UnknownNot Applicable

Deep Learning of Anterior Talofibular Ligament: Comparison of Different Models

China1,000 participantsStarted 2021-01-01

Plain-language summary

The purpose of this study is to study the injury of the anterior talofibular ligament by deep learning method and compare a variety of different deep learning models to establish a deep learning method that can accurately identify and grade the injury of anterior talofibular ligament, and obtain a model with better recognition and grading effect.

Who can participate

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

. Without any treatment before imaging examination;
. MR of ankle joint was performed within 3 months before operation and the image quality was good;
. Arthroscopic operation was performed in our hospital and the operation records were complete.

Exclusion criteria

. history of ankle surgery, history of cancer or previous fractures.
. Unclear image, serious artifact or incomplete clinical data.

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

Deep Learning of Anterior Talofibular Ligament: Comparison of Different Models

Timeframe: 2021.1-2022.3.1

Trial details

NCT IDNCT04955067

SponsorPeking University Third Hospital

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2021-12-30

Contact for this trial

huishu Yuan, MD

15810245738 huishuy@bjmu.edu.cn

View on ClinicalTrials.gov More Lateral Ligament, Ankle trials