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NCT04958408
Deep Learning of Knee Joint MRI Intelligent Detection
trial in Knee Injuries in 50,000 participants. Status unknown.
31 December 2021
Quick facts
| Lead sponsor | Peking University Third Hospital |
|---|---|
| Status | Status unknown |
| Study type | OBSERVATIONAL |
| Enrollment | 50,000 |
| Start date | 1 January 2021 |
| Primary completion | 31 December 2021 |
| Estimated completion | 15 May 2022 |
| Sites | 1 location across China |
Conditions studied
- Knee Injuries — all drugs for Knee Injuries →
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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- PubMed search for NCT04958408
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Other Peking University Third Hospital trials
Trials by the same sponsor.
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Verify against primary sources
- ClinicalTrials.gov — authoritative US registry record
- WHO ICTRP — international registry index
- EU Clinical Trials Register
- Sponsor press releases (Google)
- Trial protocol + status: ClinicalTrials.gov NCT04958408 (US National Library of Medicine, public domain)
- Drug + disease cross-links: matched in real time against Drug Landscape's normalised drug + company + condition tables
- Sponsor: as reported to ClinicalTrials.gov by Peking University Third Hospital
- Last refreshed: 12 July 2021
Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT04958408.
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