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Method and device for constructing model for predicting intracranial aneurysm rupture

A technology for intracranial aneurysm and prediction model, which is used in blood flow measurement devices, medical simulation, 3D modeling, etc.

Pending Publication Date: 2021-12-03
THE FIRST AFFILIATED HOSPITAL OF WANNAN MEDICAL COLLEGE YIJISHAN HOSPITAL OF WANNAN MEDICAL COLLEGE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, there is no accurate method to obtain more accurate processing results through data processing. How to build a method and model to improve the accuracy of data processing is an urgent technical problem to be solved

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  • Method and device for constructing model for predicting intracranial aneurysm rupture
  • Method and device for constructing model for predicting intracranial aneurysm rupture
  • Method and device for constructing model for predicting intracranial aneurysm rupture

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Embodiment 1

[0055] The invention provides a method for constructing an intracranial aneurysm rupture prediction model, the method comprising the following steps:

[0056] S1. From the data of the intracranial aneurysm rupture group and the non-rupture group of patients to be predicted, select the three-dimensional image data model (for example: three-dimensional CTA, MRA or DSA image model;

[0057] S2. According to the three-dimensional image data model, obtain the three-dimensional data model of the Dicom format or STL format file, for example, the three-dimensional CTA, MRA or DSA image of the aneurysm image of the patient to be tested is obtained from the PCAS system or the DSA workstation in Dicom or STL The file format is exported, but if it is exported as Dicom data, Mimics 10.0 must be used to convert the dicom data into an STL file. For the obtained Dicom format or STL file format, Gemagic studio 2013 is used to smooth and trim the 3D data model of the STL format file. The proces...

Embodiment 2

[0068] The present invention provides a construction device for intracranial aneurysm rupture prediction model, the construction device comprises:

[0069] The screening module is used to select the three-dimensional image data model of the patient meeting the prediction condition from the two groups of data of the intracranial aneurysm rupture group and the non-rupture group of patients to be predicted;

[0070] The building block of aneurysm model and parent artery model is used to obtain the 3D data model of Dicom format or STL format file according to the 3D image data model. If it is a Dicom format file, it can be converted into an STL format file using Mimics 10.0, and then use Gemagic studio In 2013, the three-dimensional data model of the STL format file was processed to obtain the aneurysm model and the parent artery model. Gemagic studio 2013 was used to process the three-dimensional data model of the STL format file, including: delete the spike and set it to 40, and ...

Embodiment 3

[0077] This embodiment provides a prediction model for intracranial aneurysm rupture, which is constructed by using any of the methods for constructing intracranial aneurysm rupture prediction models described above.

[0078] This model is used in the prediction of intracranial aneurysm rupture risk in neurosurgery in the medical field, and analyzes the morphological and hemodynamic differences between the ruptured side and the unruptured side. It is concluded that although AR, NWSS, mean WSS, LSA is an independent risk factor for IA rupture status, but SR is the parameter most correlated with IA rupture, and it is concluded that SR>1.96 has a high risk of aneurysm rupture.

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Abstract

The invention discloses a method for constructing an intracranial aneurysm rupture prediction model, which comprises the following steps of: S1, screening out a three-dimensional image data model of a patient meeting prediction conditions from two groups of data of an intracranial aneurysm rupture group and an intracranial aneurysm unrupture group of a patient to be predicted; s2, according to the three-dimensional image data model, obtaining a Dicom-format or STL-format file three-dimensional data model, if the Dicom-format file is the Dicom-format file, converting the Dicom-format file into the STL-format file by adopting Mimics 10.0, and then processing the STL-format file three-dimensional data model by adopting Gemagic studio 2013 to obtain an aneurysm model and a tumor-carrying artery model. According to the method, a traffic mirror image intracranial aneurysm model after rupture is applied, differences of morphology and hemodynamics of a rupture side and an unrupture side are analyzed, and the conclusion that although AR, NWSS, average WSS and LSA are independent risk factors of an IAs rupture state, SR is a parameter most related to IAs rupture, and the risk of aneurysm rupture is high when SR is larger than 1.96 is obtained.

Description

technical field [0001] The invention relates to a method for constructing a prediction intracranial aneurysm rupture model and the device. Background technique [0002] Morphological and hemodynamic parameters are associated with rupture of intracranial aneurysms (IAs), and controlling these parameters can help us identify rupture risk characteristics, rupture mirrors posterior communicating artery aneurysms (PComAAs) in the same The patient had a ruptured PCA aneurysm and an unruptured PCA on both sides of the PCA, providing ideal internal control. First, since mirror-image ruptured PComAAs with one ruptured and the other unruptured were from the same patient, the effects of clinical parameters may be balanced separately. Second, mirror-image ruptured PComAAs were located in the posterior communicating arteries on both sides, thus, this could rule out the influence of location on ruptured IAs. Third, in order to improve the accuracy of computational fluid dynamics, indivi...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/50G06F30/23G06F30/28G06T17/20A61B8/06A61B8/00
CPCG16H50/30G16H50/50G06F30/23G06F30/28G06T17/20A61B8/06A61B8/488A61B8/5223
Inventor 袁金龙黄晨蕾李真保李小宁赵心同冯蕾吴德刚赖年升夏大勇张兵兵
Owner THE FIRST AFFILIATED HOSPITAL OF WANNAN MEDICAL COLLEGE YIJISHAN HOSPITAL OF WANNAN MEDICAL COLLEGE
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