{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T00:04:45Z","timestamp":1793837085921,"version":"4.6.1"},"reference-count":28,"publisher":"SAGE Publications","issue":"7","license":[{"start":{"date-parts":[[2016,10,4]],"date-time":"2016-10-04T00:00:00Z","timestamp":1475539200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["J Cereb Blood Flow Metab"],"published-print":{"date-parts":[[2017,7]]},"abstract":"<jats:p>\n                    The fractional pressure ratio is introduced to quantitatively assess the hemodynamic significance of severe intracranial stenosis. A computational fluid dynamics-based method is proposed to non-invasively compute the FPR\n                    <jats:sub>CFD<\/jats:sub>\n                    and compared against fractional pressure ratio measured by an invasive technique. Eleven patients with severe intracranial stenosis considered for endovascular intervention were recruited and an invasive procedure was performed to measure the distal and the aortic pressure ( P\n                    <jats:sub>d<\/jats:sub>\n                    and P\n                    <jats:sub>a<\/jats:sub>\n                    ). The fractional pressure ratio was calculated as [Formula: see text]. The computed tomography angiography was used to reconstruct three-dimensional (3D) arteries for each patient. Cerebral hemodynamics was then computed for the arteries using a mathematical model governed by Navier\u2013Stokes equations and with the outflow conditions imposed by a model of distal resistance and compliance. The non-invasive [Formula: see text], [Formula: see text], and FPR\n                    <jats:sub>CFD<\/jats:sub>\n                    were then obtained from the computational fluid dynamics calculation using a 16-core parallel computer. The invasive and non-invasive parameters were tested by statistical analysis. For this group of patients, the computational fluid dynamics method achieved comparable results with the invasive measurements. The fractional pressure ratio and FPR\n                    <jats:sub>CFD<\/jats:sub>\n                    are very close and highly correlated, but not linearly proportional, with the percentage of stenosis. The proposed computational fluid dynamics method can potentially be useful in assessing the functional alteration of cerebral stenosis.\n                  <\/jats:p>","DOI":"10.1177\/0271678x16671321","type":"journal-article","created":{"date-parts":[[2016,10,4]],"date-time":"2016-10-04T21:23:17Z","timestamp":1475616197000},"page":"2567-2576","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":64,"title":["Functional assessment of cerebral artery stenosis: A pilot study based on computational fluid dynamics"],"prefix":"10.1177","volume":"37","author":[{"given":"Jia","family":"Liu","sequence":"first","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhengzheng","family":"Yan","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuehua","family":"Pu","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wen-Shin","family":"Shiu","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jianhuang","family":"Wu","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rongliang","family":"Chen","sequence":"additional","affiliation":[{"name":"Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinyi","family":"Leng","sequence":"additional","affiliation":[{"name":"Faculty of Medicine, Department of Medicine & Therapeutics, The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haiqiang","family":"Qin","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Baixue","family":"Jia","sequence":"additional","affiliation":[{"name":"Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, 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