Study Results
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Basic Information
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ACTIVE_NOT_RECRUITING
269 participants
OBSERVATIONAL
2018-07-16
2029-07-31
Brief Summary
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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.
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Detailed Description
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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
Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Phase 1: Pilot Study Phase
Optimize DWI sequences to maximize spatial resolution, reduce distortion, and increase lesion contrast.
Non-contrast DWI
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.
Phase 2: Development Phase
Develop interpretation tools to optimize diagnostic performance for detecting cx on DWI.
Non-contrast MRI
Non-contrast MRI scans will include DWI along with anatomical T1-weighted and T2-weighted sequences.
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.
Non-contrast MRI
Non-contrast MRI scans will include DWI along with anatomical T1-weighted and T2-weighted sequences.
Interventions
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Non-contrast DWI
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
Non-contrast MRI scans will include DWI along with anatomical T1-weighted and T2-weighted sequences.
Eligibility Criteria
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Inclusion Criteria
2. Dense breast identified on mammogram
Exclusion Criteria
2. Patients who currently are undergoing chemoprevention therapy (e.g. aromatase inhibitors or selective estrogen receptor modulators)
3. Women who are pregnant
18 Years
80 Years
FEMALE
No
Sponsors
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National Cancer Institute (NCI)
NIH
University of Washington
OTHER
Responsible Party
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Principal Investigators
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Savannah Partridge
Role: PRINCIPAL_INVESTIGATOR
Fred Hutch/University of Washington Cancer Consortium
Locations
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Oregon Health & Science University
Portland, Oregon, United States
Seattle Cancer Care Alliance
Seattle, Washington, United States
Countries
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References
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Biswas 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.
Ha 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.
Other Identifiers
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RG3017005
Identifier Type: OTHER
Identifier Source: secondary_id
NCI-2020-05585
Identifier Type: REGISTRY
Identifier Source: secondary_id
9785
Identifier Type: -
Identifier Source: org_study_id
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