Detection of Ovarian Cancer Using an Artificial Intelligence Enabled Transvaginal Ultrasound Imaging Algorithm

Tongji Hospital

Status

Not yet enrolling

Conditions

Ovarian Cancer

Treatments

Diagnostic Test: Artificial Intelligence Enabled Transvaginal Ultrasound Imaging algorithm

Study type

Interventional

Funder types

Other

Identifiers

NCT04214782

2019-TJ-OVAB

Details and patient eligibility

About

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.

Enrollment

10,000 estimated patients

Sex

Female

Ages

18 to 80 years old

Volunteers

No Healthy Volunteers

Inclusion criteria

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.

Exclusion criteria

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.