NCT04996615

Artificial Intelligence Analysis for Magnetic Resonance Imaging in Screening Breast Cancer in High-risk Women

Peking University People's Hospital Breast Center

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 5,000 (estimated)
• Sponsor: Peking University People's Hospital · Academic / Other
• Sex: Female
• Age: —
• Healthy volunteers: Not accepted

Summary

Use Convolutional Neural Networks Analysis for Classification of Contrast-enhancing Lesions at Multiparametric Breast MRI. Build an abbreviated protocal, and investigate whether an abbreviated protocol was suitable for breast magnetic resonance imaging screening for breast cancer in high-risk Chinese women, which can shorten the examination time and avoid enhanced imaging while ensuring the accuracy of the diagnosis.

Conditions

• Breast Cancer
• Magnetic Resonance Imaging

Interventions

Type	Name	Description
OTHER	no intervention	no intervention

Timeline

• Start date: 2021-09-01
• Primary completion: 2025-09-30
• Completion: 2025-09-30
• First posted: 2021-08-09
• Last updated: 2022-11-16

Locations

2 sites across 1 country: China