Yan Li, PhD
Associate Professor
Radiology
School of Medicine
Dr. Yan Li is an Associate Professor in the Department of Radiology and Biomedical Imaging. Her research focuses on developing methods for obtaining reliable metabolic information from the brain to characterize spatial and temporal heterogeneity and the biological behavior during disease time for brain tumors, psychiatric and neurologic diseases.
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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 outcomes or measures, and integration of 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.
Awards
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- RAP Shared Technology Award, UCSF, 2024
- RAP Pilot Award for Early Career Investigators, UCSF, 2023
- Developmental Research Program Award, UCSF Brain Tumor SPORE, 2021-2022
- The National Comprehensive Cancer Network (NCCN) Foundation Young Investigator Award, UCSF nominee, UCSF, 2020
- RAP Pilot Award in Precision Imaging of Cancer and Therapy, UCSF, 2017-2018
- RAP Pilot for Junior Investigators in Basic and Clinical/Translational Sciences, UCSF, 2015-2016
- T32 training award in translational brain tumor research, UCSF Brain Tumor Center, 2012-2013
- Margaret Heart Surbeck Scholar Award, UCSF, 2008
- Krevans Graduate Research Fellowship, UCSF, 2007-2008
Education & Training
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- Diversity, Equity, and Inclusion Champion Training University of California 2021
- Ph.D. Bioengineering University of California, Berkeley & San Francisco 2008
- MS Biochemistry McGill University 2004
- Bachelor of Medicine Clinical Medicine Shanghai Jiao Tong University 2002
Websites
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- Li Lab Imaging (lilabimaging.ucsf.edu)
Grants and Projects
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- Brain Tumor SPORE Grant, NIH, 2023-2028
- Automatic, Rapid, High-Resolution Metabolic Imaging for Improved Management of Patients with Glioma, Department of Defense USAMRAA, 2023-2027
- Multimodality Neuroimaging Evaluation of Cognitive Functioning in Lower Grade Astrocytoma, NIH, 2022-2027
- Quantitative Steady-State and Dynamic Metabolic MRI for Evaluating Patients with Glioma, NIH, 2022-2027
- Multimodal Neuroimaging for Evaluating Lower-Grade Astrocytoma, Department of Defense USAMRAA, 2022-2026
- Neural mechanisms of speech motor control in Autism Spectrum Disorders, NIH, 2021-2026
- Integrating 1H MRS with 2H-Labeled Glucose to Characterize Dynamic Glutamate Metabolism in Major Depressive Disorder, NIH, 2023-2025
- Monitoring Patients with IDH-Mutant Astrocytoma Using Dynamic and Steady-State Metabolic Imaging, Department of Defense USAMRAA, 2021-2024
- Simultaneous multi-slice GABA-edited MRSI in the developing brain, NIH, 2017-2020
Publications (37)
Top publication keywords:
Imaging, Three-DimensionalGlioblastomaGliomaMindfulnessCarbon IsotopesBrainMagnetic Resonance ImagingDepressive Disorder, MajorEcho-Planar ImagingSignal-To-Noise RatioBrain NeoplasmsMolecular ImagingMagnetic Resonance SpectroscopyProton Magnetic Resonance SpectroscopyPyruvic Acid
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Evaluation of deep learning models for quality control of MR spectra.
Frontiers in Neuroscience 2023 Sana Vaziri, Huawei Liu, Emily Xie, Hélène Ratiney, Michaël Sdika, Janine M. Lupo, Duan Xu, Yan Li -
Atlas-Based Adaptive Hadamard-Encoded MR Spectroscopic Imaging at 3T.
Tomography 2023 Huawei Liu, Adam W. Autry, Peder E. Z. Larson, Duan Xu, Yan Li -
Evaluation of major depressive disorder using 7 Tesla phase sensitive neuroimaging before and after mindfulness-based cognitive therapy.
Journal of affective disorders 2023 Jakary A, Lupo JM, Mackin S, Yin A, Murray D, Yang T, Mukherjee P, Larson P, Xu D, Eisendrath S, Luks T, Li Y -
Longitudinal MR spectroscopy to detect progression in patients with lower-grade glioma in the surveillance phase.
Neuro-oncology advances 2022 Avalos LN, Luks TL, Gleason T, Damasceno P, Li Y, Lupo JM, Phillips J, Oberheim Bush NA, Taylor JW, Chang SM, Villanueva-Meyer JE -
Assessment of higher-order singular value decomposition denoising methods on dynamic hyperpolarized [1-13C]pyruvate MRI data from patients with glioma.
