Method and system for predicting recurrent risk after intracranial aneurysm embolization

Abstract

The invention discloses a method and a system for predicting a recurrent risk after intracranial aneurysm embolization. The method comprises the following steps of analyzing relations between haemodynamics parameter values and clinical features after the intracranial aneurysm embolization of the existing clinical case and a prognosis direction after the intracranial aneurysm embolization respectively; determining haemodynamics parameter values and clinical features corresponding to the prognosis direction after the intracranial aneurysm embolization and establishing a prognosis direction evaluation model after the intracranial aneurysm embolization; accurately and uniformly predicting the subsequent prognosis direction after the intracranial aneurysm embolization of the clinical case according to the established evaluation model, so that the prognosis direction after the intracranial aneurysm embolization is quantitatively predicted.

Description

technical field [0001] The invention relates to the technical field of clinical medicine, in particular to a method and system for predicting recurrence risk after intracranial aneurysm embolization. Background technique [0002] In clinical medicine, intracranial aneurysm is a common cerebrovascular disease that seriously threatens human health, and interventional embolization technology has gradually become an important treatment method for intracranial aneurysm. After interventional embolization of intracranial aneurysms, the follow-up outcomes include: healing of intracranial aneurysms, stabilization of intracranial aneurysms, and recurrence of intracranial aneurysms. In order to accurately determine the direction of outcome after intracranial aneurysm embolization, prediction is needed to assess the risk of recurrence after intracranial aneurysm embolization, so as to provide technical data support for subsequent treatment of intracranial aneurysms. [0003] At present...

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Problems solved by technology

[0006] There are disadvantages in using the above two methods to predict the outcome of intracranial aneurysm embolization: the first method involves many characteristics, there is no individualized and quantitative standard, and the characteristics of the impact on recurrence after intracranial aneurysm embolization are not good. Clearly, medical personnel cannot judge accurately and need to use experience to judge

Or it is necessary to adopt a normalized method for all clinical cases, and perform invasive 3D imaging of intracranial aneurysms according to the second method. Generally, clinical cases often have to undergo more than two 3D imaging of intracranial aneurysms. There is no unified standard for the imaging process, whether it is excessive or insufficient for clinical cases, and the second method is used to predict the recurrence risk of intracranial aneurysm embolization in clinical cases, which will bring additional economic burden and medical risk

[0007] In conclusion, when predicting the risk of recurrence after intracranial aneurysm embolization, the mechanism of the direction of outcome after intracranial aneurysm embolization is insufficiently understood, and there is no quantitative indication of which features can reduce the risk of recurrence after intracranial aneurysm embolization. Increase the stability of intracranial aneurysm embolization, leading to a certain degree of blindness in follow-up examination and treatment after intracranial aneurysm embolization

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