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

NCT04996615 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 5000

Last updated 2022-11-16

No results posted yet for this study

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

Interventions

OTHER

no intervention

no intervention

Sponsors & Collaborators

  • Peking University People's Hospital

    lead OTHER

Eligibility

Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-09-01
Primary Completion
2025-09-30
Completion
2025-09-30

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04996615 on ClinicalTrials.gov