NeuroImage. Clinical 2022 Vaziri S, Autry AW, Lafontaine M, Kim Y, Gordon JW, Chen HY, Hu JY, Lupo JM, Chang SM, Clarke JL, Villanueva-Meyer JE, Bush NAO, Xu D, Larson PEZ, Vigneron DB, Li Y
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Spectroscopic imaging of D-2-hydroxyglutarate and other metabolites in pre-surgical patients with IDH-mutant lower-grade gliomas.
Journal of neuro-oncology 2022 Autry AW, Lafontaine M, Jalbert L, Phillips E, Phillips JJ, Villanueva-Meyer J, Berger MS, Chang SM, Li Y -
Current human brain applications and challenges of dynamic hyperpolarized carbon-13 labeled pyruvate MR metabolic imaging.
European journal of nuclear medicine and molecular imaging 2021 Li Y, Vigneron DB, Xu D -
Denoising of hyperpolarized 13 C MR images of the human brain using patch-based higher-order singular value decomposition.
Magnetic resonance in medicine 2021 Kim Y, Chen HY, Autry AW, Villanueva-Meyer J, Chang SM, Li Y, Larson PEZ, Brender JR, Krishna MC, Xu D, Vigneron DB, Gordon JW -
Pilot Study of Hyperpolarized 13C Metabolic Imaging in Pediatric Patients with Diffuse Intrinsic Pontine Glioma and Other CNS Cancers.
AJNR. American journal of neuroradiology 2020 Autry AW, Park I, Kline C, Chen HY, Gordon JW, Raber S, Hoffman C, Kim Y, Okamoto K, Vigneron DB, Lupo JM, Prados M, Li Y, Xu D, Mueller S -
A variable resolution approach for improved acquisition of hyperpolarized 13 C metabolic MRI.
Magnetic resonance in medicine 2020 Gordon JW, Autry AW, Tang S, Graham JY, Bok RA, Zhu X, Villanueva-Meyer JE, Li Y, Ohilger MA, Abraham MR, Xu D, Vigneron DB, Larson PEZ -
Characterization of serial hyperpolarized 13C metabolic imaging in patients with glioma.
NeuroImage. Clinical 2020 Autry AW, Gordon JW, Chen HY, LaFontaine M, Bok R, Van Criekinge M, Slater JB, Carvajal L, Villanueva-Meyer JE, Chang SM, Clarke JL, Lupo JM, Xu D, Larson PEZ, Vigneron DB, Li Y -
Tensor image enhancement and optimal multichannel receiver combination analyses for human hyperpolarized 13 C MRSI.
Magnetic resonance in medicine 2020 Chen HY, Autry AW, Brender JR, Kishimoto S, Krishna MC, Vareth M, Bok RA, Reed GD, Carvajal L, Gordon JW, van Criekinge M, Korenchan DE, Chen AP, Xu D, Li Y, Chang SM, Kurhanewicz J, Larson PEZ, … -
Hyperpolarized 13 C MRI data acquisition and analysis in prostate and brain at University of California, San Francisco.
NMR in biomedicine 2020 Crane JC, Gordon JW, Chen HY, Autry AW, Li Y, Olson MP, Kurhanewicz J, Vigneron DB, Larson PEZ, Xu D -
C-13 Hyperpolarized MR Spectroscopy for Metabolic Imaging of Brain Tumors.
2020 Pavithra Viswanath, Yan Li, Sabrina M. Ronen -
First hyperpolarized [2-13C]pyruvate MR studies of human brain metabolism.
Journal of magnetic resonance (San Diego, Calif. : 1997) 2019 Chung BT, Chen HY, Gordon J, Mammoli D, Sriram R, Autry AW, Le Page LM, Chaumeil MM, Shin P, Slater J, Tan CT, Suszczynski C, Chang S, Li Y, Bok RA, Ronen SM, Larson PEZ, Kurhanewicz J, Vigneron DB -
Kinetic Modeling of Hyperpolarized Carbon-13 Pyruvate Metabolism in the Human Brain.
IEEE transactions on medical imaging 2019 Mammoli D, Gordon J, Autry A, Larson PEZ, Li Y, Chen HY, Chung B, Shin P, Van Criekinge M, Carvajal L, Slater JB, Bok R, Crane J, Xu D, Chang S, Vigneron DB -
Comparison between 8- and 32-channel phased-array receive coils for in vivo hyperpolarized 13 C imaging of the human brain.
Magnetic resonance in medicine 2019 Autry AW, Gordon JW, Carvajal L, Mareyam A, Chen HY, Park I, Mammoli D, Vareth M, Chang SM, Wald LL, Xu D, Vigneron DB, Nelson SJ, Li Y -
Coil combination methods for multi-channel hyperpolarized 13C imaging data from human studies.
Journal of magnetic resonance (San Diego, Calif. : 1997) 2019 Zhu Z, Zhu X, Ohliger MA, Tang S, Cao P, Carvajal L, Autry AW, Li Y, Kurhanewicz J, Chang S, Aggarwal R, Munster P, Xu D, Larson PEZ, Vigneron DB, Gordon JW -
Targeting iron metabolism in high-grade glioma with 68Ga-citrate PET/MR.
