Aug 2026· Journal of Magnetic Resonance Imaging· 1 citation· 37 references
Medicine
TL;DR
QSM has the potential to characterize MS lesion heterogeneity by identifying distinct lesion susceptibility patterns and was significantly associated with bilateral choroid plexus volume changes.
Abstract
Background
Quantitative susceptibility mapping (QSM) characterizes multiple sclerosis (MS) lesions through susceptibility changes related to iron and myelin. However, the prevalence, regional distribution, and relationship of QSM-defined lesion subtypes with choroid plexus alterations remain unclear.
Purpose
To characterize MS lesion subtypes using QSM and evaluate their prevalence, regional distribution, and associations with choroid plexus volume changes.
STUDY TYPE
Prospective longitudinal study.
POPULATION
Forty-six patients with MS (44 relapsing-remitting, 2 primary progressive; mean age, 37 ± 8 years). QSM data were available for lesion classification in 32 participants.
FIELD STRENGTH/SEQUENCE
1.5T MRI with 3D T2-FLAIR, 3D T1-MPRAGE, and multi-echo gradient-echo sequences for QSM.
ASSESSMENT
Following whole-brain segmentation, white matter was parcellated into periventricular, juxtacortical, and deep regions. White matter lesions were segmented using the SAMSEG algorithm and classified on QSM as isointense, hypointense, hyperintense, or paramagnetic rim lesions. Lesion counts, lesion volumes, regional distribution, and associations with choroid plexus volume changes were evaluated.
STATISTICAL TESTS
Normality was assessed using the Kolmogorov-Smirnov test. Spearman correlation and Mann-Whitney U tests were used. Bonferroni correction was applied for multiple comparisons.
Results
Eight hundred ninety lesions were identified: 512 isointense (57.1%), 65 hypointense (7.2%), 291 hyperintense (32.4%), and 29 paramagnetic rim lesions (3.2%). Isointense and hypointense lesions, potentially reflecting different stages of tissue repair, accounted for 64.3% of all lesions. Juxtacortical white matter was most frequently affected (43.4%), followed by subcortical (40.4%) and periventricular (16.2%) regions. Hyperintense lesion volume correlated significantly with baseline lesion volume (r = 0.71), follow-up lesion volume (r = 0.81), and total lesion volume (r = 0.87). Total lesion volume was significantly associated with bilateral choroid plexus volume changes (r = 0.515-0.595).
DATA
Conclusion
QSM has the potential to characterize MS lesion heterogeneity by identifying distinct lesion susceptibility patterns. Total lesion volume was associated with choroid plexus volume changes.
EVIDENCE LEVEL
2.
TECHNICAL EFFICACY
Stage 2.
Reduced tNOE contrast corresponded with known regional differences in myelin density and suggests sensitivity to myelin-integrity, and shows promise as a rapid biomarker for MS diagnosis.
Blake Benyard, Dushyant Kumar, Neil E. Wilson et al.· Research Square· 0 citations
BACKGROUND
Preeclampsia is associated with long-term cerebrovascular and cognitive risk, but tract-level white matter (WM) involvement remains incompletely characterized.
PURPOSE
To investigate whether preeclampsia is associated with tract-level WM susceptibility alterations on quantitative susceptibility mapping (QS...
Chaofan Sui, Meng Li, Shimin Yang et al.· Journal of Magnetic Resonanc...· 1 citation
BACKGROUND
Juxtacortical paramagnetic rims (JPRs) have emerged as potential biomarkers of cortical pathology in multiple sclerosis (MS), yet their susceptibility characteristics and clinical significance remain unclear.
OBJECTIVES
To characterize the heterogeneity of cortical lesions (CLs), with a particular focus on...
Qi-Yuan Zhu, Zhuo-Wei Shi, E. de Meo et al.· Multiple Sclerosis· 0 citations
Lesion composition may offer a more informative framework than global WMH burden for understanding cerebrovascular contributions to aging and neurodegeneration, with potential implications for risk stratification, clinical interpretation, and targeted interventions.
Raúl González-Gómez, Enzo Tagliazuchi, C. G. Campo et al.· Neurology· 0 citations
BACKGROUND
Diffusion basis spectrum imaging (DBSI) has emerged as an advanced model capable of characterizing central nervous system tissue injury and glioma pathology. However, the associations of DBSI with key characteristics of high-grade gliomas (HGGs), including proliferation and survival outcomes, remain underexp...
Neng-Jin Zhu, Liwei Mazu, Zu-Qi Xia et al.· Journal of Magnetic Resonanc...· 0 citations
Underlying tissue destruction in Definite vs Probable PRLs in people with progressive MS is assessed using quantitative MRI to assess underlying tissue destruction in PRLs in people with progressive MS.
S. Sacco, Hao-Jun Zhao, Shui-Ting Cheng et al.· Neurology(R) neuroimmunology...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.