肿瘤通过 18F-FDG PET 测量影响人类大脑的代谢连通性。

Tumors Affect the Metabolic Connectivity of the Human Brain Measured by 18 F-FDG PET.

机构信息

From the Department of Radiology.

Department of Medical Physics, Memorial Sloan Kettering Cancer Center.

出版信息

Clin Nucl Med. 2024 Sep 1;49(9):822-829. doi: 10.1097/RLU.0000000000005227. Epub 2024 May 1.

DOI:10.1097/RLU.0000000000005227

PMID:38693648

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11300165/

Abstract

PURPOSE

18 F-FDG PET captures the relationship between glucose metabolism and synaptic activity, allowing for modeling brain function through metabolic connectivity. We investigated tumor-induced modifications of brain metabolic connectivity.

PATIENTS AND METHODS

Forty-three patients with left hemispheric tumors and 18 F-FDG PET/MRI were retrospectively recruited. We included 37 healthy controls (HCs) from the database CERMEP-IDB-MRXFDG. We analyzed the whole brain and right versus left hemispheres connectivity in patients and HC, frontal versus temporal tumors, active tumors versus radiation necrosis, and patients with high Karnofsky performance score (KPS = 100) versus low KPS (KPS < 70). Results were compared with 2-sided t test ( P < 0.05).

RESULTS

Twenty high-grade glioma, 4 low-grade glioma, and 19 metastases were included. The patients' whole-brain network displayed lower connectivity metrics compared with HC ( P < 0.001), except assortativity and betweenness centrality ( P = 0.001). The patients' left hemispheres showed decreased similarity, and lower connectivity metrics compared with the right ( P < 0.01), with the exception of betweenness centrality ( P = 0.002). HC did not show significant hemispheric differences. Frontal tumors showed higher connectivity metrics ( P < 0.001) than temporal tumors, but lower betweenness centrality ( P = 4.5 -7 ). Patients with high KPS showed higher distance local efficiency ( P = 0.01), rich club coefficient ( P = 0.0048), clustering coefficient ( P = 0.00032), betweenness centrality ( P = 0.008), and similarity ( P = 0.0027) compared with low KPS. Patients with active tumor(s) (14/43) demonstrated significantly lower connectivity metrics compared with necroses.

CONCLUSIONS

Tumors cause reorganization of metabolic brain networks, characterized by formation of new connections and decreased centrality. Patients with frontal tumors retained a more efficient, centralized, and segregated network than patients with temporal tumors. Stronger metabolic connectivity was associated with higher KPS.

摘要

目的

18 F-FDG PET 捕捉葡萄糖代谢与突触活动之间的关系，从而通过代谢连接进行脑功能建模。我们研究了肿瘤引起的脑代谢连接变化。

患者和方法

回顾性招募了 43 名左侧半球肿瘤和 18 F-FDG PET/MRI 的患者。我们从数据库 CERMEP-IDB-MRXFDG 中纳入了 37 名健康对照者（HC）。我们分析了患者和 HC 的全脑以及右侧与左侧半球的连接、额叶与颞叶肿瘤、活性肿瘤与放射性坏死、高 Karnofsky 表现评分（KPS = 100）与低 KPS（KPS < 70）的患者的连接。结果与双侧 t 检验进行比较（P < 0.05）。

结果

包括 20 例高级别胶质瘤、4 例低级别胶质瘤和 19 例转移瘤。与 HC 相比，患者的全脑网络连接指标较低（P < 0.001），但关联性和介数中心性除外（P = 0.001）。与右侧半球相比，患者的左侧半球相似性和连接指标降低（P < 0.01），但介数中心性除外（P = 0.002）。HC 未显示出明显的半球差异。与颞叶肿瘤相比，额叶肿瘤的连接指标更高（P < 0.001），但介数中心性较低（P = 4.5-7）。KPS 较高的患者距离局部效率（P = 0.01）、丰富俱乐部系数（P = 0.0048）、聚类系数（P = 0.00032）、介数中心性（P = 0.008）和相似性（P = 0.0027）更高。与坏死相比，有活动性肿瘤（14/43）的患者的连接指标明显较低。