Quantitative Methods for Supplementing Contrast-Enhanced Magnetic Resonance Imaging of Breast Cancer

Study Overview
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Brief Summary
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Contrast-enhanced magnetic resonance imaging (CE-MRI) is now established as the most accurate non-invasive imaging modality for characterizing breast cancer. CE-MRI has a very high sensitivity because the intravenous MR contrast agent highlights regions with increased vascularization and vascular permeability compared to normal breast tissues and benign lesions.

Detailed Description
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Contrast-enhanced magnetic resonance imaging (CE-MRI) is now established as the most accurate non-invasive imaging modality for characterizing breast cancer. CE-MRI has a very high sensitivity because the intravenous MR contrast agent highlights regions with increased vascularization and vascular permeability compared to normal breast tissues and benign lesions. While research continues on improving the specificity of CE-MRI, several other MR techniques that do not require an exogenous contrast agent have been shown to provide valuable information that can improve the characterization of breast cancers. These techniques include magnetic resonance spectroscopy (MRS), diffusion-weighted imaging, and water T2 relaxometry. The long-term goal of this study is to develop these techniques to produce quantitative MR-based biomarkers that can be used to supplement or possibly supplant the information provided by CE-MRI. This project seeks to facilitate the advancement of these advanced, non-contrast techniques. This study uses a piggyback design, in which subjects who are already scheduled to receive a CE-MRI study are invited to receive an additional 10-20 minutes of scanning to help develop these novel methods. This efficient design allows for the refinement and assessment of these new techniques with a minimum of risk and inconvenience to the patient. With these proposed improvements, these techniques may lead to quantitative biomarkers that can guide critical clinical questions in treatment response, diagnosis, staging, and high-risk screening of breast cancer.

Official Title
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Quantitative Methods for Supplementing Contrast-Enhanced Magnetic Resonance Imaging of Breast Cancer

Conditions
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Breast Cancer

Intervention / Treatment
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* Device: Magnetic Resonance Imaging


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Women scheduled and eligible to receive a contrast-enhanced breast MRI at the UMN Center for Clinical Imaging Research for either standard clinical care, or participation in the ISPY2/ACRIN6698 clinical research study Age 18 years or older Ability to read and understand English Ability to provide written informed consent Exclusion Criteria: Subjects who are unlikely to tolerate the longer MRI scanning duration. This may include, history of discomfort during MRI scanning, anxiety, or claustrophobia

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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Female

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Healthy Volunteers<br>Device: Magnetic Resonance Imaging | Device: Magnetic Resonance Imaging<br>* MRI scanning with novel acquisition, reconstruction, and/or analysis methods.<br>|
| Breast Cancer Patients<br>Device: Magnetic Resonance Imaging | Device: Magnetic Resonance Imaging<br>* MRI scanning with novel acquisition, reconstruction, and/or analysis methods.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Concentration of choline-containing metabolites | Demonstration of the feasibility of using SLIM-based techniques for acquiring spectoscopic data for quantifying choline and other metabolites in breast cancer. | Baseline | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| The apparent diffusion coefficient and T2 relaxation rate of water in the tumor | Develop and optimize methods for performing diffusion weighted imaging and T2 relaxometry in breast cancer. | Baseline and 6 months following treatment | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Breast cancer, Magnetic resonance spectroscopy, Diffusion weighted imaging