Deep Learning of Anterior Talofibular Ligament: Comparison of Different Models
1 other identifier
observational
1,000
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jan 2021
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
January 1, 2021
CompletedFirst Submitted
Initial submission to the registry
June 28, 2021
CompletedFirst Posted
Study publicly available on registry
July 8, 2021
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 30, 2021
CompletedStudy Completion
Last participant's last visit for all outcomes
March 30, 2022
CompletedJuly 8, 2021
June 1, 2021
12 months
June 28, 2021
June 29, 2021
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Deep Learning of Anterior Talofibular Ligament: Comparison of Different Models
The model of deep learning was obtained for diagnosis and grading of anterior fibular ligament and compared with the doctors of different grades.
2021.1-2022.3.1
Study Arms (3)
Normal control group-Grade 0
Arthroscopic examination of the ankle joint was normal, and the ligament was intact without injury or tear.
Ligament injury -Grade 1
Arthroscopic examination of the ankle joint showed ligament degeneration or injury, but no local or complete tear.
Ligament tear-Grade 2
Arthroscopy of the ankle joint revealed partial or complete loss of ligaments.
Interventions
The results of hip arthroscopy were taken as the gold standard, and MRI examination was taken as the research object
Eligibility Criteria
From September 2018 to September 2020, patients underwent ankle MRI examination in the Department of Radiology, the Third Hospital of Peking University.
You may qualify if:
- 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.
You may not qualify if:
- history of ankle surgery, history of cancer or previous fractures.
- Unclear image, serious artifact or incomplete clinical data.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Peking University Third Hospital
Beijing, Beijing Municipality, 010, China
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- STUDY CHAIR
huishu Yuan, MD
Peking University Third Hospital
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE CONTROL
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
June 28, 2021
First Posted
July 8, 2021
Study Start
January 1, 2021
Primary Completion
December 30, 2021
Study Completion
March 30, 2022
Last Updated
July 8, 2021
Record last verified: 2021-06
Data Sharing
- IPD Sharing
- Will not share