# US 11,439,843 B2 · Knowledge based treatment planning corrected for biological effects > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,439,843 B2 - Document ID: US11439843B2 - Status: Granted - Kind: B2 - Application number: 16/730,519 - Filed: 2019-12-30 - Published: 2020-05-14 - Granted: 2022-09-13 - Earliest claimed: 2017-04-13 - Assignees: Varian Medical Systems International AG - Applicants: Varian Medical Systems International AG. - Inventors: Esa Kuusela; Jarkko Y. Peltola; Joakim Pyyry - Web page: https://patentgrep.com/patent/US11439843B2 ## CPC - A61N 5/1031: {using a specific method of dose optimization} - A61N 5/103: {Treatment planning systems} - A61N 2005/1041: {using a library of previously administered radiation treatment applied to other patients} - A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B) ## Abstract Solutions are provided herein that specifically accounts for biological effects of tissue during radiation planning (such as treatment planning). In one or more embodiments, the biological effects may be calculated by accessing a knowledge base to determine reference data comprising at least one biological characteristic corresponding to the at least one organ, predicting a biological effect for the plurality of identified structures based on the biological characteristic corresponding to the at least one organ, and generating or modifying a radiation plan based on the biological effect. By incorporating biological data and fraction dose information, dose-estimation models can be created and trained to more accurately estimate dose absorption and effectiveness. Moreover, existing estimation models may be adapted to create dose estimations that account for the biological efficiency of target structures. ## Claims ### Claim 1 A system comprising: a memory device configured to store at least a set of programmed instructions and a radiation plan data; a network connection communicatively coupling the system with a network; and a processor configured to execute the set of programmed instructions to predict a radiation-target-specific biological effect for a radiation target, the processor being further configured to determine a plurality of structures in image data corresponding to the radiation target, identify at least one organ from the plurality of structures, access a knowledge base via the network connection to determine reference data comprising at least one biological characteristic corresponding to the at least one organ, and predict the radiation-target specific biological effect for the plurality of structures based on the at least one biological characteristic of the at least one organ; wherein the at least one biological characteristic comprises at least one of: a recovery rate corresponding to at least one structure of the plurality of structures; a repopulation rate corresponding to at least one structure of the plurality of structures; a re-distribution rate corresponding to at least one structure of the plurality of structures; a re-oxygenation rate corresponding to at least one structure of the plurality of structures; and a radio resistance rate corresponding to at least one structure of the plurality of structures; wherein the processor is further configured to generate a radiation plan based on the predicted biological effect; wherein the processor is further configured to generate instructions to a radiation application device coupled to a radiation source, the instructions comprising instructions to apply radiation to the radiation target according to the radiation plan. ### Claim 2 (depends on 1) The system of claim 1, wherein, to predict the biological effect, the processor is further configured to determine an absolute dose distribution from the radiation plan. ### Claim 3 (depends on 1) The system of claim 1, wherein the radiation plan comprises a plan to apply the radiation according to a plurality of fractionations. ### Claim 4 (depends on 1) The system of claim 1, wherein, to predict the biological effect, the processor is further configured to determine an absolute dose distribution from the radiation plan, to determine a fraction dose based on the absolute dose distribution and a plurality of fractionations, and to determine the biological effect based on the at least one biological characteristic and corresponding to the plurality of fractionations. ### Claim 5 (depends on 1) The system of claim 1, wherein, to predict the biological effect, the processor is further configured to determine an absolute dose distribution from the radiation plan, and to determine a fraction dose based on the absolute dose distribution and a plurality of fractionations. ### Claim 6 (depends on 1) The system of claim 1, wherein, the generate the radiation plan, the processor is further configured to plot a dose-volume histogram (DVH) curve. ### Claim 7 (depends on 1) The system of claim 1, wherein, the generate the radiation plan, the processor is further configured to plot a dose-volume histogram (DVH) curve for each structure of the plurality of structures based on a radiation dose adjusted to account for the predicted biological effect. ### Claim 8 (depends on 1) The system of claim 1, wherein, to predict the biological effect, the processor is further configured to factor at least one of: a user-supplied biological effect parameter; and a pre-determined biological effect parameter. ### Claim 9 (depends on 1) The system of claim 1, wherein the