Non-contrast DWI for Supplemental Screening
4 other identifiers
observational
269
1 country
2
Brief Summary
Diffusion-weighted imaging (DWI) is a short (under 5 minutes) non-contrast MRI technique that has shown promise for the detection and characterization of breast cancer. Our preliminary data has shown that DWI holds potential for detecting mammographically and clinically-occult breast cancers. However, current technical limitations reduce the sensitivity of DWI for screening applications. The identification of a screening tool to complement mammography that is more accurate than ultrasound and faster, less expensive, and safer than conventional contrast-enhanced MRI would have significant clinical impact by improving the early detection of cancer in women with dense breasts. We hypothesize that an optimized DWI approach will enable detection of mammographically occult breast cancer in women with dense breasts with high sensitivity and low false positive rate.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2018
Longer than P75 for all trials
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 16, 2018
CompletedFirst Submitted
Initial submission to the registry
July 20, 2018
CompletedFirst Posted
Study publicly available on registry
July 31, 2018
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
July 1, 2029
May 5, 2026
April 1, 2026
8.1 years
July 20, 2018
April 28, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (4)
Diffusion sensitization (b value)
Identify optimal b value to maximize conspicuity of cancers in women with dense breasts
2.5 years
Reader Interpretation strategy
Identify optimal ADC thresholds to differentiate malignant from benign lesions
3.5 years
Specificity
Specificity will be assessed for non-contrast DWI
4.5 years
Sensitivity
Sensitivity will be assessed for non-contrast DWI
4.5 years
Study Arms (3)
Phase 1: Pilot Study Phase
Optimize DWI sequences to maximize spatial resolution, reduce distortion, and increase lesion contrast.
Phase 2: Development Phase
Develop interpretation tools to optimize diagnostic performance for detecting cx on DWI.
Phase 3: Reader Performance Phase
Test the performance of the optimized DWI approach for detecting clinically and mammographically-occult cancer in women with dense breasts.
Interventions
Diffusion-weighted imaging (DWI) is a non-contrast MRI technique that typically can be acquired in under 5 minutes. DWI reflects the microscopic cellular environment and can demonstrate differences between normal and malignant breast tissue without the aid of intravenous gadolinium.
Non-contrast MRI scans will include DWI along with anatomical T1-weighted and T2-weighted sequences.
Eligibility Criteria
Women age 18+, with mammographically identified dense breasts, referred for clinical breast MRI
You may qualify if:
- Women aged 18 or older
- Dense breast identified on mammogram
You may not qualify if:
- Contra-indication to contrast-enhanced breast MRI (e.g. renal insufficiency with GFR\<60, contrast allergy, incompatible metal)
- Patients who currently are undergoing chemoprevention therapy (e.g. aromatase inhibitors or selective estrogen receptor modulators)
- Women who are pregnant
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- National Cancer Institute (NCI)collaborator
- University of Washingtonlead
Study Sites (2)
Oregon Health & Science University
Portland, Oregon, 97239, United States
Seattle Cancer Care Alliance
Seattle, Washington, 98109, United States
Related Publications (3)
Oviedo F, Kazerouni AS, Liznerski P, Xu Y, Hirano M, Vandermeulen RA, Kloft M, Blum E, Alessio AM, Li CI, Weeks WB, Dodhia R, Lavista Ferres JM, Rahbar H, Partridge SC. Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection. Radiology. 2025 Jul;316(1):e241629. doi: 10.1148/radiol.241629.
PMID: 40662973DERIVEDBiswas D, Hippe DS, Wang Y, DelPriore MR, Zecevic M, Scheel JR, Rahbar H, Partridge SC. Accelerated Breast Diffusion-weighted Imaging Using Multiband Sensitivity Encoding with the CAIPIRINHA Method: Clinical Experience at 3 T. Radiol Imaging Cancer. 2022 Jan;4(1):e210063. doi: 10.1148/rycan.210063.
PMID: 35029517DERIVEDHa SM, Chang JM, Lee SH, Kim ES, Kim SY, Kim YS, Cho N, Moon WK. Detection of Contralateral Breast Cancer Using Diffusion-Weighted Magnetic Resonance Imaging in Women with Newly Diagnosed Breast Cancer: Comparison with Combined Mammography and Whole-Breast Ultrasound. Korean J Radiol. 2021 Jun;22(6):867-879. doi: 10.3348/kjr.2020.1183. Epub 2021 Apr 1.
PMID: 33856137DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Savannah Partridge
Fred Hutch/University of Washington Cancer Consortium
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
July 20, 2018
First Posted
July 31, 2018
Study Start
July 16, 2018
Primary Completion (Estimated)
September 1, 2026
Study Completion (Estimated)
July 1, 2029
Last Updated
May 5, 2026
Record last verified: 2026-04
Data Sharing
- IPD Sharing
- Will not share