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Clinical Trials/NCT04996615
NCT04996615RecruitingNot Applicable

Peking University People's Hospital Breast Center

Peking University People's Hospital2 sites in 1 country5,000 target enrollmentStarted: September 1, 2021Last updated:
Conditions

Trial Snapshot

Phase
Not Applicable
Status
Recruiting
Enrollment
5,000
Locations
2
Primary Endpoint
screening yield

Study Overview

Brief 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.

Study Design

Study Type
Observational
Observational Model
Cohort
Time Perspective
Prospective

Eligibility Criteria

Sex
Female
Accepts Healthy Volunteers
No

Inclusion Criteria

  • Patients undergoing full sequence BMRI examination
  • Written informed consent and complete the clinical data questionnaire
  • Through the follow-up database, at least 6 months of follow-up results can be obtained to determine whether the diagnosis result is negative/benign/malignant; for patients who need pathological biopsy, the pathological biopsy results shall prevail to determine the lesion benign/malignant.

Exclusion Criteria

  • The breast had received radiotherapy, chemotherapy, biology and other treatments before BMRI.
  • Signs or symptoms of breast disease
  • There are contraindications for breast-enhanced MRI examinations such as allergy to contrast agents.
  • Patients during lactation or pregnancy

Outcomes

Primary Outcomes

screening yield

Time Frame: 5 years

compare the rates of detection of breast cancers in the screening of high-risk populations between the Breast MRI full sequence, contrast-enhanced and non-contrast-enhanced sequence.

Secondary Outcomes

  • The accuracy of radiologists and deep learning models(5 years)

Investigators

Sponsor Class
Other
Responsible Party
Principal Investigator
Principal Investigator

Shu Wang

Director of Breast Center

Peking University People's Hospital

Study Sites (2)

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