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Synthetic MRI with Magnetic Resonance Spin TomogrAphy in Time-Domain (MR-STAT): Results from a Prospective Cross-Sectional Clinical Trial.

Authors :
Kleinloog JPD
Mandija S
D'Agata F
Liu H
van der Heide O
Koktas B
Dankbaar JW
Keil VC
Vonken EJ
Jacobs SM
van den Berg CAT
Hendrikse J
van der Kolk AG
Sbrizzi A
Source :
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2023 May; Vol. 57 (5), pp. 1451-1461. Date of Electronic Publication: 2022 Sep 13.
Publication Year :
2023

Abstract

Background: Magnetic Resonance Spin TomogrAphy in Time-domain (MR-STAT) can reconstruct whole-brain multi-parametric quantitative maps (eg, T <subscript>1</subscript> , T <subscript>2</subscript> ) from a 5-minute MR acquisition. These quantitative maps can be leveraged for synthetization of clinical image contrasts.<br />Purpose: The objective was to assess image quality and overall diagnostic accuracy of synthetic MR-STAT contrasts compared to conventional contrast-weighted images.<br />Study Type: Prospective cross-sectional clinical trial.<br />Population: Fifty participants with a median age of 45 years (range: 21-79 years) consisting of 10 healthy participants and 40 patients with neurological diseases (brain tumor, epilepsy, multiple sclerosis or stroke).<br />Field Strength/sequence: 3T/Conventional contrast-weighted imaging (T <subscript>1</subscript> /T <subscript>2</subscript> weighted, proton density [PD] weighted, and fluid-attenuated inversion recovery [FLAIR]) and a MR-STAT acquisition (2D Cartesian spoiled gradient echo with varying flip angle preceded by a non-selective inversion pulse).<br />Assessment: Quantitative T <subscript>1</subscript> , T <subscript>2</subscript> , and PD maps were computed from the MR-STAT acquisition, from which synthetic contrasts were generated. Three neuroradiologists blinded for image type and disease randomly and independently evaluated synthetic and conventional datasets for image quality and diagnostic accuracy, which was assessed by comparison with the clinically confirmed diagnosis.<br />Statistical Tests: Image quality and consequent acceptability for diagnostic use was assessed with a McNemar's test (one-sided α = 0.025). Wilcoxon signed rank test with a one-sided α = 0.025 and a margin of Δ = 0.5 on the 5-level Likert scale was used to assess non-inferiority.<br />Results: All data sets were similar in acceptability for diagnostic use (≥3 Likert-scale) between techniques (T <subscript>1</subscript> w:P = 0.105, PDw:P = 1.000, FLAIR:P = 0.564). However, only the synthetic MR-STAT T <subscript>2</subscript> weighted images were significantly non-inferior to their conventional counterpart; all other synthetic datasets were inferior (T <subscript>1</subscript> w:P = 0.260, PDw:P = 1.000, FLAIR:P = 1.000). Moreover, true positive/negative rates were similar between techniques (conventional: 88%, MR-STAT: 84%).<br />Data Conclusion: MR-STAT is a quantitative technique that may provide radiologists with clinically useful synthetic contrast images within substantially reduced scan time.<br />Evidence Level: 1 Technical Efficacy: Stage 2.<br /> (© 2022 The Authors. Journal of Magnetic Resonance Imaging published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.)

Details

Language :
English
ISSN :
1522-2586
Volume :
57
Issue :
5
Database :
MEDLINE
Journal :
Journal of magnetic resonance imaging : JMRI
Publication Type :
Academic Journal
Accession number :
36098348
Full Text :
https://doi.org/10.1002/jmri.28425