Journal of Magnetic Resonance Imaging· 2026Q1
Multi‐Parametric Phase‐Cycled Balanced Steady‐State Free Precession Brain Tissue Characterization in Relapsing‐Remitting Multiple Sclerosis
- 1citations
- Q1SCImago
- 2026year
Short summary
A novel phase-cycled balanced steady-state free precession (pc-bSSFP) imaging technique revealed significantly lower R1 and R2 relaxometry metrics in 14 of 16 white and gray matter regions in relapsing-remitting multiple sclerosis (RRMS) patients compared to healthy controls (HC).
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Key points
- A novel multi-parametric pc-bSSFP imaging framework was used to assess brain tissue in RRMS patients and healthy controls.
- Significantly lower R1 and R2 values were observed in 14 out of 16 white and gray matter regions in RRMS patients compared to HC.
- The bSSFP asymmetry index (AI) did not show significant differences between RRMS and HC groups.
- Age and sex were not significant covariates for R1, R2, or AI.
AI-generated from the title and abstract; the full text is not read.
Abstract
ABSTRACT Background Time‐efficient phase‐cycled balanced steady‐state free precession (pc‐bSSFP) imaging is a novel microstructure‐ and myelin‐sensitive approach for multi‐parametric brain tissue characterization not yet evaluated in demyelinating diseases such as multiple sclerosis (MS). Purpose To evaluate quantitative relaxometry metrics in white matter (WM) and gray matter (GM) of relapsing‐remitting multiple sclerosis (RRMS) and healthy control (HC) cohorts using a multi‐parametric pc‐bSSFP framework. Study Type Prospective and retrospective, observational. Population Twenty RRMS patients (34.5 ± 5.9 years, female 15/20) and 10 HC subjects (33.4 ± 6.9 years, female 5/10). Field Strength/Sequence 3 T; T 1 ‐weighted magnetization‐prepared rapid gradient‐echo, T 2 ‐weighted fluid‐attenuated inversion recovery, pc‐bSSFP, B 1 + mapping, single‐shot spin‐echo echo‐planar‐imaging diffusion tensor imaging (DTI). Assessment R 1 , R 2 , and the bSSFP asymmetry index (AI) were compared between RRMS and HC across selected WM and GM regions of interest (ROIs). DTI‐derived fiber‐to‐field angle, number of fiber orientations, and fractional anisotropy were used for parameter anisotropy analysis. Statistical Tests Linear mixed‐effects models tested group, ROI, and group‐by‐ROI effects for each metric. Anisotropy differences between cohorts were assessed with two‐sided t ‐tests. ROI and anisotropy tests employed false discovery rate correction with significance set at p corr < 0.05. Results Significant group, ROI, and group‐by‐ROI effects were found for R 1 ( β = −0.16) and R 2 ( β = −2.84). The ROI effect was significant for AI while the group ( p = 0.450) and group‐by‐ROI ( p = 0.747) effects were non‐significant. Age and sex covariates did not reach significance (Age: p = [0.563, 0.705, 0.591], Gender: p = [0.839, 0.822, 0.179], for [ R 1 , R 2 , AI]). Fourteen of 16 ROIs showed significantly lower R 1 and R 2 ( d = −4.25 to −0.85) in RRMS than HC. All ROIs remained non‐significant for AI. R 2 ( p corr ≥ 0.055) and AI ( p corr ≥ 0.108) anisotropy comparison between RRMS and HC groups did not reach significance. Data Conclusion Phase‐cycled bSSFP relaxometry showed WM‐predominant differences in RRMS, with additional whole‐brain assessment including gray matter. Evidence Level 2. Technical Efficacy Stage 1.
The authors' abstract, as published at the source. Journal of Magnetic Resonance Imaging, 2026 · DOI ↗
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Field: Radiology, Nuclear Medicine and Imaging
Radiology, Nuclear Medicine and ImagingMedicine