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Multi-task deep learning based on DCE-MRI in automatic segmentation of breast cancer and prediction of response to neoadjuvant chemotherapy

Multi-task deep learning based on DCE-MRI in automatic segmentation of breast cancer and prediction of response to neoadjuvant chemotherapy

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200065185
Enrollment
Unknown
Registered
2022-10-31
Start date
2022-11-01
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

Gold Standard:Pathological results
Index test:Pathological complete response

Sponsors

Yantai Yuhuangding hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: (1) Patients underwent MRI within 2 weeks before neoadjuvant chemotherapy (2) Complete clinical and pathological information (3) Clear image quality

Exclusion criteria

Exclusion criteria: (1) Patients had other concurrent malignancies or underwent chemotherapy or radiotherapy before DCE-MRI scan (2) Incomplete clinical or pathological information

Design outcomes

Primary

MeasureTime frame
Area under the receiver operating characteristic curve;Accuracy;Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactMao Ning

Yantai Yuhuangding hospital

maoning@pku.edu.cn13105351972

Outcome results

None listed

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