The full potential of proton therapy cannot be fully exploited due to uncertainties in the dose deposition characteristics of individual proton treatment beams caused by patient set-up errors, day- to-day changes in patient anatomy, and the overall response of irradiated tissues over the course of treatment. Therefore, current standard proton treatment techniques include the use of larger than desirable treatment margins and safety margins to ensure proper dose is delivered to the tumor in the presence of these uncertainties. The need for these large margins severely limits our ability to exploit the proton Bragg Peak's sharp dose gradients, thus reducing the full clinical potential of proton radiation therapy. Therefore, in order to fully exploit the advantages of the proton Bragg peak, there is a significant and critical need to reduce proton beam range uncertainties, allowing for the reduction of safety margins and the use of more optimal treatment beams, thus allowing the physical advantages of the proton Bragg peak to be exploited. Fortunately, inherent to proton therapy is the emission of elemental `prompt' gamma rays (PG) due to non-elastic proton-nucleus interactions in irradiated tissues. Each element in tissue emits a unique spectrum of PG energies along the path of the beam in the patient, making it a prime signal for beam range verification. We hypothesize that if PG emission during treatment delivery could be adequately measured and imaged, it would allow for the direct verification of the delivered beam range in-vivo. Our long-term goal is to improve the accuracy and precision of proton radiotherapy by monitoring the beam range and tissue response to irradiation in- vivo. To reach this goal, we have established a working academic-industrial partnership dedicated to the translation of our prototype prompt gamma imaging (PGI) system into a clinically viable system.
The specific aims of this proposal are to: (1) build an efficient PG detection system, (2) develop a clinical platfor for PG image display and evaluation, and (3) characterize the functionality and perform initial pilot/evaluation studies our PGI system during patient treatment delivery. The proposed research will result in the development of a clinical PGI system for in-vivo imaging during proton radiotherapy treatment delivery. This will allow the measurement of the actual in-vivo dose delivery, thus reducing the inherent uncertainty in proton beam range. By measuring and verifying the beam range, we can reduce or even eliminate the need for large treatment safety margins to account for range uncertainty as a means of ensuring treatment safety and accuracy.

Public Health Relevance

The proposed research aims to translate the novel `prompt gamma imaging' method used for in-vivo range verification of proton radiotherapy into clinical application. This technique would allow us to image the actual in-vivo proton beam range and dose distribution delivered during treatment. Such capabilities would allow for monitoring of the accuracy of treatment delivery (via measured changes to the delivered beam range) on a daily basis, providing a means to ensure proper dose deliver is maintained over the course of treatment, thus reduce or eliminate the negative effects that current range uncertainties have on treatment delivery.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA187416-04
Application #
9526458
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Capala, Jacek
Project Start
2015-09-25
Project End
2020-07-31
Budget Start
2018-08-01
Budget End
2019-07-31
Support Year
4
Fiscal Year
2018
Total Cost
Indirect Cost
Name
University of Maryland Baltimore
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
188435911
City
Baltimore
State
MD
Country
United States
Zip Code
21201
Draeger, E; Peterson, S; Mackin, D et al. (2017) Feasibility Studies of a New Event Selection Method to Improve Spatial Resolution of Compton Imaging for Medical Applications. IEEE Trans Radiat Plasma Med Sci 1:358-367