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Application of deep learning based on DCE-MRI in automatic segmentation and classification of breast cancer

Application of deep learning based on DCE-MRI in automatic segmentation and classification of breast cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200063462
Enrollment
Unknown
Registered
2022-09-07
Start date
2022-09-01
Completion date
Unknown
Last updated
2023-04-17

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

Conditions

Breast cancer

Interventions

Sponsors

Yantai Yuhuangding Hospital
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. Complete imaging and pathological data, including tumor and AlN; 2. Surgery was performed two weeks after MR scan.

Exclusion criteria

Exclusion criteria: 1. There was no mass focus, no obvious boundary or the longest diameter of the focus was less than 5 mm; 2. Incomplete clinical or pathological features; 3. Received neoadjuvant chemotherapy, radiotherapy or hormone therapy before MR examination; 4. Patients with multifocal lesions or other breast tumors.

Design outcomes

Primary

MeasureTime frame
Area under the operating characteristic curve of the subject;

Secondary

MeasureTime frame
Accuracy;Sensitivity;Specificity;

Countries

China

Contacts

Public ContactMao Ning

Yantai Yuhuangding Hospital

maoning@pku.edu.cn+86 13105351972

Outcome results

None listed

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