Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging
IntroductionDue to hypoxic vasoconstriction, perfusion is interesting in the lungs. Magnetic Resonance Imaging (MRI) perfusion imaging based on Dynamic Contrast Enhancement (DCE) has been demonstrated in patients with Chronic Obstructive Pulmonary Diseases (COPD) using visual scores, and quantificat...
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Frontiers Media S.A.
2024-01-01
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1254003/full |
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| author | Simon M. F. Triphan Simon M. F. Triphan Marilisa Konietzke Marilisa Konietzke Marilisa Konietzke Jürgen Biederer Jürgen Biederer Jürgen Biederer Jürgen Biederer Monika Eichinger Monika Eichinger Monika Eichinger Claus F. Vogelmeier Rudolf A. Jörres Hans-Ulrich Kauczor Hans-Ulrich Kauczor Hans-Ulrich Kauczor Claus P. Heußel Claus P. Heußel Bertram J. Jobst Bertram J. Jobst Bertram J. Jobst Mark O. Wielpütz Mark O. Wielpütz Mark O. Wielpütz on behalf of the COSYCONET study group |
| author_facet | Simon M. F. Triphan Simon M. F. Triphan Marilisa Konietzke Marilisa Konietzke Marilisa Konietzke Jürgen Biederer Jürgen Biederer Jürgen Biederer Jürgen Biederer Monika Eichinger Monika Eichinger Monika Eichinger Claus F. Vogelmeier Rudolf A. Jörres Hans-Ulrich Kauczor Hans-Ulrich Kauczor Hans-Ulrich Kauczor Claus P. Heußel Claus P. Heußel Bertram J. Jobst Bertram J. Jobst Bertram J. Jobst Mark O. Wielpütz Mark O. Wielpütz Mark O. Wielpütz on behalf of the COSYCONET study group |
| author_sort | Simon M. F. Triphan |
| collection | DOAJ |
| description | IntroductionDue to hypoxic vasoconstriction, perfusion is interesting in the lungs. Magnetic Resonance Imaging (MRI) perfusion imaging based on Dynamic Contrast Enhancement (DCE) has been demonstrated in patients with Chronic Obstructive Pulmonary Diseases (COPD) using visual scores, and quantification methods were recently developed further. Inter-patient correlations of echo time-dependent observed T1 [T1(TE)] have been shown with perfusion scores, pulmonary function testing, and quantitative computed tomography. Here, we examined T1(TE) quantification and quantitative perfusion MRI together and investigated both inter-patient and local correlations between T1(TE) and quantitative perfusion.Methods22 patients (age 68.0 ± 6.2) with COPD were examined using morphological MRI, inversion recovery multi-echo 2D ultra-short TE (UTE) in 1–2 slices for T1(TE) mapping, and 4D Time-resolved angiography With Stochastic Trajectories (TWIST) for DCE. T1(TE) maps were calculated from 2D UTE at five TEs from 70 to 2,300 μs. Pulmonary Blood Flow (PBF) and perfusion defect (QDP) maps were produced from DCE measurements. Lungs were automatically segmented on UTE images and morphological MRI and these segmentations registered to DCE images. DCE images were separately registered to UTE in corresponding slices and divided into corresponding subdivisions. Spearman’s correlation coefficients were calculated for inter-patient correlations using the entire segmented slices and for local correlations separately using registered images and subdivisions for each TE. Median T1(TE) in normal and defect areas according to QDP maps were compared.ResultsInter-patient correlations were strongest on average at TE2 = 500 μs, reaching up to |ρ| = 0.64 for T1 with PBF and |ρ| = 0.76 with QDP. Generally, local correlations of T1 with PBF were weaker at TE2 than at TE1 or TE3 and with maximum values of |ρ| = 0.66 (from registration) and |ρ| = 0.69 (from subdivision). In 18 patients, T1 was shorter in defect areas than in normal areas, with the relative difference smallest at TE2.DiscussionThe inter-patient correlations of T1 with PBF and QDP found show similar strength and TE-dependence as those previously reported for visual perfusion scores and quantitative computed tomography. The local correlations and median T1 suggest that not only base T1 but also the TE-dependence of observed T1 in normal areas is closer to that found previously in healthy volunteers than in defect areas. |
| first_indexed | 2024-03-08T16:50:14Z |
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| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-03-08T16:50:14Z |
| publishDate | 2024-01-01 |
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| series | Frontiers in Medicine |
| spelling | doaj.art-a1d397260ae64480a0156ee5ab1d261d2024-01-05T05:09:47ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2024-01-011010.3389/fmed.2023.12540031254003Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imagingSimon M. F. Triphan0Simon M. F. Triphan1Marilisa Konietzke2Marilisa Konietzke3Marilisa Konietzke4Jürgen Biederer5Jürgen Biederer6Jürgen Biederer7Jürgen Biederer8Monika Eichinger9Monika Eichinger10Monika Eichinger11Claus F. Vogelmeier12Rudolf A. Jörres13Hans-Ulrich Kauczor14Hans-Ulrich Kauczor15Hans-Ulrich Kauczor16Claus P. Heußel17Claus P. Heußel18Bertram J. Jobst19Bertram J. Jobst20Bertram J. Jobst21Mark O. Wielpütz22Mark O. Wielpütz23Mark O. Wielpütz24on behalf of the COSYCONET study groupDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, GermanyBoehringer Ingelheim Pharma GmbH and Co. KG, Biberach an der