Biomedical Engineering Department, Engineering Faculty, Shahed University, Tehran, Iran.
Isfahan Neuroscience Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
MAGMA. 2022 Apr;35(2):249-266. doi: 10.1007/s10334-021-00948-7. Epub 2021 Aug 4.
To develop a decision-making tool to evaluate and compare the performance of neuroimaging markers with clinical findings and the significance of attributes for presurgical lateralization of mesial temporal lobe epilepsy (mTLE).
Thirty-five unilateral mTLE patients who qualified as candidates for surgical resection were studied. Seizure semiology, ictal EEG, ictal epileptogenic zone, interictal-irritative zone, and MRI findings were used as clinical markers. Hippocampal T1 volumetry and FLAIR intensity, DTI estimated; mean diffusivity (MD) in the hippocampus and fractional anisotropy (FA) in posteroinferior cingulum and crus of fornix, and the output of logistic regression method on volumetrics of the hippocampus, amygdala, and thalamus were adopted as neuroimaging markers. The self-organizing map (SOM) method was applied to markers to provide predictive methods for mTLE lateralization.
The SOM clustered all clinical attributes correctly with 100% accuracy and sensitivity for both the left and right mTLE. Among the clinical markers, seizure semiology and interictal-irrelative zone are the most sensitive attribute for the left-mTLE group lateralization. The accuracy achieved by applying the SOM method to the neuroimaging attributes was 94%, while the sensitivity was achieved 90% for left and 100% for right mTLE. SOM evidence indicated that the hippocampal volume is the most sensitive attribute for the prediction of the laterality in left-mTLE groups.
The proposed SOM method showed that neuroimaging markers may not replace with clinical findings. Nevertheless, multimodal neuroimaging can play an effective role in preoperative lateralization to reduce the costs and risks of surgical resection.
开发一种决策工具,以评估和比较神经影像学标志物与临床发现的表现,并评估属性对内侧颞叶癫痫(mTLE)术前侧化的意义。
研究了 35 名符合手术切除条件的单侧 mTLE 患者。使用发作症状学、发作期脑电图、发作期致痫区、发作间期-刺激性区和 MRI 发现作为临床标志物。采用海马 T1 容积和 FLAIR 强度、DTI 估计;海马平均弥散度(MD)和后下扣带和穹窿脚纤维的分数各向异性(FA),以及逻辑回归方法对海马、杏仁核和丘脑容积的输出作为神经影像学标志物。自组织映射(SOM)方法应用于标志物,为 mTLE 侧化提供预测方法。
SOM 正确地对所有临床属性进行聚类,左、右 mTLE 的准确率和灵敏度均为 100%。在临床标志物中,发作症状学和发作间期-刺激性区是左 mTLE 组侧化最敏感的属性。SOM 方法应用于神经影像学属性的准确率为 94%,而左 mTLE 的灵敏度为 90%,右 mTLE 的灵敏度为 100%。SOM 证据表明,海马体积是预测左 mTLE 组侧化的最敏感属性。
所提出的 SOM 方法表明,神经影像学标志物可能无法替代临床发现。尽管如此,多模态神经影像学可以在术前侧化中发挥有效作用,降低手术切除的成本和风险。