A radiation therapy dose warning method, device, medium and product

Abstract

The present invention provides a radiotherapy dose warning method, comprising receiving target radiotherapy plan data corresponding to a target patient and target CBCT data of the target patient during each radiotherapy; calculating the target density variable of the CBCT data of the target patient during each radiotherapy according to the target reflection therapy plan data and the target CBCT data; outputting each of the target density variables to a preset dose characteristic solution model to obtain the corresponding target radiation source dose characteristic; judging whether the target radiation source dose characteristic is within the clinical dose characteristic standard range, and if not, issuing a warning message. A radiotherapy dose warning method of the present invention does not require complex calculations of the target radiation source dose characteristic, simplifies the preliminary calculation process of the radiotherapy dose warning, and improves the efficiency of the warning.

Description

Technical Field

[0001] The present invention relates to the field of tumor radiotherapy, and in particular to a radiotherapy dose early warning method, equipment, medium and method. Background Art

[0002] With the update of medical equipment and the advancement of diagnosis and treatment technology, external beam radiotherapy based on linear accelerators has become an irreplaceable key link in comprehensive tumor treatment. With the application of irradiation technologies such as three-dimensional conformal, intensity-modulated radiation therapy (IMRT) and volumetric modulated arc therapy (VMAT), tumors and related target areas can be highly conformed to doses. In addition, the dose within the target area can be modulated according to clinical requirements, and a differentiated dose gradient can be formed between the periphery of the target area and the organs at risk, maximizing the killing of tumors while better protecting normal tissues. There is inevitably a certain degree of uncertainty in radiotherapy, especially the uncertainty changes of the patient himself (mainly the anatomical changes in the irradiated area). At present, image-guided radiation therapy (IGRT) technology is mainly used in clinical practice to monitor and evaluate the corresponding changes of patients.

[0003] The development of radiotherapy is increasingly inclined to reduce the number of fractions and increase the dose per fraction; however, the IGRT mode that predicts dose changes based on displacement variables and angle variables cannot meet the requirements of further clinical precision treatment; coupled with the gradual market launch of KV-class CT accelerators equipped with fan-beams and the clinical expansion of in vivo dose verification technology based on EPID boards, the clinical demand for dose-guided radiation therapy (DGRT) mode is becoming more and more urgent.

[0004] At present, the difference information after image registration that can be used by IGRT technology is mainly based on the distance between the tumor target volume GTV or clinical target volume CTV and the planned target volume PTV during the planning design (the organs at risk can also be placed outside a certain distance to form a PRV), and compared with the displacement variables of the planning image and the treatment image after three-dimensional registration based on fixed reference objects or the displacement variables and angle variables after six-dimensional registration. The research hotspots and clinical applications of DGRT have certain limitations, specifically: to complete the adaptive radiation therapy (Adaptive Radiation Therapy, ART) based on the DGRT mode in an online state, it is necessary to complete the whole process of target area reconfirmation-plan redesign-plan reevaluation-plan revalidation. Therefore, the constraints such as equipment configuration, response time, personnel division of labor, and operation efficiency in the entire application process have certain clinical difficulties in promoting it widely at this stage.

[0005] In summary, the existing use of DGRT technology to warn of radiation therapy doses involves completing the entire process from target area reconfirmation - plan redesign - plan reevaluation - plan reverification, without taking into account the inherent characteristic relationship between density change and dose characteristics, resulting in the entire warning process taking a long time and low warning efficiency. Summary of the invention

[0006] In order to overcome the shortcomings of the prior art, one of the purposes of the present invention is to provide a radiation therapy dose warning method, which can solve the problem that the existing operation process of using DGRT technology to warn the dose of radiation therapy is to complete the whole process from target area reconfirmation-plan redesign-plan reevaluation-plan reverification, and does not take into account the inherent characteristic relationship between density change and dose characteristics, thereby causing the entire warning process to take a long time and the warning efficiency is low.

[0007] The second object of the present invention is to provide an electronic device that can solve the problem that the existing operation process of using DGRT technology to warn the dose of radiotherapy is to complete the whole process of target area reconfirmation-plan redesign-plan reevaluation-plan reverification, and does not take into account the inherent characteristic relationship between density change and dose characteristics, thereby causing the entire warning process to take a long time and the warning efficiency is low.

