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Clinical Study for Breast Masses by Ultrasound Artificial Intelligence

Clinical Study for Breast Masses by Ultrasound Artificial Intelligence

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900021375
Enrollment
Unknown
Registered
2019-02-17
Start date
2016-01-01
Completion date
Unknown
Last updated
2019-02-18

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

Conditions

Multimodal intelligent diagnosis of breast nodules

Interventions

Gold Standard:Pathological diagnosis
Index test:Ultrasound&#32
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Sponsors

Department of ultrasonography, Beijing Tiantan Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 60 Years

Inclusion criteria

Inclusion criteria: 1. There are definite pathological results: benign and malignant tumors; adenosis and mastitis; 2. At least one 2D, CDFI image, PW alternative.

Exclusion criteria

Exclusion criteria: 1. Containing breast foreign bodies, such as breast augmentation materials; 2. Simultaneous infection with HIV or other metastatic tumors; 3. If there are multiple merging results, the more serious results will prevail. 4. There are measuring marks, arrows or needles in the image. 5. Image blurring, color overflow, etc.

Design outcomes

Primary

MeasureTime frame
accuracy rate;Specificity;susceptibility;

Countries

China

Contacts

Public ContactHe Wen

Department of ultrasonography, Beijing Tiantan Hospital, Capital Medical University

hewen168@sina.com+86 13910422910

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 16, 2026