CompletedNot Applicable

A Deep Learning Framework for Pediatric TLE Detection Using 18F-FDG-PET Imaging

China201 participantsStarted 2018-06-01

Plain-language summary

This study aims to use radiomics analysis and deep learning approaches for seizure focus detection in pediatric patients with temporal lobe epilepsy (TLE). Ten positron emission tomograph (PET) radiomics features related to pediatric temporal bole epilepsy are extracted and modelled, and the Siamese network is trained to automatically locate epileptogenic zones for assistance of diagnosis.

Who can participate

Age range

6 Years – 18 Years

Sex

ALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

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.

Questions worth asking your doctor

Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.

1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?

Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.

Questions for the trial coordinator

The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.

1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?

A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.

What they're measuring

The 'area under curve' (AUC ) of our model in detection performance

Timeframe: Through study completion, about 1 year

Trial details

NCT IDNCT04169581

SponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2019-02-28

View on ClinicalTrials.gov More Epilepsy, Temporal Lobe trials