Chen Zhenrui, Tie Yanmei, Olubiyi Olutayo, Rigolo Laura, Mehrtash Alireza, Norton Isaiah, Pasternak Ofer, Rathi Yogesh, Golby Alexandra J, O'Donnell Lauren J
Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA ; Department of Neurosurgery, Jinling Hospital, Southern Medical University, Nanjing, Jiangsu 210002, China.
Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.
Neuroimage Clin. 2015 Mar 20;7:815-22. doi: 10.1016/j.nicl.2015.03.009. eCollection 2015.
Diffusion imaging tractography is increasingly used to trace critical fiber tracts in brain tumor patients to reduce the risk of post-operative neurological deficit. However, the effects of peritumoral edema pose a challenge to conventional tractography using the standard diffusion tensor model. The aim of this study was to present a novel technique using a two-tensor unscented Kalman filter (UKF) algorithm to track the arcuate fasciculus (AF) in brain tumor patients with peritumoral edema.
Ten right-handed patients with left-sided brain tumors in the vicinity of language-related cortex and evidence of significant peritumoral edema were retrospectively selected for the study. All patients underwent 3-Tesla magnetic resonance imaging (MRI) including a diffusion-weighted dataset with 31 directions. Fiber tractography was performed using both single-tensor streamline and two-tensor UKF tractography. A two-regions-of-interest approach was applied to perform the delineation of the AF. Results from the two different tractography algorithms were compared visually and quantitatively.
Using single-tensor streamline tractography, the AF appeared disrupted in four patients and contained few fibers in the remaining six patients. Two-tensor UKF tractography delineated an AF that traversed edematous brain areas in all patients. The volume of the AF was significantly larger on two-tensor UKF than on single-tensor streamline tractography (p < 0.01).
Two-tensor UKF tractography provides the ability to trace a larger volume AF than single-tensor streamline tractography in the setting of peritumoral edema in brain tumor patients.
扩散成像纤维束示踪技术越来越多地用于追踪脑肿瘤患者的关键纤维束,以降低术后神经功能缺损的风险。然而,瘤周水肿的影响给使用标准扩散张量模型的传统纤维束示踪带来了挑战。本研究的目的是提出一种使用双张量无迹卡尔曼滤波(UKF)算法来追踪伴有瘤周水肿的脑肿瘤患者弓状束(AF)的新技术。
回顾性选择10例右侧大脑半球肿瘤位于语言相关皮层附近且有明显瘤周水肿证据的右利手患者进行研究。所有患者均接受3特斯拉磁共振成像(MRI)检查,包括具有31个方向的扩散加权数据集。使用单张量流线法和双张量UKF纤维束示踪法进行纤维束示踪。采用双感兴趣区方法对AF进行描绘。对两种不同纤维束示踪算法的结果进行视觉和定量比较。
使用单张量流线纤维束示踪法时,4例患者的AF出现中断,其余6例患者的AF纤维较少。双张量UKF纤维束示踪法在所有患者中均描绘出一条穿过水肿脑区的AF。双张量UKF法显示的AF体积明显大于单张量流线法(p < 0.01)。
在脑肿瘤患者瘤周水肿的情况下,双张量UKF纤维束示踪法比单张量流线纤维束示踪法能够追踪更大体积的AF。