Wen Li, PhD
Associate Researcher
Radiology
School of Medicine

Dr. Li is an expert in biomedical imaging analysis. At UCSF, her research is focused on optimizing and integrating quantitative imaging (DCE-MRI, DW-MRI, MammiPET) metrics as biomarkers in predicting treatment response for patients with breast cancer. Dr. Li's research interests include quantitative imaging methodology in cancer, tumor heterogeneity in biomedical images, prediction model for treatment response in systematic chemotherapy, machine learning in medicine, etc.

Awards

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• Educational Stipend Award, ISMRM 27th Annual Meeting & Exhibition, 2019
• Magna Cum Laude Merit Award, ISMRM 27th Annual Meeting & Exhibition, 2019
• Educational Stipend Award, ISMRM 26th Annual Meeting & Exhibition, 2018
• Summa Cum Laude Merit Award, Joint Annual Meeting ISMRM-ESMRMB, 2018
• Educational Stipend Award, ISMRM 24th Annual Meeting & Exhibition, 2016
• Clinical Scholar Award, San Antonio Breast Cancer Symposium, 2016
• Educational Stipend Award, ISMRM 23rd Annual Meeting & Exhibition, 2015
• Travel Award, Image Processing Winter School at the University of Sao Paulo, Brazil, 2010
• Outstanding Young Scholar, University of Shanghai for Science and Technology, 2007
• Young Investigator Research Award, Shanghai Municipal Education Commission, 2006-2007
• Young Scholar Research Award, University of Shanghai for Science and Technology, 2005-2006
• Excellent Academic Scholarship, Shanghai Jiao Tong University, 1997-2001

Education & Training

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• Postdoctoral Training Breast Cancer Imaging University of California San Francisco 2019
• Postdoctoral Training Sheikh Zayed Institute for Pediatric Surgical Innovation Children's National Medical Center 2013
• Ph.D. Biomedical Engineering University of Iowa 2012
• M.S. Biomedical Engineering Shanghai Jiao Tong University 2004
• B.S. Biomedical Engineering Shanghai Jiao Tong University 2001

Websites

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• SlideShare (slideshare.net)
• LinkedIn Page (linkedin.com)

Grants and Projects

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• Strategy for combining circulating tumor DNA (ctDNA) and magnetic resonance imaging (MRI) measures of tumor burden for prediction of response and outcome in neoadjuvant-treated early breast cancer, NIH/NCI, 2020-2025

Publications (32)

Top publication keywords:
TrastuzumabEcho-Planar ImagingFluorodeoxyglucose F18Neoadjuvant TherapyMagnetic Resonance ImagingTumor BurdenCirculating Tumor DNADiffusion Magnetic Resonance ImagingCyclophosphamideChemotherapy, AdjuvantTriple Negative Breast NeoplasmsBiomarkers, TumorBreast NeoplasmsBreastCell-Free Nucleic Acids

• Datopotamab-deruxtecan in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial.
  Nature medicine 2024 Khoury K, Meisel JL, Yau C, Rugo HS, Nanda R, Davidian M, Tsiatis B, Chien AJ, Wallace AM, Arora M, Rozenblit M, Hershman DL, Zimmer A, Clark AS, Beckwith H, Elias AD, Stringer-Reasor E, Boughey JC, …
• Datopotamab-deruxtecan plus durvalumab in early-stage breast cancer: the sequential multiple assignment randomized I-SPY2.2 phase 2 trial.
  Nature medicine 2024 Shatsky RA, Trivedi MS, Yau C, Nanda R, Rugo HS, Davidian M, Tsiatis B, Wallace AM, Chien AJ, Stringer-Reasor E, Boughey JC, Omene C, Rozenblit M, Kalinsky K, Elias AD, Vaklavas C, Beckwith H, …
• Cell-free DNA Concentration as a Biomarker of Response and Recurrence in HER2-Negative Breast Cancer Receiving Neoadjuvant Chemotherapy.
  Clinical cancer research : an official journal of the American Association for Cancer Research 2024 Magbanua MJM, Ahmed Z, Sayaman RW, Brown Swigart L, Hirst GL, Yau C, Wolf DM, Li W, Delson AL, Perlmutter J, Pohlmann P, Symmans WF, Yee D, Hylton NM, Esserman LJ, DeMichele AM, Rugo HS, van 't Veer …
• Integrating Imaging and Circulating Tumor DNA Features for Predicting Patient Outcomes.
  Cancers 2024 Magbanua MJM, Li W, van 't Veer LJ
• 18F-FDG Dedicated Breast PET Complementary to Breast MRI for Evaluating Early Response to Neoadjuvant Chemotherapy.
  Radiology. Imaging cancer 2024 Diwanji D, Onishi N, Hathi DK, Lawhn-Heath C, Kornak J, Li W, Guo R, Molina-Vega J, Seo Y, Flavell RR, Heditsian D, Brain S, Esserman LJ, Joe BN, Hylton NM, Jones EF, Ray KM

