Cross-vendor multiparametric mapping of the human brain using 3D-QALAS: A multicenter and multivendor study.

Autor: Fujita S; Department of Radiology, Juntendo University, Tokyo, Japan.; Department of Radiology, The University of Tokyo, Tokyo, Japan.; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA., Gagoski B; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.; Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, Massachusetts, USA., Hwang KP; Department of Imaging Physics, MD Anderson Cancer Center, Houston, Texas, USA., Hagiwara A; Department of Radiology, Juntendo University, Tokyo, Japan., Warntjes M; SyntheticMR, Linköping, Sweden.; Center for Medical Imaging Science and Visualization (CMIV), Linköping University, Linköping, Sweden., Fukunaga I; Department of Radiology, Juntendo University, Tokyo, Japan., Uchida W; Department of Radiology, Juntendo University, Tokyo, Japan., Saito Y; Department of Radiology, Juntendo University, Tokyo, Japan., Sekine T; Department of Radiology, Juntendo University, Tokyo, Japan., Tachibana R; Department of Radiology, Juntendo University, Tokyo, Japan., Muroi T; Department of Radiology, Juntendo University, Tokyo, Japan., Akatsu T; Department of Radiology, Juntendo University, Tokyo, Japan., Kasahara A; Department of Radiology, The University of Tokyo, Tokyo, Japan., Sato R; Department of Radiology, The University of Tokyo, Tokyo, Japan., Ueyama T; Department of Radiology, The University of Tokyo, Tokyo, Japan., Andica C; Department of Radiology, Juntendo University, Tokyo, Japan.; Faculty of Health Data Science, Juntendo University, Chiba, Japan., Kamagata K; Department of Radiology, Juntendo University, Tokyo, Japan., Amemiya S; Department of Radiology, The University of Tokyo, Tokyo, Japan., Takao H; Department of Radiology, The University of Tokyo, Tokyo, Japan., Hoshino Y; Department of Neurology, Juntendo University, Tokyo, Japan., Tomizawa Y; Department of Neurology, Juntendo University, Tokyo, Japan., Yokoyama K; Department of Neurology, Juntendo University, Tokyo, Japan., Bilgic B; Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, Massachusetts, USA.; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.; Harvard/MIT Health Sciences and Technology, Cambridge, Massachusetts, USA., Hattori N; Department of Neurology, Juntendo University, Tokyo, Japan., Abe O; Department of Radiology, The University of Tokyo, Tokyo, Japan., Aoki S; Department of Radiology, Juntendo University, Tokyo, Japan.
Jazyk: angličtina
Zdroj: Magnetic resonance in medicine [Magn Reson Med] 2024 May; Vol. 91 (5), pp. 1863-1875. Date of Electronic Publication: 2024 Jan 09.
DOI: 10.1002/mrm.29939
Abstrakt: Purpose: To evaluate a vendor-agnostic multiparametric mapping scheme based on 3D quantification using an interleaved Look-Locker acquisition sequence with a T2 preparation pulse (3D-QALAS) for whole-brain T1, T2, and proton density (PD) mapping.
Methods: This prospective, multi-institutional study was conducted between September 2021 and February 2022 using five different 3T systems from four prominent MRI vendors. The accuracy of this technique was evaluated using a standardized MRI system phantom. Intra-scanner repeatability and inter-vendor reproducibility of T1, T2, and PD values were evaluated in 10 healthy volunteers (6 men; mean age ± SD, 28.0 ± 5.6 y) who underwent scan-rescan sessions on each scanner (total scans = 100). To evaluate the feasibility of 3D-QALAS, nine patients with multiple sclerosis (nine women; mean age ± SD, 48.2 ± 11.5 y) underwent imaging examination on two 3T MRI systems from different manufacturers.
Results: Quantitative maps obtained with 3D-QALAS showed high linearity (R 2  = 0.998 and 0.998 for T1 and T2, respectively) with respect to reference measurements. The mean intra-scanner coefficients of variation for each scanner and structure ranged from 0.4% to 2.6%. The mean structure-wise test-retest repeatabilities were 1.6%, 1.1%, and 0.7% for T1, T2, and PD, respectively. Overall, high inter-vendor reproducibility was observed for all parameter maps and all structure measurements, including white matter lesions in patients with multiple sclerosis.
Conclusion: The vendor-agnostic multiparametric mapping technique 3D-QALAS provided reproducible measurements of T1, T2, and PD for human tissues within a typical physiological range using 3T scanners from four different MRI manufacturers.
(© 2024 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)
Databáze: MEDLINE
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