Spatiotemporal Dynamics and Prognostic Value of the 18F-FDG PET Neuro-Metabolic Network
NCT ID: NCT07203495
Last Updated: 2025-10-02
Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
200 participants
OBSERVATIONAL
2025-06-01
2027-12-31
Brief Summary
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1. the dynamic metabolic alterations of specific brain regions,
2. the spatiotemporal associations between cerebral metabolism and systemic disease progression,
3. the prognostic value of neuro-metabolic parameters. Participants will undergo 18F-FDG PET/CT imaging, clinical assessments, and longitudinal follow-up to evaluate outcomes such as tumor recurrence, metastasis, and survival.
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Detailed Description
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Despite these advances, three major limitations remain:
1. most studies focus on single organ axes, lacking integrative dynamic network analyses across multiple axes;
2. conventional static SUV metrics cannot capture the spatiotemporal evolution of metabolic pathways, while advanced dynamic PET approaches remain underutilized in clinical practice;
3. prognostic models often rely on single-modality parameters, ignoring the added value of multimodal integration, as shown by recent evidence combining DWI-derived ADC values with PET metabolic parameters to enhance prognostic accuracy in NSCLC.
Therefore, this prospective cohort study will systematically map neuro-metabolic remodeling patterns of brain-organ axis diseases using 18F-FDG PET imaging, and establish metabolism-based prognostic stratification models.
Objectives:
To characterize the dynamic cerebral metabolic alterations in patients with lung, gastrointestinal, or endocrine diseases.
To explore the spatiotemporal associations between specific brain region metabolism and disease progression.
To assess the prognostic value of cerebral metabolic parameters for clinical outcomes.
Primary Outcomes:
The primary outcomes include tumor recurrence, metastasis, and death. All events will be adjudicated by at least two independent clinicians based on comprehensive clinical information and professional expertise. The number and timing of outcome events will be recorded at the end of follow-up for each participant.
Conditions
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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Control Group
Individuals aged 18-75 years who, based on medical history, physical examination, laboratory testing, and imaging assessments, are confirmed to be free of target diseases and related complications. This group may include healthy volunteers or individuals recruited from health check-up populations.
No interventions assigned to this group
Disease Group
Patients aged 18-75 years with a confirmed diagnosis of lung, gastrointestinal, or endocrine diseases. Participants with organic brain lesions (e.g., stroke, Alzheimer's disease, Parkinson's disease) or psychiatric disorders (e.g., depression, anxiety, schizophrenia), or other conditions that may affect cerebral metabolism or prognosis, will be excluded.
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
Disease Group: Patients aged 18-75 years with a confirmed diagnosis of lung, gastrointestinal, or endocrine diseases.
Exclusion Criteria
History of psychiatric disorders such as depression, anxiety, or schizophrenia, or other conditions that may affect cerebral metabolic imaging or prognosis.
18 Years
75 Years
ALL
Yes
Sponsors
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The First Affiliated Hospital of Zhengzhou University
OTHER
Responsible Party
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yujie bai
Attending Physician
Locations
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The First Affiliated Hospital of Zhengzhou University
Zhengzhou, Henan, China
Countries
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References
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Valenza G, Matic Z, Catrambone V. The brain-heart axis: integrative cooperation of neural, mechanical and biochemical pathways. Nat Rev Cardiol. 2025 Aug;22(8):537-550. doi: 10.1038/s41569-025-01140-3. Epub 2025 Mar 3.
Zhong T, Duan Y, Li K, Qiu J, Cheng Z, Lu W. Directional interactions from non-small cell lung cancer to brain glucose metabolism revealed by total-body PET imaging. Eur J Nucl Med Mol Imaging. 2025 Oct;52(12):4467-4476. doi: 10.1007/s00259-025-07324-w. Epub 2025 May 9.
Tricarico P, Chardin D, Martin N, Contu S, Hugonnet F, Otto J, Humbert O. Total metabolic tumor volume on 18F-FDG PET/CT is a game-changer for patients with metastatic lung cancer treated with immunotherapy. J Immunother Cancer. 2024 Apr 22;12(4):e007628. doi: 10.1136/jitc-2023-007628.
Eze C, Schmidt-Hegemann NS, Sawicki LM, Kirchner J, Roengvoraphoj O, Kasmann L, Mittlmeier LM, Kunz WG, Tufman A, Dinkel J, Ricke J, Belka C, Manapov F, Unterrainer M. PET/CT imaging for evaluation of multimodal treatment efficacy and toxicity in advanced NSCLC-current state and future directions. Eur J Nucl Med Mol Imaging. 2021 Nov;48(12):3975-3989. doi: 10.1007/s00259-021-05211-8. Epub 2021 Mar 24.
Other Identifiers
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2025-KY-1046
Identifier Type: -
Identifier Source: org_study_id
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