L
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.
Lisa J. Wilmes,Maria G. Pallavicini,Lisa M. Fleming,Jessica Gibbs,Donghui Wang,Ka Loh Li,Savannah C. Partridge,Roland G. Henry,David R. Shalinsky,Dana D. Hu-Lowe,John W. Park,Teresa M. McShane,Ying Lu,Robert C. Brasch,Nola M. Hylton +14 more
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
Catherine Klifa,Julio Carballido-Gamio,Lisa J. Wilmes,Anne Laprie,John A. Shepherd,Jessica Gibbs,Bo Fan,Susan M. Noworolski,Nola M. Hylton +8 more
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
Catherine Klifa,Julio Carballido-Gamio,Lisa J. Wilmes,Anne Laprie,C. Lobo,Elizabeth G. Demicco,M. Watkins,John A. Shepherd,Jessica Gibbs,Nola M. Hylton +9 more
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.
Savannah C. Partridge,Lisa Singer,Ryan Sun,Lisa J. Wilmes,Catherine Klifa,Constance D. Lehman,Nola M. Hylton +6 more
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.
Lisa Singer,Lisa J. Wilmes,Emine Ulku Saritas,Ajit Shankaranarayanan,Evelyn Proctor,Dorota J. Wisner,Belinda Chang,Bonnie N. Joe,Dwight G. Nishimura,Nola M. Hylton +9 more
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.