Riß, GermanyDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, GermanyFaculty of Medicine, University of Latvia, Riga, LatviaFaculty of Medicine, Christian-Albrechts-Universität zu Kiel, Kiel, GermanyDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, GermanyDepartment of Medicine, Pulmonary and Critical Care Medicine, Philipps-University of Marburg (UMR), Member of the German Center for Lung Research (DZL), Marburg, GermanyInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Comprehensive Pneumology Center Munich (CPC-M), Member of the German Center for Lung Research (DZL), University Hospital, Ludwig Maximilians University (LMU) Munich, Munich, GermanyDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology, Subdivision of Pulmonary Imaging, University Hospital of Heidelberg, Heidelberg, GermanyTranslational Lung Research Center Heidelberg (TLRC), Member of the German Center for Lung Research (DZL), Heidelberg, GermanyDepartment of Diagnostic and Interventional Radiology With Nuclear Medicine, Thoraxklinik at the University Hospital of Heidelberg, Heidelberg, GermanyIntroductionDue to hypoxic vasoconstriction, perfusion is interesting in the lungs. Magnetic Resonance Imaging (MRI) perfusion imaging based on Dynamic Contrast Enhancement (DCE) has been demonstrated in patients with Chronic Obstructive Pulmonary Diseases (COPD) using visual scores, and quantification methods were recently developed further. Inter-patient correlations of echo time-dependent observed T1 [T1(TE)] have been shown with perfusion scores, pulmonary function testing, and quantitative computed tomography. Here, we examined T1(TE) quantification and quantitative perfusion MRI together and investigated both inter-patient and local correlations between T1(TE) and quantitative perfusion.Methods22 patients (age 68.0 ± 6.2) with COPD were examined using morphological MRI, inversion recovery multi-echo 2D ultra-short TE (UTE) in 1–2 slices for T1(TE) mapping, and 4D Time-resolved angiography With Stochastic Trajectories (TWIST) for DCE. T1(TE) maps were calculated from 2D UTE at five TEs from 70 to 2,300 μs. Pulmonary Blood Flow (PBF) and perfusion defect (QDP) maps were produced from DCE measurements. Lungs were automatically segmented on UTE images and morphological MRI and these segmentations registered to DCE images. DCE images were separately registered to UTE in corresponding slices and divided into corresponding subdivisions. Spearman’s correlation coefficients were calculated for inter-patient correlations using the entire segmented slices and for local correlations separately using registered images and subdivisions for each TE. Median T1(TE) in normal and defect areas according to QDP maps were compared.ResultsInter-patient correlations were strongest on average at TE2 = 500 μs, reaching up to |ρ| = 0.64 for T1 with PBF and |ρ| = 0.76 with QDP. Generally, local correlations of T1 with PBF were weaker at TE2 than at TE1 or TE3 and with maximum values of |ρ| = 0.66 (from registration) and |ρ| = 0.69 (from subdivision). In 18 patients, T1 was shorter in defect areas than in normal areas, with the relative difference smallest at TE2.DiscussionThe inter-patient correlations of T1 with PBF and QDP found show similar strength and TE-dependence as those previously reported for visual perfusion scores and quantitative computed tomography. The local correlations and median T1 suggest that not only base T1 but also the TE-dependence of observed T1 in normal areas is closer to that found previously in healthy volunteers than in defect areas.https://www.frontiersin.org/articles/10.3389/fmed.2023.1254003/fullmagnetic resonance imagingfunctional lung imagingT1 mappinglung T1chronic obstructive pulmonary diseasedynamic contrast enhancement |
| spellingShingle | Simon M. F. Triphan Simon M. F. Triphan Marilisa Konietzke Marilisa Konietzke Marilisa Konietzke Jürgen Biederer Jürgen Biederer Jürgen Biederer Jürgen Biederer Monika Eichinger Monika Eichinger Monika Eichinger Claus F. Vogelmeier Rudolf A. Jörres Hans-Ulrich Kauczor Hans-Ulrich Kauczor Hans-Ulrich Kauczor Claus P. Heußel Claus P. Heußel Bertram J. Jobst Bertram J. Jobst Bertram J. Jobst Mark O. Wielpütz Mark O. Wielpütz Mark O. Wielpütz on behalf of the COSYCONET study group Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging Frontiers in Medicine magnetic resonance imaging functional lung imaging T1 mapping lung T1 chronic obstructive pulmonary disease dynamic contrast enhancement |
| title | Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging |
| title_full | Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging |
| title_fullStr | Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging |
| title_full_unstemmed | Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging |
| title_short | Echo time-dependent observed T1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging |
| title_sort | echo time dependent observed t1 and quantitative perfusion in chronic obstructive pulmonary disease using magnetic resonance imaging |
| topic | magnetic resonance imaging functional lung imaging T1 mapping lung T1 chronic obstructive pulmonary disease dynamic contrast enhancement |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1254003/full |
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