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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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Journal ArticleDOI

Relationship of In Vivo MR Parameters to Histopathological and Molecular Characteristics of Newly Diagnosed, Nonenhancing Lower-Grade Gliomas.

TL;DR: Pathological analysis confirmed that diffusion and metabolic parameters increased and perfusion decreased with tumor cellularity, which can be used to select targets for tissue sampling and to aid in making decisions about treating residual disease.
Proceedings ArticleDOI

Fast magnetic resonance spectroscopic imaging at 3 Tesla using autocalibrating parallel technique.

TL;DR: This work simulated an autocalibrating parallel technique based on GRAPPA algorithm for accelerating MRSI and applied it to 3 dimensional MRSi of the brain at 3 Tesla and metabolic parameters showed close agreement between the full andGRAPPA reconstructed spectral data.
Journal Article

What Is the Role of MR Spectroscopy in the Evaluation and Treatment of Brain Neoplasms

TL;DR: The examination and treatment of a patient with a malignant neoplasm of the brain involves many factors and usually begins with diagnostic imaging studies, such as MR, followed by surgical biopsies or resections of the lesion in question.
Journal ArticleDOI

Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.

TL;DR: The results support prior work that underscores the utility of rCBV in distinguishing the effects of treatment from recurrent tumor within the contrast enhancing lesion and found that metabolic parameters may be better at differentiating recurrent tumor from treatment-related changes in the NEL of high-grade gliomas.