Smeets Dirk, Ribbens Annemie, Sima Diana M, Cambron Melissa, Horakova Dana, Jain Saurabh, Maertens Anke, Van Vlierberghe Eline, Terzopoulos Vasilis, Van Binst Anne-Marie, Vaneckova Manuela, Krasensky Jan, Uher Tomas, Seidl Zdenek, De Keyser Jacques, Nagels Guy, De Mey Johan, Havrdova Eva, Van Hecke Wim
R&Dicometrix Leuven Belgium; BioImaging Lab Universiteit Antwerpen Antwerp Belgium.
R&D icometrix Leuven Belgium.
Brain Behav. 2016 Jul 19;6(9):e00518. doi: 10.1002/brb3.518. eCollection 2016 Sep.
As neurodegeneration is recognized as a major contributor to disability in multiple sclerosis (MS), brain atrophy quantification could have a high added value in clinical practice to assess treatment efficacy and disease progression, provided that it has a sufficiently low measurement error to draw meaningful conclusions for an individual patient.
In this paper, we present an automated longitudinal method based on Jacobian integration for measuring whole-brain and gray matter atrophy based on anatomical magnetic resonance images (MRI), named MS. MS is specifically designed to measure atrophy in patients with MS, by including iterative lesion segmentation and lesion filling based on FLAIR and T1-weighted MRI scans.
MS is compared with SIENA with respect to test-retest error and consistency, resulting in an average test-retest error on an MS data set of 0.13% (MS ) and 0.17% (SIENA) and a consistency error of 0.07% (MS ) and 0.05% (SIENA). On a healthy subject data set including physiological variability the test-retest is 0.19% (MS ) and 0.31% (SIENA).
Therefore, we can conclude that MS could be of added value in clinical practice for the follow-up of treatment and disease progression in MS patients.
由于神经退行性变被认为是多发性硬化症（MS）导致残疾的主要因素，倘若脑萎缩量化的测量误差足够低，能够为个体患者得出有意义的结论，那么在临床实践中对评估治疗效果和疾病进展而言，脑萎缩量化可能具有很高的附加价值。
在本文中，我们提出了一种基于雅可比积分的自动化纵向方法，用于根据解剖磁共振成像（MRI）测量全脑和灰质萎缩，该方法名为MS。MS是专门为测量MS患者的萎缩而设计的，它包括基于液体衰减反转恢复序列（FLAIR）和T1加权MRI扫描的迭代病变分割和病变填充。
在重测误差和一致性方面，将MS与SIENA进行了比较，在MS数据集上，MS的平均重测误差为0.13%，SIENA为0.17%；一致性误差MS为0.07%，SIENA为0.05%。在包含生理变异性的健康受试者数据集上，MS的重测误差为0.19%，SIENA为0.31%。
因此，我们可以得出结论，在临床实践中，MS对于MS患者治疗随访和疾病进展可能具有附加价值。
