DWIBS-MRI: An Adjunct to the Traditional Diagnostic Breast Imaging Evaluation
NCT ID: NCT04491864
Last Updated: 2020-07-29
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
UNKNOWN
200 participants
OBSERVATIONAL
2019-03-11
2024-03-11
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
* To determine if MRI DWIBS can accurately identify suspicious lesions previously categorized on mammography and sonography as potentially malignant.
* We will also validate whether DWIBS-MRI ADC values can be used to accurately differentiate benign from malignant lesions. Additionally, because it is not known whether tumor type or growth rate (Ki67 values) will affect our results, we will include these parameters in our analysis.
* Once we validate the use of DWIBS-MRI ADC values to determine malignancy, can we establish an ADC threshold value to decrease the number of false positive biopsies that are performed while still maintaining a zero false negative rate?
* This study will also assess the correlation between ADC values and the Ki-67 proliferative index of malignant lesions.
Related Clinical Trials
Explore similar clinical trials based on study characteristics and research focus.
Investigation of Diagnostic Improvement Gained Through Optimization of MR Methods for Breast Cancer Detection
NCT02411760
Magnetic Resonance Imaging in Patients With Breast Cancer
NCT00610181
Multiple B-value Diffusion-weighted Imaging(DWI) in Evaluation of Breast Lesions
NCT02529384
Comparative Performance of Molecular Breast Imaging (MBI) to Magnetic Resonance Imaging (MRI) of the Breast in Identifying and Excluding Breast Carcinoma in Women at High Risk for Breast Cancer
NCT05042687
Advanced Diffusion Tensor MRI for Breast Cancer
NCT04774471
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
COHORT
PROSPECTIVE
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
1. \>30 years of age
2. Genetic Female
3. Suspected diagnosis of BIRADS 4 or BIRADS 5 masses and/or asymmetries greater than 1 centimeter based on standard 2D/3D mammogram and ultrasound imaging.
Exclusion Criteria
1. Prior biopsy of suspicious lesion
2. Breast implants
3. Prior history of breast cancer
4. Patient has a pacemaker
5. Contraindications to use of MRI imaging (metal implants, etc.)
6. Woman pregnant or lactating
7. Calcifications as only findings present for a suspicious lesion
30 Years
FEMALE
Yes
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
Baylor Research Institute
OTHER
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Sean Raj
Medical Doctor
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
Baylor Scott & White Research Insitute
Dallas, Texas, United States
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
018-781
Identifier Type: -
Identifier Source: org_study_id
More Related Trials
Additional clinical trials that may be relevant based on similarity analysis.