Tumor radiotherapy control system and storage medium

A radiotherapy and storage medium technology, applied in the field of medical devices, can solve problems such as high planning cost, large variance in planning quality, fatigue, anxiety, etc., and achieve the effect of reducing planning cost, improving consistency, and shortening time

Pending Publication Date: 2022-04-15
PEKING UNIV FIRST HOSPITAL
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] The planning phase involves a large number of subjective judgments by physicists and manual operations by clinicians, resulting in large differences in the quality of plans, so it is not easy to promote the use of P-SABR
[0012] 3. High planning cost
At the same time, high-intensity and high-demand planning and design work will cause clinical workers to experience fatigue, anxiety and other reactions in actual work, which will affect the clinical radiotherapy process
That is, the time cost and economic cost are high

Method used

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  • Tumor radiotherapy control system and storage medium
  • Tumor radiotherapy control system and storage medium
  • Tumor radiotherapy control system and storage medium

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Embodiment 1

[0037] image 3 is a schematic structural block diagram of a tumor radiotherapy control system provided by an embodiment of the present invention, such as image 3 As shown, the system includes a dose prediction module, a judgment module and an optimization adjustment module.

[0038] 1. The dose prediction module

[0039] The dose prediction module is used to input the image image of the patient and the structure set containing the boost target area, the tumor target area and the organ at risk in the image image into the dose prediction model, so as to use the dose prediction model to predict the tumor and the dose index received by organs at risk are predicted and processed.

[0040] In addition, the dose prediction module is also used to use historical data to train the dose prediction model to obtain a trained dose prediction model, so as to use the trained dose prediction model to perform prediction processing; wherein the historical data includes : The image image of ...

Embodiment 2

[0064] In order to overcome the disadvantages of unquantifiable target range, variable quality, and time-consuming defects in the design of P-SABR plans, the embodiment of the present invention applies deep learning to the design of clinical radiotherapy plans, and uses artificial intelligence to assist in the design of target volumes. In the P-SABR plan that has been designed in the past, the delineated range of the P-SABR boost target area and the dose data established by this target area and the set dose are saved, and the target area and dose of the previous P-SABR plan are calculated. In-depth learning to obtain a dose prediction model that can be used for radiotherapy dose prediction, and then use the computer's powerful calculation and self-learning capabilities to find the optimal target range that meets the dose limit, so as to automatically generate an optimized target target area and make the tumor The equivalent biological dose is greatly increased without increasin...

Embodiment 3

[0090] An embodiment of the present invention provides a storage medium, the storage medium stores one or more programs for tumor radiotherapy control, and the one or more programs can be executed by one or more processors to achieve the following: Figure 7 The following specific steps are shown:

[0091] Step S701: Input the patient's imaging image and the structure set containing the boost target volume, tumor target volume and organ-at-risk region in the imaging image into the dose prediction model, so as to use the dose prediction model to estimate the impact of the tumor and the organ-at-risk. The dose index for prediction processing.

[0092] Wherein, the imaging images include but not limited to CT imaging images and nuclear magnetic resonance images.

[0093] Wherein, the structure set including the boost target volume, tumor target volume and organ-at-risk regions in the image image is obtained after delineating the boost target volume, tumor target volume and organ...

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Abstract

The invention discloses a tumor radiotherapy control system and a storage medium, and the system comprises a dose prediction module which is used for inputting an image of a patient and a structure set containing a pushing target region, a tumor target region and an area where an organ at risk is located in the image into a dose prediction model, using the dose prediction model to perform prediction processing on dose indexes suffered by tumors and endangered organs; the judgment module is used for judging whether the predicted dose index of the tumor and the organ at risk meets the plan requirement or not; the optimization adjustment module is used for performing automatic adjustment processing on the push target region within the range of the tumor target region when plan requirements are not met, and after the optimization adjustment module obtains the adjusted push target region, prediction processing and judgment processing are repeated, and the prediction processing and the judgment processing are completed. According to the invention, the time of the planning process is shortened, the consistency of the planning quality is improved, and the planning cost is reduced.

Description

technical field [0001] The invention relates to the field of medical devices, in particular to a tumor radiotherapy control system and a storage medium. Background technique [0002] Tumor burden refers to the number of cancer cells in the human body, the size of the tumor, and the total number of cancer lesions. Generally, cancer patients have a large tumor burden and are closely related to surrounding normal tissues. Internal blood supply is insufficient. Surgery, chemotherapy and conventional fractionated radiotherapy (Referred to as radiotherapy) the effect is not satisfactory. In recent decades, radiation oncologists have been working to develop new tumor radiation therapy regimens to address this problem. [0003] In tumor radiation therapy, biological effective dose (Biological Effective Dose, BED) refers to the total dose required to produce the same cell killing for a given scheme with an infinitely low dose rate or an infinitely small dose; the physical dose refer...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61N5/10
Inventor 高献书赵波李岳刘思伟
Owner PEKING UNIV FIRST HOSPITAL
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