[0008] The third object of the present invention is to provide a computer-readable storage medium, which can solve the problem that the existing operation process of using DGRT technology to warn the dose of radiotherapy is to complete the whole process of target area reconfirmation-plan redesign-plan reevaluation-plan reverification, and does not take into account the inherent characteristic relationship between density change and dose characteristics, thereby causing the entire warning process to take a long time and the warning efficiency is low.

[0009] A fourth object of the present invention is to provide a computer program product that can solve the problem that the existing operation process of using DGRT technology to warn the dose of radiotherapy is to complete the whole process of target area reconfirmation-plan redesign-plan reevaluation-plan reverification, without taking into account the inherent characteristic relationship between density change and dose characteristics, resulting in the entire warning process taking a long time and low warning efficiency.

[0010] One of the purposes of the present invention is achieved by the following technical solution:

[0011] A radiation therapy dose early warning method comprises the following steps:

[0012] Receive target data, receive target radiotherapy plan data corresponding to the target patient and target CBCT data of the target patient during each radiotherapy;

[0013] Calculating a target density variable, and calculating a target density variable of the CBCT data of the target patient during each radiotherapy according to the target reflection treatment plan data and the target CBCT data;

[0014] Generate a target radiation source dose characteristic, output each of the target density variables to a preset dose characteristic solution model, and obtain a corresponding target radiation source dose characteristic;

[0015] Early warning judgment, judging whether the dose characteristics of the target radiation source are within the clinical dose characteristic standard range, if so, no early warning is required, if not, a warning message is issued.

[0016] Furthermore, before receiving the target data, the method further includes creating a dose characteristic solution model, which specifically includes the following steps:

[0017] Collect data, including radiotherapy planning data of different patients, CBCT data of different patients during each radiotherapy, and dose verification data;

[0018] Calculating density variables, and calculating density variables of CBCT data of each patient during each radiotherapy according to the radiotherapy plan data and the CBCT data;

[0019] Calculating radiation source dose characteristics, recalculating radiation source dose characteristics corresponding to different patients during each radiotherapy according to the radiotherapy plan data and the dose verification data, and counting all radiation source dose characteristics corresponding to all patients to obtain radiation source dose characteristic data, wherein each radiation source dose characteristic corresponds to a unique density variable;

[0020] A dose characteristic solution model is constructed, and a dose characteristic solution model is fitted according to each radiation source dose characteristic in the radiation source dose characteristic data and the corresponding density variable according to the relationship between the density variable and the radiation source dose characteristic.

[0021] Furthermore, the radiotherapy planning data includes planned CT image data, planned treatment plan data and planned dose data, and the calculation of density variables is specifically: performing image registration processing on the CBCT data corresponding to each patient during each radiotherapy with the planned CT image data to obtain geometric variables of the CBCT data of each patient during each radiotherapy, using the geometric variables to calibrate the corresponding CBCT data to obtain calibrated CBCT data, and calculating the density variables of the CBCT data of each patient during each radiotherapy based on the calibrated CBCT data and the planned CT image data.

[0022] Furthermore, the dose verification data is EPID flux data of each patient during each radiotherapy, and the calculation of radiation source dose characteristics is specifically: calculating corresponding radiation source dose characteristics according to the EPID flux data of different patients during each radiotherapy and the corresponding planned CT image data.

[0023] Furthermore, the dose verification data is the re-positioning CT image data corresponding to each patient during each radiotherapy, and the corresponding radiation source dose characteristics are calculated based on the re-positioning CT image data and the planned treatment plan data.

[0024] Furthermore, the geometric variables include displacement data, roll angle data, pitch angle data and yaw angle data.

[0025] Furthermore, the target radiotherapy planning data includes target planning CT image data, target planning treatment plan data and target planning dose data, and the calculation of the target density variable is specifically: performing image registration processing on the target CBCT data corresponding to each radiotherapy of the target patient and the target planning CT image data to obtain the target geometric variables of the target CBCT data of each patient during each radiotherapy, using the target geometric variables to calibrate the corresponding target CBCT data to obtain calibrated target CBCT data, and calculating the target density variables of the CBCT data of each patient during each radiotherapy based on the calibrated target CBCT data and the target planning CT image data.

[0026] The second object of the present invention is achieved by adopting the following technical solution:

[0027] An electronic device, comprising: a processor;

[0028] A memory; and a program, wherein the program is stored in the memory and is configured to be executed by a processor, and the program includes instructions for executing a radiation therapy dose warning method described in the present application.

