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NCT04958408

Deep Learning of Knee Joint MRI Intelligent Detection

Status unknown Last updated 12 July 2021
What this trial tests

trial in Knee Injuries in 50,000 participants. Status unknown.

Timeline
1 January 2021
Primary endpoint
31 December 2021
15 May 2022

Quick facts

Lead sponsorPeking University Third Hospital
StatusStatus unknown
Study typeOBSERVATIONAL
Enrollment50,000
Start date1 January 2021
Primary completion31 December 2021
Estimated completion15 May 2022
Sites1 location across China

Conditions studied

Sponsor

Peking University Third Hospital

Who can join

Eligibility, any sex, with Knee Injuries. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Knee joint is the most common part of sports injury. MRI is a powerful tool to diagnose knee joint injury. However, it takes a long time to read the film, needs a lot, and some hidden injuries have a high rate of missed diagnosis. The emerging deep learning technology can establish automatic recognition model through large samples. A large sample of knee joint MRI was collected retrospectively to train the deep learning model of knee joint MRI, and the sensitivity and specificity of the deep learning model were verified in multi center. Depending on the clinical needs, the deep learning model annotation system is established. A large number of knee MRI were obtained and labeled. According to the knee joint MRI training depth learning model, and iterative optimization, the final version is formed. Multi center validation was carried out. Continuous operation records and corresponding preoperative knee MRI were obtained from multiple hospitals. The sensitivity and specificity of the model were calculated with operation records as the gold standard. At the same time, an expert team composed of senior radiologists and sports medicine doctors was organized to read the films. The sensitivity and specificity of manual reading and AI reading were compared to prove the superiority of AI reading. This study can improve the efficiency of clinical MRI film reading, reduce the workload of doctors, improve the film reading level of grass-roots hospitals, promote the development of the discipline, and has good social benefits and market prospects.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Knee Injuries

Currently open trials in the same condition.

Other Peking University Third Hospital trials

Trials by the same sponsor.

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