Rocca Maria A, Battaglini Marco, Benedict Ralph H B, De Stefano Nicola, Geurts Jeroen J G, Henry Roland G, Horsfield Mark A, Jenkinson Mark, Pagani Elisabetta, Filippi Massimo
From the Neuroimaging Research Unit (M.A.R., E.P., M.F.), Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan; Department of Medicine, Surgery and Neuroscience (M.B., N.D.S.), University of Siena, Italy; Department of Neurology (R.H.B.B.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York; Department of Anatomy and Neuroscience (J.J.G.G.), Section of Clinical Neuroscience, VUmc MS Center Amsterdam, VU University Medical Center, the Netherlands; Department of Neurology (R.G.H.), University of California, San Francisco; Xinapse Systems Ltd. (M.A.H.), Colchester, Essex, UK; and FMRIB Centre (M.J.), Nuffield Department of Clinical Neurosciences, University of Oxford, UK.
Neurology. 2017 Jan 24;88(4):403-413. doi: 10.1212/WNL.0000000000003542. Epub 2016 Dec 16.
Patients with the main clinical phenotypes of multiple sclerosis (MS) manifest varying degrees of brain atrophy beyond that of normal aging. Assessment of atrophy helps to distinguish clinically and cognitively deteriorating patients and predicts those who will have a less-favorable clinical outcome over the long term. Atrophy can be measured from brain MRI scans, and many technological improvements have been made over the last few years. Several software tools, with differing requirements on technical ability and levels of operator intervention, are currently available and have already been applied in research or clinical trial settings. Despite this, the measurement of atrophy in routine clinical practice remains an unmet need. After a short summary of the pathologic substrates of brain atrophy in MS, this review attempts to guide the clinician towards a better understanding of the methods currently used for quantifying brain atrophy in this condition. Important physiologic factors that affect brain volume measures are also considered. Finally, the most recent research on brain atrophy in MS is summarized, including whole brain and various compartments thereof (i.e., white matter, gray matter, selected CNS structures). Current methods provide sufficient precision for cohort studies, but are not adequate for confidently assessing changes in individual patients over the scale of months or a few years.
患有多发性硬化症(MS)主要临床表型的患者表现出超出正常衰老程度的不同程度脑萎缩。萎缩评估有助于区分临床和认知功能恶化的患者,并预测那些长期临床结局较差的患者。脑萎缩可通过脑部磁共振成像(MRI)扫描进行测量,在过去几年中已有许多技术改进。目前有几种软件工具,对技术能力和操作员干预水平的要求各不相同,并且已经应用于研究或临床试验环境中。尽管如此,在常规临床实践中进行萎缩测量仍是一项尚未满足的需求。在简要总结MS脑萎缩的病理基础后,本综述试图引导临床医生更好地理解目前用于量化这种情况下脑萎缩的方法。还考虑了影响脑容量测量的重要生理因素。最后,总结了MS脑萎缩的最新研究,包括全脑及其各个部分(即白质、灰质、选定的中枢神经系统结构)。目前的方法为队列研究提供了足够精确性,但不足以可靠地评估个体患者在数月或数年时间内的变化。