This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. Benign-Malignant Lesion Differentiation Using Functional ADC-Thresholding ?Allowing Expert Radiologist Interpretation ? Versus Conventional Thresholding Based On ADC Cut-Off Values Diffusion-weighted imaging (DWI) may aid in the discrimination of benign from malignant (breast) lesions. Approaches to benefit from the information contained in the DWI dataset have mostly been based on trying to define a cut-off value for the lesion ADC. This may be limiting because of the relatively low SNR, the relatively high variability of lesion ADC - even within one hospital or patient population - and the limited potential of the results to be extrapolated to different field strengths, pulse-sequences or b-values. We used an approach in which the high CNR of DWI and the quantitative information of the ADC are presented to the radiologist in a """"""""functionally-thresholded ADC (ftADC) map"""""""" that increases the conspicuity of lesions of interest, much like phase-images are used to increase vascular conspicuity in susceptibility- weighted imaging. Radiologists can """"""""window-level"""""""" ftADC-maps at their discretion and diagnose a lesion as """"""""ftADC-bright"""""""" without having to choose an ADC-threshold value;Similar to, for example, a cystic lesion being interpreted as """"""""T2-bright"""""""" without using T2-cut-off values. We performed a retrospective, HIPAA-compliant, IRB-approved analysis of DW data sets of 103 consecutive women who underwent 1.5T MRI for the evaluation of breast cancer. Conventional ADC-thresholding was compared to ftADC-mapping and to dynamic contrast-enhanced (DCE) MRI, for all pathology-verified lesions. To read about other projects ongoing at the Lucas Center, please visit http://rsl.stanford.edu/ (Lucas Annual Report and ISMRM 2011 Abstracts)

Agency
National Institute of Health (NIH)
Institute
National Center for Research Resources (NCRR)
Type
Biotechnology Resource Grants (P41)
Project #
5P41RR009784-17
Application #
8362919
Study Section
Special Emphasis Panel (ZRG1-SBIB-U (40))
Project Start
2011-04-01
Project End
2012-03-31
Budget Start
2011-04-01
Budget End
2012-03-31
Support Year
17
Fiscal Year
2011
Total Cost
$19,531
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
Taviani, Valentina; Alley, Marcus T; Banerjee, Suchandrima et al. (2017) High-resolution diffusion-weighted imaging of the breast with multiband 2D radiofrequency pulses and a generalized parallel imaging reconstruction. Magn Reson Med 77:209-220
Guo, Jia; Holdsworth, Samantha J; Fan, Audrey P et al. (2017) Comparing accuracy and reproducibility of sequential and Hadamard-encoded multidelay pseudocontinuous arterial spin labeling for measuring cerebral blood flow and arterial transit time in healthy subjects: A simulation and in vivo study. J Magn Reson Imaging :
Uecker, Martin; Lustig, Michael (2017) Estimating absolute-phase maps using ESPIRiT and virtual conjugate coils. Magn Reson Med 77:1201-1207
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Aksoy, Murat; Maclaren, Julian; Bammer, Roland (2017) Prospective motion correction for 3D pseudo-continuous arterial spin labeling using an external optical tracking system. Magn Reson Imaging 39:44-52
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Vos, Sjoerd B; Aksoy, Murat; Han, Zhaoying et al. (2016) Trade-off between angular and spatial resolutions in in vivo fiber tractography. Neuroimage 129:117-132
Suh, Ga-Young; Choi, Gilwoo; Herfkens, Robert J et al. (2016) Three-Dimensional Modeling Analysis of Visceral Arteries and Kidneys during Respiration. Ann Vasc Surg 34:250-60
Ong, Frank; Lustig, Michael (2016) Beyond Low Rank + Sparse: Multi-scale Low Rank Matrix Decomposition. IEEE J Sel Top Signal Process 10:672-687

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