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Improvements in Between-Vendor MRI Harmonization of Renal T2 Mapping using Stimulated Echo Compensation.
Li, Hao; Daniel, Alexander J; Buchanan, Charlotte E; Nery, Fábio; Morris, David M; Li, Shaohang; Huang, Yuan; Sousa, João A; Sourbron, Steven; Mendichovszky, Iosif A; Thomas, David L; Priest, Andrew N; Francis, Susan T.
Afiliação
  • Li H; The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.
  • Daniel AJ; Department of Radiology, University of Cambridge, Cambridge, UK.
  • Buchanan CE; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
  • Nery F; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.
  • Morris DM; Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UK.
  • Li S; Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK.
  • Huang Y; The Institute of Science and Technology for Brain-inspired Intelligence, Fudan University, Shanghai, China.
  • Sousa JA; Department of Radiology, University of Cambridge, Cambridge, UK.
  • Sourbron S; EPSRC Cambridge Mathematics of Information in Healthcare Hub, University of Cambridge, Cambridge, UK.
  • Mendichovszky IA; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Thomas DL; Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
  • Priest AN; Department of Radiology, University of Cambridge, Cambridge, UK.
  • Francis ST; Department of Radiology, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.
J Magn Reson Imaging ; 2024 Feb 21.
Article em En | MEDLINE | ID: mdl-38380700
ABSTRACT

BACKGROUND:

T2 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.

PURPOSE:

To 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 TYPE Prospective.

SUBJECTS:

8 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/SEQUENCE 3T, multiecho spin-echo sequence. ASSESSMENT T2 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 TESTS Coefficient of variation (CV), linear mixed-effects model, analysis of variance, student's t-tests, Bland-Altman plots, P-value <0.05 considered statistically significant.

RESULTS:

In 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

CONCLUSION:

Stimulated-echo correction reduces renal T2 variation across MR vendor platforms. LEVEL OF EVIDENCE 2 TECHNICAL EFFICACY Stage 1.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article