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Application of ultrasonic artificial intelligence multimodal diagnostic model in ovarian tumors: A multicenter prospective controlled clinical study

Application of ultrasonic artificial intelligence multimodal diagnostic model in ovarian tumors: A multicenter prospective controlled clinical study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200055907
Enrollment
Unknown
Registered
2022-01-23
Start date
2022-01-24
Completion date
Unknown
Last updated
2024-07-29

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

Conditions

Ovarian tumors

Interventions

Gold Standard:pathology
Index test:Accuracy of multimodal diagnostic system for ovarian tumor to assist clinicians in diagnosing benign and malignant tendencies of ovarian tumor.

Sponsors

Xijing Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Women aged 18 years and over; 2. Patients who underwent pelvic ultrasonography, with ovarian mass and underwent surgery found; 3. No surgical contraindications such as severe center of gravity, lung and other organ dysfunction and abnormal hemagglutination; 4. Fully know the treatment method, sign informed consent, and actively cooperate with follow-up.

Exclusion criteria

Exclusion criteria: 1. Patients who have undergone ovarian tumor resection, ablation, radiotherapy and chemotherapy; 2. Patients who had participated in other clinical trials 30 days before enrollment; 3. There are other conditions that the researcher believes are not suitable for this clinical trial, such as mental diseases or major basic diseases (such as non ovarian tumors), pregnant or lactating women.

Design outcomes

Primary

MeasureTime frame
UltraSound;sensitivity;specificity;AUC;

Countries

China

Contacts

Public ContactYang Hong

Xijing Hospital

yanghong@fmmu.edu.cn+86 13909288687

Outcome results

None listed

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