The United States have the highest annual incidence rates of breast cancer in the word. It is the second-most common cancer (after skin cancer) and the second-most common cause of cancer death (after lung cancer). . It is estimated that, in 2014, there will be an estimated 1,665,540 new cancer cases diagnosed and 585,720 cancer deaths in the US. Worldwide more than one million new cases of breast cancer are found every year. Apparently, an effective or accurate, minimally invasive, and low-cost solution for breast cancer treatment will have enormous clinic impact and significance on saving women's lives. To address the problems and technical challenges facing breast radiation therapy (RT), together with its collaborator, we proposes a radically different methodology called 4D SGRT technology to dynamically compute on-treatment breast anatomy structure and adaptively re-plan the radiation therapy. The proposed technology uses a non-invasive and adaptive image guidance based methodology. It eliminates uncertainties due to setup, mobility, and deformation for optimized delivery. It is also expected to shortened breast RT session with improved accuracy, and reduces minimum treatment setup time. Successful completion of the project will provide foundation for the next generation breast RT, and make it possible for millions of breast cancer patients to benefit from the most recent technological advances in a timely fashion. The radiation therapy market is growing rapidly with annual cancer rates worldwide projected to increase by fifty percent by 2020, mainly due to aging population, increasing number of smokers and unhealthy life styles. The Fredonia Group estimated that U.S. has $16.8 billion US market for cancer therapies, and it is growing ten percent annually. With over 2,000 radiation treatment machines in the US and many more in the world, the market for a clinically acceptable 3D camera enabled adaptive therapy system is significant.

Public Health Relevance

The 4D SGRT technology developed under this SBIR project will have enormous clinical impact and significance on saving women's lives through an effective or accurate, non-invasive imaging guided and low-cost solution. The proposed radically different methodology eliminates the use of on-board radiation for the pre-treatment verification process. Instead, it relies on a non-invasive modality to dynamically compute the on-treatment breast anatomy structure (virtual on-treatment CT) and then adaptively re-plans the radiation therapy in real time. It thus eliminates uncertainties due to setup, mobility, and deformation for optimized delivery. Once completed, the technology is also expected to shortened breast RT session with improved accuracy, and reduces minimum treatment setup time.

Agency
National Institute of Health (NIH)
Institute
National Center for Advancing Translational Sciences (NCATS)
Type
Small Business Innovation Research Grants (SBIR) - Phase I (R43)
Project #
5R43TR001285-02
Application #
9068278
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Portilla, Lillianne M
Project Start
2015-06-01
Project End
2017-05-31
Budget Start
2016-06-01
Budget End
2017-05-31
Support Year
2
Fiscal Year
2016
Total Cost
Indirect Cost
Name
Xyken, LLC
Department
Type
DUNS #
962171851
City
Mc Lean
State
VA
Country
United States
Zip Code
22102