{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T11:08:50Z","timestamp":1774264130097,"version":"3.50.1"},"reference-count":44,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers in Biology and Medicine"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1016\/j.compbiomed.2020.103777","type":"journal-article","created":{"date-parts":[[2020,5,12]],"date-time":"2020-05-12T11:21:17Z","timestamp":1589282477000},"page":"103777","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":12,"special_numbering":"C","title":["Analysis of the effect of guidewire position on stenosis diagnosis using computational fluid dynamics"],"prefix":"10.1016","volume":"121","author":[{"given":"Yasser","family":"Abuouf","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shinichi","family":"Ookawara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mahmoud","family":"Ahmed","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"78","reference":[{"key":"10.1016\/j.compbiomed.2020.103777_bib1","series-title":"Computational Hemodynamics\u2013Theory, Modelling and Applications","author":"Tu","year":"2015"},{"key":"10.1016\/j.compbiomed.2020.103777_bib2","series-title":"Handb. Syst. Autoimmune Dis.","article-title":"The heart in systemic autoimmune diseases","author":"Rodriguez-Pinto","year":"2017"},{"key":"10.1016\/j.compbiomed.2020.103777_bib3","series-title":"Goldman's Cecil Med.","first-page":"256","article-title":"51 - epidemiology of cardiovascular disease","author":"Klag","year":"2012"},{"key":"10.1016\/j.compbiomed.2020.103777_bib4","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.ijcard.2018.03.099","article-title":"Type 1 and type 2 diabetes mellitus and incidence of seven cardiovascular diseases","volume":"262","author":"Larsson","year":"2018","journal-title":"Int. J. Cardiol."},{"key":"10.1016\/j.compbiomed.2020.103777_bib5","series-title":"Med. Pharmacol. Ther.","first-page":"93","article-title":"5 - ischaemic heart disease","author":"Waller","year":"2018"},{"key":"10.1016\/j.compbiomed.2020.103777_bib6","doi-asserted-by":"crossref","first-page":"109","DOI":"10.4103\/HEARTVIEWS.HEARTVIEWS_106_17","article-title":"Risk factors for coronary artery disease: historical perspectives","volume":"18","author":"Hajar","year":"2017","journal-title":"Heart Views"},{"key":"10.1016\/j.compbiomed.2020.103777_bib7","doi-asserted-by":"crossref","first-page":"S3","DOI":"10.1016\/j.amjmed.2008.10.013","article-title":"The pathology of atherosclerosis: plaque development and plaque responses to medical treatment","volume":"122","author":"Insull","year":"2009","journal-title":"Am. J. Med."},{"key":"10.1016\/j.compbiomed.2020.103777_bib8","doi-asserted-by":"crossref","first-page":"659","DOI":"10.1002\/cnm.2625","article-title":"Perspective on CFD studies of coronary artery disease lesions and hemodynamics: a review","volume":"30","author":"Zhang","year":"2014","journal-title":"Int. J. Numer. Method. Biomed. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib9","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1016\/0735-1097(90)90472-2","article-title":"Intravascular ultrasound imaging: in vitro validation and pathologic correlation","volume":"16","author":"Nishimura","year":"1990","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.compbiomed.2020.103777_bib10","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1016\/j.jacc.2005.03.071","article-title":"Quantification of obstructive and nonobstructive coronary lesions by 64-slice computed tomography","volume":"46","author":"Leber","year":"2005","journal-title":"J. Am. Coll. Cardiol."},{"key":"10.1016\/j.compbiomed.2020.103777_bib11","first-page":"1","article-title":"Intravascular ultrasound to guide percutaneous coronary interventions: an evidence-based analysis","volume":"6","author":"Health-Quality-Ontario","year":"2006","journal-title":"Ont. Health Technol. Assess. Ser."},{"key":"10.1016\/j.compbiomed.2020.103777_bib12","first-page":"25","article-title":"Three-dimensional modeling and numerical analysis of fractional flow reserve in human coronary arteries, Post\u0119py w Kardiol","volume":"12","author":"Dai","year":"2016","journal-title":"Interwencyjnej= Adv. Interv. Cardiol."