ArticleAJNR. American journal of neuroradiology2021
3D Quantitative Synthetic MRI in the Evaluation of Multiple Sclerosis Lesions.
Article in AJNR. American journal of neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 33 citations in OpenAlex.
- Preoperative prediction of meningioma grade based on synthetic MRI quantitative T1 and T2 mapping.Japanese journal of radiology · 2026Article
- Synthetic MRI and radiomics in multiple sclerosis: improving precision in diagnosis and prognosis.Radiological physics and technology · 2026Review
- Pathological signatures of white matter lesions in multiple sclerosis versus stroke: a synthetic MRI study.Neuroradiology · 2026Article
- Clinical Image Quality and Reader Variability in 3D Synthetic Brain MRI Compared with Conventional MRI.Tomography (Ann Arbor, Mich.) · 2026Article
- Technical aspects and clinical applications of synthetic MRI: a scoping review.Diagnosis (Berlin, Germany) · 2025Article
- Synthetic MR: Clinical applications in neuroradiology.Neuroradiology · 2025Review
- Comparison of Syn T2-FLAIR and Syn DIR with conventional T2-FLAIR in displaying white matter hyperintensities in migraine patients.Neuroradiology · 2025Article
- Lesion assessment in multiple sclerosis: a comparison between synthetic and conventional fluid-attenuated inversion recovery imaging.Frontiers in neurology · 2025Article
- Raman liquid biopsy: a new approach to the multiple sclerosis diagnostics.Frontiers in neurology · 2025Article
- Decoding Gray Matter Involvement in Multiple Sclerosis via Imaging.Neuroimaging clinics of North America · 2024Review
- Evaluating age-and gender-related changes in brain volumes in normal adult using synthetic magnetic resonance imaging.Brain and behavior · 2024Article
- Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D-QALAS.Magnetic resonance in medicine · 2024Article
- Thin-slice Two-dimensional T2-weighted Imaging with Deep Learning-based Reconstruction: Improved Lesion Detection in the Brain of Patients with Multiple Sclerosis.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Article
- SSL-QALAS: Self-Supervised Learning for rapid multiparameter estimation in quantitative MRI using 3D-QALAS.Magnetic resonance in medicine · 2023Article
- Multiparametric MRI: From Simultaneous Rapid Acquisition Methods and Analysis Techniques Using Scoring, Machine Learning, Radiomics, and Deep Learning to the Generation of Novel Metrics.Investigative radiology · 2023Review
- Brain Parcellation Repeatability and Reproducibility Using Conventional and Quantitative 3D MR Imaging.AJNR. American journal of neuroradiology · 2023Article
- Article
- Synthetic double inversion recovery (DIR) and phase-sensitive inversion recovery (PSIR) images showed better delineation of multiple sclerosis plaques.Neuroradiology · 2022Article
- Highly accelerated 3D MPRAGE using deep neural network-based reconstruction for brain imaging in children and young adults.European radiology · 2022Article
- Synthetic MRI in children with tuberous sclerosis complex.Insights into imaging · 2022Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeSynthetic MR imaging creates multiple contrast-weighted images based on a single time-efficient quantitative scan, which has been mostly performed for 2D acquisition. We assessed the utility of 3D synthetic MR imaging in patients with MS by comparing its diagnostic image quality and lesion volumetry with conventional MR imaging. MATERIALS AND
methodsTwenty-four patients with MS prospectively underwent 3D quantitative synthetic MR imaging and conventional T1-weighted, T2-weighted, FLAIR, and double inversion recovery imaging, with acquisition times of 9 minutes 3 seconds and 18 minutes 27 seconds for the synthetic MR imaging and conventional MR imaging sequences, respectively. Synthetic phase-sensitive inversion recovery images and those corresponding to conventional MR imaging contrasts were created for synthetic MR imaging. Two neuroradiologists independently assessed the image quality on a 5-point Likert scale. The numbers of cortical lesions and lesion volumes were quantified using both synthetic and conventional image sets.
resultsThe overall diagnostic image quality of synthetic T1WI and double inversion recovery images was noninferior to that of conventional images (
conclusionsThree-dimensional synthetic MR imaging could serve as an alternative to conventional MR imaging in evaluating MS with a reduced scan time.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.