Breast Cancer Clinical Trial
Official title:
Abbreviated MRI Protocol: Initial Experience With Dotarem® (Gadoterate Meglumine)
Verified date | December 2023 |
Source | University of Chicago |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Standard breast MRI studies often have lengthy protocols that make them inherently expensive and time-consuming. Several studies of the use of abbreviated MRI protocols have shown that the shorter protocols have diagnostic accuracy comparable to that of the conventional full MRI protocol. There are also promising results of ultrafast DCE-MRI studies with shorter breast MRI protocols that provide not only morphologic but also valuable kinetic information about a lesion. The shorter imaging times achieved with the abbreviated and the ultrafast DCE-MRI protocols have the potential to increase efficiency and lower cost by decreasing time in the MRI suite, which in turn may make breast MRI accessible for population-based mass screening. The focus of the proposed research is the investigation of an abbreviated MRI protocol with ultrafast imaging using Dotarem® (Gadoterate Meglumine).
Status | Completed |
Enrollment | 50 |
Est. completion date | June 30, 2023 |
Est. primary completion date | June 30, 2023 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | Female |
Age group | 18 Years to 80 Years |
Eligibility | Inclusion Criteria: - Women between the ages of 18-80. - Women with diagnostic imaging findings highly suspicious for breast cancer (BI-RADS category 4 or 5) or known breast cancer (BI-RADS category 6). Per BI-RADS lexicon, category 4 lesions carry a malignancy risk of 2-95% and category 5 lesions carry a malignancy risk of >95%. Exclusion Criteria: - Women with a history of adverse reactions to contrast media. - Women with GFR below 30 mL/min/1.73m². |
Country | Name | City | State |
---|---|---|---|
United States | University of Chicago Medicine | Chicago | Illinois |
Lead Sponsor | Collaborator |
---|---|
University of Chicago | Guerbet |
United States,
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Mann RM, Mus RD, van Zelst J, Geppert C, Karssemeijer N, Platel B. A novel approach to contrast-enhanced breast magnetic resonance imaging for screening: high-resolution ultrafast dynamic imaging. Invest Radiol. 2014 Sep;49(9):579-85. doi: 10.1097/RLI.0000000000000057. — View Citation
Moore SG, Shenoy PJ, Fanucchi L, Tumeh JW, Flowers CR. Cost-effectiveness of MRI compared to mammography for breast cancer screening in a high risk population. BMC Health Serv Res. 2009 Jan 13;9:9. doi: 10.1186/1472-6963-9-9. — View Citation
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Pineda FD, Medved M, Wang S, Fan X, Schacht DV, Sennett C, Oto A, Newstead GM, Abe H, Karczmar GS. Ultrafast Bilateral DCE-MRI of the Breast with Conventional Fourier Sampling: Preliminary Evaluation of Semi-quantitative Analysis. Acad Radiol. 2016 Sep;23(9):1137-44. doi: 10.1016/j.acra.2016.04.008. Epub 2016 Jun 6. — View Citation
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Veltman J, Stoutjesdijk M, Mann R, Huisman HJ, Barentsz JO, Blickman JG, Boetes C. Contrast-enhanced magnetic resonance imaging of the breast: the value of pharmacokinetic parameters derived from fast dynamic imaging during initial enhancement in classifying lesions. Eur Radiol. 2008 Jun;18(6):1123-33. doi: 10.1007/s00330-008-0870-8. Epub 2008 Feb 13. — View Citation
* Note: There are 17 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Compare the diagnostic accuracy of dynamic contrast-enhanced breast MRIs performed with an abbreviated protocol versus a full protocol | The abbreviated protocol will be generated from the full diagnostic protocol. It will comprise of a single unenhanced sequence and a single contrast-enhanced sequence. Subtraction images and a maximum intensity projection (MIP) image will be generated post-examination. The novel kinetic information obtained from the early contrast in combination with morphologic information from a high spatial resolution post-contrast scan, may provide unique dynamic parameters to effectively characterize and diagnose breast lesions on MR imaging. | one year |
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