},{"key":"10.1016\/j.compbiomed.2020.103777_bib13","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1186\/s12938-018-0468-6","article-title":"A new CFD based non-invasive method for functional diagnosis of coronary stenosis","volume":"17","author":"Xie","year":"2018","journal-title":"Biomed. Eng. Online"},{"key":"10.1016\/j.compbiomed.2020.103777_bib14","series-title":"ASME 2015 Int. Mech. Eng. Congr. Expo.","article-title":"Fast CT-FFR analysis method for the coronary artery based on 4D-CT image analysis and structural and fluid analysis","author":"Kato","year":"2016"},{"key":"10.1016\/j.compbiomed.2020.103777_bib15","doi-asserted-by":"crossref","first-page":"663","DOI":"10.1016\/j.jcmg.2016.07.005","article-title":"Noninvasive CT-derived FFR based on structural and fluid analysis","volume":"10","author":"Ko","year":"2017","journal-title":"JACC Cardiovasc. Imaging"},{"key":"10.1016\/j.compbiomed.2020.103777_bib16","doi-asserted-by":"crossref","first-page":"674","DOI":"10.1016\/j.jcmg.2016.08.001","article-title":"The new era of computational fluid dynamics in CT angiography","volume":"10","author":"Pontone","year":"2017","journal-title":"JACC Cardiovasc. Imaging"},{"key":"10.1016\/j.compbiomed.2020.103777_bib17","article-title":"Comparison of benchtop pressure gradient measurements in 3D printed patient specific cardiac phantoms with CT-FFR and computational fluid dynamic simulations","author":"Sommer","year":"2019","journal-title":"Proc. SPIE"},{"key":"10.1016\/j.compbiomed.2020.103777_bib18","doi-asserted-by":"crossref","first-page":"1353","DOI":"10.1016\/j.compbiomed.2013.06.013","article-title":"Image-based computational hemodynamics evaluation of atherosclerotic carotid bifurcation models","volume":"43","author":"Dong","year":"2013","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.compbiomed.2020.103777_bib19","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1186\/s12938-018-0465-9","article-title":"Carotid DSA based CFD simulation in assessing the patient with asymptomatic carotid stenosis: a preliminary study","volume":"17","author":"Zhang","year":"2018","journal-title":"Biomed. Eng. Online"},{"key":"10.1016\/j.compbiomed.2020.103777_bib20","doi-asserted-by":"crossref","first-page":"2153","DOI":"10.1007\/s10439-009-9760-8","article-title":"On coupling a lumped parameter heart model and a three-dimensional finite element aorta model","volume":"37","author":"Kim","year":"2009","journal-title":"Ann. Biomed. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib21","doi-asserted-by":"crossref","DOI":"10.1002\/cnm.2908","article-title":"Estimating the accuracy of a reduced\u2010order model for the calculation of fractional flow reserve (FFR)","volume":"34","author":"Boileau","year":"2018","journal-title":"Int. J. Numer. Method. Biomed. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib22","series-title":"Int. Conf. Med. Image Comput. Comput. Interv.","first-page":"433","article-title":"Learning patient-specific lumped models for interactive coronary blood flow simulations","author":"Nickisch","year":"2015"},{"key":"10.1016\/j.compbiomed.2020.103777_bib23","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1148\/radiol.2018171291","article-title":"Coronary CT angiography\u2013derived fractional flow reserve: machine learning algorithm versus computational fluid dynamics modeling","volume":"288","author":"Tesche","year":"2018","journal-title":"Radiology"},{"key":"10.1016\/j.compbiomed.2020.103777_bib24","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCIMAGING.117.007217","article-title":"Diagnostic accuracy of a machine-learning approach to coronary computed tomographic angiography\u2013based fractional flow reserve: result from the MACHINE consortium","volume":"11","author":"Coenen","year":"2018","journal-title":"Circ. Cardiovasc. Imaging"},{"key":"10.1016\/j.compbiomed.2020.103777_bib25","doi-asserted-by":"crossref","DOI":"10.1097\/RTI.0000000000000483","article-title":"Machine learning and deep neural networks applications in coronary flow assessment: the case of computed tomography fractional flow reserve","author":"Tesche","year":"2020","journal-title":"J. Thorac. Imag."},{"key":"10.1016\/j.compbiomed.2020.103777_bib26","doi-asserted-by":"crossref","first-page":"97","DOI":"10.15420\/icr.2017:13:2","article-title":"Performing and interpreting fractional flow reserve measurements in clinical practice: an expert consensus document","volume":"12","author":"Achenbach","year":"2017","journal-title":"Interv. Cardiol. Rev."},{"issue":"2014","key":"10.1016\/j.compbiomed.2020.103777_bib27","first-page":"2541","article-title":"ESC\/EACTS guidelines on myocardial revascularization: the task force on myocardial revascularization of the European society of cardiology (ESC) and the European association for cardio-thoracic surgery (EACTS) developed with the special contribution","volume":"35","author":"Windecker","year":"2014","journal-title":"Eur. Heart J."},{"key":"10.1016\/j.compbiomed.2020.103777_bib28","series-title":"Coronary Pressure","author":"Pijls","year":"2000"},{"key":"10.1016\/j.compbiomed.2020.103777_bib29","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1186\/1475-925X-7-24","article-title":"Hemodynamic diagnostics of epicardial coronary stenoses: in-vitro experimental and computational study","volume":"7","author":"Banerjee","year":"2008","journal-title":"Biomed. Eng. Online"},{"key":"10.1016\/j.compbiomed.2020.103777_bib30","doi-asserted-by":"crossref","first-page":"H2349","DOI":"10.1152\/ajpheart.01042.2006","article-title":"Effect of simultaneous intracoronary guidewires on the predictive accuracy of functional parameters of coronary lesion severity","volume":"292","author":"Verberne","year":"2007","journal-title":"Am. J. Physiol. Circ. Physiol."