A paramount objective of three-dimensional conformal radiotherapy (3DCRT) is to achieve precise delivery of maximum dose to the target area, white greatly mitigating (if not eliminating) the risk of exposure to adjacent normal body structures. Notwithstanding the advent of sophisticated, computer-controlled equipment, techniques and therapeutic protocols, verification of treatment plans through measurement of dose distributions in gel phantoms has become a desirable practice. Since its introduction in 1984, considerable volume of research on gel dosimetry has evolved a second-generation product with decent performance. In clear distinction from the technical approaches extant, we propose to exploit the sharp phase separation between a lyotropic liquid crystal and a polymer network (produced upon irradiation) to develop the necessary dose contrast (electron density difference) for facile analysis by standard x-ray CT techniques. Besides targeting performance enhancements in terms of dose sensitivity, linearity, response time and resolution, our approach confers an important economic advantage: the use of commonly available CT scanner versus the limited-access MRI scanner prescribed for current gel dosimetric practices. With successful development, we believe that our innovation has the potential to revolutionize the 3DCRT practice because we simultaneously target low cost, high performance, ready access and wide commercial acceptance.

Proposed Commercial Applications

The goal of 3DCRT techniques is to precisely control and confine the high dose volume to the target volume planned for treatment, whereby the risk of patient injury is greatly minimized. We propose a novel approach to develop a get phantom for dosimetric verification of radiation treatment plan, which holds the potential for expeditious commercial implementation, since it specifically targets the utilization of readily available CT scanners for imaging and dosimetric analysis, besides the opportunity for developing a proprietary technology.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
1R43CA092916-01
Application #
6404354
Study Section
Special Emphasis Panel (ZRG1-SSS-7 (10))
Program Officer
Baker, Houston
Project Start
2001-08-10
Project End
2003-05-31
Budget Start
2001-08-10
Budget End
2003-05-31
Support Year
1
Fiscal Year
2001
Total Cost
$98,903
Indirect Cost
Name
Mers, LLC
Department
Type
DUNS #
City
Ann Arbor
State
MI
Country
United States
Zip Code
48105