A present need exists for the development of accurate and efficient dose calculation methods for clinical treatment planning in external beam radiotherapy. Due to recent advances in image guided localization techniques and the development of more precise beam delivery methods such as Intensity Modulated Radiation Therapy (IMRT) and Stereotactic Radiosurgery (SRS), the potential exists to substantially reduce margins and improve dose conformity. However, most dose calculation methods in clinical use today employ approximations that limit their accuracy and scope of use, especially with narrow beams in the presence of heterogeneities. As a result, the adoption of more accurate methods such as Monte Carlo is seen as highly desirable. However, Monte Carlo calculations can be time consuming, limiting their effectiveness for clinical treatment planning. The application of a novel deterministic dose calculation method, which solves the differential form of the governing transport equations for neutral and charged particles is proposed. As indicated in preliminary studies, this approach has the potential to provide accuracy comparable to detailed Monte Carlo simulations with a substantially faster computational speed. The proposed approach incorporates anisotropic element adaptation to efficiently resolve complex anatomical features and sharp solution gradients, which is aided by the use of higher-order discontinuous finite element methods on variably sized tetrahedral elements. In Phase 1, a proof-of-concept process will be developed to quantify performance for patient specific dose calculations. This will be validated with detailed Monte Carlo results for selected treatment plans incorporating bone, air and lung heterogeneities, using both wide and narrow beams. Success will be measured on performance relative to Monte Carlo, defined in terms of combined speed and accuracy. Potential enhancements to further improve efficiency in Phase 2 will be identified, and an estimate of achievable clinical performance will be provided.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43CA105806-01A1
Application #
6883471
Study Section
Special Emphasis Panel (ZRG1-ONC-M (11))
Program Officer
Deye, James
Project Start
2005-01-01
Project End
2006-08-31
Budget Start
2005-01-01
Budget End
2006-08-31
Support Year
1
Fiscal Year
2005
Total Cost
$99,291
Indirect Cost
Name
Transpire, Inc.
Department
Type
DUNS #
141808183
City
Gig Harbor
State
WA
Country
United States
Zip Code
98335
Vassiliev, Oleg N; Wareing, Todd A; Davis, Ian M et al. (2008) Feasibility of a multigroup deterministic solution method for three-dimensional radiotherapy dose calculations. Int J Radiat Oncol Biol Phys 72:220-7