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Clinical evaluation of the Multimapping technique for simultaneous myocardial T-1 and T-2 mapping
Linköping University, Department of Health, Medicine and Caring Sciences. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart Center, Department of Clinical Physiology in Linköping.
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Heart Center, Department of Clinical Physiology in Linköping. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0003-2198-9690
Linköping University, Department of Health, Medicine and Caring Sciences, Division of Diagnostics and Specialist Medicine. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0001-6142-3005
2022 (English)In: Frontiers in Cardiovascular Medicine, E-ISSN 2297-055X, Vol. 9, article id 960403Article in journal (Refereed) Published
Abstract [en]

The Multimapping technique was recently proposed for simultaneous myocardial T-1 and T-2 mapping. In this study, we evaluate its correlation with clinical reference mapping techniques in patients with a range of cardiovascular diseases (CVDs) and compare image quality and inter- and intra-observer repeatability. Multimapping consists of an ECG-triggered, 2D single-shot bSSFP readout with inversion recovery and T-2 preparation modules, acquired across 10 cardiac cycles. The sequence was implemented at 1.5T and compared to clinical reference mapping techniques, modified Look-Locker inversion recovery (MOLLI) and T-2 prepared bSSFP with four echo times (T(2)bSSFP), and compared in 47 patients with CVD (of which 44 were analyzed). In diseased myocardial segments (defined as the presence of late gadolinium enhancement), there was a high correlation between Multimapping and MOLLI for native myocardium T-1 (r(2) = 0.73), ECV (r(2) = 0.91), and blood T-1 (r(2) = 0.88), and Multimapping and T(2)bSSFP for native myocardial T-2 (r(2) = 0.80). In healthy myocardial segments, a bias for native T-1 (Multimapping = 1,116 +/- 21 ms, MOLLI = 1,002 +/- 21, P < 0.001), post-contrast T-1 (Multimapping = 479 +/- 31 ms, MOLLI = 426 +/- 27 ms, 0.001), ECV (Multimapping = 21.5 +/- 1.9%, MOLLI = 23.7 +/- 2.3%, P = 0.001), and native T-2 (Multimapping = 48.0 +/- 3.0 ms, T(2)bSSFP = 53.9 +/- 3.5 ms, P < 0.001) was observed. The image quality for Multimapping was scored as higher for all mapping techniques (native T-1, post-contrast T-1, ECV, and T(2)bSSFP) compared to the clinical reference techniques. The inter- and intra-observer agreements were excellent (intraclass correlation coefficient, ICC > 0.9) for most measurements, except for inter-observer repeatability of Multimapping native T-1 (ICC = 0.87), post-contrast T-1 (ICC = 0.73), and T(2)bSSFP native T-2 (ICC = 0.88). Multimapping shows high correlations with clinical reference mapping techniques for T-1, T-2, and ECV in a diverse cohort of patients with different cardiovascular diseases. Multimapping enables simultaneous T-1 and T-2 mapping and can be performed in a short breath-hold, with image quality superior to that of the clinical reference techniques.

Place, publisher, year, edition, pages
Frontiers Media SA , 2022. Vol. 9, article id 960403
Keywords [en]
T1 mapping; T2 mapping; ECV; quantitative CMR; simultaneous multiparametric CMR
National Category
Cardiac and Cardiovascular Systems
Identifiers
URN: urn:nbn:se:liu:diva-189097DOI: 10.3389/fcvm.2022.960403ISI: 000860117100001PubMedID: 36148079OAI: oai:DiVA.org:liu-189097DiVA, id: diva2:1702760
Note

Funding Agencies|Swedish Medical Research Council [2018-02779]; Swedish Heart and Lung Foundation [20170440]; ALF Grants Region Ostergotland [LIO-797721]; Swedish Research Council [2018-04164]

Available from: 2022-10-11 Created: 2022-10-11 Last updated: 2022-11-03

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Jarkman, CharlottaCarlhäll, CarljohanHenningsson, Markus
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Department of Health, Medicine and Caring SciencesFaculty of Medicine and Health SciencesDepartment of Clinical Physiology in LinköpingDivision of Diagnostics and Specialist MedicineCenter for Medical Image Science and Visualization (CMIV)
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