白质
髓鞘
胼胝体
磁共振成像
部分各向异性
生物标志物
化学
病理
内科学
医学
中枢神经系统
放射科
生物化学
作者
Marta Lancione,Matteo Cencini,Elena Scaffei,Emilio Cipriano,Guido Buonincontri,Rolf F. Schulte,Carolin M. Pirkl,Bianca Buchignani,Rosa Pasquariello,Raffaello Canapicchi,Roberta Battini,Laura Biagi,Michela Tosetti
摘要
A quantitative biomarker for myelination, such as myelin water fraction (MWF), would boost the understanding of normative and pathological neurodevelopment, improving patients' diagnosis and follow‐up. We quantified the fraction of a rapidly relaxing pool identified as MW using multicomponent three‐dimensional (3D) magnetic resonance fingerprinting (MRF) to evaluate white matter (WM) maturation in typically developing (TD) children and alterations in leukodystrophies (LDs). We acquired DTI and 3D MRF‐based R1, R2 and MWF data of 15 TD children and 17 LD patients (9 months–12.5 years old) at 1.5 T. We computed normative maturation curves in corpus callosum and corona radiata and performed WM tract profile analysis, comparing MWF with R1, R2 and fractional anisotropy (FA). Normative maturation curves demonstrated a steep increase for all tissue parameters in the first 3 years of age, followed by slower growth for MWF while R1, R2 R 2 and FA reached a plateau. Unlike FA, MWF values were similar for regions of interest (ROIs) with different degrees of axonal packing, suggesting independence from fiber bundle macro‐organization and higher myelin specificity. Tract profile analysis indicated a specific spatial pattern of myelination in the major fiber bundles, consistent across subjects. LD were better distinguished from TD by MWF rather than FA, showing reduced MWF with respect to age‐matched controls in both ROI‐based and tract analysis. In conclusion, MRF‐based MWF provides myelin‐specific WM maturation curves and is sensitive to alteration due to LDs, suggesting its potential as a biomarker for WM disorders. As MRF allows fast simultaneous acquisition of relaxometry and MWF, it can represent a valuable diagnostic tool to study and follow up developmental WM disorders in children.
科研通智能强力驱动
Strongly Powered by AbleSci AI