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A method for establishing a model to predict the permeability of graft vessels in heart bypass surgery based on hemodynamic models

A technology of hemodynamics and heart bypass, applied in the field of model establishment and machine learning, can solve problems such as no one has proposed a prediction model, and achieve high-accuracy results

Active Publication Date: 2022-04-15
BEIJING UNIV OF TECH
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Problems solved by technology

However, no one has proposed building predictive models using hemodynamic-based features

Method used

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  • A method for establishing a model to predict the permeability of graft vessels in heart bypass surgery based on hemodynamic models
  • A method for establishing a model to predict the permeability of graft vessels in heart bypass surgery based on hemodynamic models
  • A method for establishing a model to predict the permeability of graft vessels in heart bypass surgery based on hemodynamic models

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Experimental program
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Embodiment 1

[0036] For each graft vessel, its waveform is intercepted from the real-time blood flow waveform picture and processed digitally, and a three-dimensional bypass surgery model suitable for the graft vessel is constructed according to the type of graft vessel and the size of the ultrasonic probe. The digitized flow waveform was added to the entrance of the bridge vessel, and the pressure of 0mmHg was added to the outlet of the coronary artery as boundary conditions, and the finite element software was used for calculation.

[0037] After calculation, extract the WSS, OSI, and RRT of the bridge vessels and anastomotic sites, and use them as features to build a prediction model using a support vector machine. The RBF kernel function is selected, and the (C, g) coefficients are optimized by means of grid search and cross-validation, and the optimal (C, g) is selected as the coefficient of the prediction model (see the steps of the content of the invention for details).

[0038] We ...

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Abstract

A method for establishing a model for predicting the permeability of a bridged blood vessel in a heart bypass operation based on a hemodynamic model belongs to the field of model establishment. The instantaneous blood flow waveform of the bridge vessel measured during the operation was digitally processed, and it was assigned as the boundary condition to the three-dimensional model of the bypass operation. The hemodynamic parameters of the bridge vessel and the anastomosis were obtained by the finite element method, and then these parameters were calculated. The parameters are used as features to build a support vector machine-based prediction model. This method can be used to help doctors and patients understand the effect of surgery, determine the strategy of further surgery or the plan of postoperative review.

Description

Technical field: [0001] The invention belongs to the technical field of model establishment, and essentially belongs to the field of machine learning. In particular, it relates to a method for establishing a model for predicting the permeability of a graft vessel in heart bypass surgery based on a hemodynamic model. Background technique: [0002] Coronary artery bypass grafting (CABG) is a commonly used surgical method for the treatment of coronary heart disease. The main problem at present is the risk of graft failure after surgery. According to statistics, the failure rate of vein grafts in the early postoperative period is 15-30%, and the failure rate will reach 50% after 10 years. The 10-year patency rate of arterial grafts was 95%, and 15 years was 88%. After the graft fails, the patient will suffer from myocardial ischemia again, which can be life-threatening in severe cases. Therefore, for each specific patient, how to predict the permeability of the graft vessel i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G16H50/00
CPCG16H50/00
Inventor 刘有军毛伯䶮王文馨李鲍
Owner BEIJING UNIV OF TECH
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