Research Summary

Janine Lupo, PhD, is an Associate Professor in the Surbeck Laboratory of Advanced Imaging and Neuroimaging Research Interest Group of the Department of Radiology and Biomedical Imaging. She is a member of the UCSF/UC Berkeley Graduate Group in Bioengineering, Helen Diller Family Comprehensive Cancer Center, Institute for Computational Health Sciences, and Quantitative Biosciences Institute. Dr. Lupo received her BSE in Bioengineering at the University of Pennsylvania, School of Engineering and Applied Science in Philadelphia before completing her PhD at the UCSF/UCB PhD Joint Graduate Group in Bioengineering. Before accepting the Assistant Professor position, Dr. Lupo was an Assistant and Associate Researcher in the Department of Radiology and Biomedical Imaging at UCSF.

Dr. Lupo’s research focuses on the development and application of novel MR imaging data acquisition, processing, and analysis techniques for the evaluation of patients with brain tumors and other neurological diseases using our research 3T and 7T whole body scanners. This includes the development of quantitative algorithms critical for processing data from advanced acquisitions for patient studies, implementation of statistical and machine learning models to relate imaging markers with biological characteristics from pathology and clinical outcome in order to both identify patients who would benefit most for a given therapy, and monitor the effects of therapy over time on tumor control, normal brain tissue structure, and cognition.

Dr. Lupo is the Principal or Co-Principal Investigator for 3 NIH grants, as well as a co-Project leader of 2 projects within an NIH Programmatic Project Grant and Brain Tumor SPORE Grant. She has published over 50 research articles.

Expertise:
Bioengineering

Specialty:
Neuroimaging

Professional Interests:
Magnetic resonance imaging, ultra-high field MRI, algorithm development for quantitative image analysis, imaging biomarker discovery, brain cancer, neurological diseases, evaluation of therapy, the effects of therapy on cognition, statistical modeling and deep learning

Research Funding

  • September 30, 2009 - June 30, 2024 - Brain Vascular Malformation Consortium: Predictor's of Clinical Course, Co-Investigator. Sponsor: NIH/NINDS, Sponsor Award ID: U54NS065705
  • April 1, 2019 - March 31, 2024 - Mitigation of preanalytic factors influencing brain tumor protein phosphorylation, Co-Investigator. Sponsor: NIH/NCI, Sponsor Award ID: U01CA229345
  • September 20, 2002 - August 31, 2023 - Brain Tumor SPORE Grant, Co-PI of Project 2. Sponsor: NIH, Sponsor Award ID: 2P50CA097257-16
  • July 1, 2017 - June 30, 2022 - IMPROVED MONITORING OF PREMANIFEST AND EARLY HUNTINGTONS USING 7T MULTIMODAL MRI, Co-PI. Sponsor: NIH/NINDS, Sponsor Award ID: R01NS099564

Education

University of Pennsylvania, Philadelphia, PA, BSE, 9/1997 – 5/2001, Bioengineering
University of California, San Francisco & Berkeley PhD 8/2001 – 8/2006, Bioengineering
University of California, San Francisco Post-Doc 9/2006 – 3/2010 High Field MRI of Brain

Honors & Awards

  • 2019
    Secretary, ISMRM MR Cancer Study Group
  • 2017
    Johnson & Johnson Women In STEM2D award in Engineering, UCSF nominee
  • 2016
    UCSF RAP Family Support Award
  • 2012
    NIH Clinical Loan Repayment Program Continuation Award
  • 2012
    UCSF RAP Grants Novel Clinical/Translational Methods Award
  • 2011
    UCSF Radiology Symposium Poster Award, UCSF
  • 2010
    Honorable Mention Poster Award, UCSF BTS Symposium
  • 2010
    NIH Clinical Loan Repayment Program Award
  • 2010
    UCSF Brain Tumor SPORE Career Development Award
  • 2010
    Neuroimaging Poster Award Nomination, ISMRM Conference

