(18)F-FDG PET Database of Adult Healthy Individuals
BDD-FDG
1 other identifier
interventional
41
1 country
1
Brief Summary
Epilepsy is the most common chronic neurological disorder in the world, affecting more than 50 million people worldwide. Approximately 35% of patients with epilepsy are refractory to all available antiepileptic drugs. Focal Hypometabolism on interictal \[18F\]-FDG PET is a hallmark of the Seizure Onset Zone as well as surrounding areas. Using \[18F\]-FDG PET is thus particularly useful to determine the seizure onset zone of epileptic patients and thus to guide surgical treatment when antiepileptic drugs fail. Interpretation of PET images primarily relies on standard visual analysis, but statistical analysis, with the widely used Statistical Parametric Mapping (SPM) software improves the diagnostic yield of PET. Over the past years, some authors have thus reported that the use of SPM can result in greater sensitivity and specificity of PET imaging in patients with partial epilepsy. In order to perform statistical analysis of PET images to compare brain metabolism of epileptic patients and healthy controls, it is necessary to collect a normative database of \[18F\]-FDG PET images in healthy controls. The purpose of this study is (i) collect a normative database of \[18F\]-FDG PET images in healthy adults controls to evaluate rigorously the diagnostic value of multimodal imaging for non-invasive localization of the EZ and (ii) to evaluate the test-retest reliability of \[18F\]-FDG PET scanning.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable healthy
Started Sep 2014
Longer than P75 for not_applicable healthy
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
September 15, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 16, 2015
CompletedFirst Submitted
Initial submission to the registry
February 23, 2017
CompletedFirst Posted
Study publicly available on registry
April 4, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
July 6, 2017
CompletedSeptember 15, 2025
September 1, 2025
1 year
February 23, 2017
September 9, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Glucose Metabolism of the whole brain estimated with [18F]-FDG PET in healthy controls.
40 healthy controls (age range 20-65 years) will undergo \[18F\]-FDG PET. The Glucose Metabolism for whole brain will be determined with \[18F\]-FDG PET for each subject.
Day 1
Secondary Outcomes (1)
Test-reliability
Week 2
Study Arms (2)
PET [18F] FDG
ACTIVE COMPARATOREach subject will have a PET scan at \[18F\] FDG.The raw imaging data obtained from these controls will be post-processed using the Statistical Parametric Mapping software. Schematically, the data of each control will be normalized in the same anatomical space, then smoothed and averaged between the different controls. This will make it possible to constitute the normative database.
Review test-retest
SHAM COMPARATOROf the 40 volunteers included, 10 will have test-retest exams (2 separate exams every 15 days).
Interventions
Measurement of carbohydrate metabolism at the individual level. Standardization of the individual imaging data in a standard anatomical space and then calculation of an average image through the group-level controls.
All subjects will benefit from a 3D anatomical MRI to control the normality of their MRI and an automatic segmentation of 73 brain regions by multi-atlas segmentation.
Eligibility Criteria
You may qualify if:
- healthy adult controls
- Age 20-65 years
- Signed informed consent form.
You may not qualify if:
- Contraindication to the MRI
- Known neurological disease
- Adult subject to legal protection measure.
- Women of childbearing age who do not have effective contraception
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Hospices Civils de Lyon
Bron, 69500, France
Related Publications (2)
Zotova D, Pinon N, Trombetta R, Bouet R, Jung J, Lartizien C. GAN-based synthetic FDG PET images from T1 brain MRI can serve to improve performance of deep unsupervised anomaly detection models. Comput Methods Programs Biomed. 2025 Jun;265:108727. doi: 10.1016/j.cmpb.2025.108727. Epub 2025 Mar 31.
PMID: 40187100BACKGROUNDMerida I, Jung J, Bouvard S, Le Bars D, Lancelot S, Lavenne F, Bouillot C, Redoute J, Hammers A, Costes N. CERMEP-IDB-MRXFDG: a database of 37 normal adult human brain [18F]FDG PET, T1 and FLAIR MRI, and CT images available for research. EJNMMI Res. 2021 Sep 16;11(1):91. doi: 10.1186/s13550-021-00830-6.
PMID: 34529159BACKGROUND
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Julien JUNG, MD
Hospices Civils de Lyon
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SEQUENTIAL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 23, 2017
First Posted
April 4, 2017
Study Start
September 15, 2014
Primary Completion
September 16, 2015
Study Completion
July 6, 2017
Last Updated
September 15, 2025
Record last verified: 2025-09
Data Sharing
- IPD Sharing
- Will not share