Alana(Amarosa)LewinMD

PubMed

• 85 citations
  Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams.
  Yiqiu Shen, Farah E. Shamout, Jamie R. Oliver, Jan Witowski, Kawshik Kannan
  Nature Communications. 2021-09-24
• 25 citations
  ACR Appropriateness Criteria® Supplemental Breast Cancer Screening Based on Breast Density.
  Susan P. Weinstein, Priscilla J. Slanetz, Alana A. Lewin, Tracy A. Battaglia, Anees B. Chagpar
  Journal of the American College of Radiology. 2021-11-01
• 189 citations
  Deep Neural Networks Improve Radiologists’ Performance in Breast Cancer Screening
  Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang
  IEEE Transactions on Medical Imaging. 2020-04-01

Abstracts/Posters

• Assessment of Background Parenchymal Enhancement in Breast MRI of BRCA 1/2 Mutation Carriers Compared to Matched Controls
  Lewin AA, Kim S, Babb J, Melsaether A, McKellop J, Moccaldi M, Leite APK, Moy L, ISMRM
• Differentiation of benign from malignant non-mass enhancement in BRCA1 mutation carriers using quantitative kinetic analysis
  Amarosa A, Moy L, Melsaether A, McKellop J, Moccaldi M, Zhang J, Kim S, ISMRM
• Association of the amount of fibroglandular tissue on MRI and background parenchymal enhancement on DCE-MRI with breast cancer risk
  Amarosa A, Kim S, Melsaether A, McKellop J, Moccaldi M, Moy L, ISMRM
• High temporal resolution 3D gadolinium-enhanced dynamic MR Imaging of renal tumors with pharmacokinetic modeling: preliminary observation
  Amarosa A, Chandarana H, King S, Bruno M, Arhakis K, Huang W, Suan E, Kim S, ISMRM
• Mammographically and sonographically occult lesions: MRI-DCE kinetic analysis
  Nathaniel E. Margolis, MD; A A Lewin, MD; S Kim, PhD; L Moy, MD; A N Melsaether, MD, SBI, 2015
• Evaluation of lipid composition in the breast using multiple gradient echo MRI
  Freed P, Storey P, Lewin A, Moccaldi M, Moy L, Kim S, Proc. ISMRM Workshop on Magnetic Resonance in Cancer: Challenges & Unmet Needs, 2014
• Histogram analysis of intravoxel incoherent motion (IVIM)-MRI and FDG-PET parameters in breast cancer patients
  Sigmund EE, Moy L, Kim JA, Kim S, Pujara AC, Amarosa A, Jhaveri K, Babb J, Geppert C, Glielmi C, Cho GY, Feiweier EE, Jackson K, Melsaether AN, ISMRM, 2014
• Breast 18FDG-PET/MRI: Correlations between SUVmax , ADCmin, tumor markers and systemic disease
  Melsaether AN, Pujara AC, Sigmund EES, Amarosa AR, Schnabel F, Kiely D, Kim S, Moy L, ISMRM, 2014
• Initial experience: combination of MR pharmacokinetic modeling and FDG uptake using simultaneous dynamic contrast enhanced MRI and PET imaging
  Margolis NE, Moy L, Pujara AC, Amarosa AR, Sigmund EES, Geppert C, Glielmi C, Freed M, Feng L, Otazo R, Melsaether AN, Kim S, ISMRM, 2014
• Association of lesion and background parenchyma in diagnostically challenging breast lesions
  Leite AP, Freed M, Moccaldi M, Block T, Melsaether A, Amarosa A, Kim S, and Moy L, ISMRM, 2013
• Peak enhancement and time to peak enhancement may differentiate mammographically and sonographically occult breast malignancies from normal enhancing breast parenchyma
  Melsaether A, Margolis N, Amarosa A, Moccaldi M, Heller S, Kim S, Moy, L, ISMRM, 2012
• Estimation of reference tissue based arterial input function using neural network
  Zhang J, Amarosa A, Rosenkrantz A, Kim S, ISMRM, 2012
• Peak enhancement of up to 1.0 cm breast masses may help differentiate cancers from benign entities
  Melsaether A, Amarosa A, Margolis N, Moccaldi M, Heller S, Kim S, Moy L, ISMRM, 2012
• Evaluation of the kinetic properties of background parenchymal enhancement across phases of the menstrual cycle
  McKellop J, Amarosa A, Moccaldi M, Clendenen T, Zeleniuch-Jacquotte A, Moy L, Kim S, ISMRM, 2012
• Effect of autoimmune thyroid disease (AITD) in older, euthyroid infertile women undergoing in vitro fertilization (IVF)”
  Reh A, Im S, Amarosa A, Rolnitzky L, Grifo J, Danoff A, ASRM, 2010
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