Selected Publications

  1. Morrison MA, Lupo JM 7-T Magnetic Resonance Imaging in the Management of Brain Tumors.  View on PubMed
  2. 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 Pilot Study of Hyperpolarized 13C Metabolic Imaging in Pediatric Patients with Diffuse Intrinsic Pontine Glioma and Other CNS Cancers.  View on PubMed
  3. Lupo JM Diffusion MRI as an early marker of response to immune checkpoint inhibitors.  View on PubMed
  4. Alcaide-Leon P, Cluceru J, Lupo JM, Yu TJ, Luks TL, Tihan T, Bush NA, Villanueva-Meyer JE Centrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation Study.  View on PubMed
  5. Cluceru J, Nelson SJ, Wen Q, Phillips JJ, Shai A, Molinaro AM, Alcaide-Leon P, Olson MP, Nair D, LaFontaine M, Chunduru P, Villanueva-Meyer JE, Cha S, Chang SM, Berger MS, Lupo JM Recurrent tumor and treatment-induced effects have different MR signatures in contrast enhancing and non-enhancing lesions of high-grade gliomas.  View on PubMed
  6. Morrison MA, Mueller S, Felton E, Jakary A, Stoller S, Avadiappan S, Yuan J, Molinaro AM, Braunstein S, Banerjee A, Hess CP, Lupo JM Rate of radiation-induced microbleed formation on 7T MRI relates to cognitive impairment in young patients treated with radiation therapy for a brain tumor.  View on PubMed
  7. Han M, Yang B, Fernandez B, Lafontaine M, Alcaide-Leon P, Jakary A, Burns BL, Morrison MA, Villanueva-Meyer JE, Chang SM, Banerjee S, Lupo JM Simultaneous multi-slice spin- and gradient-echo dynamic susceptibility-contrast perfusion-weighted MRI of gliomas.  View on PubMed
  8. 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 Characterization of serial hyperpolarized 13C metabolic imaging in patients with glioma.  View on PubMed
  9. Avadiappan S, Payabvash S, Morrison MA, Jakary A, Hess CP, Lupo JM A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness.  View on PubMed
  10. Chen Y, Jakary A, Avadiappan S, Hess CP, Lupo JM QSMGAN: Improved Quantitative Susceptibility Mapping using 3D Generative Adversarial Networks with increased receptive field.  View on PubMed
  11. Alcaide-Leon P, Luks TL, Lafontaine M, Lupo JM, Okada H, Clarke JL, Villanueva-Meyer JE Treatment-induced lesions in newly diagnosed glioblastoma patients undergoing chemoradiotherapy and heat-shock protein vaccine therapy.  View on PubMed
  12. Chen Y, Villanueva-Meyer JE, Morrison MA, Lupo JM Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network.  View on PubMed
  13. Cao P, Liu J, Tang S, Leynes AP, Lupo JM, Xu D, Larson PEZ Technical Note: Simultaneous segmentation and relaxometry for MRI through multitask learning.  View on PubMed
  14. Park I, Lupo JM, Nelson SJ Correlation of Tumor Perfusion Between Carbon-13 Imaging with Hyperpolarized Pyruvate and Dynamic Susceptibility Contrast MRI in Pre-Clinical Model of Glioblastoma.  View on PubMed
  15. Majumdar S, Lupo J, Vigneron D, Ronen S, Kurhanewicz J, Hess C In memoriam: Sarah J. Nelson, January 26, 1954-April 3, 2019.  View on PubMed
  16. Morrison MA, Hess CP, Clarke JL, Butowski N, Chang SM, Molinaro AM, Lupo JM Risk factors of radiotherapy-induced cerebral microbleeds and serial analysis of their size compared with white matter changes: A 7T MRI study in 113 adult patients with brain tumors.  View on PubMed
  17. Villanueva-Meyer JE, Chang P, Lupo JM, Hess CP, Flanders AE, Kohli M Machine Learning in Neurooncology Imaging: From Study Request to Diagnosis and Treatment.  View on PubMed
  18. Vareth M, Lupo J, Larson P, Nelson S A comparison of coil combination strategies in 3D multi-channel MRSI reconstruction for patients with brain tumors.  View on PubMed
  19. Morrison MA, Payabvash S, Chen Y, Avadiappan S, Shah M, Zou X, Hess CP, Lupo JM A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning.  View on PubMed
  20. Autry A, Phillips JJ, Maleschlijski S, Roy R, Molinaro AM, Chang SM, Cha S, Lupo JM, Nelson SJ Characterization of Metabolic, Diffusion, and Perfusion Properties in GBM: Contrast-Enhancing versus Non-Enhancing Tumor.  View on PubMed

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