Department of Nuclear Medicine, 3rd Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Department of Medical Imaging, 2nd Hospital of Hebei Medical University, Shijiazhuang, Hebei, China (mainland).
Med Sci Monit. 2018 Mar 13;24:1494-1501. doi: 10.12659/msm.908437.
BACKGROUND This study aimed to investigate the added value of NeuroGam software analysis in the localization diagnosis of epileptogenic zone during interictal phase of seizures. MATERIAL AND METHODS The clinical data of 67 patients, clinically diagnosed as epilepsy, were analyzed retrospectively. Visual analysis and NeuroGam software analysis were used for independent analysis. The 2 methods were used to compare the efficacy indicator of the diagnosis of epileptogenic zone, and the receiver operating characteristic (ROC) curve evaluated the diagnostic efficacy. RESULTS Through the final clinical diagnostic comprehensive localization, among 67 epilepsy patients, the epileptogenic zone in 51 cases could be located distinctly, and those in 16 cases could not be located. Compared to the visual analysis, the NeuroGam software analysis was more sensitive in the location of epileptogenic zone (χ²=4.876, P=0.027). The area under the ROC curve (AUC) and 95% confidence interval (CI) of the NeuroGam software and visual analyses was 0.760 and 0.689, (0.613, 0.908) and (0.547, 0.832), respectively. However, the consistency of the 2 methods was poor (Kappa=0.367, P=0.001). Compared to visual analysis, the NeuroGam software analysis exerted more advantages in the localization diagnosis of the epileptogenic zone (P<0.001). CONCLUSIONS In the location diagnosis of brain perfusion, single photon emission computed tomography (SPECT) epileptogenic zone was used in interictal phase of seizures, and NeuroGam software analysis exerted a distinct added value for visual analysis.
背景 本研究旨在探讨在发作间期NeuroGam 软件分析对致痫灶定位诊断的附加价值。
材料和方法 回顾性分析 67 例临床诊断为癫痫的患者的临床资料。采用视觉分析和 NeuroGam 软件分析进行独立分析。比较两种方法诊断致痫灶的疗效指标,并用受试者工作特征(ROC)曲线评估诊断效能。
结果 通过最终的临床诊断综合定位,在 67 例癫痫患者中,51 例明确定位致痫区,16 例无法定位。与视觉分析相比,NeuroGam 软件分析在致痫区定位上更敏感(χ²=4.876,P=0.027)。NeuroGam 软件和视觉分析的 ROC 曲线下面积(AUC)及其 95%置信区间(CI)分别为 0.760 和 0.689,(0.613,0.908)和(0.547,0.832)。然而,两种方法的一致性较差(Kappa=0.367,P=0.001)。与视觉分析相比,NeuroGam 软件分析在致痫区定位诊断中具有更大的优势(P<0.001)。
结论 在发作间期单光子发射计算机断层扫描(SPECT)致痫灶定位诊断中,NeuroGam 软件分析对视觉分析具有明显的附加价值。