Artificial Intelligence Analysis for Magnetic Resonance Imaging in Screening Breast Cancer in High-risk Women
Peking University People's Hospital Breast Center
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: shu wang, doctor
- Phone Number: 86+010-88324010
- Email: shuwang@pkuph.edu.cn
Study Locations
-
-
Bei Jing
-
Beijing, Bei Jing, China, 100044
- Recruiting
- Peking University People's Hospital
-
Contact:
- Yuan peng
- Phone Number: 13671287670
- Email: 13671287670@163.com
-
-
Beijing
-
Beijing, Beijing, China, 100044
- Recruiting
- Peking University People's Hospital
-
Contact:
- yuan peng, MD
- Phone Number: 86+010-88324010
- Email: 13671287670@163.com
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
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
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
high risk population
women at high risk of breast cancer undergoing enhanced MRI
|
no intervention
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
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.
|
5 years
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The accuracy of radiologists and deep learning models
Time Frame: 5 years
|
compare the sensitivity,specificity, positive predictive value and negative predictive value of breast tumor detection by radiologists and deep learning models.
|
5 years
|
Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- AI-BMRI
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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