Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosis

被引：90

作者：

Vrenken, H. ^{[1
,2
]}

Jenkinson, M. ^{[3
]}

Horsfield, M. A. ^{[4
]}

Battaglini, M. ^{[5
]}

van Schijndel, R. A. ^{[6
,7
]}

Rostrup, E. ^{[8
,9
]}

Geurts, J. J. G. ^{[10
]}

Fisher, E. ^{[11
]}

Zijdenbos, A. ^{[12
]}

Ashburner, J. ^{[13
]}

Miller, D. H. ^{[14
]}

Filippi, M. ^{[15
]}

Fazekas, F. ^{[16
]}

Rovaris, M. ^{[17
]}

Rovira, A. ^{[18
]}

Barkhof, F. ^{[1
]}

de Stefano, N. ^{[5
]}

机构：

[1] Vrije Univ Amsterdam, Med Ctr, Dept Radiol, Amsterdam, Netherlands

[2] Vrije Univ Amsterdam, Med Ctr, Dept Phys & Med Technol, Amsterdam, Netherlands

[3] Univ Oxford, Oxford Ctr Funct Magnet Resonance Imaging Brain, Oxford, England

[4] Univ Leicester, Leicester Royal Infirm, Dept Cardiovasc Sci, Leicester, Leics, England

[5] Univ Siena, Dept Neurol & Behav Sci, I-53100 Siena, Italy

[6] Vrije Univ Amsterdam, Med Ctr, Image Anal Ctr, Amsterdam, Netherlands

[7] Vrije Univ Amsterdam, Med Ctr, Dept Radiol, Amsterdam, Netherlands

[8] Univ Copenhagen, Ctr Hlth Aging, Glostrup, Denmark

[9] Copenhagen Univ Hosp, Dept Diagnost, Glostrup, Denmark

[10] Vrije Univ Amsterdam, Med Ctr, Dept Anat & Neurosci, Amsterdam, Netherlands

[11] Cleveland Clin, Dept Biomed Engn, Lerner Res Inst, Cleveland, OH 44106 USA

[12] Biospective Inc, Montreal, PQ, Canada

[13] Wellcome Trust Ctr Neuroimaging, London, England

[14] UCL Inst Neurol, Queen Sq Multiple Sclerosis Ctr, Dept Neuroinflammat, London, England

[15] Univ Vita Salute San Raffaele, San Raffaele Sci Inst, Div Neurosci, Neuroimaging Res Unit,Inst Expt Neurol, Milan, Italy

[16] Med Univ Graz, Dept Neurol, Graz, Austria

[17] IRCCS S Maria Nascente Fdn Don Gnocchi, UO Riabilitaz Neuromotoria Ctr Sclerosi Multipla, Milan, Italy

[18] Hosp Univ Vall dHebron, Dept Radiol, MR Unit, Barcelona, Spain

来源：

JOURNAL OF NEUROLOGY | 2013年 / 260卷 / 10期

关键词：

Magnetic resonance imaging; Multiple sclerosis; Brain atrophy; White matter lesions; Image analysis; WHITE-MATTER LESIONS; GRADIENT NONLINEARITY CORRECTION; SENSITIVE INVERSION-RECOVERY; MAGNETIC-RESONANCE IMAGES; MR-IMAGES; AUTOMATIC SEGMENTATION; ALZHEIMERS-DISEASE; SPATIOTEMPORAL DISTRIBUTION; INTENSITY NONUNIFORMITY; VOLUME MEASUREMENT;

D O I：

10.1007/s00415-012-6762-5

中图分类号：

R74 [神经病学与精神病学];

学科分类号：

摘要：

Focal lesions and brain atrophy are the most extensively studied aspects of multiple sclerosis (MS), but the image acquisition and analysis techniques used can be further improved, especially those for studying within-patient changes of lesion load and atrophy longitudinally. Improved accuracy and sensitivity will reduce the numbers of patients required to detect a given treatment effect in a trial, and ultimately, will allow reliable characterization of individual patients for personalized treatment. Based on open issues in the field of MS research, and the current state of the art in magnetic resonance image analysis methods for assessing brain lesion load and atrophy, this paper makes recommendations to improve these measures for longitudinal studies of MS. Briefly, they are (1) images should be acquired using 3D pulse sequences, with near-isotropic spatial resolution and multiple image contrasts to allow more comprehensive analyses of lesion load and atrophy, across timepoints. Image artifacts need special attention given their effects on image analysis results. (2) Automated image segmentation methods integrating the assessment of lesion load and atrophy are desirable. (3) A standard dataset with benchmark results should be set up to facilitate development, calibration, and objective evaluation of image analysis methods for MS.

引用

页码：2458 / 2471

页数：14

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