ArticleJournal of magnetic resonance imaging : JMRI2015
Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging.
Article in Journal of magnetic resonance imaging : JMRI, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Reliability of paramagnetic rim lesion classification on quantitative susceptibility mapping (QSM) in people with multiple sclerosis: Single-site experience and systematic review.Multiple sclerosis and related disorders · 2023Pooled it
- The prevalence of paramagnetic rim lesions in multiple sclerosis: A systematic review and meta-analysis.PloS one · 2021Pooled it
- Microstructure-Informed Myelin Mapping (MIMM) from routine multi-echo gradient echo data using multiscale physics modeling of iron and myelin effects and QSM.Magnetic resonance in medicine · 2025Article
- Quantitative susceptibility mapping is more sensitive and specific than phase imaging in detecting chronic active multiple sclerosis lesion rims: pathological validation.Brain communications · 2025Article
- Imaging Outcomes for Phase 2 Trials Targeting Compartmentalized Inflammation.Multiple sclerosis (Houndmills, Basingstoke, England) · 2024Review
- Automated Quantitative Susceptibility and Morphometry MR Study: Feasibility and Interrelation Between Clinical Score, Lesion Load, Deep Grey Matter and Normal-Appearing White Matter in Multiple Sclerosis.Diagnostics (Basel, Switzerland) · 2024Article
- Impact of paramagnetic rim lesions on disability and race in multiple sclerosis: mediation analysis.Annals of clinical and translational neurology · 2024Observational
- Imaging chronic active lesions in multiple sclerosis: a consensus statement.Brain : a journal of neurology · 2024Review
- The changes of oxygen extraction fraction in different types of lesions in relapsing-remitting multiple sclerosis: A cross-sectional and longitudinal study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- So You Want to Image Myelin Using MRI: Magnetic Susceptibility Source Separation for Myelin Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Central Vein Sign and Paramagnetic Rim Lesions: Susceptibility Changes in Brain Tissues and Their Implications for the Study of Multiple Sclerosis Pathology.Diagnostics (Basel, Switzerland) · 2024Review
- Quantitative susceptibility mapping versus phase imaging to identify multiple sclerosis iron rim lesions with demyelination.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- Disease correlates of rim lesions on quantitative susceptibility mapping in multiple sclerosis.Scientific reports · 2022Article
- QSMxT: Robust masking and artifact reduction for quantitative susceptibility mapping.Magnetic resonance in medicine · 2022Article
- Quantitative susceptibility mapping of the head-and-neck using SMURF fat-water imaging with chemical shift and relaxation rate corrections.Magnetic resonance in medicine · 2022Article
- QSM is an imaging biomarker for chronic glial activation in multiple sclerosis lesions.Annals of clinical and translational neurology · 2021Article
- Clinical feasibility of brain quantitative susceptibility mapping.Magnetic resonance imaging · 2019Article
- The effect of low resolution and coverage on the accuracy of susceptibility mapping.Magnetic resonance in medicine · 2019Article
- Susceptibility MRI captures nigral pathology in patients with parkinsonian syndromes.Movement disorders : official journal of the Movement Disorder Society · 2018Article
- Identification of Chronic Active Multiple Sclerosis Lesions on 3T MRI.AJNR. American journal of neuroradiology · 2018Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
purposeTo demonstrate the phase and quantitative susceptibility mapping (QSM) patterns created by solid and shell spatial distributions of magnetic susceptibility in multiple sclerosis (MS) lesions. MATERIALS AND
methodsNumerical simulations and experimental phantoms of solid- and shell-shaped magnetic susceptibility sources were used to generate magnitude, phase, and QSM images. Imaging of 20 consecutive MS patients was also reviewed for this Institutional Review Board (IRB)-approved MRI study to identify the appearance of solid and shell lesions on phase and QSM images.
resultsSolid and shell susceptibility sources were correctly reconstructed in QSM images, while the corresponding phase images depicted both geometries with shell-like patterns, making the underlying susceptibility distribution difficult to determine using phase alone. In MS patients, of the 60 largest lesions identified on T2 , 30 lesions were detected on both QSM and phase, of which 83% were solid and 17% were shells on QSM, and of which 30% were solid and 70% were shell on phase. Of the 21 shell-like lesions on phase, 76% appeared solid on QSM, 24% appeared shell on QSM. Of the five shell-like lesions on QSM, all were shell-like on phase.
conclusionQSM accurately depicts both solid and shell patterns of magnetic susceptibility, while phase imaging fails to distinguish them.
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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.