Tumors affect the metabolic connectivity of the human brain measured by 18F-FDG PET Journal Article
| Authors: | Pasquini, L.; Jenabi, M.; Graham, M.; Peck, K. K.; Schöder, H.; Holodny, A. I.; Krebs, S. |
| Article Title: | Tumors affect the metabolic connectivity of the human brain measured by 18F-FDG PET |
| Abstract: | Purpose 18F-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 18F-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. Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved. |
| Keywords: | adult; clinical article; controlled study; aged; middle aged; retrospective studies; histopathology; nuclear magnetic resonance imaging; positron emission tomography; brain tumor; glioma; brain neoplasms; magnetic resonance imaging; metabolism; diagnostic imaging; retrospective study; karnofsky performance status; brain; temporal lobe; fluorodeoxyglucose f 18; fluorodeoxyglucose f18; positron-emission tomography; clinical evaluation; brain metastasis; glucose; cross-sectional study; frontal lobe; left hemisphere; graph theory; pet; brain function; leukoencephalopathy; radiation necrosis; nerve cell network; parietal lobe; hemisphere; plasticity; glucose metabolism; brain metabolism; occipital lobe; functional connectivity; humans; human; male; female; article; x-ray computed tomography; betweenness centrality; metabolic connectivity |
| Journal Title: | Clinical Nuclear Medicine |
| Volume: | 49 |
| Issue: | 9 |
| ISSN: | 0363-9762 |
| Publisher: | Lippincott Williams & Wilkins |
| Date Published: | 2024-09-01 |
| Start Page: | 822 |
| End Page: | 829 |
| Language: | English |
| DOI: | 10.1097/rlu.0000000000005227 |
| PUBMED: | 38693648 |
| PROVIDER: | scopus |
| PMCID: | PMC11300165 |
| DOI/URL: | |
| Notes: | The MSK Cancer Center Support Grant (P30 CA008748) is acknowledge in the PDF -- Corresponding authors is MSK author: Luca Pasquini -- Source: Scopus |
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