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Method and device for evaluating cerebral apoplexy onset risk based on carotid atherosclerosis

A technology for atherosclerosis and stroke, applied in the field of medical detection, can solve problems such as lack of risk of stroke

Pending Publication Date: 2021-01-12
THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] However, the existing methods for assessing the risk of stroke lack a method that includes the level of Lp-PLA2 as the assessment condition

Method used

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  • Method and device for evaluating cerebral apoplexy onset risk based on carotid atherosclerosis
  • Method and device for evaluating cerebral apoplexy onset risk based on carotid atherosclerosis
  • Method and device for evaluating cerebral apoplexy onset risk based on carotid atherosclerosis

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Embodiment Construction

[0062] In order to make the purpose, features and advantages of the present application more obvious and understandable, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Apparently, the described embodiments are some of the embodiments of the present application, but not all of them. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

[0063] refer to figure 1 , which shows a method for assessing the risk of stroke based on carotid atherosclerosis provided by an embodiment of the present application. block stability, the method includes:

[0064] S110, using the self-learning ability of artificial intelligence to establish the corresponding relationship between the parameters of carotid atherosclerotic plaque and the risk level of str...

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Abstract

The invention provides a method and device for evaluating cerebral apoplexy onset risk based on carotid atherosclerosis, and the method comprises the steps: building the corresponding relation betweenthe condition parameters of carotid atherosclerosis plaques and the cerebral apoplexy onset risk level through the self-learning capability of artificial intelligence; acquiring condition parametersof the current carotid atherosclerotic plaque of a current subject; determining a current cerebral apoplexy onset risk level corresponding to the condition parameter of the current carotid atherosclerotic plaque through the corresponding relationship, wherein specifically, the determining of the current cerebral apoplexy onset risk level corresponding to the condition parameter of the current carotid atherosclerotic plaque comprises the following steps: determining a cerebral apoplexy onset risk level corresponding to a condition parameter of a carotid atherosclerotic plaque, which is the sameas the condition parameter of the current carotid atherosclerotic plaque, in a corresponding relationship as the current cerebral apoplexy onset risk level. Quantitative estimation of cerebral apoplexy onset risk can be well realized through condition parameters of carotid atherosclerotic plaques.

Description

technical field [0001] The present application relates to the field of medical detection, in particular to a method and device for evaluating the risk of stroke based on carotid atherosclerosis. Background technique [0002] CAS (Carotid atherosclerosis, atherosclerosis) is one of the main factors causing ischemic stroke. Therefore, early diagnosis and correct evaluation of carotid plaque stability, discovery and effective control of risk factors affecting carotid plaque stability are of great value in the prevention of ischemic stroke. Ultrasound is currently the main method for evaluating CAS, which can effectively detect carotid plaque and evaluate its stability. In this study, the carotid arteries were examined comprehensively and systematically in strict accordance with the operating specifications. [0003] The stability of the found carotid plaques was evaluated, mainly in terms of plaque morphology, presence or absence of surface ulcers, eccentricity index, and int...

Claims

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Application Information

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IPC IPC(8): G16H50/30G06N3/04G06K9/62G06T7/00
CPCG16H50/30G06T7/0012G06T2207/30101G06T2207/30016G06N3/045G06F18/214
Inventor 李振洲任力杰黄珊珊吴欣殷邵玉凤管林军周羿罗舒榆
Owner THE SECOND PEOPLES HOSPITAL OF SHENZHEN
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