CEITEC - Central European Institute of Technology, Neuroscience Center, Masaryk University, Brno, Czech Republic.
Department of Neurology, Brno Epilepsy Center, St. Anne's University Hospital and Medical Faculty of Masaryk University, Pekařská 53, Brno, 656 91, Czech Republic.
Sci Rep. 2021 May 25;11(1):10904. doi: 10.1038/s41598-021-89774-4.
Drug-resistant epilepsy is a diagnostic and therapeutic challenge, mainly in patients with negative MRI findings. State-of-the-art imaging methods complement standard epilepsy protocols with new information and help epileptologists to increase the reliability of their decisions. In this study, we investigate whether arterial spin labeling (ASL) perfusion MRI can help localize the epileptogenic zone (EZ). To that end, we developed an image processing method to detect the EZ as an area with hypoperfusion relative to the contralateral unaffected side, using subject-specific thresholding of the asymmetry index in ASL images. We demonstrated three thresholding criteria (termed minimal product criterion, minimal distance criterion, and elbow criterion) on 29 patients with MRI-negative epilepsy (age 32.98 ± 10.4 years). The minimal product criterion showed optimal results in terms of positive predictive value (mean 0.12 in postoperative group and 0.22 in preoperative group) and true positive rate (mean 0.71 in postoperative group and 1.82 in preoperative group). Additionally, we found high accuracy in determining the EZ side (mean 0.86 in postoperative group and 0.73 in preoperative group out of 1.00). ASL can be easily incorporated into the standard presurgical MR protocol, and it provides an additional benefit in EZ localization.
耐药性癫痫是一种诊断和治疗上的挑战,主要存在于 MRI 检查结果阴性的患者中。最先进的成像方法通过提供新的信息补充了标准的癫痫协议,帮助癫痫学家提高决策的可靠性。在这项研究中,我们研究了动脉自旋标记(ASL)灌注 MRI 是否可以帮助定位致痫区(EZ)。为此,我们开发了一种图像处理方法,通过对 ASL 图像的不对称指数进行基于个体的阈值处理,将 EZ 检测为相对于对侧未受影响侧灌注不足的区域。我们在 29 名 MRI 阴性癫痫患者(年龄 32.98 ± 10.4 岁)上验证了三种阈值标准(称为最小乘积标准、最小距离标准和肘标准)。最小乘积标准在阳性预测值(术后组平均为 0.12,术前组平均为 0.22)和真阳性率(术后组平均为 0.71,术前组平均为 1.82)方面表现出最佳效果。此外,我们发现,在确定 EZ 侧方面具有很高的准确性(术后组平均为 0.86,术前组平均为 0.73,1.00 为满分)。ASL 可以很容易地纳入标准的术前 MRI 协议中,并在 EZ 定位方面提供额外的益处。