J
Jamie S. Chang
Researcher at University of California, San Francisco
Publications - 8
Citations - 1178
Jamie S. Chang is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Perfusion scanning & Magnetic resonance imaging. The author has an hindex of 5, co-authored 5 publications receiving 1088 citations.
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Journal ArticleDOI
Differentiation of Recurrent Glioblastoma Multiforme from Radiation Necrosis after External Beam Radiation Therapy with Dynamic Susceptibility-weighted Contrast-enhanced Perfusion MR Imaging
Ramon F. Barajas,Jamie S. Chang,Mark R. Segal,Andrew T. Parsa,Michael W. McDermott,Mitchel S. Berger,Soonmee Cha +6 more
TL;DR: Findings suggest that DSC perfusion MR imaging may be used to differentiate recurrent GBM from EBRT-induced radiation necrosis.
Differentiation of Recurrent Glioblastoma Multiforme from Radiation Necrosis after External Beam Radiation Therapy with Dynamic Susceptibility- weighted Contrast-enhanced
TL;DR: In this paper, the authors investigated whether cerebral blood volume (CBV), peak height (PH), and percentage of signal intensity recovery (PSR) measurements derived from the results of T2*-weighted dynamic susceptibility weighted contrast materialenhanced (DSC) magnetic resonance (MR) imaging performed after external beam radiation therapy (EBRT) can be used to distinguish recurrent glioblastoma multiforme (GBM) from radiation necrosis.
Journal ArticleDOI
Distinguishing Recurrent Intra-Axial Metastatic Tumor from Radiation Necrosis Following Gamma Knife Radiosurgery Using Dynamic Susceptibility-Weighted Contrast-Enhanced Perfusion MR Imaging
Ramon F. Barajas,Jamie S. Chang,Penny K. Sneed,Mark R. Segal,Michael W. McDermott,Soonmee Cha +5 more
TL;DR: The findings of this study suggest that perfusion MR imaging may be used to differentiate recurrent intra-axial metastatic tumor from gamma knife−induced radiation necrosis.
Journal ArticleDOI
Diffusion-weighted MR imaging derived apparent diffusion coefficient is predictive of clinical outcome in primary central nervous system lymphoma.
TL;DR: Evidence is provided that ADC measurements within contrast-enhancing regions of PCNSL tumors may provide noninvasive insight into clinical outcome, and an inverse correlation between cellular density and ADC measurements was observed.
Journal ArticleDOI
Glioblastoma multiforme regional genetic and cellular expression patterns: influence on anatomic and physiologic MR imaging.
Ramon F. Barajas,J. Graeme Hodgson,Jamie S. Chang,Scott R. VandenBerg,Ru Fang Yeh,Andrew T. Parsa,Michael W. McDermott,Mitchel S. Berger,William P. Dillon,Soonmee Cha +9 more
TL;DR: Findings suggest MR imaging is significantly influenced by GBM genetic and cellular biologic features of aggressiveness and imply physiologic MR imaging may be useful in pinpointing regions of highest malignancy within heterogeneous tissues, thus facilitating histologic grading of primary glial brain tumors.