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Establishment of multi-clinical center ovarian cancer diagnosis and prognosis evaluation model based on deep learning of ultrasound images

Establishment of ovarian cancer diagnosis and prognosis evaluation model based on deep learning of ultrasound images

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2100049577
Enrollment
Unknown
Registered
2021-08-04
Start date
2019-12-31
Completion date
Unknown
Last updated
2022-04-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Ovarian cancer

Interventions

Sponsors

Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
10 Years to 82 Years

Inclusion criteria

Inclusion criteria: 1. Patients willing to participate as evidenced by signing the written informed consent form; 2. Patients enrolled before initiation of any kind of treatment (including but not limited to adnexal mass excision surgery, chemotherapy, target therapy); 3. Patients with adnexal lesions had pathological diagnosis after enrollment; 4. had no history of malignancy other than ovarian cancer.

Exclusion criteria

Exclusion criteria: 1. Participants unwilling to cooperate or participate in other clinical trials; 2. Participants with history of malignancy other than ovarian cancer; 3. Patients having adnexal lesions without pathological diagnosis after enrollment; 4. Patients enrolled before initiation of any kind of treatment

Design outcomes

Primary

MeasureTime frame
sensitivity;specificity;accuracy;negative predictive value;

Countries

China

Contacts

Public ContactQinglei Gao

Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology

qingleigao@hotmail.com+86 13307176759

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026