Yingjie Xia, Changpeng Wang, Yan Wang, Fuyou Liang
{"title":"基于计算模型的颈动脉狭窄跨狭窄压比及其对脑缺血的预测价值研究","authors":"Yingjie Xia, Changpeng Wang, Yan Wang, Fuyou Liang","doi":"10.1002/cnm.70044","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>Trans-stenotic pressure ratio (herein denoted by dpPR) has been proposed as a complementary index to stenosis rate (SR) for assessing the functional severity of carotid artery stenosis (CAS); however, it remains unclear how well dpPR can indicate cerebral ischemia. In this study, a physiology-based computational model of the cerebral circulation was developed to yield a tool for generating large-scale in silico data to characterize the changes of the dpPR of the left internal CAS in response to variations in SR and various anatomical/pathophysiological factors that represent inter-patient differences. In addition, a cerebral ischemia index (CII) was defined to evaluate the predictive value of dpPR for cerebral ischemia. Results showed that dpPR was affected by many factors unrelated to the severity of stenosis, such as the anatomical structure and geometrical size of cerebral arteries, mean systemic arterial blood pressure (MAP), flow autoregulation function of cerebral microcirculation (quantified by CFAI), and coexisting contralateral CAS. In comparison with SR, dpPR exhibited a stronger correlation with CII. In particular, the relationship between dpPR and CII was found to be describable by a mathematical function if MAP and CFAI were fixed. The findings not only deepen our understanding of the physiological implications of dpPR but also provide valuable theoretical insights to guide the application of dpPR in clinical practice.</p>\n </div>","PeriodicalId":50349,"journal":{"name":"International Journal for Numerical Methods in Biomedical Engineering","volume":"41 5","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Computational Model-Based Study on Trans-Stenotic Pressure Ratio of Carotid Artery Stenosis and Its Predictive Value for Cerebral Ischemia\",\"authors\":\"Yingjie Xia, Changpeng Wang, Yan Wang, Fuyou Liang\",\"doi\":\"10.1002/cnm.70044\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>Trans-stenotic pressure ratio (herein denoted by dpPR) has been proposed as a complementary index to stenosis rate (SR) for assessing the functional severity of carotid artery stenosis (CAS); however, it remains unclear how well dpPR can indicate cerebral ischemia. In this study, a physiology-based computational model of the cerebral circulation was developed to yield a tool for generating large-scale in silico data to characterize the changes of the dpPR of the left internal CAS in response to variations in SR and various anatomical/pathophysiological factors that represent inter-patient differences. In addition, a cerebral ischemia index (CII) was defined to evaluate the predictive value of dpPR for cerebral ischemia. Results showed that dpPR was affected by many factors unrelated to the severity of stenosis, such as the anatomical structure and geometrical size of cerebral arteries, mean systemic arterial blood pressure (MAP), flow autoregulation function of cerebral microcirculation (quantified by CFAI), and coexisting contralateral CAS. In comparison with SR, dpPR exhibited a stronger correlation with CII. In particular, the relationship between dpPR and CII was found to be describable by a mathematical function if MAP and CFAI were fixed. The findings not only deepen our understanding of the physiological implications of dpPR but also provide valuable theoretical insights to guide the application of dpPR in clinical practice.</p>\\n </div>\",\"PeriodicalId\":50349,\"journal\":{\"name\":\"International Journal for Numerical Methods in Biomedical Engineering\",\"volume\":\"41 5\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2025-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal for Numerical Methods in Biomedical Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/cnm.70044\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal for Numerical Methods in Biomedical Engineering","FirstCategoryId":"5","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cnm.70044","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
A Computational Model-Based Study on Trans-Stenotic Pressure Ratio of Carotid Artery Stenosis and Its Predictive Value for Cerebral Ischemia
Trans-stenotic pressure ratio (herein denoted by dpPR) has been proposed as a complementary index to stenosis rate (SR) for assessing the functional severity of carotid artery stenosis (CAS); however, it remains unclear how well dpPR can indicate cerebral ischemia. In this study, a physiology-based computational model of the cerebral circulation was developed to yield a tool for generating large-scale in silico data to characterize the changes of the dpPR of the left internal CAS in response to variations in SR and various anatomical/pathophysiological factors that represent inter-patient differences. In addition, a cerebral ischemia index (CII) was defined to evaluate the predictive value of dpPR for cerebral ischemia. Results showed that dpPR was affected by many factors unrelated to the severity of stenosis, such as the anatomical structure and geometrical size of cerebral arteries, mean systemic arterial blood pressure (MAP), flow autoregulation function of cerebral microcirculation (quantified by CFAI), and coexisting contralateral CAS. In comparison with SR, dpPR exhibited a stronger correlation with CII. In particular, the relationship between dpPR and CII was found to be describable by a mathematical function if MAP and CFAI were fixed. The findings not only deepen our understanding of the physiological implications of dpPR but also provide valuable theoretical insights to guide the application of dpPR in clinical practice.
期刊介绍:
All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.