全脑葡萄糖代谢模式区分最小意识状态与不响应的清醒综合征
Kun Guo1, Qi Zhang2, Zhiyong Quan1
1Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
CNS neuroscience & therapeutics
|June 19, 2024
概括
区分最小意识状态 (MCS) 和不响应觉醒综合征 (UWS) 是一个挑战. 这项研究发现,使用18F-FDG-PET的葡萄糖代谢模式 (GMP) 可以将MCS与UWS区分开来,有助于诊断和预测结果.
科学领域:
- 神经科学是一个神经科学.
- 医疗成像医学成像
- 神经学 神经学
背景情况:
- 区分最小意识状态 (MCS) 与不响应的清醒综合征 (UWS) 对于患者的管理和预后至关重要.
- 患有MCS的患者可能会受益于旨在改善意识和生活质量的干预措施.
- 在UWS和MCS之间进行准确的诊断仍然是一个临床挑战.
研究的目的:
- 探索18F-氧葡萄糖正子发射断层扫描 (18F-FDG-PET) 衍生的葡萄糖代谢模式 (GMP) 在区分UWS和MCS的实用性.
- 将GMP的诊断性能与传统的标准化吸收值比率 (SUVR) 方法进行比较.
- 通过将其与临床结果相关联来验证GMP的诊断效率.
主要方法:
- 57名有意识障碍的患者 (21名UWS,36名MCS) 进行了反复的昏迷恢复量表修订 (CRS-R) 评估.
- 在所有患者和健康对照组 (HCs) 上进行了18F-FDG-PET扫描.
- 基于Voxel的缩放子概况模型/主要组件分析 (SSM/PCA) 用于生成GMP,并将表达分数与SUVR进行比较.
主要成果:
- 在UWS-MCS患者中,GMP揭示了前额外外皮层中明显的低代谢和单侧晶状核,门和前带带状回形中高代谢.
- UWS-MCS-GMP表达分数显著区分了UWS与MCS患者 (p < 0.001) 的差异,AUC为0.77,优于SUVR (AUC = 0.623).
- UWS-MCS-GMP表达分数与CRS-R分数相关 (r = -0.45,p = 0.004) 并预测了73.7%的患者的一年结果.
结论:
- 通过18F-FDG-PET识别的特定葡萄糖代谢模式可以区分UWS和MCS.
- 从SSM/PCA获得的UWS-MCS-GMP表达分数显示出显著的诊断价值.
- 对GMP的SSM/PCA分析代表了对意识障碍的临床诊断的一个有希望的工具.
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