- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04169581
A Deep Learning Framework for Pediatric TLE Detection Using 18F-FDG-PET Imaging
Symmetricity-Driven Learning Framework for Pediatric Temporal Lobe Epilepsy Detection Using 18F-FDG-PET Imaging
Study Overview
Status
Conditions
Detailed Description
Purpose:The key to successful epilepsy control involves locating epileptogenic focus before treatment. 18F-FDG PET has been considered as a powerful neuroimaging technology used by physicians to assess patients for epilepsy. However, imaging quality, viewing angles, and experiences may easily degrade the consistency in epilepsy diagnosis. In this work, the investigators develop a framework that combines radiomics analysis and deep learning techniques to a computer-assisted diagnosis (CAD) method to detect epileptic foci of pediatric patients with temporal lobe epilepsy (TLE) using PET images.
Methods:Ten PET radiomics features related to pediatric temporal bole epilepsy are first extracted and modelled. Then a neural network called Siamese network is trained to quanti-fy the asymmetricity and automatically locate epileptic focus for diagnosis.The performance of the proposed framework was tested and compared with both the state-of-art clinician software tool and human physicians with different levels of experiences to validate the accuracy and consistency.
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Zhejiang
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Hangzhou, Zhejiang, China, 310009
- Department of Nuclear Medicine and PET/CT Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Clinical diagnosis of temporal lobe epilepsy.
- Age range from six to eighteen years old.
- Underwent PET, EEG, computed tomography (CT) and MRI.
Exclusion Criteria:
- Image quality is unsatisfactory (e.g. severe image artifacts due to head movement).
- 18F-FDG PEG examination is negative.
- Clinical data is incomplete.
- EEG or MRI report is missing.
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Retrospective
Cohorts and Interventions
Group / Cohort |
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Experimental Group
The experimental group received 18F-FDG PET examination
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Control Group
The control group received 18F-FDG PET examination
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The 'area under curve' (AUC ) of our model in detection performance
Time Frame: Through study completion, about 1 year
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To evaluate the performance of our model, the investigators calculated the AUC of our model for normal or abnormal classification campared with different methods and and physicians with different levels.
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Through study completion, about 1 year
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
The 'dice similarity coefficient' (DSC) of our model in detection performance
Time Frame: Through study completion, about 3 months
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The accuracy of focus lesion detection is quantitatively measured through the metric of 'dice similarity coefficient' (DSC) by comparing the spatial overlap between the marked regions between the reference standard and the subject method under test.
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Through study completion, about 3 months
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Collaborators and Investigators
Publications and helpful links
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 2019-124
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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