Detection of Ovarian Cancer Using an Artificial Intelligence Enabled Transvaginal Ultrasound Imaging Algorithm
- Conditions
- Ovarian Cancer
- Registration Number
- NCT04214782
- Lead Sponsor
- Tongji Hospital
- Brief Summary
Ovarian cancer is relatively rare but fatal with an annual incidence rate of 11.8 per 100 000 and a high mortality-to-incidence ratio of \>0.6. The modest diagnostic accuracy of TVU has risen some concerns about the over-treatment.Now, with the development of artificial intelligence (AI), we may have a better chance to interpret TVU imagines with high efficiency, reproducibility and accuracy.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- NOT_YET_RECRUITING
- Sex
- Female
- Target Recruitment
- 10000
- Women scheduled for Transvaginal Ultrasound examination for adnexal lesions;
- Women aged over 18 years old;
- Women willing to participant in this study evidenced by signing the informed consent.
- Women without adnexa for any reasons at the time of Transvaginal Ultrasound examination, including but not limited to receiving surgical removal for adnexa;
- Women with a pathologic diagnosis of ovarian cancer before the Transvaginal Ultrasound examination;
- Women with mental abnormal;
- Women did not cooperate or participate in other clinical trials;
- Pregnant or lactating women.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- PARALLEL
- Primary Outcome Measures
Name Time Method diagnostic accuracy 2 years diagnostic accuracy comparison between Transvaginal Ultrasound diagnosis with and without Artificial Intelligence algorithm for ovarian cancer
- Secondary Outcome Measures
Name Time Method time cost for Transvaginal Ultrasound image interpretation 2 years time cost for radiologists to interpret Transvaginal Ultrasound images
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