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Award Abstract #0540063
Collaborative Research: TMRP - Dynamic Data-Driven System for Laser Treatment of Cancer


NSF Org: CBET
Division of Chemical, Bioengineering, Environmental, and Transport Systems
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Initial Amendment Date: September 14, 2005
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Latest Amendment Date: September 14, 2005
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Award Number: 0540063
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Award Instrument: Standard Grant
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Program Manager: Semahat S. Demir
CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems
ENG Directorate for Engineering
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Start Date: October 1, 2005
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Expires: September 30, 2008 (Estimated)
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Awarded Amount to Date: $254070
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Investigator(s): John Hazle jhazle@mdanderson.org (Principal Investigator)
R. Jason Stafford (Co-Principal Investigator)
Luc Bidaut (Co-Principal Investigator)
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Sponsor: University of Texas, M.D. Anderson Cancer Center
1515 Holcombe, Unit 176
Houston, TX 77030 713/792-3220
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NSF Program(s): DYNAMIC DATA DRIVEN APPL SYSTS
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Field Application(s): 0000912 Computer Science
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Program Reference Code(s): HPCC, 9218
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Program Element Code(s): 7481

ABSTRACT

The goal of this project is to develop a dynamic data-driven planning and control

system for laser treatment of cancer. The proposed research includes (1) development of a general mathematical framework and a family of mathematical and computational models of bio-heat transfer, tissue damage, and tumor viability, (2) dynamic calibration, verification and validation processes based on laboratory and clinical data and simulated response, and (3) design of effective thermo-therapeutic protocols using model predictions. At the core of the proposed systems is the adaptive-feedback control of mathematical and computational models based on a posteriori estimates of errors in key quantities of interest, and modern Magnetic Resonance Temperature Imaging (MRTI) and diode laser devices to monitor treatment of tumors in laboratory animals. This approach enables an automated systematic model selection process based on acceptance criteria determined a priori and is valid for models of events occurring at multiple spatial and temporal scales. The proposed project should be of interest to both NIH/NLM and NSF. The methodologies to be implemented involve uncertainty quantification methods designed to provide an innovative, data-driven, patient-specific approach to effective cancer treatment. The general mathematical framework resulting from this research will be applicable to any thermo-therapeutic cancer treatment, but our treatment protocols will be established based on tumors seeded in prostates of canines. The primary objective of the proposed research is to develop treatment strategies by selecting optimal parameter sets (such as laser power, wave length, and fluence rate) based on high fidelity model predictions and data from cellular and in vivo biological measurement, and MRTI thermal distributions.


PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

(Showing: 1 - 10 of 17)
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Elliott A, Stafford RJ, Schwartz J, Wang J, Shetty AM, Bourgoyne C, O'Neal P, Hazle JD. "Laser-Induced Thermal Response and Characterization of Nanoparticles for Cancer Treatment using Magnetic Resonance Thermal Imaging," Medical Physics, v.34, 2007, p. 3102.

Elliott A, Stafford RJ, Shetty A, Schwartz A, Wang C, Bourgoyne P, O'Neal PD, Hazle JD. "Characterization of Laser-Induced Thermal Response of Microshells for Cancer Treatment using Magnetic-Resonance Temperature Imaging," SPIE Photonics, 2007, p. 6440.

Elliott A, Stafford RJ, Shetty A, Schwartz JA, Wang J, Bourgoyne C, O'Neal PD, Hazle JD. "Characterization of Laser-Induced Thermal Response of Microshells for Cancer Treatment using Magnetic-Resonance Temperature Imaging," SPIE Photonics West, v.Jan, 2007, p. 6440.

Elliott AM, Schwartz J, Wang J, Shetty A, Hazle J, Stafford RJ. "Analytical Solution to Heat Equation with Magnetic Resonance Experimental Verification for Nanoshell Enhanced Thermal Therapy," Lasers Surg Med, v.40, 2008, p. 660.

Elliott AM, Stafford RJ, Schwartz J, Wang J, Shetty AM, Bourgoyne C, O'Neal P, Hazle JD. "Laser-Induced Thermal Response and Characterization of Nanoparticles for Cancer Treatment using Magnetic Resonance Thermal Imaging," Medical Physics, v.34, 2007, p. 3102.

Elliott AM, Wang J, Schwartz J, Shetty A, Bourgoyne C, O'Neal P, Hazle JD, Stafford RJ. "Laser Based Nanoshell Thermal Therapy Modeling using the Delta PI Optical Fluence Approximation," Phys Med Bio, v.36 (4), 2009, p. 1351.

Feng Y, Fuentes D, Hawkins A, Bass J, Rylander MN, Stafford RJ, Elliott A, Oden JT. "Nanoshell-Mediated Laser Surgery Simulation for Prostate Cancer Treatment," Engineering with Computers, v.25, 2009, p. 3.

Feng Y, Oden JT, Rylander M. "A Statistical Thermodynamics Based Cell Damage Models and Its Validation In Vitro," J Biomech Eng, v.130(041, 2008, p. 1.

Ji X, Shao R, Elliott AM, Stafford RJ, Esparza-Coss E, Bankson JA, Liang G, Luo ZP, Park K, Markert JT, Li C. "Bifunctional Gold Nanoshells with a Superparamagnetic Iron Oxide-Silica Core Suitable for Both MR Imaging and Photothermal Therapy," J Phys Chem, v.111 (17, 2007, p. 6245.

Ji X, Shao R, Elliott AM, Stafford RJ, Esparza-Coss E, Bankson JA, Liang G, Luo ZP, Park K, Markert JT, Li C. "Bifunctional Gold Nanoshells with a Superparamagnetic Iron Oxide-Silica Core Suitable for Both MR Imaging and Photothermal Therapy," Journal of Physical Chemistry C, v.111:17, 2007, p. 6245.


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Last Updated:April 2, 2007