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Sarah J. Nelson

Researcher at University of California, San Francisco

Publications -  292
Citations -  24417

Sarah J. Nelson is an academic researcher from University of California, San Francisco. The author has contributed to research in topics: Magnetic resonance spectroscopic imaging & Magnetic resonance imaging. The author has an hindex of 86, co-authored 291 publications receiving 22507 citations. Previous affiliations of Sarah J. Nelson include University of California & University of California, Berkeley.

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TE-averaged two-dimensional proton spectroscopic imaging of glutamate at 3 T.

TL;DR: Two-dimensional metabolite maps were obtained with good SNR and clear differentiation in glutamate levels was observed between gray and white matter with significantly higher glutamate in gray matter relative to white matter as anticipated.
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Metabolic Profiling of IDH Mutation and Malignant Progression in Infiltrating Glioma

TL;DR: Ex vivo metabolic profiles of image-guided tissue samples obtained from patients with newly diagnosed and recurrent LGG were investigated using proton high-resolution magic angle spinning spectroscopy and may be used to develop strategies for in vivo characterization of infiltrative glioma.
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Advanced magnetic resonance spectroscopic neuroimaging: Experts' consensus recommendations

TL;DR: A consensus from a group of experts in the field is presented that reviews the state of the art for clinical proton MRSI studies of the human brain, recommends minimal standards for further development of vendor‐provided MRSi implementations, and identifies areas which need further technical development.
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Changes in Pyruvate Metabolism Detected by Magnetic Resonance Imaging Are Linked to DNA Damage and Serve as a Sensor of Temozolomide Response in Glioblastoma Cells

TL;DR: Results showed how TMZ-induced DNA damage is linked through PKM2 to changes in pyruvate metabolism, and how these changes can be exploited by MRI methods as an early sensor of TMZ therapeutic response.
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Magnetic resonance spectroscopy markers of disease progression in multiple sclerosis.

TL;DR: The mI:NAA ratio in normal-appearing white matter has consistent predictive power on brain atrophy and neurological disability evolution and has cardinal importance in disease severity.