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Clinical Trial Details — Status: Completed

Administrative data

NCT number NCT02058758
Other study ID # 1312M4621
Secondary ID R21CA179070
Status Completed
Phase
First received
Last updated
Start date March 1, 2014
Est. completion date September 1, 2019

Study information

Verified date September 2019
Source University of Minnesota - Clinical and Translational Science Institute
Contact n/a
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

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.


Description:

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.


Recruitment information / eligibility

Status Completed
Enrollment 80
Est. completion date September 1, 2019
Est. primary completion date July 1, 2019
Accepts healthy volunteers Accepts Healthy Volunteers
Gender Female
Age group 18 Years and older
Eligibility 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

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Magnetic Resonance Imaging
MRI scanning with novel acquisition, reconstruction, and/or analysis methods.

Locations

Country Name City State
United States University of Minnesota Center for Clinical Imaging Reserach Minneapolis Minnesota

Sponsors (2)

Lead Sponsor Collaborator
University of Minnesota - Clinical and Translational Science Institute National Cancer Institute (NCI)

Country where clinical trial is conducted

United States, 

Outcome

Type Measure Description Time frame Safety issue
Primary 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 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
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