MRI Compared with Low-Dose CT for Incidental Lung Nodule Detection in COPD: A Multicenter Trial
Qian Li, Lin Zhu, Oyunbileg von Stackelberg, Simon M. F. Triphan, Jürgen Biederer, Oliver Weinheimer, Monika Eichinger, Claus Vogelmeier, Rudolf A. Jörres, Hans‐Ulrich Kauczor, Claus Peter Heußel, Bertram J. Jobst, Mark O. Wielpütz, on behalf of the COSYCONET Study Group, Stefan Andreas, Robert Bals, Jürgen Behr, Kathrin Kahnert, Thomas Bahmer, Burkhard Bewig, Ralf Ewert, Beate Stubbe, Joachim H. Ficker, Manfred Wagner, Christian Grohé, Matthias Held, Wolfgang Gesierich, Felix Herth, Michael Kreuter, Fanziska Trudzinski, Anne‐Marie Kirsten, Henrik Watz, Andreas Rembert Koczulla, Juliane Kronsbein, Cornelia Kropf-Sanchen, Antonia Sassman-Schweda, Michael Pfeifer, Winfried Randerath, Werner Seeger, Michael Studnicka, Christian Taube, Hartmut Timmermann, Peter Alter, Bernd Schmeck, Claus Vogelmeier, Tobias Welte, Hubert Wirtz
Abstract
Purpose: To investigate morphofunctional chest MRI for the detection and management of incidental pulmonary nodules in participants with chronic obstructive pulmonary disease (COPD). Materials and Methods: test, and agreements were assessed using the Cohen weighted κ. Results: < .001). For Lung-RADS categorization per nodule using MRI, there was substantial to perfect interreader agreement (κ = 0.75-1.00) and intermethod agreement compared with LDCT (κ = 0.70-1.00 and 0.69-1.00). Conclusion: MRI, CT, Thorax, Lung, Chronic Obstructive Pulmonary Disease, Screening© RSNA, 2023