This cohort study analyzed 245 participants (mean age 62 years, 29.8% female) from the prospective Berlin Longterm Observation of Vascular Events (BeLOVE) study over 2 years. It assessed quantitative Multi-Parametric Mapping (qMPM) metrics—MTsat, R1, and PD—in white matter hyperintensities (WMH), perilesional normal-appearing white matter (pNAWM), and contralesional white matter (cWM), using cWM as the comparator to evaluate microstructural alterations and associations with cerebrovascular risk factors and cognitive performance.
Main results showed significant differences in qMPM metrics between WMH and cWM: MTsat was lower in WMH (beta = -0.48, p<0.001, CI: -0.52 to -0.44), R1 was lower in WMH (beta = -0.07, p<0.001, CI: -0.08 to -0.06), and PD was higher in WMH (beta = 2.32, p<0.001, CI: 2.05 to 2.61). No substantial associations were found between MPM parameters and cerebrovascular risk factors. Cognitive performance was associated with higher pNAWM R1 values and moderately with MTsat.
Safety and tolerability data were not reported. A key limitation is the lack of substantial associations between MPM parameters and cerebrovascular risk factors in this cohort, which may affect generalizability. In practice, qMPM reliably detects microstructural alterations in WMH and pNAWM, supporting its potential as a sensitive biomarker for longitudinal studies and therapeutic monitoring, but its clinical application remains investigational pending further evidence.
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Background and Objectives: Normal appearing white matter (NAWM) may already harbor subtle microstructural alterations not yet visible on conventional MRI. Quantitative Multi-Parametric Mapping (qMPM) such as Magnetization Transfer saturation (MTsat), longitudinal relaxation rate (R1), and Proton Density (PD) offer new possibilities for analyzing NAWM which are sensitive to demyelination, axonal loss, and edema. We aimed to characterize these alterations within white matter hyperintensities (WMH) and the perilesional NAWM (pNAWM), to gain insights into the underlying process of lesion progression. We also investigated their association with cerebrovascular risk factors (CVRF) and long-term cognitive performance. Methods: This investigation included the cerebral MRI data of 245 participants from the prospective Berlin Longterm Observation of Vascular Events (BeLOVE) study. Furthermore, 121 participants cognitive performance was evaluated at baseline and longitudinally at 2 years follow-up using Montreal Cognitive Assessment (MoCA). Regions of interest (ROIs) of WMH, pNAWM at 1, 2, 3 mm were assessed in comparison to the mirrored contralesional white matter (cWM). Linear mixed effects models were employed to demonstrate the pairwise comparisons between each region using estimated marginal means and the association of MPM metrics with CVRFs. Linear regression was used to assess the association with cognitive performance. Results: In 245 participants, (mean age 62 years, SD: 12 years; 29.8% females), MPM metrics demonstrated a clear spatial gradient of microstructural injury. MTsat and R1 values were lower in WMH compared to cWM (lower case Greek beta = -0.48 (-0.52 - -0.44) and lower case Greek beta = -0.07 (-0.08 - -0.06), p<0.001, respectively) and showed gradual recovery with increasing distance indicating a microstructural gradient in pNAWM. Conversely, PD values were higher in WMH and decreased peripherally (lower case Greek beta = 2.32 (2.05 - 2.61, p<0.001). No substantial associations were found between MPM parameters and CVRFs in our cohort. At baseline and 2-year follow-up, cognitive performance was associated with higher pNAWM R1 values, whereas MTsat were only moderately associated. Discussion: Quantitative MPM reliably detects microstructural alterations not only within WMH, but also in pNAWM, confirming the high sensitivity of qMPM to subtle tissue pathology and support its utility as a promising biomarker for longitudinal studies and monitoring therapeutic effects.