Rovaris Marco, Filippi Massimo
Neuroimaging Research Unit, Department of Neurology, San Raffaele Scientific Institute, Milan, Italy.
J Neuroimaging. 2007 Apr;17 Suppl 1:27S-30S. doi: 10.1111/j.1552-6569.2007.00133.x.
During the last 10 years, thanks to the development of sophisticated acquisition schemes and the application of novel image analysis and postprocessing, diffusion tensor (DT) magnetic resonance imaging (MRI) has increasingly been applied to the study of multiple sclerosis (MS). DT MRI proved to be able to detect and quantify tissue damage within and outside T2-visible MS lesions. In addition, DT MRI has been shown to be sensitive to the evolution of MS damage over short-term periods of time, and therefore holds promise to provide us with in vivo correlates of MS clinical severity, as well as predictors of long-term disease evolution. Recent developments of the technique, such as DT tractography, are likely to improve dramatically our understanding of the mechanisms associated to the accumulation of MS disability. Unresolved issues to be addressed include the definition of the actual features underlying diffusion changes in MS and the potential of DT MRI in the differential diagnosis between MS and other demyelinating conditions. The best acquisition and postprocessing strategies for DT MRI studies of MS also remain a matter of debate. Moreover, the precision and accuracy of DT MRI scans in detecting longitudinal, MS-related changes need to be further investigated. This is a pivotal issue for a future application of DT MRI to the monitoring of MS evolution in large-scale clinical trials and, possibly, in individual patients.
在过去十年中,得益于精密采集方案的发展以及新型图像分析和后处理技术的应用,扩散张量(DT)磁共振成像(MRI)越来越多地应用于多发性硬化症(MS)的研究。DT MRI已被证明能够检测和量化T2可见MS病灶内外的组织损伤。此外,DT MRI已显示出对MS损伤在短期内的演变敏感,因此有望为我们提供MS临床严重程度的体内相关指标以及长期疾病演变的预测指标。该技术的最新发展,如DT纤维束成像,可能会极大地增进我们对与MS残疾积累相关机制的理解。有待解决的问题包括MS中扩散变化的实际特征的定义以及DT MRI在MS与其他脱髓鞘疾病鉴别诊断中的潜力。MS的DT MRI研究的最佳采集和后处理策略也仍然是一个有争议的问题。此外,DT MRI扫描在检测与MS相关的纵向变化方面的精度和准确性需要进一步研究。这对于DT MRI未来在大规模临床试验以及可能在个体患者中监测MS演变的应用来说是一个关键问题。