[0029] The third object of the present invention is achieved by adopting the following technical solutions:

[0030] A computer-readable storage medium stores a computer program, wherein the computer program is executed by a processor to implement a radiation therapy dose warning method described in the present application.

[0031] The fourth object of the present invention is achieved by the following technical solutions:

[0032] A computer program product includes a computer program, which, when executed by a processor, implements a radiation therapy dose warning method described in the present application.

[0033] Compared with the prior art, the beneficial effects of the present invention are as follows: a radiotherapy dose warning method in the present invention comprises receiving target radiotherapy plan data corresponding to a target patient and target CBCT data of the target patient during each radiotherapy; calculating target density variables of CBCT data of the target patient during each radiotherapy according to the target reflection therapy plan data and the target CBCT data; outputting each target density variable to a preset dose characteristic solution model to obtain a corresponding target radiation source dose characteristic; judging whether the target radiation source dose characteristic is within a clinical dose characteristic standard range, and if not, issuing a warning message, and only requiring the target density variable to be released and outputting the target density variable to a preset dose characteristic solution model to obtain the target radiation source dose characteristic to be judged, without the need to perform complex calculations on the target radiation source dose characteristic, thereby simplifying the preliminary calculation process of radiotherapy dose warning and improving the efficiency of warning.

[0034] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. The specific implementation of the present invention is given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0036] Figure 1 The figure is a flow chart of a radiation therapy dose early warning method of the present invention. DETAILED DESCRIPTION

[0037] The present invention is further described below in conjunction with the accompanying drawings and specific implementation methods. It should be noted that, under the premise of no conflict, the various embodiments or technical features described below can be arbitrarily combined to form a new embodiment.

[0038] like Figure 1 As shown, a radiation therapy dose early warning method in the present application comprises the following steps:

[0039] Create a dose characteristic solution model, which includes the following steps:

[0040] Collect data, collect radiotherapy planning data of different patients, CBCT data of different patients during each radiotherapy, and dose verification data. In this embodiment, the radiotherapy planning data includes planned CT image data, planned treatment plan data, and planned dose data. The dose verification data is the EPID flux data (Electronic Portal Imaging Device, which is the data corresponding to the EPID system. The EPID system consists of two parts: ray detection and computer processing of ray signals. The difference between different systems is mainly reflected in the former part, and the latter part is the same or similar for all systems.) of the patient during each radiotherapy or the re-positioning CT image data corresponding to the patient during each radiotherapy. In this embodiment, CBCT is the abbreviation of Cone beam CT, that is, cone beam CT. As the name suggests, it is a cone beam projection computer reconstruction tomography device. Its principle is that the X-ray generator performs annular DR (digital projection) around the projection object with a lower radiation dose (usually the tube current is about 10 mA). The data obtained from the "intersection" after multiple digital projections around the projection object (180 to 360 times, depending on the product) are then "reconstructed" in the computer to obtain a three-dimensional image. The projection principle of CBCT to obtain data is completely different from that of traditional sector scanning CT, but the algorithm principle of the subsequent computer reconstruction is similar.

[0041] Calculate density variables, and calculate the density variables of CBCT data of each patient during each radiotherapy treatment based on radiotherapy plan data and CBCT data. Specifically include:

[0042] Calculate geometric variables: Perform image registration processing on the CBCT data corresponding to each patient during each radiotherapy and the planned CT image data to obtain the geometric variables of the CBCT data of each patient during each radiotherapy. In this embodiment, let the geometric variables be g M, the density variable is d M, the planned CT image data is p CT, planned treatment data is pRtplan, planned dose data p Rtdose, the EPID flux data of a patient during the nth radiotherapy is recorded as tn EPID, the nth relocalization image of a patient is tn CT, then tng M=Register( p CT, tn CBCT), tng M is the geometric variable of the CBCT data during the nth radiotherapy of the patient, and Register represents image registration. In this embodiment, the geometric variables include up-down, left-right, and front-back displacement data X, Y, and Z; and roll, pitch, and yaw angle data Roll, Pitch, and Rtn.

