Systems and methods for specifying treatment criteria and treatment parameters for patient specific radiation therapy planning

Patent metadata

Field	Value
Publication number	US-2016129282-A1
Application number	US-201414893055-A
Country	US
Kind code	A1
Filing date	Jun 18, 2014
Priority date	Jun 18, 2013
Publication date	May 12, 2016
Grant date	—

Abstract

Disclosed herein are systems and methods for specifying treatment criteria and treatment planning parameters for patient specific radiation therapy planning. According to an aspect, a method includes receiving data about a patient, computing geometric characterization of one or more organs at risk proximate to a target volume of a patient or vice versa, and selecting relevant treatment knowledge and experience. The method also includes generating, based on the received data, computed geometric characterization, and available knowledge and experience, a first set of radiation treatment planning parameters that will lead to a high quality plan for the patient. Further, the method includes model-based prediction, based on the data, a second set or more of radiation treatment planning parameters that will lead to alternative achievable plans with different organ sparing objectives for treating the patient. The multiple sets for parameters can be used separately or in conjunction to generate treatment plans.

First claim

What is claimed is:

1 . A method comprising:
at a processor and memory: receiving data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient; generating, based on the data, a first set of radiation treatment planning parameters for the patient in a treatment model; generating, based on the data, a second set of radiation treatment planning parameters for treating the patient in the treatment model, the first set of radiation treatment planning parameters being different than the second set of radiation treatment planning parameters; and presenting the first and second radiation treatment planning parameters via a user interface.

2 . The method of claim 1 , wherein the patient information includes one or more of patient image, patient organ contour information, target volume contour information, and clinical parameters.

3 . The method of claim 1 , wherein the geometric characterization associates each of a plurality of distances from the target volume with a respective percentage for the volume of the one or more organs at risk.

4 . The method of claim 1 , wherein the data comprises the size of the target volume and the respective sizes and shapes of the one or more organs at risk.

5 . The method of claim 1 , wherein the data comprises information about one of radiation treatment knowledge, experience, and preferences, and computerized models of published clinical trials results and guidelines.

6 . The method of claim 1 , further comprising computing the geometric characterization of the patient.

7 . The method of claim 1 , wherein the radiation treatment planning parameters are represented by at least one of a dose distribution and a dose volume histogram.

8 . The method of claim 1 , wherein generating a first set of radiation treatment planning parameters comprises generating the first set of radiation treatment planning parameters based on a predictive model.

9 . The method of claim 1 , wherein generating a second set of radiation treatment planning parameters comprises generating the second set of radiation treatment planning parameters based on a predictive model.

10 . The method of claim 1 , wherein the data includes a geometric characterization of the target volume with respect to one or more organs at risk.

11 . The method of claim 1 , further comprising storing the data.

12 . The method of claim 1 , further comprising training a predictive model on a plurality of input-output mappings, wherein the output of each input-output mapping is based on a dose distribution and dose volume histograms for a respective patient, and wherein the input of each input-output mapping comprises one or more data that are based on the geometric characterization.

13 . A system comprising:
at least one processor and memory configured to: receive data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient; generate, based on the data, a first set of radiation treatment planning parameters for the patient in a treatment model; and generate, based on the data, a second set of radiation treatment planning parameters for treating the patient in the treatment model, the first set of radiation treatment planning parameters being different than the second set of radiation treatment planning parameters; and a user interface configured to present the first and second radiation treatment planning parameters.

14 . The system of claim 13 , wherein the patient information includes one or more of patient image, patient organ contour information, target volume contour information, and clinical parameters.

15 . The system of claim 13 , wherein the geometric characterization associates each of a plurality of distances from the target volume with a respective percentage for the volume of the one or more organs at risk.

16 . The system of claim 13 , wherein the data comprises the size of the target volume and the respective sizes and shapes of the one or more organs at risk.

17 . The system of claim 13 , wherein the data comprises information about one of knowledge, experience, and preferences, and computerized models of published clinical trials results and guidelines.

18 . The system of claim 13 , wherein the at least one processor and memory are configured to are configured to compute the geometric characterization of the patient.

19 . The system of claim 13 , wherein the radiation treatment planning parameters are represented by at least one of a dose distribution and a dose volume histogram.

20 . The system of claim 13 , wherein the at least one processor and memory configured to are configured to generate the first set of radiation treatment planning parameters based on a predictive model.

21 . The system of claim 13 , wherein the at least one processor and memory are configured to generate the second set of radiation treatment planning parameters based on a predictive model.

22 . The method of claim 13 , wherein the data includes a geometric characterization of the target volume with respect to one or more organs at risk.

23 . The method of claim 13 , wherein the at least one processor and memory are configured to configured to store the data.

24 . The method of claim 13 , wherein the at least one processor and memory configured to train a predictive model on a plurality of input-output mappings, wherein the output of each input-output mapping is based on a dose distribution and dose volume histograms for a respective patient, and wherein the input of each input-output mapping comprises one or more data that are based on the geometric characterization.

25 . A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions by a computing device to cause the computing device to:
receive, by the computing device, data based on patient information and geometric characterization of one or more organs at risk proximate to a target volume of a patient; generate, by the computing device and based on the data, a first set of radiation treatment planning parameters for the patient in a treatment model; and generate, by the computing device and based on the data, a second set of radiation treatment planning parameters for treating the patient in the treatment model, the first set of radiation treatment planning parameters being different than the second set of radiation treatment planning parameters; and present, by the computing device and based on the data, the first and second radiation treatment planning parameters.

Assignees

• Univ Duke

Inventors

• Yin Fang-Fang
• Wu Qingrong Jackie
• Yuan Lulin
• Ge Yaorong

Classifications

• G16H40/20

  for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms · CPC title

• A61N2005/1074

  Details of the control system, e.g. user interfaces · CPC title

• G16H20/40

  relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture · CPC title

• A61N5/1031

  using a specific method of dose optimization · CPC title

• A61N5/103 Primary

  Treatment planning systems · CPC title