NCT06372873

Deep-learning For Ultrasound Classification of Anterior Talofibular Ligament Injury

Deep Learning-enabled Ultrasound Classification of Anterior Talofibular Ligament Injury in China: A Retrospective, Multicentre, Diagnostic Study

• Status: Active Not Recruiting
• Phase: —
• Study type: Observational
• Enrollment: 3,000 (estimated)
• Sponsor: Peking University People's Hospital · Academic / Other
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Not accepted

Summary

Ultrasound (US) is a more cost-effective, accessible, and available imaging technique to assess anterior talofibular ligament (ATFL) injuries compared with magnetic resonance imaging (MRI). However, challenges in using this technique and increasing demand on qualified musculoskeletal (MSK) radiologists delay the diagnosis. Using datasets from multiple clinical centers, the investigators aimed to develop and validate a deep convolutional network (DCNN) model that automates classification of ATFL injuries using US images with the goal of providing interpretable assistance to radiologists and facilitating a more accurate diagnosis of ATFL injuries. The investigators collected US images of ATFL injuries which had arthroscopic surgery results as reference standard form 13 hospitals across China;Then the investigators divided the images into training dataset, internal validation dataset, and external validation dataset in a ratio of 8:1:1; the investigators chose an optimal DCNN model to test its diagnostic performance of the model, including the diagnostic accuracy, sensitivity, specificity, F1 score. At last, the investigators compared the diagnostic performance of the model with 12 radiologists at different levels of expertise.

Conditions

• Deep Learning
• Ultrasound
• Anterior Talofibular Ligament

Interventions

Type	Name	Description
OTHER	re-evaluate by two senior radiologists in our medical center	The allocated images obtained from the contributing hospitals will be re-evaluated by two senior radiologists in our clinical center

Timeline

• Start date: 2024-04-01
• Primary completion: 2024-04-30
• Completion: 2025-05-30
• First posted: 2024-04-18
• Last updated: 2024-04-23

Locations

1 site across 1 country: China