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Clinical application value of artificial intelligence method in predicting benign and malignant breast tumors in ultrasound images

Clinical application value of artificial intelligence method in predicting benign and malignant breast tumors in ultrasound images

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300074673
Enrollment
Unknown
Registered
2023-08-11
Start date
2023-09-01
Completion date
Unknown
Last updated
2023-08-21

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

Conditions

breast tumor

Interventions

Sponsors

Shanghai Tenth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1) Patients with breast nodules were examined in our hospital; 2) Patients =18 years old; 3) Patients who have undergone surgery or puncture and obtained pathological results;

Exclusion criteria

Exclusion criteria: 1) Patients with a history of breast surgery or radiotherapy and chemotherapy for breast cancer; 2) No pathological findings; 3) Patients without breast nodules; 4) The image quality of multi-parameter ultrasound examination is poor

Design outcomes

Primary

MeasureTime frame
sensitivity;specifity;accuracy;

Countries

China

Contacts

Public ContactHui Liu

Shanghai Tenth People's Hospital

27763289@qq.com+86 187 2120 0662

Outcome results

None listed

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