JCI insight 2018 Behr SC, Villanueva-Meyer JE, Li Y, Wang YH, Wei J, Moroz A, Lee JK, Hsiao JC, Gao KT, Ma W, Cha S, Wilson DM, Seo Y, Nelson SJ, Chang SM, Evans MJ -
Translation of Carbon-13 EPI for hyperpolarized MR molecular imaging of prostate and brain cancer patients.
Magnetic resonance in medicine 2018 Gordon JW, Chen HY, Autry A, Park I, Van Criekinge M, Mammoli D, Milshteyn E, Bok R, Xu D, Li Y, Aggarwal R, Chang S, Slater JB, Ferrone M, Nelson S, Kurhanewicz J, Larson PEZ, Vigneron DB -
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 Yan Li and Sarah J. Nelson -
Reliable and Reproducible GABA Measurements Using Automated Spectral Prescription at Ultra-High Field.
Frontiers in human neuroscience 2017 Li Y, Bian W, Larson P, Crane JC, Parvathaneni P, Nagarajan 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 chemical neuroscience 2017 Li Y, Lafontaine M, Chang S, Nelson SJ -
Fully automated atlas-based method for prescribing 3D PRESS MR spectroscopic imaging: Toward robust and reproducible metabolite measurements in human brain.
Magnetic resonance in medicine 2017 Bian W, Li Y, Crane JC, Nelson SJ -
Association of early changes in 1H MRSI parameters with survival for patients with newly diagnosed glioblastoma receiving a multimodality treatment regimen.
Neuro-oncology 2017 Nelson SJ, Kadambi AK, Park I, Li Y, Crane J, Olson M, Molinaro A, Roy R, Butowski N, Cha S, Chang S -
Serial analysis of 3D H-1 MRSI for patients with newly diagnosed GBM treated with combination therapy that includes bevacizumab.
Journal of neuro-oncology 2016 Nelson SJ, Li Y, Lupo JM, Olson M, Crane JC, Molinaro A, Roy R, Clarke J, Butowski N, Prados M, Cha S, Chang SM -
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 (New York, N.Y.) 2016 Li Y, Jakary A, Gillung E, Eisendrath S, Nelson SJ, Mukherjee P, Luks T -
Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials.
Translational oncology 2015 Wen Q, Jalilian L, Lupo JM, Li Y, Roy R, Molinaro AM, Chang SM, Prados M, Butowski N, Clarke J, Nelson SJ -
Imaging tumor metabolism using in vivo magnetic resonance spectroscopy.
Cancer journal (Sudbury, Mass.) 2015 Li Y, Park I, 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.
Journal of magnetic resonance imaging : JMRI 2014 Li Y, Larson P, Chen AP, Lupo JM, Ozhinsky E, Kelley D, Chang SM, Nelson SJ -
Strategies for rapid in vivo 1H and hyperpolarized 13C MR spectroscopic imaging.
Journal of magnetic resonance (San Diego, Calif. : 1997) 2013 Nelson SJ, Ozhinsky E, Li Y, Park Iw, Crane J -
Survival analysis in patients with newly diagnosed glioblastoma using pre- and postradiotherapy MR spectroscopic imaging.
Neuro-oncology 2013 Li Y, Lupo JM, Parvataneni R, Lamborn KR, Cha S, Chang SM, Nelson SJ -
Advances in ultra-high field MRI for the clinical management of patients with brain tumors.
Current opinion in neurology 2011 Lupo JM, Li Y, Hess CP, Nelson SJ -
Serial analysis of imaging parameters in patients with newly diagnosed glioblastoma multiforme.
Neuro-oncology 2011 Li Y, Lupo JM, Polley MY, Crane JC, Bian W, Cha S, Chang S, Nelson SJ -
Comparison of T(1) and T(2) metabolite relaxation times in glioma and normal brain at 3T.
Journal of magnetic resonance imaging : JMRI 2008 Li Y, Srinivasan R, Ratiney H, Lu Y, Chang SM, Nelson SJ -
Three-dimensional J-resolved H-1 magnetic resonance spectroscopic imaging of volunteers and patients with brain tumors at 3T.
Magnetic resonance in medicine 2007 Li Y, Chen AP, Crane JC, Chang SM, Vigneron DB, Nelson SJ -
Considerations in applying 3D PRESS H-1 brain MRSI with an eight-channel phased-array coil at 3 T.
Magnetic resonance imaging 2006 Li Y, Osorio JA, Ozturk-Isik E, Chen AP, Xu D, Crane JC, Cha S, Chang S, Berger MS, Vigneron DB, Nelson SJ