Yan Li, PhD

Assistant Professor
ASST ADJ PROF-HCOMP

Biography

Dr. Yan Li joined UCSF Radiology and Biomedical Imaging as an Assistant Professor in March 2019. Dr. Li received her medical degree from Shanghai Jiao Tong University in China, Master of Science in Biochemistry from McGill University in Canada, and PhD from the UCSF/UC Berkeley Joint Graduate Program in Bioengineering. Before accepting current position, she worked in the laboratory of Dr. Sarah Nelson as a post-doctoral fellow and later as an assistant research scientist.

Dr. Yan Li’s research focuses on developing methods for obtaining reliable metabolic information from the brain in order to characterize spatial and temporal heterogeneity and the biologic behavior during disease time for brain tumors, psychiatric and neurologic diseases. This includes the development of new methods for obtaining whole brain metabolites and tools for generating metrics of brain neurotransmitters using 3T and 7T MR scanners, implementation of statistical methods to relate metabolic metrics to clinical outcome or measures, and integrating steady state 1H metabolic imaging with PET, hyperpolarized 13C and advanced MR imaging parameters in order to elucidate the underlying normal and abnormal biological process.

Biography

Dr. Yan Li joined UCSF Radiology and Biomedical Imaging as an Assistant Professor in March 2019. Dr. Li received her medical degree from Shanghai Jiao Tong University in China, Master of Science in Biochemistry from McGill University in Canada, and PhD from the UCSF/UC Berkeley Joint Graduate Program in Bioengineering. Before accepting current position, she worked in the laboratory of Dr. Sarah Nelson as a post-doctoral fellow and later as an assistant research scientist.

Dr. Yan Li’s research focuses on developing methods for obtaining reliable metabolic information from the brain in order to characterize spatial and temporal heterogeneity and the biologic behavior during disease time for brain tumors, psychiatric and neurologic diseases. This includes the development of new methods for obtaining whole brain metabolites and tools for generating metrics of brain neurotransmitters using 3T and 7T MR scanners, implementation of statistical methods to relate metabolic metrics to clinical outcome or measures, and integrating steady state 1H metabolic imaging with PET, hyperpolarized 13C and advanced MR imaging parameters in order to elucidate the underlying normal and abnormal biological process.

Education

Ph.D., 2008 - Bioengineering, University of California, Berkeley & San Francisco
MS, 2004 - Biochemistry, McGill University
Bachelor of Medicine, 2002 - Clinical Medicine, Shanghai Jiao Tong University

Honors and Awards

RAP Pilot Award in Precision Imaging of Cancer and Therapy, UCSF, 2017-2018
RAP Grants Pilot for Junior Investigators in Basic and Clinical/Translational Sciences, UCSF, 2015-2016
T32 training award in translational brain tumor research, UCSF, 2012-2013
Margaret Heart Surbeck Scholar Award, UCSF, 2008
Krevans Graduate Research Fellowship, UCSF, 2007-2008
Graduate Dean Fellowship, UCSF, 2004-2005
Graduate Studies Fellowship, McGill University, 2002-2003

Publications

Yan Li and Sarah J. Nelson. Quantitative MRI of the Brain: Principles of Physical Measurement (by Mara Cercignani, Nicholas G. Dowell, Paul S. Tofts). Chapter 12: 1H Spectroscopy of the Brain. 2018.
Li Y, Bian W, Larson P, Crane JC, Parvathaneni P, Nagarajan S, Nelson SJ. Reliable and Reproducible GABA Measurements Using Automated Spectral Prescription at Ultra-High Field. Front Hum Neurosci. 2017; 11:506.
Li Y, Lafontaine M, Chang S, Nelson SJ. Comparison between Short and Long Echo Time Magnetic Resonance Spectroscopic Imaging at 3T and 7T for Evaluating Brain Metabolites in Patients with Glioma. ACS Chem Neurosci. 2018 01 17; 9(1):130-137.
Bian W, Li Y, Crane JC, Nelson SJ. Fully automated atlas-based method for prescribing 3D PRESS MR spectroscopic imaging: Toward robust and reproducible metabolite measurements in human brain. Magn Reson Med. 2018 02; 79(2):636-642.
Nelson SJ, Kadambi AK, Park I, Li Y, Crane J, Olson M, Molinaro A, Roy R, Butowski N, Cha S, Chang S. Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen. Neuro Oncol. 2017 03 01; 19(3):430-439.
Nelson SJ, Li Y, Lupo JM, Olson M, Crane JC, Molinaro A, Roy R, Clarke J, Butowski N, Prados M, Cha S, Chang SM. Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab. J Neurooncol. 2016 10; 130(1):171-179.
Li Y, Jakary A, Gillung E, Eisendrath S, Nelson SJ, Mukherjee P, Luks T. Evaluating metabolites in patients with major depressive disorder who received mindfulness-based cognitive therapy and healthy controls using short echo MRSI at 7 Tesla. MAGMA. 2016 Jun; 29(3):523-33.
Wen Q, Jalilian L, Lupo JM, Li Y, Roy R, Molinaro AM, Chang SM, Prados M, Butowski N, Clarke J, Nelson SJ. Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials. Transl Oncol. 2015 Dec; 8(6):446-55.
Li Y, Park I, Nelson SJ. Imaging tumor metabolism using in vivo magnetic resonance spectroscopy. Cancer J. 2015 Mar-Apr; 21(2):123-8.
Li Y, Larson P, Chen AP, Lupo JM, Ozhinsky E, Kelley D, Chang SM, Nelson SJ. Short-echo three-dimensional H-1 MR spectroscopic imaging of patients with glioma at 7 Tesla for characterization of differences in metabolite levels. J Magn Reson Imaging. 2015 May; 41(5):1332-41.
Nelson SJ, Ozhinsky E, Li Y, Park Iw, Crane J. Strategies for rapid in vivo 1H and hyperpolarized 13C MR spectroscopic imaging. J Magn Reson. 2013 Apr; 229:187-97.
Li Y, Lupo JM, Parvataneni R, Lamborn KR, Cha S, Chang SM, Nelson SJ. Survival analysis in patients with newly diagnosed glioblastoma using pre- and postradiotherapy MR spectroscopic imaging. Neuro Oncol. 2013 May; 15(5):607-17.
Lupo JM, Li Y, Hess CP, Nelson SJ. Advances in ultra-high field MRI for the clinical management of patients with brain tumors. Curr Opin Neurol. 2011 Dec; 24(6):605-15.
Li Y, Lupo JM, Polley MY, Crane JC, Bian W, Cha S, Chang S, Nelson SJ. Serial analysis of imaging parameters in patients with newly diagnosed glioblastoma multiforme. Neuro Oncol. 2011 May; 13(5):546-57.
Li Y, Srinivasan R, Ratiney H, Lu Y, Chang SM, Nelson SJ. Comparison of T(1) and T(2) metabolite relaxation times in glioma and normal brain at 3T. J Magn Reson Imaging. 2008 Aug; 28(2):342-50.
Li Y, Chen AP, Crane JC, Chang SM, Vigneron DB, Nelson SJ. Three-dimensional J-resolved H-1 magnetic resonance spectroscopic imaging of volunteers and patients with brain tumors at 3T. Magn Reson Med. 2007 Nov; 58(5):886-92.
Li Y, Osorio JA, Ozturk-Isik E, Chen AP, Xu D, Crane JC, Cha S, Chang S, Berger MS, Vigneron DB, Nelson SJ. Considerations in applying 3D PRESS H-1 brain MRSI with an eight-channel phased-array coil at 3 T. Magn Reson Imaging. 2006 Dec; 24(10):1295-302.