Ignite Creation Date:
2024-05-06 @ 3:09 PM
Last Modification Date:
2024-10-26 @ 1:44 PM
Study NCT ID:
NCT04544657
Status:
UNKNOWN
Last Update Posted:
2021-06-14
First Post:
2020-06-26
Brief Title:
Artificial Intelligence Based Comprehensive Assessment System of Carotid Plaque Stability
Sponsor:
Second Affiliated Hospital School of Medicine Zhejiang University
Organization:
Second Affiliated Hospital School of Medicine Zhejiang University
Study Overview
Official Title:
Artificial Intelligence Based Comprehensive Assessment System of Carotid Plaque Stability
Status:
UNKNOWN
Status Verified Date:
2021-01
Last Known Status:
RECRUITING
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
Stroke is a common clinical disease with high disability and mortality which seriously threatens human life and healthCarotid atherosclerotic plaque rupture is an important pathogenic basis of ischemic stroke so judging the stability of plaque has important clinical significance in preventing ischemic strokeUltrasound as a convenient rapid noninvasive radiation-free auxiliary examination technology is widely used in carotid plaque stability examinationAt present there are many methods to judge the stability of carotid plaque based on ultrasound including two-dimensional ultrasound contrast-enhanced ultrasound ultrasound elastography and so on However the results of plaque stability judgment by various technologies deviate greatly which is not conducive to the development of standardized diagnosis and treatment strategies by cliniciansStudies have shown that because the neovascular epidermal cells in atherosclerotic plaques are imperfect they are easy to rupture after stress and the ruptured neovasculature will lead to intraplaque hemorrhage thus causing plaque shedding and eventually obstructing the cerebrovascular cause strokeContrast-enhanced ultrasound can sensitively detect the distribution and course of blood vesselsThe plaques softness and hardness determine its stability while the difference of lipids fibers and calcium in the plaque determines its softness and hardnessReal-time ultrasound elastography can provide tissue mechanical parameters express the soft and hard of tissue with strain value and provide important reference information for judging plaque stabilityAt present elastography technology is used to reflect the hardness of plaque so as to further judge its stabilityHowever the elastography parameters are prone to deviations due to the influence of the selected section and the selected region of interestDeep learning is the hottest research method in AI at present Deep learning is essentially to construct machine learning models with multiple hidden layers and use large-scale data to train to obtain a large number of more representative feature information so as to use these features to classify and predict samples At present it is widely used in the field of image analysis and plays an important role in medicineSuch as pathological image detection regulatory genomics research diagnosis of retinopathy and quantitative analysis of liver fibrosis etcComputational Fluid Dynamics CFD is a new discipline developed by the combination of numerical calculation and classical fluid mechanics theory It can make it convenient for researchers to build a geometric model of cardiovascular system simulate the real structure of vascular wall and blood and display the results of numerical experiments using visualization technologyMore intuitive Comprehensive response to changes in hemodynamic parameters In recent years its application in cardiovascular hemodynamic research has become increasingly widespread with a large number of relevant literature reports However no report has been reported on the study of carotid plaque stability and fluid dynamics using this technology Based on the above reasonsThis study attempts to use AI technology to automatically identify and quantitatively evaluate the gray scale differences of plaques elastic image characteristics of plaques microvessel density division of plaque contrast-enhanced ultrasound and velocity vector imaging VVI to determine plaque surface stressTo study the effect of hemodynamic parameters on carotid plaque using CFD technology and to establish a systematic comprehensive evaluation system for carotid plaque stability which integrates two-dimensional plaque information texture information microcirculation perfusion information biomechanical information and blood flow field information and combines the results of clinical follow-up and collagen fiber content of surgical specimens MMP9CD34 and other examinations
Detailed Description:
None
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None