Artificial Intelligence Analysis for Magnetic Resonance Imaging in Screening and Diagnosis of Breast Cancer
NCT05243121 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 5000
Last updated 2022-02-16
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 mass in Chinese women, which can shorten the examination time and avoid enhanced imaging while ensuring the accuracy of the diagnosis.
Conditions
- Breast Neoplasms
- Magnetic Resonance Imaging
Interventions
- DIAGNOSTIC_TEST
-
MRI
undergoing enhanced MRI
Sponsors & Collaborators
-
Peking University People's Hospital
lead OTHER
Eligibility
- Sex
- FEMALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2022-02-28
- Primary Completion
- 2025-09-30
- Completion
- 2025-09-30
Countries
- China
Study Locations
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