基于18F-FDG PET/ mr的个体代谢网络分析在颞叶和颞外叶难治性癫痫预后评估中的应用

Siqi Zhang, Weizhao Lu, Chenyang Yao, Jingjuan Wang, Bixiao Cui, Jie Lu
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引用次数: 0

摘要

背景与目的:本研究旨在利用个体特异性代谢网络(ISMN)评估难治性颞叶和颞叶外癫痫(TLE/ETLE)的预后,基于18F-FDG PET/MR葡萄糖代谢模式分析患者的同质性和异质性,并探讨其与手术结果的关系。材料与方法:回顾性分析顽固性癫痫手术患者的临床和18F-FDG PET/MR资料。健康控制为网络建设提供了参考。根据手术和病理确定的致痫区将患者分为TLE和ETLE。比较患者和对照组、TLE组和ETLE组的ISMN淋巴结和边缘特征。研究了网络特性与临床变量之间的关系。利用节点和边缘特征的线性分类器预测手术结果。结果:从TLE组(n = 39)、ETLE组(n = 33)和健康对照组(n = 68)共收集到f - fdg PET/MR图像18F-FDG,再分为参照组(n = 46)和对照组(n = 22)。TLE和ETLE均显示右侧颞下回和颞下回的结度增加,而右侧颞前腹区与颞极之间的边缘连接减少。ETLE表现出更广泛、更波动的ISMN改变,具有更强的临床相关性。ISMN特征强烈预测术后预后,边缘特征影响TLE,而节点特征是ETLE的关键。结论:ISMN分析强调了代谢网络对难治性癫痫预后的贡献,揭示了TLE和ETLE中独特而共有的病理生理机制,以指导个性化治疗。缩写:TLE=颞叶癫痫;颞外叶癫痫;抗癫痫药;SEEG = stereoelectroencephalography;个人特定网络;SUVR=标准化吸收值比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
18F-FDG PET/MR-Based Individual Metabolic Network Analysis for Prognosis Assessment in Temporal and Extratemporal Lobe Refractory Epilepsy.

Background and purpose: This study aimed to employ the Individual-Specific Metabolic Network (ISMN) for prognosis assessment in refractory temporal and extratemporal lobe epilepsy (TLE/ETLE), analyzing homogeneity and heterogeneity among patients based on glucose metabolism patterns from 18F-FDG PET/MR and exploring their association with surgical outcomes.

Materials and methods: Clinical and 18F-FDG PET/MR data were retrospectively reviewed from patients with refractory epilepsy who underwent surgical resection. Healthy controls served as references for network construction. Patients were categorized into TLE and ETLE based on the epileptogenic zone determined by surgery and pathology. ISMN nodal and edge characteristics were compared between patients and controls, as well as between TLE and ETLE. Associations between network properties and clinical variables were examined. A linear classifier using nodal and edge features predicted surgical outcomes.

Results: 18F-FDG PET/MR images were collected from TLE (n = 39), ETLE (n = 33), and healthy controls (n = 68), subdivided into reference (n = 46) and control (n = 22) groups. TLE and ETLE showed increased node degrees in the right angular and inferior temporal gyri but reduced edge connectivity between the right anterior ventral temporal region and temporal pole. ETLE exhibited broader, more fluctuating ISMN alterations with stronger clinical correlations. ISMN features strongly predicted postoperative outcomes, with edge features influencing TLE, while node features were key in ETLE.

Conclusions: ISMN analysis highlights metabolic network contributions to refractory epilepsy prognosis, uncovering distinct and shared pathophysiological mechanisms in TLE and ETLE to guide personalized therapy.

Abbreviations: TLE= temporal lobe epilepsy; ETLE= extratemporal lobe epilepsy; AEDs= anti-epileptic drugs; SEEG= stereoelectroencephalography; ISMN= individual-specific network; SUVR= standardized uptake value ratio.

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