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Method for constructing prediction mathematic model for organ-at-risk adsorbed dose in intensity modulated radiation therapy

A technology of absorbed dose and mathematical model, applied in medical simulation, instrumentation, informatics, etc., can solve the problems of minimum absorbed dose, difficult planning and application of intensity-modulated radiotherapy, complicated methods, etc., achieving easy data, suitable for widespread application, simple method effect

Active Publication Date: 2016-11-30
THE AFFILIATED HOSPITAL OF SOUTHWEST MEDICAL UNIV
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Problems solved by technology

[0003] Intensity-modulated radiotherapy technology has improved the curative effect of patients, improved the quality of life of patients after treatment, and effectively increased the treatment gain ratio. However, affected by factors such as optimization methods, methods, and human factors, most radiotherapy centers control the organs at risk within a limited range. However, due to the lack of effective prediction and evaluation methods, the final absorbed dose to organs at risk is more dependent on the experience of each radiotherapy unit, and the absorbed dose has not been minimized
[0004] The existing predictive evaluation method extracts the dose information of each sampling point of the organ at risk in the treatment plan, and establishes a prediction model for intensity-modulated radiotherapy. The dose-volume curve of the organ at risk is predicted in advance through this model before making the intensity-modulated radiotherapy plan, so as to ensure The quality of the intensity-modulated radiotherapy plan, the method is relatively complicated, and it is sold at a high price as a commercial software, so it is difficult to be widely and specifically applied in the preparation of the intensity-modulated radiotherapy plan

Method used

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  • Method for constructing prediction mathematic model for organ-at-risk adsorbed dose in intensity modulated radiation therapy
  • Method for constructing prediction mathematic model for organ-at-risk adsorbed dose in intensity modulated radiation therapy
  • Method for constructing prediction mathematic model for organ-at-risk adsorbed dose in intensity modulated radiation therapy

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Embodiment 1

[0033] In this example, 55 medical records of intensity-modulated nasopharyngeal carcinoma patients were selected, and six organs-at-risk, including the inner ear, oral cavity, parotid gland, glottis, cricoid pharynx, and esophagus, were used as templates for research to seek the absorption of organs-at-risk in intensity-modulated radiotherapy Dose prediction mathematical model.

[0034] 1. Requirements for prescription dosage and plan evaluation for the target area of ​​nasopharyngeal carcinoma:

[0035] (1) The prescribed dose is defined as the lowest absorbed dose received by 98% of the planned target area;

[0036] (2) PGTVnx, PGTVrnp single dose 2.10-2.25Gy, total dose 66-70Gy;

[0037] PGTVnd single dose 2.00-2.25Gy, total dose 66-70Gy;

[0038] PCTV1 single dose 1.80-2.05Gy, total dose 60-66Gy;

[0039] The single dose of PCTV2 is 1.80Gy, and the total dose is 54-56Gy.

[0040] (3) Program evaluation requirements:

[0041] (3.1) The volume of PTV receiving ≥110% of...

Embodiment 2

[0094] On the basis of the above-mentioned embodiments, this embodiment uses a neural network for data fitting. The specific process is that the specific process of using the Matlab neural network toolbox for data fitting is: input nftool in the matlab software, open the neural network data fitting Close the toolbox, click next, Inputs select the normalized absorbed dose of the organ at risk to be analyzed, Target selects the normalized volume of the intersecting area between ring1~ringn and the organ at risk, click next, and click the Train button to train the data, that is Networks for data fitting are available.

[0095] According to the established Networks, the obtained and the actual absorbed dose to the organ at risk are fitted, and the obtained goodness of fit is shown in Table 8,

[0096] Table 8 The goodness of fit of different organs at risk predicted by the mathematical model constructed by BP neural network to predict the absorbed dose to organs at risk r

[0097...

Embodiment 3

[0101] This embodiment discloses the specific process of using PCTV2 as the external expansion source to expand the ring outward, and the specific process of expanding PCTV2 into multiple rings ring1-ringn with a width of 0.3 cm. First, use the area of ​​interest of the Pinnacle8.0 software (ROI) external expansion program, with PCTV2 as the external expansion source, create a ring with a width of 0.3 to obtain the first ring (ring1); with PCTV2+ring1 as the external expansion source, create a width with a ring of 0.3, The second ring (ring2) can be obtained; by analogy, PCTV2+ring1+·+ringn-1 is used as the external expansion source to create a ring with a width of 0.3, and the nth ring (ringn) can be obtained.

[0102] The specific operation process in Pinnacle software includes the following steps:

[0103] (a) Click the ROI Expansion / Contraction tool in the Pinnacle software;

[0104] (b) Select PCTV2 for source, input ring1 for Create new ROI Name, input 0.3 for Uniform m...

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Abstract

The invention discloses a method for constructing a prediction mathematic model for organ-at-risk adsorbed dose in intensity modulated radiation therapy. The method comprises the steps of 1, dividing an organ-at-risk into n sub-organs, and obtaining the normalization volume Vn / VOAR of the n sub-organ; 2, obtaining the normalization adsorbed dose Dn10-n100 of the organ-at-risk according to an intensity modulated therapy plan; 3, obtaining the prediction mathematic model according to the normalization volume Vn / VOAR of the n sub-organ and normalization adsorbed dose Dn10-n100 of the organ-at-risk. According to the method, organ-at-risk adsorbed dose is predicted before making the intensity modulated therapy plan; the method is simple and practical, data are easy to acquire, the prediction mathematic model for organ-at-risk adsorbed dose in intensity modulated radiation therapy can be constructed by most radiotherapy units by means of the method based on an existing treatment plan system, and the method is suitable for wide application and popularization.

Description

technical field [0001] The invention relates to the technical field of medical radiotherapy, in particular to a method for constructing a mathematical model for predicting absorbed dose to organs at risk in intensity-modulated radiotherapy. Background technique [0002] Tumor radiotherapy is a local treatment method that uses radiation to treat tumors. It is mainly used for malignant tumors. Statistics show that about 50%-70% of cancer patients need to receive radiation therapy to varying degrees. The basic purpose of radiotherapy is to increase the therapeutic gain ratio of radiotherapy, that is, to maximize the dose of radiation to the target area, kill tumor cells, and reduce or avoid unnecessary irradiation of surrounding normal tissues. Conformal radiation therapy is a more effective physical method to improve the treatment gain ratio. Intensity-modulated radiation therapy, that is, intensity-modulated conformal radiation therapy, is a type of conformal radiation ther...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16H50/50
Inventor 庞皓文孙小杨杨波唐涛石翔翔陈斌
Owner THE AFFILIATED HOSPITAL OF SOUTHWEST MEDICAL UNIV
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