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The clinical application value of predicting molecular typing of breast cancer in ultrasound images based on artificial intelligence methods

The clinical application value of predicting molecular typing of breast cancer in ultrasound images based on artificial intelligence methods

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000038606
Enrollment
Unknown
Registered
2020-09-25
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-12-07

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

Conditions

Breast cancer

Interventions

Gold Standard:Postoperative pathological results.
Index test:Ultrasonic&#32
images,&#32
artificial&#32
intelligence&#32
method.

Sponsors

Shanghai Tenth People's Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: Preoperative ultrasound examination of patients with breast cancer.

Exclusion criteria

Exclusion criteria: Patients with mastectomy; Has participated in other clinical researchers;Reject participants; No pathological verification.

Design outcomes

Primary

MeasureTime frame
Breast cancer molecular subtyp;—

Secondary

MeasureTime frame
benign and malignant;—

Contacts

Public ContactChongke Zhao

Shanghai Tenth People's Hospital

zhaochongke123@163.com+86 18800231561

Outcome results

None listed

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