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Predictive value of contrast-enhanced ultrasonography (CEUS) based artificial intelligence (AI) technique on axillary lymph node metastasis in breast cancer patients

Predictive value of contrast-enhanced ultrasonography (CEUS) based artificial intelligence (AI) technique on axillary lymph node metastasis in breast cancer patients

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200064267
Enrollment
Unknown
Registered
2022-10-01
Start date
2022-10-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Breast cancer

Interventions

Case series:None

Sponsors

West China Hospital,Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
Female
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. Patients pathologically diagnosed with invasive breast cancer after biopsy

Exclusion criteria

Exclusion criteria: 1. Non invasive breast cancer patients 2. Patients with a history of allergy to contrast media

Design outcomes

Primary

MeasureTime frame
axillary lymph nodes metastasis;—

Countries

China

Contacts

Public ContactQing Lyu

West China Hospital,Sichuan University

lvqing@wchscu.cn+86 18980601462

Outcome results

None listed

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