Improvements in Between‐Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation

Author:

Li Hao12ORCID,Daniel Alexander J.3ORCID,Buchanan Charlotte E.3ORCID,Nery Fábio4,Morris David M.5,Li Shaohang1ORCID,Huang Yuan26,Sousa João A.7ORCID,Sourbron Steven7ORCID,Mendichovszky Iosif A.28ORCID,Thomas David L.910ORCID,Priest Andrew N.28ORCID,Francis Susan T.311ORCID

Affiliation:

1. The Institute of Science and Technology for Brain‐inspired Intelligence Fudan University Shanghai China

2. Department of Radiology University of Cambridge Cambridge UK

3. Sir Peter Mansfield Imaging Centre University of Nottingham Nottingham UK

4. Developmental Imaging and Biophysics Section UCL Great Ormond Street Institute of Child Health London UK

5. Centre for Cardiovascular Science University of Edinburgh Edinburgh UK

6. EPSRC Cambridge Mathematics of Information in Healthcare Hub University of Cambridge Cambridge UK

7. Department of Infection, Immunity and Cardiovascular Disease University of Sheffield Sheffield UK

8. Department of Radiology, Addenbrooke's Hospital Cambridge University Hospitals NHS Foundation Trust Cambridge UK

9. Neuroradiological Academic Unit, UCL Queen Square Institute of Neurology University College London London UK

10. Wellcome Centre for Human Neuroimaging, UCL Queen Square Institute of Neurology University College London London UK

11. NIHR Nottingham Biomedical Research Centre Nottingham University Hospitals NHS Trust and School of Medicine Nottingham UK

Abstract

BackgroundT2 mapping is valuable to evaluate pathophysiology in kidney disease. However, variations in T2 relaxation time measurements across MR scanners and vendors may occur requiring additional correction.PurposeTo harmonize renal T2 measurements between MR vendor platforms, and use an extended‐phase‐graph‐based fitting method (“StimFit”) to correct stimulated echoes and reduce between‐vendor variations.Study TypeProspective.Subjects8 healthy “travelling” volunteers (37.5% female, 32 ± 6 years) imaged on four MRI systems across three vendors at four sites, 10 healthy volunteers (50% female, 32 ± 8 years) scanned multiple times on a given MR scanner for repeatability evaluation. ISMRM/NIST system phantom scanned for evaluation of T2 accuracy.Field Strength/Sequence3T, multiecho spin‐echo sequence.AssessmentT2 images fit using conventional monoexponential fitting and “StimFit.” Mean absolute percentage error (MAPE) of phantom measurements with reference T2 values. Average cortex and medulla T2 values compared between MR vendors, with masks obtained from T2‐weighted images and T1 maps. Full‐width‐at‐half‐maximum (FWHM) T2 distributions to evaluate local homogeneity of measurements.Statistical TestsCoefficient of variation (CV), linear mixed‐effects model, analysis of variance, student's t‐tests, Bland–Altman plots, P‐value <0.05 considered statistically significant.ResultsIn the ISMRM/NIST phantom, “StimFit” reduced the MAPE from 4.9%, 9.1%, 24.4%, and 18.1% for the four sites (three vendors) to 3.3%, 3.0%, 6.6%, and 4.1%, respectively. In vivo, there was a significant difference in kidney T2 measurements between vendors using a monoexponential fit, but not with “StimFit” (P = 0.86 and 0.92, cortex and medulla, respectively). The intervendor CVs of T2 measures were reduced from 8.0% to 2.6% (cortex) and 7.1% to 2.8% (medulla) with StimFit, resulting in no significant differences for the CVs of intravendor repeat acquisitions (P = 0.13 and 0.05). “StimFit” significantly reduced the FWHM of T2 distributions in the cortex and whole kidney.Data ConclusionStimulated‐echo correction reduces renal T2 variation across MR vendor platforms.Level of Evidence2Technical EfficacyStage 1

Funder

National Natural Science Foundation of China

NIHR Cambridge Biomedical Research Centre

NIHR Nottingham Biomedical Research Centre

Publisher

Wiley

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