[0043] In this embodiment, the following image registration algorithms are used to perform image registration processing on the CBCT data and the planned CT image data: (1) Image grayscale-based registration algorithm. First, the target area is extracted from the reference image as a registration template, and then the template is slid in the image to be registered, and the best matching point is found through similarity measurement (such as correlation coefficient method, square sum of differences method, absolute value of differences method, covariance method). (2) Image feature-based registration algorithm. This algorithm uses certain significant features (points, lines, regions) in the image as registration primitives, and the algorithm process is divided into two steps: feature extraction and feature matching. First, points, lines, regions and other features with obvious grayscale changes are extracted from the two images to form a feature set. Then, the feature matching algorithm is used to select the feature pairs with corresponding relationships as much as possible from the feature sets corresponding to the two images. For non-feature pixels, interpolation and other methods are used to process and infer the corresponding matching relationship, thereby realizing pixel-by-pixel registration between the two images. (3) Registration algorithm based on understanding and interpretation of images. This registration algorithm can not only automatically identify the corresponding image points, but also automatically identify the properties and relationships of various targets by the computer, with extremely high reliability and accuracy. This image registration based on understanding and interpretation involves many fields such as computer vision, pattern recognition, artificial intelligence, etc. It not only depends on theoretical breakthroughs in these fields, but also requires the development of high-speed parallel processing computers.

[0044] Calculate density variables: Use the geometric variables to calibrate the corresponding CBCT data to obtain calibrated CBCT data, and calculate the density variables of the CBCT data of each patient during each radiotherapy according to the calibrated CBCT data and the planned CT image data. In this embodiment, the density variable ( d M) including V αHU , γ β\α , γ β\α , D％ , the specific meaning is: ①V αHUIndicates that the HU difference between pixels at the same position in the ROI is greater than the threshold αHU pixel volume (mm 3 ), such as V 200HU , which means that within the region of interest, the pixel volume (mm) of all pixels at the same position with an inter-pixel HU value greater than 200 is counted 3 ). ②γ β\α The gamma pass rate γ represents the gamma pass rate of pixels whose HU difference between adjacent β mm positions in the region of interest is greater than the threshold αHU β\α , such as a phase difference of 40HU within 1mm, which is expressed as γ 1\40 Here, a certain point on the CBCT data The density gamma value is defined as follows:

[0045]

[0046]

[0047] in, is the physical distance between the point on CBCT and the corresponding point on CT, is the density difference between the point on CBCT and the corresponding point on CT; correspondingly, the gamma pass rate is the ratio of the number of points on CBCT with a density gamma value less than or equal to 1 to the number of points participating in the calculation. β\α , D% is the gamma passing rate within the specific dose contour line D% defined on the basis of ②, such as the difference of 40HU within 1mm in the 90% dose curve is expressed as γ 1\40,90％ .

[0048] Calculate the radiation source dose characteristics, recalculate the radiation source dose characteristics corresponding to different patients during each radiotherapy according to the radiotherapy plan data and the dose verification data, and count all the radiation source dose characteristics corresponding to all patients to obtain the radiation source dose characteristic data, each radiation source dose characteristic corresponds to a unique density variable. In this embodiment, the above-mentioned dose characteristics are target area and OARs structure information generated according to a specific CT image, such as the location of the target area and the OARs structure information generated according to ... p The PTV volume delineated by CT is pCT V PTV ; The expansion of the clinical target volume CTV to the planned target volume PTV, if the uniform expansion is 5mm, that is, M X =5, M Y =5, M Z =5; ISO center coordinates (X、Y、Z) , such as zero point coordinates, i.e. ISO (0,0,0) ; Design treatment plans and generate dose distributions based on the corresponding CT images according to clinical requirements under isocenters, and record corresponding dose characteristic parameters, such as dose volume histogram (DVH) variables, D95％ etc.; the volume VD, cross-sectional area SD, and contour characteristic coefficient matching distance DTA of a specific dose curve, such as the 95% dose curve VD 95％ , SD 95％ and DTA 95％ .

[0049] Construct a dose characteristic solution model, and fit the dose characteristic solution model according to each radiation source dose characteristic in the radiation source dose characteristic data and the corresponding density variable according to the relationship between the density variable and the radiation source dose characteristic. In this embodiment, the calculated density variable and radiation source dose characteristic are substituted into the following company (3) for calculation:

[0050]

[0051] Among them, n is the number of times each patient undergoes radiotherapy, and p is the number of patients. The density variable red radiation source characteristics corresponding to the minimum result of the above equation will be screened out, and then the relationship function between the two at this time will be established, and this relationship function will be used as the dose characteristic solution model.

[0052] Receive target data, receive target radiotherapy plan data corresponding to the target patient and target CBCT data of the target patient during each radiotherapy. In this embodiment, the target radiotherapy plan data includes target plan CT image data, target plan treatment plan data and target plan dose data.

