Filippi Massimo, Tortorella Carla, Rovaris Marco
Neuroimaging Research Unit, Department of Neuroscience, Scientific Institute, University Ospedale San Raffaele, via Olgettina 60, 20132 Milan, Italy.
J Neuroimaging. 2002 Oct;12(4):289-301. doi: 10.1111/j.1552-6569.2002.tb00136.x.
Although conventional magnetic resonance imaging (cMRI) is widely used for diagnosing multiple sclerosis (MS) and monitoring disease activity and evolution, the correlation between cMRI and clinical findings is far from strict. Among the reasons for this "clinical-MRI paradox," a major role has been attributed to the limited specificity of cMRI to the heterogeneous pathological substrates of MS and to its inability to quantify the extent of damage in the normal-appearing tissue. Modern quantitative MRI techniques have the potential to overcome some of the limitations of cMRI. Metrics derived from magnetization transfer and diffusion-weighted MRI enable one to quantify the extent of structural changes occurring within and outside macroscopic MS lesions with increased pathological specificity over cMRI. Magnetic resonance spectroscopy can add information on the biochemical nature of such changes, with the potential to improve significantly our ability to monitor inflammatory demyelination and axonal injury. Finally, functional MRI might provide new insights into the role of cortical adaptive changes in limiting the clinical consequences of white-matter structural damage. This review outlines the major contributions given by MRI-based techniques to the diagnostic work-up of MS patients, to the understanding of the pathobiology of the disease, and to the assessment of the effects of new experimental treatments.
尽管传统磁共振成像(cMRI)被广泛用于诊断多发性硬化症(MS)以及监测疾病活动和进展,但cMRI与临床发现之间的相关性并不严格。在这种“临床-磁共振成像悖论”的原因中,一个主要因素是cMRI对MS异质性病理基质的特异性有限,以及它无法量化正常外观组织中的损伤程度。现代定量磁共振成像技术有可能克服cMRI的一些局限性。源自磁化传递和扩散加权磁共振成像的指标能够量化宏观MS病变内外发生的结构变化程度,与cMRI相比,其病理特异性有所提高。磁共振波谱可以补充有关此类变化生化性质的信息,有可能显著提高我们监测炎性脱髓鞘和轴突损伤的能力。最后,功能磁共振成像可能为皮质适应性变化在限制白质结构损伤临床后果中的作用提供新的见解。本综述概述了基于磁共振成像的技术对MS患者诊断检查、疾病病理生物学理解以及新实验性治疗效果评估的主要贡献。