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Journal Article | DKFZ-2022-02477 |
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2023
Wiley
New York, NY
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Please use a persistent id in citations: doi:10.1002/nbm.4847
Abstract: Substantial cortical gray matter tissue damage, which correlates with clinical disease severity, has been revealed in multiple sclerosis (MS) by the use of advanced MRI methods at 3 T and the use of ultra-high field as well as in histopathology studies. While clinical assessment mainly focuses on lesions using T1 - and T2 -weighted MRI, quantitative MRI (qMRI) methods are capable of uncovering subtle microstructural changes. The aim of this ultra-high filed study is to extract possible future MR biomarkers for the quantitative evaluation of regional cortical pathology. Because of their sensitivity to iron, myelin, and in part specifically to cortical demyelination, T1 , T2 , R 2 * , and susceptibility mapping were performed including two novel susceptibility markers; in addition, cortical thickness as well as the volumes of 34 cortical regions were computed. Data were acquired in 20 patients and 16 age- and sex-matched healthy controls. In 18 cortical regions, large to very large effect sizes (Cohen's d ≥ 1) and statistically significant differences in qMRI values between patients and controls were revealed compared to only four regions when using more standard MR measures, namely volume and cortical thickness. Moreover, a decrease in all susceptibility contrasts (χ,χ+ ,χ- ) and R 2 * values indicates that the role of cortical demyelination might outweigh inflammatory processes in the form of iron accumulation in cortical MS pathology, and might as well indicate iron loss. A significant association between susceptibility contrasts as well as R 2 * of the caudal middle frontal gyrus and disease duration (adjusted R2 : 0.602, p=0.0011). Quantitative MRI parameters might be more sensitive towards regional cortical pathology compared to the use of conventional markers only and therefore may play a role in early detection of tissue damage in MS in future.
Keyword(s): cortical pathology ; multiple sclerosis ; quantitative MRI ; quantitative susceptibility mapping ; relaxometry ; ultra-high field
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