Mircea Gabriel Stoleriu,1,2,* Michael Pienn,3,4,* Rudolf A Joerres,5 Peter Alter,6 Tamas Fero,7 Martin Urschler,8 Gabor Kovacs,3,9 Horst Olschewski,3,9 Hans-Ulrich Kauczor,7,10 Mark Wielpütz,7,10 Bertram Jobst,7,10 Tobias Welte,11 Jürgen Behr,2,12 Franziska C Trudzinski,10,13 Robert Bals,14,15 Henrik Watz,16 Claus F Vogelmeier,6 Jürgen Biederer,10,17,18,* Kathrin Kahnert2,12,19,* On behalf of the COSYCONET Study Group1Division for Thoracic Surgery Munich, Ludwig-Maximilians-University of Munich (LMU) and Asklepios Medical Center; Munich-Gauting, Gauting, 82131, Germany; 2Institute for Lung Health and Immunity and Comprehensive Pneumology Center with the CPC-M bioArchive; Helmholtz Center Munich; Member of the German Lung Research Center (DZL), Munich, 81377, Germany; 3Ludwig Boltzmann Institute for Lung Vascular Research, Graz, Austria; 4Division of Pulmonology, Department of Internal Medicine, Medical University of Graz, Graz, Austria; 5Institute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Hospital of Ludwig-Maximilians-University Munich (LMU), Munich, 80336, Germany; 6Department of Medicine, Pulmonary and Critical Care Medicine, University of Marburg (UMR), Member of the German Center for Lung Research (DZL), Marburg, 35033, Germany; 7Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany; 8Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria; 9University Clinic for Internal Medicine, Medical University of Graz, Division of Pulmonology, Graz, Austria; 10Translational Lung Research Center Heidelberg, Member of the German Center for Lung Research DZL, Heidelberg, Germany; 11Department of Respiratory Medicine and Infectious Disease, Member of the German Center of Lung Research, Hannover School of Medicine, Hannover, Germany; 12Department of Medicine V, LMU University Hospital, LMU Munich, Member of the German Center for Lung Research (DZL), Munich, Germany; 13Department of Pneumology and Critical Care Medicine, Thoraxklinik, University of Heidelberg, Heidelberg, Germany; 14Department of Internal Medicine V-Pulmonology, Allergology and Respiratory Critical Care Medicine, Saarland University, Homburg, 66421, Germany; 15Helmholtz Institute for Pharmaceutical Research, Saarbrücken, 66123, Germany; 16Pulmonary Research Institute at LungenClinic Grosshansdorf, Airway Research Centre North, German Centre for Lung Research, Großhansdorf, Germany; 17Faculty of Medicine, Christian-Albrechts-Universität Zu Kiel, Kiel, Germany; 18University of Latvia, Faculty of Medicine, Riga, LV-1586, Latvia; 19MediCenterGermering, Germering, Germany*These authors contributed equally to this workCorrespondence: Mircea Gabriel Stoleriu, Division of Thoracic Surgery Munich, Ludwig-Maximilians-University of Munich (LMU) and Asklepios Lung Clinic Munich-Gauting, Marchioninistr. 15, 81377 Munich and Robert-Koch-Allee 2, Gauting, 82131, Germany, Tel +49 89 85791 4201, Email [email protected]: The aim of this study was to evaluate the association between computed tomography (CT) quantitative pulmonary vessel morphology and lung function, disease severity, and mortality risk in patients with chronic obstructive pulmonary disease (COPD).Patients and Methods: Participants of the prospective nationwide COSYCONET cohort study with paired inspiratory-expiratory CT were included. Fully automatic software, developed in-house, segmented arterial and venous pulmonary vessels and quantified volume and tortuosity on inspiratory and expiratory scans. The association between vessel volume normalised to lung volume and tortuosity versus lung function (forced expiratory volume in 1 sec [FEV1]), air trapping (residual volume to total lung capacity ratio [RV/TLC]), transfer factor for carbon monoxide (TLCO), disease severity in terms of Global Initiative for Chronic Obstructive Lung Disease (GOLD) group D, and mortality were analysed by linear, logistic or Cox proportional hazard regression.Results: Complete data were available from 138 patients (39% female, mean age 65 years). FEV1, RV/TLC and TLCO, all as % predicted, were significantly (p < 0.05 each) associated with expiratory vessel characteristics, predominantly venous volume and arterial tortuosity. Associations with inspiratory vessel characteristics were absent or negligible. The patterns were similar for relationships between GOLD D and mortality with vessel characteristics. Expiratory venous volume was an independent predictor of mortality, in addition to FEV1.Conclusion: By using automated software in patients with COPD, clinically relevant information on pulmonary vasculature can be extracted from expiratory CT scans (although not inspiratory scans); in particular, expiratory pulmonary venous volume predicted mortality.Trial Registration: NCT01245933.Keywords: COPD, computed tomography, pulmonary vasculature, vessel volume, vessel tortuosity, lung functio