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Exploring the applied value of multimodal multiparametric imaging combined with machine learning for breast cancer diagnosis and prognosis

Exploring the applied value of multimodal multiparametric imaging combined with machine learning for breast cancer diagnosis and prognosis

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600121251
Enrollment
Unknown
Registered
2026-03-27
Start date
2025-01-07
Completion date
Unknown
Last updated
2026-03-30

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

Conditions

Breast cancer

Interventions

Benign breast mass:not have
Malignant breast mass:not have

Sponsors

The Second Affiliated Hospital of Nanchang University
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: Patients who underwent breast MRI at our imaging center (3.0T MRI) and underwent postoperative pathological section examination.

Exclusion criteria

Exclusion criteria: 1. Treatment prior to MRI examination; 2. Incomplete clinical data; 3. Poor MRI image quality.

Design outcomes

Primary

MeasureTime frame
area under the curve;specificity;sensitivity;accuracy;—

Countries

China

Contacts

Public ContactLianggeng Gong

The Second Affiliated Hospital of Nanchang University

gong111999@163.com+86 13970936212

Outcome results

None listed

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