Nasopharyngeal carcinoma structured image report and data processing system and nasopharyngeal carcinoma structured image report and data processing method

Abstract

The invention discloses a nasopharyngeal carcinoma structured image report and data processing system and a nasopharyngeal carcinoma structured image report and data processing method. The system comprises a clinical data collection module, a fine image analysis and report module, a comprehensive processing module and a clinical decision module, is mainly used for inputting and analyzing nasopharyngeal carcinoma imaging diagnosis report data and comprehensively and systematically recording the nasopharyngeal carcinoma invasion surrounding anatomical structure and lymph node metastasis conditions in a structural data form, and establishes a nasopharyngeal carcinoma structural image report standard for constructing a nasopharyngeal carcinoma image big database and a nasopharyngeal carcinomaartificial intelligence prediction model. According to the system, an MR fine film reading database is established to standardize a nasopharyngeal carcinoma image report, and a set of a nasopharyngealcarcinoma online clinical decision platform is developed on the basis to further assist nasopharyngeal carcinoma staging and typing, treatment scheme recommendation and prognosis prediction, so thatclinicians are helped to well formulate a treatment scheme according to an MRI image evaluation result.

Description

technical field [0001] The invention relates to the technical field of tumor clinical data processing, in particular to a structured imaging report and data processing system and method for nasopharyngeal carcinoma. Background technique [0002] Nasopharyngeal carcinoma is a local characteristic cancer in Guangdong Province. Recurrence and metastasis are the main causes of death. Accurate prediction of recurrence and metastasis and guidance of individualized treatment are the keys to improving curative effect. How to make accurate decisions based on intelligent data analysis is currently the Problems to be solved. [0003] At present, the eighth edition of the AJCC TNM staging system is mainly used clinically to formulate treatment plans and evaluate prognosis of nasopharyngeal carcinoma. Pharyngeal cancer risk stratification, it only has 17 specific anatomical sites to describe the degree of invasion of the primary tumor and 4 parameters to describe the degree of invasion ...

AI Technical Summary

Problems solved by technology

[0008] On the one hand, the above-mentioned system does not describe the tumor invasion accurately and comprehensively, and lacks detailed imaging reports. The existing TNM staging system for nasopharyngeal carcinoma contains few variables, and does not include pathological types, laboratory indicators, and molecular markers. It cannot fully reflect the biological characteristics of the tumor; in the existing technology, only 17 specific anatomical sites are used to describe the invasion degree of the primary tumor and 4 parameters are used to describe the invasion degree of the regional lymph nodes, which cannot accurately reflect the tumor invasion situation; On the one hand, the above-mentioned imaging report and data system is mainly used for the diagnosis of benign and malignant tumors, and lacks comprehensive mining of clinical data; while this system is used to process relevant data of patients who have been clearly diagnosed with nasopharyngeal carcinoma. Collect data, predict prognosis, and assist clinicians in making treatment decisions

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