Nasopharynx cancer precise radiotherapy platform based on data mining technology

Abstract

The invention discloses a nasopharyngeal carcinoma precise radiotherapy platform based on a data mining technology. The precise radiotherapy platform comprises establishment of an automatic sketching model of a nasopharyngeal carcinoma target region of a patient, pre-evaluation of dose and volume parameters of a radiotherapy plan and construction of a radiotherapy plan database. The platform has the advantages that 1, a doctor can be helped to delineate a nasopharynx cancer tumor target region and endangered organs more quickly and accurately, and irreversible irradiation radiotherapy dose damage to normal tissues and organs is reduced; 2, workload of doctors is relieved, waiting time of patients is shortened, and healing success rate is increased; 3, the utilization rate and turnover rate of hospital beds are improved, the medical cost of tumor patients is greatly reduced, and the economic pressure of the patients is relieved; and 4, young physicians are helped to learn delineation skills of target regions and endangered organs, and young physicians can be guided to set radiotherapy intensity modulation plan parameters.

Description

technical field [0001] The invention relates to the technical field of medical platforms, in particular to a precise radiotherapy platform for nasopharyngeal carcinoma based on data mining technology. Background technique [0002] With the rapid development of the information age, cloud platform construction and hospital process systems will continue to improve according to individual needs, especially the application of artificial intelligence in precise clinical treatment. However, the existing precision radiotherapy platform for nasopharyngeal carcinoma has simple functions, low delineation accuracy, and high platform use cost. In most cases, it is manually delineated by doctors based on experience. The scheme proposes a precise radiotherapy platform based on machine learning, multimodal magnetic resonance imaging and treatment plan data mining, which can realize accurate and automatic delineation of radiotherapy targets for nasopharyngeal carcinoma and pre-evaluation of ...

AI Technical Summary

Problems solved by technology

However, the existing precision radiotherapy platform for nasopharyngeal carcinoma has simple functions, low delineation accuracy, and high platform use cost. In most cases, it is manually delineated by doctors based on experience. The scheme proposes a precise radiotherapy platform based on machine learning, multimodal magnetic resonance imaging and treatment plan data mining, which can realize accurate and automatic delineation of radiotherapy targets for nasopharyngeal carcinoma and pre-evaluation of patient dose and volume parameters, and provide fast, precise and accurate radiotherapy for the clinic. , Accurate radiotherapy decision-making, thereby improving work efficiency and improving the cure rate of patients