Optimizing the accuracy of cortical volumetric analysis in traumatic brain injury

被引:14
作者
Diamond, Bram R. [1 ,2 ,3 ]
Mac Donald, Christine L. [4 ]
Frau-Pascual, Aina [1 ,2 ,3 ]
Snider, Samuel B. [1 ,2 ]
Fischl, Bruce [3 ,5 ]
Dams-O'Connor, Kristen [6 ,7 ]
Edlow, Brian L. [1 ,2 ,3 ]
机构
[1] Massachusetts Gen Hosp, Dept Neurol, Ctr Neurotechnol & Neurorecovery, Boston, MA 02114 USA
[2] Harvard Med Sch, Boston, MA 02115 USA
[3] Massachusetts Gen Hosp, Dept Radiol, Athinoula A Martinos Ctr Biomed Imaging, Charlestown, MA USA
[4] Harvard Med Sch, Charlestown, MA USA
[5] MIT, Harvard MIT Hlth Sci & Technol, Comp Sci & Artificial Intelligence Lab, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[6] Icahn Sch Med Mt Sinai, Dept Rehabil & Human Performance, New York, NY 10029 USA
[7] Icahn Sch Med Mt Sinai, Dept Neurol, New York, NY 10029 USA
基金
美国国家卫生研究院;
关键词
Traumatic brain injury; Contusion; Mri; FreeSurfer; Neurodegeneration; HUMAN CEREBRAL-CORTEX; COMMON DATA ELEMENTS; SEGMENTATION; MULTICENTER; THICKNESS; MODERATE; OUTCOMES; ATROPHY;
D O I
10.1016/j.mex.2020.100994
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Cortical volumetric analysis is widely used to study the anatomic basis of neurological deficits in patients with traumatic brain injury (TBI). However, patients with TBI-related lesions are often excluded from MRI analyses because cortical lesions may compromise the accuracy of reconstructed surfaces upon which volumetric measurements are based. We developed a FreeSurfer-based lesion correction method and tested its impact on cortical volume measures in 87 patients with chronic moderate-to-severe TBI. We reconstructed cortical surfaces from Tl-weighted MRI scans, then manually labeled and removed vertices on the cortical surfaces where lesions caused inaccuracies. Next, we measured the surface area of lesion overlap with seven canonical brain networks and the percent volume of each network affected by lesions. The lesion correction method revealed that cortical lesions in patients with TBI are preferentially located in the limbic and default mode networks (95.7% each), with the limbic network also having the largest average surface area (4.4+/-3.7%) and percent volume affected by lesions (12.7+/-9.7%). The method has the potential to improve the accuracy of cortical volumetric measurements and permit inclusion of patients with lesioned brains in MRI analyses. The method also provides new opportunities to elucidate network-based mechanisms of neurological deficits in patients with TBI. (C) 2020 The Author(s). Published by Elsevier B.V.
引用
收藏
页数:16
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