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首页> 外文期刊>The Journal of Nuclear Medicine >Voxel-Based Analysis of Asymmetry Index Maps Increases the Specificity of 18F-MPPF PET Abnormalities for Localizing the Epileptogenic Zone in Temporal Lobe Epilepsies
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Voxel-Based Analysis of Asymmetry Index Maps Increases the Specificity of 18F-MPPF PET Abnormalities for Localizing the Epileptogenic Zone in Temporal Lobe Epilepsies

机译:基于体素的不对称指数图分析增加了18F-MPPF PET异常在颞叶癫痫中定位致痫区的特异性

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18F-4-(2a€2-methoxyphenyl)-1-[2a€2-(N-2-pyridinyl)-p-fluorobenzamido]-ethyl-piperazine (18F-MPPF) PET has proved to be a sensitive technique in the presurgical evaluation of patients with drug-resistant temporal lobe epilepsy (TLE), but a significant proportion of visually detected abnormalities failed to be detected by standard statistical parametric mapping (SPM) analysis. This study aimed at describing a voxel-based method for computing interhemispheric asymmetric index (AI) using statistical software and applying and validating the clinical relevance of this method for analyzing asymmetries of 18F-MPPF PET images in patients with drug-resistant TLE. Methods: 18F-MPPF PET scans of 24 TLE patients who achieved an Engel class I outcome after epilepsy surgery and of 41 controls were analyzed visually, with standard SPM, and by computing voxel-based AIs. Both SPM methods were assessed using 2 different statistical thresholds (P 0.05, corrected at the cluster level, and P 0.05, familywise error (FWE) corrected at the voxel level). Sensitivity and specificity of each method were estimated and compared using McNemar tests. Results: The sensitivity of AI analysis to detect decreases of 18F-MPPF binding potential ipsilateral to the epileptogenic lobe was 92% (P 0.05, corrected at the cluster level) and 96% (P 0.05, familywise error corrected at the voxel level), whereas specificity (defined as the congruence between the localization of the voxel associated with the greatest z score and that of the epileptogenic zone) was 88% at both thresholds. AI analysis was significantly more sensitive (P 0.05) and specific (P 0.005) than standard SPM analysis, regardless of the applied threshold. AI analysis also proved to be more sensitive than visual analysis. Conclusion: AI analysis of 18F-MPPF PET was more sensitive and specific than previous methods of analysis. This noninvasive imaging procedure was especially informative for the presurgical assessment of patients presenting with clinical histories atypical of mesial TLE or with normal brain MRI results.
机译:18F-4-(2a€2-甲氧基苯基)-1- [2a€2-(N-2-吡啶基)-对氟苯甲酰胺基]-乙基哌嗪(18F-MPPF)PET已被证明是一种敏感的技术耐药性颞叶癫痫(TLE)患者的术前评估,但是通过标准统计参数映射(SPM)分析未能检测到很大一部分视觉检测到的异常。这项研究旨在描述使用统计软件基于体素的方法计算半球不对称指数(AI)的方法,并应用和验证该方法用于分析耐药性TLE患者的18F-MPPF PET图像不对称性的临床意义。方法:采用标准SPM并通过计算基于体素的AI,对24例癫痫手术后达到Engel I类预后的TLE患者和41名对照进行18F-MPPF PET扫描。两种SPM方法均使用2个不同的统计阈值进行评估(P <0.05,在聚类水平校正,P <0.05,在体素水平校正的家庭误差(FWE))。使用McNemar测试评估并比较了每种方法的敏感性和特异性。结果:AI分析检测同侧与癫痫病灶同侧18F-MPPF结合电位降低的敏感性分别为92%(P <0.05,在簇水平校正)和96%(P <0.05,在体素水平校正家庭误差) ),而特异性(定义为与最大z得分相关的体素的位置与癫痫发生区的位置之间的一致性)在两个阈值处均为88%。无论采用何种阈值,AI分析的敏感性(P <0.05)和特异性(P <0.005)均显着高于标准SPM分析。 AI分析也被证明比视觉分析更为敏感。结论:18F-MPPF PET的AI分析比以前的分析方法更加灵敏和特异。这种无创成像方法对于表现出非典型性中TLE病史或脑MRI结果正常的患者的术前评估尤其有用。

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