Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
COMPLETED
NA
41 participants
INTERVENTIONAL
2014-09-15
2017-07-06
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
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.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Discard the Curative Causes of Late Onset Epilepsy: the Role of Brain 18F-FDG PET
NCT05831371
The Role of Imaging in the Diagnosis, Management and Prognosis of Possible Non-convulsive Status Epilepticus
NCT06017973
Serum Profile of Inflammatory Factors, Immune and Angiogenic in Temporal Lobe Epilepsy
NCT01563627
18F-FDG PET Imaging Analysis of Antiepileptic Drug Response in BECTS
NCT04357236
Metabolic Abnormalities in Children With Epilepsy
NCT00001325
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NON_RANDOMIZED
SEQUENTIAL
TREATMENT
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
PET [18F] FDG
Each 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.
PET [18F] FDG
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.
Anatomical MRI
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.
Review test-retest
Of the 40 volunteers included, 10 will have test-retest exams (2 separate exams every 15 days).
PET [18F] FDG
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.
Anatomical MRI
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.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
PET [18F] FDG
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.
Anatomical MRI
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
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
* Age 20-65 years
* Signed informed consent form.
Exclusion Criteria
* Known neurological disease
* Adult subject to legal protection measure.
* Women of childbearing age who do not have effective contraception
20 Years
65 Years
ALL
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Hospices Civils de Lyon
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Julien JUNG, MD
Role: PRINCIPAL_INVESTIGATOR
Hospices Civils de Lyon
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Hospices Civils de Lyon
Bron, , France
Countries
Review the countries where the study has at least one active or historical site.
References
Explore related publications, articles, or registry entries linked to this study.
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.
Merida 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.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
69HCL16_0689
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.