University of California San Francisco
Helen Diller Family Comprehensive Cancer Center
Yan Li, MD, PhD

Yan Li, MD, PhD

Assistant Research Scientist, Dept. of Radiology and Biomedical Imaging, UCSF

Cancer Center Program Memberships

Neurologic Oncology

Research Summary

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

Shanghai Jiao Tong University, China, MD/BM, 08/2002, Clinical Medicine
McGill University, QC, Canada, MS, 10/2004, Biochemistry
UC Berkeley/UCSF, CA, USA, PhD, 06/2008, Bioengineer


Professional Experience

  • 2008-2013
    Post-doctoral Fellow, Department of Radiology and Biomedical Imaging, UCSF
  • 2013-2014
    Specialist, Department of Radiology and Biomedical Imaging, UCSF
  • 2014-present
    Assistant Research Scientist, Department of Radiology and Biomedical Science, UCSF

Honors & Awards

  • 2002-2003
    Graduate Studies Fellowship, McGill
  • 2004-2005
    Graduate Dean Fellowship, UCSF
  • 2007
    Graduate Student Research Award, UCSF
  • 2007-2008
    Krevans Graduate Research Fellowship, UCSF
  • 2008
    Margaret Heart Surbeck Scholar Award, UCSF

Selected Publications

  1. Adam Autry, Ilwoo Park, Hsin-Yu Chen, Jeremy Gordon, Cassie Kline-Nunnally, Daniel Vigneron, Janine Lupo, Yan Li, Duan Xu, Sabine Mueller. DIPG-31. FEASIBILITY OF HYPERPOLARIZED 13C METABOLIC IMAGING IN PEDIATRIC PATIENTS WITH DIPG AND OTHER CNS CANCERS. Neuro-Oncology. 2019 Apr 23; 21(Supplement_2):ii75-ii75.
    View on PubMed
  2. Adam Autry, Jeremy Gordon, Marisa Lafontaine, Javier Villanueva-Meyer, Daniel Vigneron, Susan Chang, Sarah Nelson, Yan Li. NIMG-08. REPRODUCIBILITY OF HYPERPOLARIZED C-13 METABOLIC IMAGING IN PATIENTS WITH GLIOMA. Neuro-Oncology. 2018 Nov 5; 20(suppl_6):vi177-vi177.
    View on PubMed
  3. Yan Li, Adam Autry, Jeremy Gordon, Jason Crane, Beck Olson, Marisa Lafontaine, Ilwoo Park, Javier Villanueva-Meyer, Daniel Vigneron, Susan Chang, Sarah Nelson. NIMG-66. COMPARISON OF STEADY STATE AND DYNAMIC BRAIN METABOLISM BY USING 1H MRSI AND HYPERPOLARIZED [1-13C]PYRUVATE IMAGING IN PATIENTS WITH GLIOMA. Neuro-Oncology. 2018 Nov 5; 20(suppl_6):vi190-vi191.
    View on PubMed
  4. 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.
    View on PubMed
  5. 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.
    View on PubMed
  6. 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.
    View on PubMed
  7. 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.
    View on PubMed
  8. 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.
    View on PubMed
  9. 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.
    View on PubMed
  10. 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.
    View on PubMed
  11. 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.
    View on PubMed
  12. Li Y, Park I, Nelson SJ. Imaging tumor metabolism using in vivo magnetic resonance spectroscopy. Cancer J. 2015 Mar-Apr; 21(2):123-8.
    View on PubMed
  13. Sarah Nelson, Yan Li, Michael Prados, Nicholas Butowski, Jennifer Clarke, Susan Chang. NI-61VOLUMETRIC H-1 MR METABOLIC IMAGING FOR DEFINITION OF LESION BURDEN AND PREDICTION OF OUTCOME FOR PATIENTS WITH NEWLY DIAGNOSED GBM. Neuro-Oncology. 2014 Nov 1; 16(suppl_5):v151-v152.
    View on PubMed
  14. 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.
    View on PubMed
  15. 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.
    View on PubMed
  16. 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.
    View on PubMed
  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.
    View on PubMed
  18. 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.
    View on PubMed
  19. 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.
    View on PubMed
  20. 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.
    View on PubMed

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