Jens Thomas Bakker, Jorine E. Hartman, Karin Klooster, David A. Lynch, Marieke C. Van Der Molen, Jean-Paul Charbonnier, Michail Tsiaousis, Rozemarijn Vliegenthart, Dirk-Jan Slebos
{"title":"Late Breaking Abstract - CT-based diaphragm analysis to evaluate the diaphragm configuration with increasing COPD severity","authors":"Jens Thomas Bakker, Jorine E. Hartman, Karin Klooster, David A. Lynch, Marieke C. Van Der Molen, Jean-Paul Charbonnier, Michail Tsiaousis, Rozemarijn Vliegenthart, Dirk-Jan Slebos","doi":"10.1183/13993003.congress-2023.pa3543","DOIUrl":null,"url":null,"abstract":"<b>Introduction</b> The relation between the degree of diaphragm flattening and lung function impairment in COPD remains largely unknown. We aim to develop a CT-based diaphragm analysis tool to investigate the association between diaphragm configuration and pulmonary function in COPD. <b>Methods</b> We developed a CT-based diaphragm analysis tool based on: 1) identification of the pulmonary lobes using an AI-based lung quantification platform (LungQ, Thirona, Nijmegen, The Netherlands), 2) extraction of a 3D-shape map of the lung-diaphragm intersection (Figure 1A), and 3) calculation of a diaphragm index (ratio of diaphragm surface area/projected surface area). Inspiratory CT scans from the first phase of the COPDGene study (n=9567) were used to evaluate the relation between the automatically extracted diaphragm index and FEV1 %-predicted, GOLD stages, and CT quantified emphysema (LAA<-950) (Figure 1). <b>Results</b> We found a significant association between the diaphragm index and emphysema (Figure 1C), FEV1 %- predicted (Figure 1D), and the COPD GOLD stages (Figure 1B). <b>Conclusions</b> With an in-house developed, automatic CT-based diaphragm analysis tool, we showed significant differences in diaphragm configuration relative to pulmonary function in COPD.","PeriodicalId":34850,"journal":{"name":"Imaging","volume":"14 1","pages":"0"},"PeriodicalIF":0.7000,"publicationDate":"2023-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1183/13993003.congress-2023.pa3543","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction The relation between the degree of diaphragm flattening and lung function impairment in COPD remains largely unknown. We aim to develop a CT-based diaphragm analysis tool to investigate the association between diaphragm configuration and pulmonary function in COPD. Methods We developed a CT-based diaphragm analysis tool based on: 1) identification of the pulmonary lobes using an AI-based lung quantification platform (LungQ, Thirona, Nijmegen, The Netherlands), 2) extraction of a 3D-shape map of the lung-diaphragm intersection (Figure 1A), and 3) calculation of a diaphragm index (ratio of diaphragm surface area/projected surface area). Inspiratory CT scans from the first phase of the COPDGene study (n=9567) were used to evaluate the relation between the automatically extracted diaphragm index and FEV1 %-predicted, GOLD stages, and CT quantified emphysema (LAA<-950) (Figure 1). Results We found a significant association between the diaphragm index and emphysema (Figure 1C), FEV1 %- predicted (Figure 1D), and the COPD GOLD stages (Figure 1B). Conclusions With an in-house developed, automatic CT-based diaphragm analysis tool, we showed significant differences in diaphragm configuration relative to pulmonary function in COPD.