Health effects of lesion localization in multiple sclerosis: spatial registration and confounding adjustment.
Health effects of lesion localization in multiple sclerosis: spatial registration and confounding adjustment.
复制标题
DOI：
10.1371/journal.pone.0107263
复制
发表时间：
2014
期刊：
影响因子：
3.7
通讯作者：
Crainiceanu CM
中科院分区：
文献类型：
--
作者：
Eloyan A;Shou H;Shinohara RT;Sweeney EM;Nebel MB;Cuzzocreo JL;Calabresi PA;Reich DS;Lindquist MA;Crainiceanu CM
多发性硬化症 (MS) 中的脑病变定位被认为与不良健康影响的类型和严重程度有关。然而，有几个因素阻碍了使用大型 MRI 数据集对此类关联进行统计分析：1）为健康个体开发的空间配准算法可能对患病大脑效果较差，并导致病变的不同空间分布； 2）结果的解释需要仔细选择混杂因素； 3）大多数方法都集中在体素回归方法上。在本文中，我们评估了五种配准算法的性能，并观察到有关病变定位的结论可能会因配准算法的选择而有很大差异。介绍了处理由于病程和局部病变体积差异而导致的混杂因素的方法。然后，通过引入测量患者特定病变掩模与人群患病率图之间距离的指标来扩展体素回归。
Brain lesion localization in multiple sclerosis (MS) is thought to be associated with the type and severity of adverse health effects. However, several factors hinder statistical analyses of such associations using large MRI datasets: 1) spatial registration algorithms developed for healthy individuals may be less effective on diseased brains and lead to different spatial distributions of lesions; 2) interpretation of results requires the careful selection of confounders; and 3) most approaches have focused on voxel-wise regression approaches. In this paper, we evaluated the performance of five registration algorithms and observed that conclusions regarding lesion localization can vary substantially with the choice of registration algorithm. Methods for dealing with confounding factors due to differences in disease duration and local lesion volume are introduced. Voxel-wise regression is then extended by the introduction of a metric that measures the distance between a patient-specific lesion mask and the population prevalence map.
登录
查看更多内容
简单的范式去除外部组织：算法和分析。
影响因子：
5.7
作者：
Carass, Aaron;Cuzzocreo, Jennifer;Wheeler, M. Bryan;Bazin, Pierre-Louis;Resnick, Susan M.;Prince, Jerry L.
通讯作者：
Prince, Jerry L.
影响因子：
5.8
作者：
Dalton, C. M.;Bodini, B.;Chard, D. T.
通讯作者：
Chard, D. T.
影响因子：
4.8
作者：
Bendfeldt, Kerstin;Blumhagen, Jan Ole;Borgwardt, Stefan J.
通讯作者：
Borgwardt, Stefan J.
影响因子：
5.7
作者：
Charil, Arnaud;Dagher, Alain;Evans, Alan C.
通讯作者：
Evans, Alan C.
影响因子：
3.5
作者：
Riccitelli, G.;Rocca, M. A.;Filippi, M.
通讯作者：
Filippi, M.