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• Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge.
  Radiology. Imaging cancer 2024 Li W, Partridge SC, Newitt DC, Steingrimsson J, Marques HS, Bolan PJ, Hirano M, Bearce BA, Kalpathy-Cramer J, Boss MA, Teng X, Zhang J, Cai J, Kontos D, Cohen EA, Mankowski WC, Liu M, Ha R, Pellicer-…
• Effect of Longitudinal Variation in Tumor Volume Estimation for MRI-guided Personalization of Breast Cancer Neoadjuvant Treatment.
  Radiology. Imaging cancer 2023 Onishi N, Bareng TJ, Gibbs J, Li W, Price ER, Joe BN, Kornak J, Esserman LJ, Newitt DC, Hylton NM, I-SPY 2 Imaging Working Group, I-SPY 2 Investigator Network
• Clinical significance and biology of circulating tumor DNA in high-risk early-stage HER2-negative breast cancer receiving neoadjuvant chemotherapy.
  Cancer cell 2023 Magbanua MJM, Brown Swigart L, Ahmed Z, Sayaman RW, Renner D, Kalashnikova E, Hirst GL, Yau C, Wolf DM, Li W, Delson AL, Asare S, Liu MC, Albain K, Chien AJ, Forero-Torres A, Isaacs C, Nanda R, …
• Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy.
  Cancers 2022 Li W, Le NN, Onishi N, Newitt DC, Wilmes LJ, Gibbs JE, Carmona-Bozo J, Liang J, Partridge SC, Price ER, Joe BN, Kornak J, Magbanua MJM, Nanda R, LeStage B, Esserman LJ, Van't Veer LJ, Hylton NM
• Chapter 5 - Disease and Treatment Monitoring in Diffusion MRI of the Breast
  Chapter 5 - Disease and Treatment Monitoring in Diffusion MRI of the Breast 2022 Li, Wen Newitt, David C Partridge, Savannah C Hylton, Nola M
• Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast Cancer.
  Tomography (Ann Arbor, Mich.) 2022 Le NN, Li W, Onishi N, Newitt DC, Gibbs JE, Wilmes LJ, Kornak J, Partridge SC, LeStage B, Price ER, Joe BN, Esserman LJ, Hylton NM
• The Clinical Variant Analysis Tool: Analyzing the evidence supporting reported genomic variation in clinical practice.
  Genetics in medicine : official journal of the American College of Medical Genetics 2022 Chin HL, Gazzaz N, Huynh S, Handra I, Warnock L, Moller-Hansen A, Boerkoel P, Jacobsen JOB, du Souich C, Zhang N, Shefchek K, Prentice LM, Washington N, Haendel M, Armstrong L, Clarke L, Li WL, …
• Post-Processing Bias Field Inhomogeneity Correction for Assessing Background Parenchymal Enhancement on Breast MRI as a Quantitative Marker of Treatment Response.
  Tomography (Ann Arbor, Mich.) 2022 Nguyen AA, Onishi N, Carmona-Bozo J, Li W, Kornak J, Newitt DC, Hylton NM
• Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response.
  Radiology 2021 Onishi N, Li W, Newitt DC, Harnish RJ, Strand F, Nguyen AA, Arasu VA, Gibbs J, Jones EF, Wilmes LJ, Kornak J, Joe BN, Price ER, Ojeda-Fournier H, Eghtedari M, Zamora KW, Woodard S, Umphrey HR, Nelson …
• Circulating tumor DNA and magnetic resonance imaging to predict neoadjuvant chemotherapy response and recurrence risk.
  NPJ breast cancer 2021 Magbanua MJM, Li W, Wolf DM, Yau C, Hirst GL, Swigart LB, Newitt DC, Gibbs J, Delson AL, Kalashnikova E, Aleshin A, Zimmermann B, Chien AJ, Tripathy D, Esserman L, Hylton N, van 't Veer L
• Evaluation of primary breast cancers using dedicated breast PET and whole-body PET.
  Scientific reports 2020 Hathi DK, Li W, Seo Y, Flavell RR, Kornak J, Franc BL, Joe BN, Esserman LJ, Hylton NM, Jones EF
• Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL.
  NPJ breast cancer 2020 Li W, Newitt DC, Gibbs J, Wilmes LJ, Jones EF, Arasu VA, Strand F, Onishi N, Nguyen AA, Kornak J, Joe BN, Price ER, Ojeda-Fournier H, Eghtedari M, Zamora KW, Woodard SA, Umphrey H, Bernreuter W, …
• Predictive Value of Breast MRI Background Parenchymal Enhancement for Neoadjuvant Treatment Response among HER2- Patients.
