Overview: Although magnetic resonance imaging (MRI) has shown clinical accuracy in detecting many types of breast cancer, higher-resolution MRI would potentially improve detectability of small lesions, diagnosis of ductal carcinoma in situ, and specificity of MRI for other cancers. Numerous recent advances in MRI technology will enable higher resolution exams, but have not yet been applied to fully optimize imaging for breast cancer. We propose to develop, implement and validate breast MRI methods with very high spatial-resolution at 3T. Significance: Although breast MRI has recently been shown to be cost-effective in screening high risk patients or patients with a contralateral breast cancer, its sensitivity to ductal carcinoma in situ, it's ability to assess small lesions, and its positive predictive value limit increased use. Higher resolution MRI could address all of these limitations, providing a more accurate tool for assessment of breast cancer. Improved specificity could reduce the rate of unnecessary biopsy while also making MRI effective for screening lower-risk patients. Increased sensitivity for small lesions could allow earlier detection of cancer resulting in increased survival rates and a reduced screening frequency. Approach: As a first aim, we will develop fat-suppressed ultra-high-resolution 3D MRI pulse sequences for T1-weighted and T2-weighted imaging at 3T, combining numerous advances in excitation pulse design, imaging and reconstruction. We will test the clinical utility of ultra-high-resolution imaging in a small patient study. Next, as a second aim, we will extend the high-resolution imaging methods for full bilateral breast coverage using high-density phased-array coils fitted specifically to the patient in order to provide maximal signal levels, volumetric coverage and parallel imaging capability. We will also apply software and hardware techniques to reduce sensitivity to magnetic field variations at 3T. The overall bilateral techniques will be tested in a second patient study to assess the utility of the complete high-resolution whole-breast imaging protocol. Project Narrative Magnetic resonance imaging (MRI) is an accurate method to detect breast cancer, and has recently been shown to be cost-effective in screening high-risk patients. This research will develop much higher resolution MRI, allowing it to better classify small lesions, prevent unnecessary biopsy, and detect cancer earlier. ? ? ?

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
1R01EB009055-01
Application #
7563879
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Liu, Guoying
Project Start
2008-09-15
Project End
2012-06-30
Budget Start
2008-09-15
Budget End
2009-06-30
Support Year
1
Fiscal Year
2008
Total Cost
$453,084
Indirect Cost
Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
009214214
City
Stanford
State
CA
Country
United States
Zip Code
94305
Srinivasan, Subashini; Hargreaves, Brian A; Daniel, Bruce L (2018) Fat-based registration of breast dynamic contrast enhanced water images. Magn Reson Med 79:2408-2414
Levine, Evan; Hargreaves, Brian (2018) On-the-Fly Adaptive ${k}$ -Space Sampling for Linear MRI Reconstruction Using Moment-Based Spectral Analysis. IEEE Trans Med Imaging 37:557-567
Perkins, Stephanie L; Daniel, Bruce L; Hargreaves, Brian A (2018) MR imaging of magnetic ink patterns via off-resonance sensitivity. Magn Reson Med 80:2017-2023
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Zhang, Tao; Chen, Yuxin; Bao, Shanshan et al. (2017) Resolving phase ambiguity in dual-echo dixon imaging using a projected power method. Magn Reson Med 77:2066-2076
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Yoruk, Umit; Saranathan, Manojkumar; Loening, Andreas M et al. (2016) High temporal resolution dynamic MRI and arterial input function for assessment of GFR in pediatric subjects. Magn Reson Med 75:1301-11
Kang, Bong Joo; Lipson, Jafi Alyssa; Planey, Katie RoseMary et al. (2015) Rim sign in breast lesions on diffusion-weighted magnetic resonance imaging: diagnostic accuracy and clinical usefulness. J Magn Reson Imaging 41:616-23
Barentsz, Maarten W; Taviani, Valentina; Chang, Jung M et al. (2015) Assessment of tumor morphology on diffusion-weighted (DWI) breast MRI: Diagnostic value of reduced field of view DWI. J Magn Reson Imaging 42:1656-65

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