Evidence map›Paper›PMID 42432515›Full record

ArticleBMC medical imaging2026

Individualized metabolic brain network alterations in diffuse large B-cell lymphoma: an

Yelu Gu, Fan Yang, Hailun Zhang, Jingke Xiao, Jiangyan Liu

Abstract read
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Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yelu Gu *Department of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, 730030, China.
Fan Yang *Medical Imaging Center, Qingyang People's Hospital, Qingyang, Gansu, 745000, China.
Hailun ZhangDepartment of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, 730030, China.
Jingke XiaoDepartment of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, 730030, China.
Jiangyan LiuDepartment of Nuclear Medicine, Lanzhou University Second Hospital, Lanzhou, Gansu, 730030, China. ery_liujy@lzu.edu.cn.

Funding

National Natural Science Foundation of China 82460355the Science and Technology Program of Gansu Province 24JRRA922
6 · The paper itself

Abstract

objectiveTo investigate cross-sectional differences in individualized metabolic brain network topology between patients with diffuse large B-cell lymphoma (DLBCL) and healthy controls, and to explore the associations between network topology and cognitive performance.

methodsA total of 104 patients with DLBCL and 33 healthy controls were prospectively enrolled. All participants underwent whole-body

resultsWe included 137 participants: 104 patients (mean age, 55.6 ± 11.7 years; 57 males) and 33 healthy controls (mean age, 50.3 ± 11.8 years; 17 males). Compared with controls, both baseline and post-chemotherapy patients showed significantly lower MMSE and MoCA scores (P < 0.001). There were no significant differences in cognitive scale scores between the two patient groups. Meanwhile, all groups exhibited small-world properties (γ > 1, λ ≈ 1, σ > 1), with no significant differences in global network metrics (P > 0.05). At the nodal level, baseline patients showed increased nodal degree and efficiency specifically in frontal regions, and decreased betweenness centrality in bilateral parietal regions. In cross-sectional comparisons, post-chemotherapy patients exhibited decreased degree centrality and nodal efficiency in prefrontal regions compared with baseline. In contrast, temporal, occipital, and selected subcortical regions showed increased nodal degree or efficiency. Furthermore, nodal degree, efficiency, and betweenness centrality in these regions were significantly correlated with cognitive scores.

conclusionDLBCL patients maintained global network organization but demonstrated specific regional topological changes compared to healthy controls. The observed nodal differences between baseline and post-chemotherapy patients were correlated with cognitive performance. Individualized

Indexed as

BrainLymphoma, Large B-Cell, DiffusePositron Emission Tomography Computed TomographyAdultAgedCase-Control StudiesCognitionCross-Sectional StudiesFemaleFluorodeoxyglucose F18HumansMaleMiddle AgedProspective StudiesRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals18F-FDG PET/CTBrain metabolic networkChemotherapy-related cognitive impairmentDiffuse large B-cell lymphomaGraph theoryNeuropsychological assessment

Identifiers

PMID42432515
PMCPMC13640372

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.