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

Peking University

Status

Enrolling

Conditions

Breast Cancer

Magnetic Resonance Imaging

Treatments

Other: no intervention

Study type

Observational

Funder types

Other

Identifiers

NCT04996615

AI-BMRI

Details and patient eligibility

About

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.

Enrollment

5,000 estimated patients

Sex

Female

Volunteers

No Healthy Volunteers

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