Conventional magnetic resonance imaging has good sensitivity for detecting breast lesions but its specificity is inadequate. High Spectral and Spatial Resolution (HISS) Magnetic Resonance Imaging (MRI) of water and fat signals may increase both sensitivity and specificity of MRI. HiSS MRI equals or exceeds the spatial resolution of conventional MRI and provides detailed spectra of the water and fat in each voxel. The water and fat lineshapes are analyzed to produce images proportional to water resonance linewidth, peak height, integral, changes following contrast media injection, and other parameters. HiSS MRI images are acquired with clinically acceptable run times using echo-planar spectroscopic methods. NIH-funded work in this laboratory demonstrated quantitatively that contrast, edge delineation, and sensitivity to contrast agents in breast images derived from HiSS data are improved compared to conventional images. We now propose to test the method in a large group of women with focal breast abnormalities in order to evaluate whether HiSS MRI improves diagnostic accuracy when combined with conventional MRI, and to extend the quantitative comparisons between HiSS and conventional MRI. We will test HiSS MRI in women with suspicious microcalcifications that may be associated with ductal carcinoma in situ (DCIS). In clinical practice these patients are referred for biopsy, and the biopsies are frequently negative. As a result there is unnecessary anxiety, discomfort, and cost. In addition, some cancers may be missed because of inadequate sampling on biopsy. We propose to use HiSS MRI to scan the location of the microcalcifications. This is an appropriate target for HiSS MRI in its current form because it is localized and has complex morphology. We will test the hypothesis that: Addition of HiSS to conventional MRI exams in women who may have DClS increases diagnostic accuracy. Women with suspicious breast lesions (n=300) who are scheduled for routine clinical MRI scans prior to biopsy will be recruited for this study. Experimental HiSS MRI scans will be integrated into the conventional MRI protocol. We will determine whether addition of HiSS data to conventional data increases sensitivity and specificity. In addition, HiSS images will be quantitatively compared to conventional images. Biopsy results will serve as the 'gold standard'.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
2R01CA078803-04A2
Application #
6777776
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Torres-Anjel, Manuel J
Project Start
1999-09-01
Project End
2008-02-29
Budget Start
2004-03-01
Budget End
2005-02-28
Support Year
4
Fiscal Year
2004
Total Cost
$253,531
Indirect Cost
Name
University of Chicago
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
005421136
City
Chicago
State
IL
Country
United States
Zip Code
60637
Mustafi, Devkumar; Zamora, Marta; Fan, Xiaobing et al. (2015) MRI accurately identifies early murine mammary cancers and reliably differentiates between in situ and invasive cancer: correlation of MRI with histology. NMR Biomed 28:1078-86
Bhooshan, Neha; Giger, Maryellen; Medved, Milica et al. (2014) Potential of computer-aided diagnosis of high spectral and spatial resolution (HiSS) MRI in the classification of breast lesions. J Magn Reson Imaging 39:59-67
Wood, Abbie M; Medved, Milica; Bacchus, Ian D et al. (2013) Classification of breast lesions pre-contrast injection using water resonance lineshape analysis. NMR Biomed 26:569-77
Medved, Milica; Karczmar, Gregory S; Newstead, Gillian M (2012) Do we really need contrast agents? Eur J Radiol 81 Suppl 1:S99-100
Medved, Milica; Fan, Xiaobing; Abe, Hiroyuki et al. (2011) Non-contrast enhanced MRI for evaluation of breast lesions: comparison of non-contrast enhanced high spectral and spatial resolution (HiSS) images versus contrast enhanced fat-suppressed images. Acad Radiol 18:1467-74
Medved, Milica; Newstead, Gillian M; Abe, Hiroyuki et al. (2010) Clinical implementation of a multislice high spectral and spatial resolution-based MRI sequence to achieve unilateral full-breast coverage. Magn Reson Imaging 28:16-21
Medved, Milica; Ivancevic, Marko K; Olopade, Olufunmilayo I et al. (2010) Echo-planar spectroscopic imaging (EPSI) of the water resonance structure in human breast using sensitivity encoding (SENSE). Magn Reson Med 63:1557-63
Medved, Milica; Newstead, Gillian M; Fan, Xiaobing et al. (2009) Fourier component imaging of water resonance in the human breast provides markers for malignancy. Phys Med Biol 54:5767-79
Fan, Xiaobing; Karczmar, Gregory S (2009) A new approach to analysis of the impulse response function (IRF) in dynamic contrast-enhanced MRI (DCEMRI): a simulation study. Magn Reson Med 62:229-39
Jansen, Sanaz A; Fan, Xiaobing; Karczmar, Gregory S et al. (2008) DCEMRI of breast lesions: is kinetic analysis equally effective for both mass and nonmass-like enhancement? Med Phys 35:3102-9

Showing the most recent 10 out of 30 publications