Quantification of pulmonary perfusion abnormalities using DCE-MRI in COPD

• Verfasst von: Konietzke, Marilisa [VerfasserIn]
• Verfasst von: Triphan, Simon M. F. [VerfasserIn]
• Verfasst von: Biederer, Jürgen [VerfasserIn]
• Verfasst von: Weinheimer, Oliver [VerfasserIn]
• Verfasst von: Eichinger, Monika [VerfasserIn]
• Verfasst von: Vogelmeier, Claus F. [VerfasserIn]
• Verfasst von: Jörres, Rudolf [VerfasserIn]
• Verfasst von: Kauczor, Hans-Ulrich [VerfasserIn]
• Verfasst von: Heußel, Claus Peter [VerfasserIn]
• Verfasst von: Konietzke, Philip [VerfasserIn]
• Verfasst von: Stackelberg, Oyunbileg von [VerfasserIn]
• Verfasst von: Risse, Frank [VerfasserIn]
• Verfasst von: Jobst, Bertram [VerfasserIn]
• Verfasst von: Wielpütz, Mark Oliver [VerfasserIn]
• Titel: Quantification of pulmonary perfusion abnormalities using DCE-MRI in COPD
• Titelzusatz: comparison with quantitative CT and pulmonary function
• Verf.angabe: Marilisa Schiwek, Simon M. F. Triphan, Jürgen Biederer, Oliver Weinheimer, Monika Eichinger, Claus F. Vogelmeier, Rudolf A. Jörres, Hans-Ulrich Kauczor, Claus P. Heußel, Philip Konietzke, Oyunbileg von Stackelberg, Frank Risse, Bertram J. Jobst, Mark O. Wielpütz, on behalf of the COSYCONET study group
• Jahr: 2022
• Umfang: 12 S.
• Fussnoten: Online veröffentlicht: 22. September 2021, korrigierte Version 2022 ; Gesehen am 21.08.2023
• Titel Quelle: Enthalten in: European radiology
• Ort Quelle: Berlin : Springer, 1991
• Jahr Quelle: 2022
• Band/Heft Quelle: 32(2022), 3, Seite 1879-1890
• ISSN Quelle: 1432-1084
• ISSN Quelle: 1613-3757
• DOI: doi:10.1007/s00330-021-08229-6
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1856798097
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Objectives  Pulmonary perfusion abnormalities are prevalent in patients with chronic obstructive pulmonary disease (COPD), are potentially reversible, and may be associated with emphysema development. Therefore, we aimed to evaluate the clinical meaningfulness of perfusion defects in percent (QDP) using DCE-MRI. - Methods  We investigated a subset of baseline DCE-MRIs, paired inspiratory/expiratory CTs, and pulmonary function testing (PFT) of 83 subjects (age = 65.7 ± 9.0 years, patients-at-risk, and all GOLD groups) from one center of the “COSYCONET” COPD cohort. QDP was computed from DCE-MRI using an in-house developed quantification pipeline, including four different approaches: Otsu’s method, k-means clustering, texture analysis, and ­80th percentile threshold. QDP was compared with visual MRI perfusion scoring, CT parametric response mapping (PRM) indices of emphysema (­PRMEmph) and functional small airway disease (­PRMfSAD), and FEV1/FVC from PFT. - Results  All QDP approaches showed high correlations with the MRI perfusion score (r = 0.67 to 0.72, p < 0.001), with the highest association based on Otsu’s method (r = 0.72, p < 0.001). QDP correlated significantly with all PRM indices (p < 0.001), with the strongest correlations with ­PRMEmph (r = 0.70 to 0.75, p < 0.001). QDP was distinctly higher than ­PRMEmph (mean difference = 35.85 to 40.40) and ­PRMfSAD (mean difference = 15.12 to 19.68), but in close agreement when combining both PRM indices (mean difference = 1.47 to 6.03) for all QDP approaches. QDP correlated moderately with FEV1/FVC (r = − 0.54 to − 0.41, p < 0.001). - Conclusion  QDP is associated with established markers of disease severity and the extent corresponds to the CT-derived combined extent of ­PRMEmph and ­PRMfSAD. We propose to use QDP based on Otsu’s method for future clinical studies in COPD. Key Points  • QDP quantified from DCE-MRI is associated with visual MRI perfusion score, CT PRM indices, and PFT. • The extent of QDP from DCE-MRI corresponds to the combined extent of PRMEmph and PRMfSAD from CT. • Assessing pulmonary perfusion abnormalities using DCE-MRI with QDP improved the correlations with CT PRM indices and PFT compared to the quantification of pulmonary blood flow and volume.