Lifetime predicting system for patient with glioblastoma multiforme

A glioblastoma and prediction system technology, applied in the field of survival prediction system for glioblastoma patients, to save time and energy

Active Publication Date: 2017-06-20
吴安华
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

[0004] Currently, glioblastoma clinical practice lacks a simple and relia

Method used

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  • Lifetime predicting system for patient with glioblastoma multiforme
  • Lifetime predicting system for patient with glioblastoma multiforme
  • Lifetime predicting system for patient with glioblastoma multiforme

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Embodiment Construction

[0029] Specific embodiments of the present disclosure will be described in detail below. It should be understood that the specific embodiments described here are only used to illustrate and explain the present disclosure, and are not intended to limit the present disclosure.

[0030] Such as figure 1 As shown, the survival period prediction system of brain glioblastoma patients of the present disclosure includes an input module, an analysis module and an output module, and the input module and the analysis module, the analysis module and the output module can be connected by wires (USB, hardened wires, etc.) and / or wireless connections (WIFI, Bluetooth, infrared, etc.). The input module further comprises five variable input submodules, and the five variable input submodules are Karnofsky function score (denoted as KPS score) input submodule, tumor resection degree input submodule, MGMT gene promoter A Methylation degree input submodule, IDH gene state input submodule and tem...

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Abstract

The invention discloses a lifetime predicting system for a patient with glioblastoma multiforme. The predicting system comprises an input module, an analyzing module and an output module; the analyzing module can establish a survival probability alignment chart based on variables input by a variable input module and calculate the total risk score, wherein the total risk score is a cumulative sum of Karnofsky performance score, tumour excision degree, MGMT gene promoter methylating state, IDH gene state and risk score of a temozolomide treatment policy; and the input module calculates a lifetime predicted value of the patient with glioblastoma multiforme according to the total risk score; the output module is used for outputting the lifetime predicted value of the patient with glioblastoma multiforme. The lifetime predicting system for the patient with glioblastoma multiforme, disclosed by the invention, integrates variables which are easily acquired clinically, and the five variables are input to quickly and accurately acquire a predicted result of the lifetime of the patient with glioblastoma multiforme, so that the time and vigor of a user are saved.

Description

technical field [0001] The present disclosure relates to computer application technology, in particular to a system for predicting the survival period of patients with glioblastoma. Background technique [0002] Glioma is the most common malignant tumor of the central nervous system, and the most malignant glioblastoma accounts for more than 30% of the overall incidence of glioma. Glioblastoma is characterized by high morbidity, mortality, high recurrence rate and low cure rate. The current treatment options for glioblastoma include surgical resection and postoperative radiotherapy and chemotherapy. In the past, domestic and foreign literature reported that the median survival time of glioblastoma patients was 12-15 months. However, in clinical practice, there are large differences in the survival time of patients. 15% of patients can survive for more than 3 years, and 9% of patients can survive for more than 5 years. Such a large span of survival time greatly increases the...

Claims

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Application Information

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IPC IPC(8): G06F19/00
CPCG16H50/30G16H50/50
Inventor 程文张传宝吴安华
Owner 吴安华
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