From the Department of Biomedical Engineering (A.Z., J.P.), Eindhoven University of Technology, Eindhoven, The Netherlands
Department of Diagnostic and Interventional Radiology (N.S.), University Hospital Ulm, Ulm, Germany.
AJNR Am J Neuroradiol. 2023 Mar;44(3):283-290. doi: 10.3174/ajnr.A7793. Epub 2023 Feb 16.
Tractography of the corticospinal tract is paramount to presurgical planning and guidance of intraoperative resection in patients with motor-eloquent gliomas. It is well-known that DTI-based tractography as the most frequently used technique has relevant shortcomings, particularly for resolving complex fiber architecture. The purpose of this study was to evaluate multilevel fiber tractography combined with functional motor cortex mapping in comparison with conventional deterministic tractography algorithms.
Thirty-one patients (mean age, 61.5 [SD, 12.2] years) with motor-eloquent high-grade gliomas underwent MR imaging with DWI (TR/TE = 5000/78 ms, voxel size = 2 × 2 × 2 mm, 1 volume at = 0 s/mm, 32 volumes at = 1000 s/mm). DTI, constrained spherical deconvolution, and multilevel fiber tractography-based reconstruction of the corticospinal tract within the tumor-affected hemispheres were performed. The functional motor cortex was enclosed by navigated transcranial magnetic stimulation motor mapping before tumor resection and used for seeding. A range of angular deviation and fractional anisotropy thresholds (for DTI) was tested.
For all investigated thresholds, multilevel fiber tractography achieved the highest mean coverage of the motor maps (eg, angular threshold = 60°; multilevel/constrained spherical deconvolution/DTI, 25% anisotropy threshold = 71.8%, 22.6%, and 11.7%) and the most extensive corticospinal tract reconstructions (eg, angular threshold = 60°; multilevel/constrained spherical deconvolution/DTI, 25% anisotropy threshold = 26,485 mm, 6308 mm, and 4270 mm).
Multilevel fiber tractography may improve the coverage of the motor cortex by corticospinal tract fibers compared with conventional deterministic algorithms. Thus, it could provide a more detailed and complete visualization of corticospinal tract architecture, particularly by visualizing fiber trajectories with acute angles that might be of high relevance in patients with gliomas and distorted anatomy.
皮质脊髓束的束追踪对于术前规划和运动语言区胶质瘤患者术中切除的指导至关重要。众所周知,基于弥散张量成像(DTI)的束追踪是最常用的技术,但存在相关的局限性,特别是在解析复杂纤维结构方面。本研究旨在评估多级纤维束追踪与常规确定性束追踪算法相比的效果。
31 例运动语言区高级别胶质瘤患者(平均年龄,61.5 [标准差,12.2] 岁)接受了磁共振成像检查,包括弥散加权成像(TR/TE = 5000/78 ms,体素大小= 2×2×2 mm,1 个零信号容积,32 个 1000 s/mm 信号容积)。在肿瘤受累半球内,进行 DTI、约束球内去卷积和多级纤维束追踪重建皮质脊髓束。在肿瘤切除前,使用经颅磁刺激运动映射来封闭功能运动皮层,并用于种子点。测试了一系列角度偏差和各向异性分数阈值(用于 DTI)。
对于所有研究的阈值,多级纤维束追踪都实现了运动图谱的最高平均覆盖率(例如,角度阈值=60°;多级/约束球内去卷积/DTI,25%各向异性阈值=71.8%、22.6%和 11.7%)和最广泛的皮质脊髓束重建(例如,角度阈值=60°;多级/约束球内去卷积/ DTI,25%各向异性阈值=26485 mm、6308 mm 和 4270 mm)。
与常规确定性算法相比,多级纤维束追踪可以提高皮质脊髓束纤维覆盖运动皮层的程度。因此,它可以更详细和完整地显示皮质脊髓束结构,特别是可以显示具有锐角的纤维轨迹,这在胶质瘤和解剖结构扭曲的患者中可能具有重要意义。