History
                : 7 February 2019
                : 15 April 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003407, Ministero dell’Istruzione, dell’Università e della Ricerca;
                Award ID: ---
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003196, Ministero della Salute;
                Award ID: ---
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Respiratory medicine
                pulmonary emphysema,copd,small airway disease,respiratory function tests,spirometry,tomography,radiomics,area under curve

                Comments

                Comment on this article