N
Neil M. Rofsky
Researcher at University of Texas Southwestern Medical Center
Publications - 178
Citations - 9312
Neil M. Rofsky is an academic researcher from University of Texas Southwestern Medical Center. The author has contributed to research in topics: Magnetic resonance imaging & Prostate cancer. The author has an hindex of 51, co-authored 176 publications receiving 8672 citations. Previous affiliations of Neil M. Rofsky include United States Department of Veterans Affairs & New York University.
Papers
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Journal ArticleDOI
MR imaging relaxation times of abdominal and pelvic tissues measured in vivo at 3.0 T: preliminary results.
TL;DR: T1 relaxation times are generally higher and T2 relaxation time are generally lower at 3.0 T than at 1.5 T, but the magnitude of change varies greatly in different tissues, including liver, kidney, spleen, and muscle tissue.
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Prevalence of Incidental Pancreatic Cysts in the Adult Population on MR Imaging
TL;DR: The prevalence of incidentally detected pancreatic cysts on MR imaging is 13.5%, and increases with age, a majority of these cysts are not reported on MR Imaging studies.
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Hepatocellular carcinoma and dysplastic nodules in patients with cirrhosis: prospective diagnosis with MR imaging and explantation correlation.
Glenn A. Krinsky,Vivian S. Lee,Neil D. Theise,Jeffrey C. Weinreb,Neil M. Rofsky,Thomas Diflo,Lewis W. Teperman +6 more
TL;DR: MR imaging is insensitive for the diagnosis of small (<2-cm) HCCs and DNS.
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MR Imaging Evaluation of Acute Appendicitis in Pregnancy
TL;DR: MR imaging is an excellent modality for use in excluding acute appendicitis in pregnant women who present with acute abdominal pain and in whom a normal appendix is not visualized at US.
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Renal Cell Carcinoma: Dynamic Contrast-enhanced MR Imaging for Differentiation of Tumor Subtypes—Correlation with Pathologic Findings
Maryellen R. M. Sun,Long Ngo,Elizabeth M. Genega,Michael B. Atkins,Myra E. Finn,Neil M. Rofsky,Ivan Pedrosa +6 more
TL;DR: Clear cell, papillary, and chromophobe RCCs demonstrate different patterns of enhancement on two-time point clinical dynamic contrast agent-enhanced magnetic resonance (MR) images, allowing their differentiation with high sensitivity and specificity.