Method for predicting complications of normal tissue organs after tumor radiotherapy

Abstract

The invention relates to a technology for predicting clinical complications after radiotherapy of tumor patients, in particular to a method for predicting complications of normal tissue organs after tumor radiotherapy based on the multimodal image omics characteristics and the radiotherapy dosimetry characteristics. The method mainly comprises the steps: S1, a multimodal image database is established; S2, image data of endangered organs near a tumor target area are extracted; S3, the image omics characteristics of the endangered organs are extracted, and the characteristics of normal organ image data are extracted; S4, parameters of the image phenotypic characteristics of the endangered organs are extracted according to image segmentation results; S5, the image omics characteristics are analyzed; S6, parameters of the exposure doses of the endangered organs are extracted; and S7, the characteristics are collected and extracted. The complications after radiotherapy and chemotherapy of the tumor patients are predicted through the image omics data, effective treatment and intervention can be provided for the patients in time through the reliable, safe and high-precision prediction method, the complications are reduced, and thus the treatment effect on the patients and the later life quality of the patients are improved.

Description

technical field [0001] The invention relates to a technique for predicting clinical complications after radiotherapy for tumor patients, in particular to a method for predicting complications of normal tissues and organs after radiotherapy for tumors based on multimodal radiomics features and radiotherapy dosimetry features. Background technique [0002] Malignant tumors are major diseases that seriously threaten human health. Radiotherapy and chemotherapy are two commonly used methods in the treatment of many cancer patients. Considering the possibility of postoperative complications in cancer patients, the target area should be increased as much as possible during radiotherapy and chemotherapy. (Tumor) dose while reducing radiation damage to normal tissues (organs at risk) around the target area is the ultimate goal of radiation therapy. [0003] Since the location of the tumor is usually located in the patient's body, the radiation must pass through some normal tissues wh...

AI Technical Summary

Problems solved by technology

Studies have shown that the application of radiomics data can predict the complications of tumor patients after radiotherapy and chemotherapy, so as to provide timely and effective treatment and intervention for patients, and reduce the occurrence of complications. Insufficient sex leads to low accuracy and is still not widely applicable. Therefore, an efficient and orderly prediction method for patients is needed to improve the prediction accuracy, which is of great significance for improving the treatment effect of patients and the quality of life in the later period.

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