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Application value of radiomics and artificial intelligence based on breast MRI in the differential diagnosis of frankincense tumors

Application value of radiomics and artificial intelligence based on breast MRI in the differential diagnosis of frankincense tumors

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000029338
Enrollment
Unknown
Registered
2020-01-25
Start date
2020-02-02
Completion date
Unknown
Last updated
2020-02-03

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

Conditions

Breast mass

Interventions

Gold Standard:Pathology
and&#32
artificial&#32

Sponsors

The First Affiliated Hospital of Soochow University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. Patients who have undergone breast MRI examination. 2. Patients with breast masses. 3. Patients with pathological results of breast masses.

Exclusion criteria

Exclusion criteria: The quality of breast MRI image is poor.

Design outcomes

Primary

MeasureTime frame
Radiomics;SEN, SPE, ACC, AUC of ROC;

Countries

China

Contacts

Public ContactHuang Renjun

Department of Radiology, the First Affiliated Hospital of Soochow University

729035422@163.com+86 15850115582

Outcome results

None listed

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