Model based PBS optimization for flash therapy treatment planning and oncology information system
A computing system comprising a central processing unit (CPU), and memory coupled to the CPU and having stored therein instructions that, when executed by the computing system, cause the computing system to execute operations to generate a radiation treatment plan. The operations include accessing a minimum prescribed dose to be delivered into and across the target, determining a number of beams and directions of the beams, and determining a beam energy for each of the beams, wherein the number of beams, the directions of the beams, and the beam energy for each of the beams are determined such that the entire target receives the minimum prescribed dose. A quantitative time-dependent model-based charged particle pencil beam scanning optimization is then implemented for FLASH therapy.
1. A computer-implemented method for radiotherapy treatment planning, the method comprising:
receiving physical input parameters comprising a physical input parameter for each voxel of a plurality of voxels of a treatment map;
generating a biological outcome map to assign to said each voxel of the treatment map a respective value determined using an input function that is based on a relationship between the physical input parameter for said each voxel and a biological outcome for said each voxel;
displaying the biological outcome map on a computer controlled display device to visualize the relationship; and
optimizing a radiotherapy treatment plan based on the relationship depicted in the biological outcome map in a displayed biological outcome map, wherein the displayed biological outcome map displays a respective biological outcome for said each voxel;
wherein said optimizing comprises implementing quantitative time-dependent model-based charged particle pencil beam scanning optimization for FLASH therapy.
2. The method as described in claim 1 wherein the input function represents a computer memory resident biological model.
3. The method as described in claim 1 wherein optimizing the radiotherapy treatment plan comprises reducing a dose delivered to normal tissue.
4. The method as described in claim 1 further comprising determining the biological outcome by analyzing a post-treatment image.
5. The method as described in claim 1 wherein optimizing the radiotherapy treatment plan comprises optimizing a physical dose and a biological dose of the radiotherapy treatment plan, and further comprising assigning priority levels to the physical dose and the biological dose.
6. The method as described in claim 1 wherein the displaying the biological outcome map comprises overlaying the biological outcome map on top of a 3D dose map in a rendering of the display device.
7. The method as described in claim 1 wherein the biological outcome map comprises a 3D image.
8. The method as described in claim 1 wherein the biological outcome map comprises a 4D image that varies over time.
9. The method as described in claim 8 wherein the receiving physical input parameters comprises accumulating the physical input parameters as 4D physical measurements.
10. The method as described in claim 1 wherein the physical input parameters comprise at least one of a dose and a dose rate.
11. The method as described in claim 1 wherein the physical input parameters comprise at least one of an irradiation time and a beam overlap.
12. The method as described in claim 1 wherein the biological outcome comprises a toxicity level.
13. The method as described in claim 1 wherein the biological outcome comprises at least one of a systemic biomarker and a genetic biomarker.
14. The method of claim 1 , wherein the operations further comprise optimizing parameters of charged particle delivery to attain a desired state of a quantitative time-dependent biological/physical/chemical model based on a mechanism of action for normal tissue sparing.
15. The method of claim 1 , wherein instantaneous particles per second as a function of time down to the nanosecond scale are measured.
16. The method of claim 1 , wherein an optimization algorithm is implemented that requires a biological/physical/chemical model whose inputs are time-dependent flux.
17. The method of claim 16 , wherein the optimization algorithm implements a model that computes indirect cell damage, for a given tissue type, as a function of free radical production governed by time dependent oxygen concentration and particle flux.
18. The method of claim 16 , wherein the optimization algorithm models levels of indirect cell damage from free radicals created by incident radiation.
19. The method of claim 16 , wherein the optimization algorithm simulates oxygen depletion and re-oxygenation by using a time-dependent instantaneous particle flux.
20. An electronic system for radiotherapy treatment planning, the system comprising:
a display device;
a memory; and
a processor in communication with the memory wherein the processor is operable to execute instructions for performing a method of radiotherapy treatment planning, the method comprising:
receiving physical input parameters comprising a physical input parameter for each voxel of a plurality of voxels of a treatment map;
generating a biological outcome map in the memory to assign to said each voxel a respective value determined using an input function that is based on a relationship between the physical input parameter for said each voxel and a biological outcome for said each voxel;
displaying the biological outcome map on the display device to visualize the relationship in a displayed biological outcome map, wherein the displayed biological outcome map displays a respective biological outcome for said each voxel; and
optimizing a radiotherapy treatment plan based on the relationship depicted in the biological outcome map;
wherein said optimizing comprises implementing quantitative time-dependent model-based charged particle pencil beam scanning optimization for FLASH therapy.
21. The system as described in claim 20 wherein the input function represents a biological model.
22. The system as described in claim 20 wherein optimizing the radiotherapy treatment plan comprises reducing a dose delivered to normal tissue.
23. The system as described in claim 20 wherein the method further comprises determining the biological outcome by analyzing a post-treatment image.
24. The system of claim 20 , wherein the operations further comprise optimizing parameters of charged particle delivery to attain a desired state of a quantitative time-dependent biological/physical/chemical model based on a mechanism of action for normal tissue sparing.
25. The system of claim 20 , wherein instantaneous particles per second as a function of time down to the nanosecond scale are measured.
26. The system of claim 20 , wherein an optimization algorithm is implemented that requires a biological/physical/chemical model whose inputs are time-dependent flux.
27. The system of claim 26 , wherein the optimization algorithm implements a model that computes indirect cell damage, for a given tissue type, as a function of free radical production governed by time dependent oxygen concentration and particle flux.
28. The system of claim 26 , wherein the optimization algorithm models levels of indirect cell damage from free radicals created by incident radiation.
29. The system of claim 26 , wherein the optimization algorithm simulates oxygen depletion and re-oxygenation by using a time-dependent instantaneous particle flux.
30. A non-transitory computer-readable storage medium embodying instructions that are executed by a processor to cause the processor to perform a method of radiotherapy treatment planning, the method comprising:
accumulating physical input parameters comprising a physical input parameter for each voxel of a plurality of voxels of a treatment map;
generating a biological outcome map to assign to said each voxel of the treatment map a respective value determined using an input function that is based on a relationship between the physical input parameter for said each voxel and a biological outcome for said each voxel;
displaying the biological outcome map on a display device to visualize the relationship in a displayed biological outcome map, wherein the displayed biological outcome map displays a respective biological outcome for said each voxel; and
optimizing a radiotherapy treatment plan based on the relationship depicted in the biological outcome map;
wherein said optimizing comprises implementing a quantitative time-dependent model-based charged particle pencil beam scanning optimization for FLASH therapy, wherein an optimization algorithm that requires a biological/physical/chemical model whose inputs are time-dependent flux is implemented.