radiation application device comprises a gantry. ### Claim 10 (depends on 1) The system of claim 1, wherein the radiation comprises proton radiation, electron radiation, or photon radiation. ### Claim 11 A system comprising: a memory device configured to store at least a set of programmed instructions and a radiation plan data; a network connection communicatively coupling the system with a network; and a processor configured to execute the set of programmed instructions to predict a radiation-target-specific biological effect for a radiation target, the processor being further configured to determine a plurality of structures in image data corresponding to the radiation target, identify at least one organ from the plurality of structures, access a knowledge base via the network connection to determine reference data comprising at least one biological characteristic corresponding to the at least one organ, predict the radiation-target specific biological effect for the plurality of structures based on the at least one biological characteristic of the at least one organ, and generate a radiation plan based on the predicted biological effect; wherein the at least one biological characteristic comprises at least one of: a recovery rate corresponding to at least one structure of the plurality of structures; a repopulation rate corresponding to at least one structure of the plurality of structures; a re-distribution rate corresponding to at least one structure of the plurality of structures; a re-oxygenation rate corresponding to at least one structure of the plurality of structures; and a radio resistance rate corresponding to at least one structure of the plurality of structures; wherein the processor is configured to apply a data model to the at least one biological characteristic to predict the biological effect; and wherein the processor is further configured to generate instructions to a radiation application device coupled to a radiation source, the instructions comprising instructions to apply radiation to the radiation target according to the radiation plan. ### Claim 12 (depends on 11) The system of claim 11, wherein the data model comprises a linear-quadratic (LQ) data model. ### Claim 13 (depends on 11) The system of claim 11, wherein, to the generate the radiation plan, the processor is further configured to plot a dose-volume histogram (DVH) curve for each structure of the plurality of structures based on a radiation dose adjusted to account for the predicted biological effect. ### Claim 14 (depends on 11) The system of claim 11, wherein the radiation plan comprises a plan to apply the radiation according to a plurality of fractionations. ### Claim 15 (depends on 11) The system of claim 11, wherein, to generate the radiation plan, the processor is further configured to plot a dose-volume histogram (DVH) curve. ### Claim 16 (depends on 11) The system of claim 11, wherein, to predict the biological effect, the processor is further configured to factor at least one of: a user-supplied biological effect parameter; and a pre-determined biological effect parameter. ### Claim 17 A system comprising: a memory device configured to store at least a set of programmed instructions and a radiation plan data; a network connection communicatively coupling the system with a network; and a processor configured to execute the set of programmed instructions to predict a radiation-target-specific biological effect for a radiation target, the processor being further configured to determine a plurality of structures in image data corresponding to the radiation target, identify at least one organ from the plurality of structures, access a knowledge base via the network connection to determine reference data comprising at least one biological characteristic corresponding to the at least one organ, predict the radiation-target specific biological effect for the plurality of structures based on the at least one biological characteristic of the at least one organ, and generate a radiation plan based on the predicted biological effect; wherein the at least one biological characteristic comprises at least one of: a recovery rate corresponding to at least one structure of the plurality of structures; a repopulation rate corresponding to at least one structure of the plurality of structures; a re-distribution rate corresponding to at least one structure of the plurality of structures; a re-oxygenation rate corresponding to at least one structure of the plurality of structures; and a radio resistance rate corresponding to at least one structure of the plurality of structures; wherein the processor is configured to factor a structure-based biological effect parameter to predict the biological effect; and wherein the processor is further configured to generate instructions to a radiation application device coupled to a radiation source, the instructions comprising instructions to apply radiation to the radiation target according to the radiation plan. ### Claim 18 (depends on 17) The system of claim 17, wherein the radiation plan comprises a plan to apply the radiation according to a plurality of fractionations. ### Claim 19 (depends on 17) The system of claim 17, wherein the processor is configured to apply a data model to the at least one biological characteristic to predict the biological effect. ### Claim 20 (depends on 19) The system of claim 19, wherein the data model comprises a linear-quadratic (LQ) data model.