A radiomics prediction method for the expression level of ki-67 in glioma

A brain glioma and radiomics technology, applied in informatics, image enhancement, image analysis and other directions, can solve problems such as large accuracy deviation, achieve accurate results and prediction models, great promotion and application value, and accurate predictions Effect
CN108376565BActive Publication Date: 2022-07-19北京北卓医疗科技发展有限责任公司
3 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
北京北卓医疗科技发展有限责任公司
Publication Date
2022-07-19

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a radiomics prediction method for the expression level of glioma Ki-67. The key molecular marker Ki-67 corresponding to patients with low-grade glioma samples is collected in the glioma database. Expression status; extract the radiomics characterization of each lower-grade glioma sample; screen out the differential radiomics characteristics of patients with different Ki-67 expression status, and establish a linear regression model; according to the established linear regression model, statistical Calculate and screen out the radiomics features related to the expression level of Ki-67 in gliomas to form a prediction model; screen out the radiomics features of patients, and predict the molecular marker Ki-67 of glioma in patients according to the prediction model The expression level. Based on the existing glioma imaging and genomics database, the present invention adopts the method of linear regression model, and obtains the imaging omics characterization that can reflect the genetic characteristics of the tumor through rapid and accurate analysis of the established prediction model, and more accurately predicts Ki‑67 expression levels in glioma patients.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the field of gliomas, and particularly relates to a radiomics prediction method for the expression level of Ki-67 in gliomas. Background technique

[0002] Gliomas are the most common brain malignancies, and about 30% of them are low-grade gliomas. Although low-grade gliomas have a relatively good prognosis, almost all low-grade gliomas develop with High-grade glioma with high mortality. Among them, the expression level of Ki-67 in glioma can be used to assist in judging the grade of glioma, and can more accurately reflect the reproduction level of glioma tumor cells, which has an important reference value for judging the prognosis of glioma.

[0003] The genetic background of lower-grade gliomas determines biological behaviors such as tumor growth and invasion, which can be visualized on magnetic resonance imaging. Due to the marked heterogeneity of the genetic background of lower-grade gliomas, the MR appearances of the tum...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More