  Journal of breast imaging 2020 Arasu VA, Kim P, Li W, Strand F, McHargue C, Harnish R, Newitt DC, Jones EF, Glymour MM, Kornak J, Esserman LJ, Hylton NM, ISPY2 investigators
• Comparison of Segmentation Methods in Assessing Background Parenchymal Enhancement as a Biomarker for Response to Neoadjuvant Therapy.
  Tomography (Ann Arbor, Mich.) 2020 Nguyen AA, Arasu VA, Strand F, Li W, Onishi N, Gibbs J, Jones EF, Joe BN, Esserman LJ, Newitt DC, Hylton NM
• Impact of MRI Protocol Adherence on Prediction of Pathological Complete Response in the I-SPY 2 Neoadjuvant Breast Cancer Trial.
  Tomography (Ann Arbor, Mich.) 2020 Onishi N, Li W, Gibbs J, Wilmes LJ, Nguyen A, Jones EF, Arasu V, Kornak J, Joe BN, Esserman LJ, Newitt DC, Hylton NM
• Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer.
  Tomography (Ann Arbor, Mich.) 2020 Li W, Newitt DC, Yun B, Jones EF, Arasu V, Wilmes LJ, Gibbs J, Nguyen AA, Onishi N, Kornak J, Joe BN, Esserman LJ, Hylton NM
• Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL.
  Journal of magnetic resonance imaging : JMRI 2019 Li W, Newitt DC, Wilmes LJ, Jones EF, Arasu V, Gibbs J, La Yun B, Li E, Partridge SC, Kornak J, I-SPY 2 Consortium, Esserman LJ, Hylton NM
• Initial experience of dedicated breast PET imaging of ER+ breast cancers using [F-18]fluoroestradiol.
  NPJ breast cancer 2019 Jones EF, Ray KM, Li W, Chien AJ, Mukhtar RA, Esserman LJ, Franc BL, Seo Y, Pampaloni MH, Joe BN, Hylton NM
• Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial.
  Journal of magnetic resonance imaging : JMRI 2018 Newitt DC, Zhang Z, Gibbs JE, Partridge SC, Chenevert TL, Rosen MA, Bolan PJ, Marques HS, Aliu S, Li W, Cimino L, Joe BN, Umphrey H, Ojeda-Fournier H, Dogan B, Oh K, Abe H, Drukteinis J, Esserman LJ, …
• Dedicated Breast Positron Emission Tomography for the Evaluation of Early Response to Neoadjuvant Chemotherapy in Breast Cancer.
  Clinical breast cancer 2016 Jones EF, Ray KM, Li W, Seo Y, Franc BL, Chien AJ, Esserman LJ, Pampaloni MH, Joe BN, Hylton NM
• Diffusion Tensor Imaging for Assessment of Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer.
  Tomography (Ann Arbor, Mich.) 2016 Wilmes LJ, Li W, Shin HJ, Newitt DC, Proctor E, Harnish R, Hylton NM
• Effect of MR Imaging Contrast Thresholds on Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes: A Subgroup Analysis of the ACRIN 6657/I-SPY 1 TRIAL.
  Tomography (Ann Arbor, Mich.) 2016 Li W, Arasu V, Newitt DC, Jones EF, Wilmes L, Gibbs J, Kornak J, Joe BN, Esserman LJ, Hylton NM, ACRIN 6657 Trial Team and I-SPY Investigators Network
• The Utility of Cloud Computing in Analyzing GPU-Accelerated Deformable Image Registration of CT and CBCT Images in Head and Neck Cancer Radiation Therapy.
  IEEE journal of translational engineering in health and medicine 2016 Zaki G, Plishker W, Li W, Lee J, Quon H, Wong J, Shekhar R
• Variability and bias assessment in breast ADC measurement across multiple systems.
  Journal of magnetic resonance imaging : JMRI 2016 Keenan KE, Peskin AP, Wilmes LJ, Aliu SO, Jones EF, Li W, Kornak J, Newitt DC, Hylton NM
• Effect of Imaging Parameter Thresholds on MRI Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer Subtypes.
  PloS one 2016 Lo WC, Li W, Jones EF, Newitt DC, Kornak J, Wilmes LJ, Esserman LJ, Hylton NM
• Automated parcellation of the brain surface generated from magnetic resonance images.
  Frontiers in neuroinformatics 2013 Li W, Andreasen NC, Nopoulos P, Magnotta VA
• Comparison of Displacement-Based and Force-Based Mapped Meshing.
  MIDAS journal 2008 Magnotta VA, Li W, Grosland NM