[0053] Calculate the target density variable, and calculate the target density variable of the CBCT data of the target patient during each radiotherapy according to the target reflection treatment plan data and the target CBCT data. This step specifically includes: performing image registration processing on the target CBCT data corresponding to each radiotherapy of the target patient and the target plan CT image data to obtain the target geometry variable of the target CBCT data of each patient during each radiotherapy, using the target geometry variable to calibrate the corresponding target CBCT data to obtain the calibrated target CBCT data, and calculating the target density variable of the CBCT data of each patient during each radiotherapy according to the calibrated target CBCT data and the target plan CT image data.

[0054] Generate the target radiation source dose characteristics, output each target density variable to the preset dose characteristic solution model, and obtain the corresponding target radiation source dose characteristics.

[0055] Early warning judgment: judge whether the target radiation source dose characteristics are within the clinical dose characteristic standard range. If yes, no early warning is required. If not, a warning message is issued. The above clinical dose characteristic standard range is the dose range of clinical doses corresponding to different types of tumors or tumors of different sizes.

[0056] A radiotherapy dose early warning method in the present invention comprises receiving target radiotherapy plan data corresponding to a target patient and target CBCT data of the target patient during each radiotherapy; calculating target density variables of CBCT data of the target patient during each radiotherapy according to the target radiotherapy plan data and the target CBCT data; outputting each target density variable to a preset dose characteristic solution model to obtain a corresponding target radiation source dose characteristic; judging whether the target radiation source dose characteristic is within a clinical dose characteristic standard range, and if not, issuing an early warning message, and only requiring the target density variable to be released and outputting the target density variable to a preset dose characteristic solution model to obtain the target radiation source dose characteristic to be judged, without the need to perform complex calculations on the target radiation source dose characteristic, thereby simplifying the early calculation process of the radiotherapy dose early warning and improving the efficiency of the early warning.

[0057] The above are only preferred embodiments of the present invention and are not intended to limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the drawings and above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. An electronic device, characterized in that include: processor; Memory; as well as A program, wherein the program is stored in the memory and configured to be executed by a processor, the program is used to execute a radiotherapy dose early warning method, the radiotherapy dose early warning method comprising the following steps: Receive target data, receive target radiotherapy plan data corresponding to the target patient and target CBCT data of the target patient during each radiotherapy; Calculating a target density variable, and calculating a target density variable of the CBCT data of the target patient during each radiotherapy according to the target radiotherapy plan data and the target CBCT data; Generate a target radiation source dose characteristic, output each of the target density variables to a preset dose characteristic solution model, and obtain a corresponding target radiation source dose characteristic; Early warning judgment, judging whether the dose characteristics of the target radiation source are within the clinical dose characteristic standard range, if so, no early warning is required, if not, a warning message is issued; wherein, Before receiving the target data, the method further includes creating a dose characteristic solution model, which specifically includes the following steps: Collect data, including radiotherapy planning data of different patients, CBCT data of different patients during each radiotherapy, and dose verification data; Calculating density variables, and calculating density variables of CBCT data of each patient during each radiotherapy according to the radiotherapy plan data and the CBCT data; Calculating radiation source dose characteristics, recalculating radiation source dose characteristics corresponding to different patients during each radiotherapy according to the radiotherapy plan data and the dose verification data, and counting all radiation source dose characteristics corresponding to all patients to obtain radiation source dose characteristic data, wherein each radiation source dose characteristic corresponds to a unique density variable; A dose characteristic solution model is constructed, and a dose characteristic solution model is fitted according to each radiation source dose characteristic in the radiation source dose characteristic data and the corresponding density variable according to the relationship between the density variable and the radiation source dose characteristic.

2. The electronic device according to claim 1, characterized in that: The radiotherapy planning data includes planned CT image data, planned treatment plan data and planned dose data. The calculation of density variables is specifically as follows: image registration processing is performed on the CBCT data corresponding to each radiotherapy of each patient with the planned CT image data to obtain geometric variables of the CBCT data of each patient at each radiotherapy, the geometric variables are used to calibrate the corresponding CBCT data to obtain calibrated CBCT data, and the density variables of the CBCT data of each patient at each radiotherapy are calculated based on the calibrated CBCT data and the planned CT image data.

