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Lisa J. Wilmes

Researcher at University of California, San Francisco

Publications -  45
Citations -  1444

Lisa J. Wilmes is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Breast MRI & Breast cancer. The author has an hindex of 18, co-authored 39 publications receiving 1139 citations. Previous affiliations of Lisa J. Wilmes include Mayo Clinic.

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Journal ArticleDOI

AG-013736, a novel inhibitor of VEGF receptor tyrosine kinases, inhibits breast cancer growth and decreases vascular permeability as detected by dynamic contrast-enhanced magnetic resonance imaging.

TL;DR: The correlative relationship between microvasculature changes and tumor growth inhibition supports DCE-MRI methods as a biomarker of VEGF receptor target inhibition with potential clinical utility and suggests 3D MRI-based volume measurements are more sensitive than caliper measurements for detecting small changes in tumor volume.
Journal ArticleDOI

Magnetic resonance imaging for secondary assessment of breast density in a high-risk cohort

TL;DR: MRI may provide a volumetric measure more representative of breast composition than mammography, particularly in groups of women with dense breasts, and could potentially be quantified and used for a better assessment of breast cancer risk in these populations.
Proceedings ArticleDOI

Quantification of breast tissue index from MR data using fuzzy clustering

TL;DR: The breast tissue index could become a common measure for future studies of using noncontrast MRI data because it correlated well with mammographic densities.
Journal ArticleDOI

Diffusion-weighted MRI: influence of intravoxel fat signal and breast density on breast tumor conspicuity and apparent diffusion coefficient measurements.

TL;DR: Robust fat suppression is important for accurate breast ADC measures and optimal lesion conspicuity on DWI and there were systematic underestimations of ADC for both tumor and normal breast tissue due to intravoxel contribution from fat signal on non-fat-suppressed DWI.
Journal ArticleDOI

High-resolution diffusion-weighted magnetic resonance imaging in patients with locally advanced breast cancer.

TL;DR: Differences in ADC distribution parameters and qualitative image features suggest that the sequences differ in their ability to capture tumor heterogeneity, suggesting that rFOV DW MRI may be valuable in imaging the lower ADCs expected to correspond to viable tumor in most invasive breast cancers.