Non-contrast DWI for Supplemental Screening

NCT ID: NCT03607552

Last Updated: 2025-10-09

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

ACTIVE_NOT_RECRUITING

Total Enrollment

269 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-07-16

Study Completion Date

2029-07-31

Brief Summary

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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

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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

Conditions

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Breast Cancer

Study Design

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Observational Model Type

COHORT

Study Time Perspective

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

Intervention Type DEVICE

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

Intervention Type DEVICE

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

Intervention Type DEVICE

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.

Intervention Type DEVICE

Non-contrast MRI

Non-contrast MRI scans will include DWI along with anatomical T1-weighted and T2-weighted sequences.

Intervention Type DEVICE

Eligibility Criteria

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Inclusion Criteria

1. Women aged 18 or older
2. Dense breast identified on mammogram

Exclusion Criteria

1. Contra-indication to contrast-enhanced breast MRI (e.g. renal insufficiency with GFR\<60, contrast allergy, incompatible metal)
2. Patients who currently are undergoing chemoprevention therapy (e.g. aromatase inhibitors or selective estrogen receptor modulators)
3. Women who are pregnant
Minimum Eligible Age

18 Years

Maximum Eligible Age

80 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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National Cancer Institute (NCI)

NIH

Sponsor Role collaborator

University of Washington

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

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

Site Status

Seattle Cancer Care Alliance

Seattle, Washington, United States

Site Status

Countries

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United States

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.

Reference Type DERIVED
PMID: 35029517 (View on PubMed)

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.

Reference Type DERIVED
PMID: 33856137 (View on PubMed)

Other Identifiers

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RG3017005

Identifier Type: OTHER

Identifier Source: secondary_id

R01CA207290

Identifier Type: NIH

Identifier Source: secondary_id

View Link

NCI-2020-05585

Identifier Type: REGISTRY

Identifier Source: secondary_id

9785

Identifier Type: -

Identifier Source: org_study_id

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