3. The electronic device according to claim 2, characterized in that: The dose verification data is the EPID flux data of each patient during each radiotherapy, and the calculation of the radiation source dose characteristics is specifically: calculating the corresponding radiation source dose characteristics according to the EPID flux data of different patients during each radiotherapy and the corresponding planned CT image data.

4. The electronic device according to claim 2, characterized in that: The dose verification data is the repositioning CT image data corresponding to each patient during each radiotherapy, and the corresponding radiation source dose characteristics are calculated based on the repositioning CT image data and the planned treatment plan data.

5. The electronic device according to claim 2, characterized in that: The geometric variables include displacement data, roll angle data, pitch angle data, and yaw angle data.

6. The electronic device according to claim 1, wherein: The target radiotherapy plan data includes target plan CT image data, target plan treatment plan data and target plan dose data. The calculation of the target density variable is specifically as follows: the target CBCT data corresponding to each radiotherapy of the target patient is image registered with the target plan CT image data to obtain the target geometric variables of the target CBCT data of each patient during each radiotherapy; the target geometric variables are used to calibrate the corresponding target CBCT data to obtain calibrated target CBCT data; and the target density variables of the CBCT data of each patient during each radiotherapy are calculated based on the calibrated target CBCT data and the target plan CT image data.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, a radiotherapy dose early warning method is implemented, and the radiotherapy dose early warning method comprises the following steps: Receive target data, receive target radiotherapy plan data corresponding to the target patient and target CBCT data of the target patient during each radiotherapy; Calculating a target density variable, and calculating a target density variable of the CBCT data of the target patient during each radiotherapy according to the target radiotherapy plan data and the target CBCT data; Generate a target radiation source dose characteristic, output each of the target density variables to a preset dose characteristic solution model, and obtain a corresponding target radiation source dose characteristic; Early warning judgment, judging whether the dose characteristics of the target radiation source are within the clinical dose characteristic standard range, if so, no early warning is required, if not, a warning message is issued; wherein, Before receiving the target data, the method further includes creating a dose characteristic solution model, which specifically includes the following steps: Collect data, including radiotherapy planning data of different patients, CBCT data of different patients during each radiotherapy, and dose verification data; Calculating density variables, and calculating density variables of CBCT data of each patient during each radiotherapy according to the radiotherapy plan data and the CBCT data; Calculating radiation source dose characteristics, recalculating radiation source dose characteristics corresponding to different patients during each radiotherapy according to the radiotherapy plan data and the dose verification data, and counting all radiation source dose characteristics corresponding to all patients to obtain radiation source dose characteristic data, wherein each radiation source dose characteristic corresponds to a unique density variable; A dose characteristic solution model is constructed, and a dose characteristic solution model is fitted according to each radiation source dose characteristic in the radiation source dose characteristic data and the corresponding density variable according to the relationship between the density variable and the radiation source dose characteristic.

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, a radiotherapy dose early warning method is implemented, and the radiotherapy dose early warning method comprises the following steps: Receive target data, receive target radiotherapy plan data corresponding to the target patient and target CBCT data of the target patient during each radiotherapy; Calculating a target density variable, and calculating a target density variable of the CBCT data of the target patient during each radiotherapy according to the target radiotherapy plan data and the target CBCT data; Generate a target radiation source dose characteristic, output each of the target density variables to a preset dose characteristic solution model, and obtain a corresponding target radiation source dose characteristic; Early warning judgment, judging whether the dose characteristics of the target radiation source are within the clinical dose characteristic standard range, if so, no early warning is required, if not, a warning message is issued; wherein, Before receiving the target data, the method further includes creating a dose characteristic solution model, which specifically includes the following steps: Collect data, including radiotherapy planning data of different patients, CBCT data of different patients during each radiotherapy, and dose verification data; Calculating density variables, and calculating density variables of CBCT data of each patient during each radiotherapy according to the radiotherapy plan data and the CBCT data; Calculating radiation source dose characteristics, recalculating radiation source dose characteristics corresponding to different patients during each radiotherapy according to the radiotherapy plan data and the dose verification data, and counting all radiation source dose characteristics corresponding to all patients to obtain radiation source dose characteristic data, wherein each radiation source dose characteristic corresponds to a unique density variable; A dose characteristic solution model is constructed, and a dose characteristic solution model is fitted according to each radiation source dose characteristic in the radiation source dose characteristic data and the corresponding density variable according to the relationship between the density variable and the radiation source dose characteristic.

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