Multi center study based on breast MRI and artificial intelligence to predict the risk of positive margin in breast conserving surgery for breast cancer

Application of artificial intelligence based on breast MRI in prediction of positive surgical margins in breast conserving surgery

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2400083298

Enrollment

Unknown

Registered

2024-04-19

Start date

2024-05-01

Completion date

Unknown

Last updated

2024-04-22

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:Intraoperative and postoperative pathological results of the surgical margin

Index test:A multimodal fusion artificial intelligence prediction model

Eligibility

Sex/Gender

Female

Age

18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1) Female aged 18-75; 2) Breast conserving surgery was performed and was confirmed as breast cancer by pathology after surgery; 3) With preoperative standard MRI examination with complete images and reports; 4) With complete clinical information; 5) With complete intraoperative and postoperative pathological results of the surgical margin.

Exclusion criteria

Exclusion criteria: 1) Lack of imaging or clinical information; 2) Unclear surgical margin state.

Design outcomes

Primary

Measure	Time frame
breast magnetic resonance imaging;AUC;	—

Secondary

Measure	Time frame
Margin status of breast conserving surgery;Accuracy, sensitivity, specificity;	—

Countries

China

Contacts

Public ContactGuojun Zhang; Xue Zhao

Yunnan Cancer Hospital

zhangguojun@kmmu.edu.cn+86 188 5006 4298

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jul 27, 2026