Bio

Clinical Focus


  • Radiation Oncology
  • Cancer > Radiation Oncology

Academic Appointments


Administrative Appointments


  • Medical Director, Stanford Emanuel Radiation Oncology Center (2007 - Present)

Professional Education


  • Residency:Loma Linda University - School of Medicine (2004) CA
  • Medical Education:Oregon Health Science University (1999) OR
  • Board Certification: Radiation Oncology, American Board of Radiology (2006)
  • Internship:Boise VA Medical Center (2000) ID

Research & Scholarship

Current Research and Scholarly Interests


Control systems engineering approach to radiobiological modeling.

Publications

Journal Articles


  • The Relative Biologic Effectiveness versus Linear Energy Transfer Curve as a Cell Trait APPLIED MATHEMATICS Luu, Q., DuChateau, P. 2013; 4 (11C): 23-27

    View details for DOI 10.4236/am.2013.411A3004

  • Fourier analysis of energy transfer data obtained by simulating a 14-MeV alpha-particle in water NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION B-BEAM INTERACTIONS WITH MATERIALS AND ATOMS Luu, Q. T., DuChateau, P., Dingfelder, M. 2010; 268 (2): 219-222
  • THE RELATIVE BIOLOGIC EFFECTIVENESS VERSUS LINEAR ENERGY TRANSFER CURVE AS AN OUTPUT-INPUT RELATION FOR LINEAR CELLULAR SYSTEMS MATHEMATICAL BIOSCIENCES AND ENGINEERING Luu, Q. T., DuChateau, P. 2009; 6 (3): 591-602

    Abstract

    Experiments have established that different radiation types have different magnitudes of biological response. When biological response is defined in terms of the Relative Biologic Effectiveness (RBE) and different radiation type is characterized by Linear Energy Transfer (LET), the plot of the RBE versus LET (RBE-LET) curve shows RBE to increase with increasing LET, to reach a maximum, and to decrease with further increasing LET. Perhaps due to the descriptive nature of biology, most quantitative models for the RBE-LET curve ignore the reality of the underlying molecular biology. On the other hand, the molecular basis for the RBE-LET curve is not completely known despite recent efforts. Here we introduce a differential equation formulation for a signal-and-system model that sees cells as systems, different radiation types as input, and cellular responses as output. Because of scant knowledge of the underlying biochemical network, the current version is necessarily a work in progress. It explains the RBE-LET curve using not just input parameters but also systems internal state parameters. These systems internal state parameters represent parts of a biochemical network within a cell. Although multiple biochemical parts may well be involved, the shape of the RBE-LET curve is reproduced when only three system parameters are related to three biochemical parts: the molecular machinery for DNA double strand break repair; the molecular pathways for handling oxidative stress; and the radiolytic products of the cellular water. Despite being a simplified ''toy model,'' changes in the systems state parameters lead to model curves that are refutable in a modern molecular biology laboratory. As the parts in the biochemical network of the radiation response are being further elucidated, this model can incorporate new systems state parameters to allow a more accurate fit.

    View details for DOI 10.3934/mbe.2009.6.591

    View details for Web of Science ID 000269130300011

    View details for PubMedID 19566129

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