ReviewFrontiers in neurology2021
Multiparametric Quantitative MRI in Neurological Diseases.
Review in Frontiers in neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
49 citing papers in PubMed, 75 citations in OpenAlex.
- Fully 3D Unrolled Magnetic Resonance Fingerprinting Reconstruction via Staged Pretraining and Implicit Gridding.Magnetic resonance in medicine · 2026Article
- Volumetric and Intrastructural Characterization of the Substantia Nigra Using Optimized Synthetic MR Images Derived From Quantitative T1 Maps at 3 T.NMR in biomedicine · 2026Article
- Assessing Microstructural and Molecular Brain Changes in Early Cognitive Decline Using Multiparametric 3T Magnetic Resonance Imaging.Neurology international · 2026Article
- Granulomatous Diseases of the CNS: Aetiology, Neuroradiological Features and Clinical Findings.Clinical neuroradiology · 2026Review
- Visual field inhomogeneities and the architectonics of early visual cortex shape visual working memory.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Multiplexed magnetic resonance imaging.Nature · 2026Article
- MC BTS: Simultaneously Resolving Magnetization Transfer Effect and Relaxation for Multiple Components.Magnetic resonance in medicine · 2026Article
- Accelerating Multiparametric Quantitative MRI Using Self-Supervised Scan-Specific Implicit Neural Representation With Model Reinforcement.Magnetic resonance in medicine · 2026Article
- Imaging Biomarkers in Radiotherapy.Cancers · 2026Review
- Semi-supervision for clinical contrast-weighted image synthesis from magnetic resonance fingerprinting.Magma (New York, N.Y.) · 2026Article
- Neuronal plasticity during motor rehabilitation training after spinal cord injury.Communications biology · 2026Article
- Quantifying mechanical and morphological properties of plantar foot soft tissues: a systematic review of techniques, methods and their clinimetric properties.BMC biomedical engineering · 2026Article
- Absolute quantification of cerebral metabolites using two-dimensional proton MR spectroscopic imaging with quantitative MRI-based water reference.Magnetic resonance in medicine · 2026Article
- Investigation of quantitative synthetic MRI in the evaluation of attention-deficit/hyperactivity disorder.Quantitative imaging in medicine and surgery · 2026Article
- Multimodal Magnetic Resonance Imaging Signatures of White Matter Hyperintensities: Mechanistic Insights Into Pathobiological Heterogeneity.Journal of stroke · 2026Review
- Efficient estimation of gadolinium-based contrast agent concentration using transient-state keyhole MR-STAT.Medical physics · 2025Article
- Development and validation of a multi-modal MRI-based deep learning framework for differentiation of intraspinal tumors (ISMF-Net).EClinicalMedicine · 2025Article
- Quantitative MRI of the hippocampus reveals microstructural trajectories of aging and Alzheimer's disease pathology.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- 3D multi-phase balanced non-steady-state free precession acquisition for multi-parameter mapping.Magma (New York, N.Y.) · 2025Article
- Flexible, high spatial and temporal resolution absolute thermometry of MRI phantoms using ethylene glycol.Magnetic resonance in medicine · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetic resonance imaging (MRI) is the gold standard imaging technique for diagnosis and monitoring of many neurological diseases. However, the application of conventional MRI in clinical routine is mainly limited to the visual detection of macroscopic tissue pathology since mixed tissue contrasts depending on hardware and protocol parameters hamper its application for the assessment of subtle or diffuse impairment of the structural tissue integrity. Multiparametric quantitative (q)MRI determines tissue parameters quantitatively, enabling the detection of microstructural processes related to tissue remodeling in aging and neurological diseases. In contrast to measuring tissue atrophy via structural imaging, multiparametric qMRI allows for investigating biologically distinct microstructural processes, which precede changes of the tissue volume. This facilitates a more comprehensive characterization of tissue alterations by revealing early impairment of the microstructural integrity and specific disease-related patterns. So far, qMRI techniques have been employed in a wide range of neurological diseases, including in particular conditions with inflammatory, cerebrovascular and neurodegenerative pathology. Numerous studies suggest that qMRI might add valuable information, including the detection of microstructural tissue damage in areas appearing normal on conventional MRI and unveiling the microstructural correlates of clinical manifestations. This review will give an overview of current qMRI techniques, the most relevant tissue parameters and potential applications in neurological diseases, such as early (differential) diagnosis, monitoring of disease progression, and evaluating effects of therapeutic interventions.
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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.