Non-contrast DWI for Supplemental Screening
- Conditions
- Breast Cancer
- Interventions
- Device: Non-contrast MRIDevice: Non-contrast DWI
- Registration Number
- NCT03607552
- Lead Sponsor
- University of Washington
- 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.
- Detailed Description
Hypothesis: With technical optimizations, non-contrast DWI can detect clinically and mammographically occult breast cancer in women with dense breasts with high sensitivity and low false positive rate.
Aim 1: Improve the breast DWI technique to maximize spatial resolution, reduce distortion, and increase lesion contrast.
* Develop novel DWI acquisition to increase spatial resolution and reduce distortion (using reduced field of-view and/or multishot echo planar imaging techniques)
* Identify optimal diffusion sensitization (b-value) to maximize conspicuity of cancers in women with dense breasts
Aim 2: Develop interpretation tools to optimize diagnostic performance for detecting cancer on DWI.
* Determine quantitative DWI thresholds (contrast-to-noise ratio, apparent diffusion coefficient \[ADC\]) that best differentiate benign and malignant lesions (i.e. maximize sensitivity and specificity)
* Develop computer aided assessment tools to facilitate clinical implementation and optimize reader accuracy
Aim 3: Test the performance of the optimized DWI approach for detecting clinically and mammographically-occult cancer in women with dense breasts.
* Conduct a controlled reader study of non-contrast DWI alone for breast cancer detection
* Perform receiver operating characteristic (ROC) analysis and determine the sensitivity and specificity for detection of mammographically occult cancer
Recruitment & Eligibility
- Status
- ACTIVE_NOT_RECRUITING
- Sex
- Female
- Target Recruitment
- 269
- Women aged 18 or older
- Dense breast identified on mammogram
- 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
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Phase 2: Development Phase Non-contrast MRI Develop interpretation tools to optimize diagnostic performance for detecting cx on DWI. Phase 3: Reader Performance Phase Non-contrast MRI Test the performance of the optimized DWI approach for detecting clinically and mammographically-occult cancer in women with dense breasts. Phase 1: Pilot Study Phase Non-contrast DWI Optimize DWI sequences to maximize spatial resolution, reduce distortion, and increase lesion contrast.
- Primary Outcome Measures
Name Time Method Diffusion sensitization (b value) 2.5 years Identify optimal b value to maximize conspicuity of cancers in women with dense breasts
Reader Interpretation strategy 3.5 years Identify optimal ADC thresholds to differentiate malignant from benign lesions
Specificity 4.5 years Specificity will be assessed for non-contrast DWI
Sensitivity 4.5 years Sensitivity will be assessed for non-contrast DWI
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (2)
Seattle Cancer Care Alliance
🇺🇸Seattle, Washington, United States
Oregon Health & Science University
🇺🇸Portland, Oregon, United States