The Diagnostic Value of 18F-FDG PET in Parkinson Disease Based on Voxel Analysis.

IF 1 4区医学 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

Journal of Computer Assisted Tomography Pub Date : 2025-06-20 DOI:10.1097/RCT.0000000000001763

Bing Han, Jifeng Zhang, Dongxue Wang, Lili Liu, Yong Wan, Wei Yuan, Yipeng Li, Yuhang Zhang, Ping Li

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引用次数: 0

Abstract

Purpose: To evaluate the accuracy of statistical parametric mapping (SPM) and Scenium in the differential diagnosis of Parkinson disease (PD) and atypical Parkinsonian syndromes based on 18F-fluoro-deoxy-glucose (18F-FDG) imaging, and to explore the application of these 2 software programs in analyzing patients with Parkinson disease of varying severity, as well as to construct and evaluate the metabolic profiles of PD patients using Scenium.

Methods: A total of 64 patients with Parkinsonian syndrome who met the diagnostic criteria were included in this study. PET images were used for disease diagnosis with SPM and Scenium based on diagnostic charts, and the diagnostic accuracy of both software programs was assessed through consistency analysis. Meanwhile, an in-depth analysis was performed to compare the sensitivity, specificity, positive predictive value, and negative predictive value of the 2 software programs. In addition, Scenium was used to construct a diagnostic model for PD.

Results: SPM demonstrated greater accuracy in distinguishing between PD and APS, with a significantly higher Kappa value (K_spm=0.704) compared with Scenium (K_scenium=0.440). The sensitivity and specificity of SPM were 82.5% and 91.7%, respectively. Further, a PD diagnostic model was constructed by incorporating PET parameters from the contralateral central region and basal ganglia, achieving a diagnostic accuracy of 82.9%.

Conclusions: SPM can more accurately differentiate the diagnosis of Parkinson disease from atypical Parkinson syndrome compared with Scenium.

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基于体素分析的18F-FDG PET对帕金森病的诊断价值

目的：评价统计参数制图（SPM）和Scenium在基于18f -氟-deoxy-葡萄糖（18F-FDG）成像的帕金森病（PD）和非典型帕金森综合征鉴别诊断中的准确性，探讨这两个软件程序在不同严重程度帕金森病患者分析中的应用，并利用Scenium构建和评价PD患者的代谢谱。方法：选取符合诊断标准的64例帕金森综合征患者。基于诊断图表，采用PET图像对SPM和Scenium进行疾病诊断，通过一致性分析评估两种软件程序的诊断准确性。同时，深入分析比较两种软件程序的敏感性、特异性、阳性预测值和阴性预测值。此外，应用Scenium构建PD诊断模型。结果：SPM对PD和APS的鉴别准确度更高，Kappa值（K_spm=0.704）明显高于Scenium （K_scenium=0.440）。SPM的敏感性为82.5%，特异性为91.7%。进一步，结合对侧中央区域和基底节区的PET参数构建PD诊断模型，诊断准确率达到82.9%。结论：与Scenium相比，SPM能更准确地鉴别帕金森病与非典型帕金森综合征。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computer Assisted Tomography 医学-核医学

CiteScore

2.50

自引率

0.00%

发文量

230

审稿时长

4-8 weeks

期刊介绍： The mission of Journal of Computer Assisted Tomography is to showcase the latest clinical and research developments in CT, MR, and closely related diagnostic techniques. We encourage submission of both original research and review articles that have immediate or promissory clinical applications. Topics of special interest include: 1) functional MR and CT of the brain and body; 2) advanced/innovative MRI techniques (diffusion, perfusion, rapid scanning); and 3) advanced/innovative CT techniques (perfusion, multi-energy, dose-reduction, and processing).