},{"key":"10.1016\/j.compbiomed.2020.103777_bib31","doi-asserted-by":"crossref","first-page":"91005","DOI":"10.1115\/1.4024682","article-title":"Influence of variable native arterial diameter and vasculature status on coronary diagnostic parameters","volume":"135","author":"Goswami","year":"2013","journal-title":"J. Biomech. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib32","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1161\/01.CIR.86.1.232","article-title":"Lumen diameter of normal human coronary arteries. Influence of age, sex, anatomic variation, and left ventricular hypertrophy or dilation","volume":"86","author":"Dodge","year":"1992","journal-title":"Circulation"},{"key":"10.1016\/j.compbiomed.2020.103777_bib33","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1016\/j.jcct.2014.07.003","article-title":"SCCT guidelines for the interpretation and reporting of coronary CT angiography: a report of the Society of Cardiovascular Computed Tomography Guidelines Committee","volume":"8","author":"Leipsic","year":"2014","journal-title":"J. Cardiovasc. Comput. Tomogr."},{"key":"10.1016\/j.compbiomed.2020.103777_bib34","doi-asserted-by":"crossref","first-page":"873","DOI":"10.1161\/01.CIR.77.4.873","article-title":"The effect of coronary angioplasty on coronary flow reserve.","volume":"77","author":"Wilson","year":"1988","journal-title":"Circulation"},{"key":"10.1016\/j.compbiomed.2020.103777_bib35","first-page":"197","article-title":"A critical review on blood flow in large arteries; relevance to blood rheology, viscosity models, and physiologic conditions, Korea-Australia","volume":"20","author":"Yilmaz","year":"2008","journal-title":"Rheol. J."},{"key":"10.1016\/j.compbiomed.2020.103777_bib36","doi-asserted-by":"crossref","first-page":"201","DOI":"10.1016\/j.compbiomed.2018.06.017","article-title":"Permeability and fluid flow-induced wall shear stress of bone tissue scaffolds: computational fluid dynamic analysis using Newtonian and non-Newtonian blood flow models","volume":"99","author":"Ali","year":"2018","journal-title":"Comput. Biol. Med."},{"key":"10.1016\/j.compbiomed.2020.103777_bib37","doi-asserted-by":"crossref","first-page":"21026","DOI":"10.1115\/1.4026317","article-title":"Diagnostic uncertainties during assessment of serial coronary stenoses: an in vitro study","volume":"136","author":"D'Souza","year":"2014","journal-title":"J. Biomech. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib38","doi-asserted-by":"crossref","first-page":"e2868","DOI":"10.1002\/cnm.2868","article-title":"Large eddy simulations for blood dynamics in realistic stenotic carotids","volume":"33","author":"Lancellotti","year":"2017","journal-title":"Int. J. Numer. Method. Biomed. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib39","doi-asserted-by":"crossref","first-page":"1230","DOI":"10.1136\/hrt.2005.075101","article-title":"Dobutamine-induced hyperaemia inversely correlates with coronary artery stenosis severity and highlights dissociation between myocardial blood flow and oxygen consumption","volume":"92","author":"Jagathesan","year":"2006","journal-title":"Heart"},{"key":"10.1016\/j.compbiomed.2020.103777_bib40","series-title":"ASME Int. Mech. Eng. Congr. Expo.","article-title":"Influence of fractional flow reserve setting on the procedure precision","author":"Abuouf","year":"2019"},{"key":"10.1016\/j.compbiomed.2020.103777_bib41","series-title":"ASME Int. Mech. Eng. Congr. Expo.","article-title":"Enhancing fractional flow reserve procedure in stenosis diagnosis","author":"Abuouf","year":"2019"},{"key":"10.1016\/j.compbiomed.2020.103777_bib42","doi-asserted-by":"crossref","DOI":"10.1002\/cnm.2716","article-title":"Finite element simulation of the insertion of guidewires during an EVAR procedure: example of a complex patient case, a first step toward patient\u2010specific parameterized models","volume":"31","author":"Gindre","year":"2015","journal-title":"Int. J. Numer. Method. Biomed. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib43","doi-asserted-by":"crossref","DOI":"10.1002\/cnm.2974","article-title":"Patient\u2010specific simulation of guidewire deformation during transcatheter aortic valve implantation","volume":"34","author":"Vy","year":"2018","journal-title":"Int. J. Numer. Method. Biomed. Eng."},{"key":"10.1016\/j.compbiomed.2020.103777_bib44","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1161\/CIRCULATIONAHA.118.037350","article-title":"Accuracy of fractional flow reserve derived from coronary angiography","volume":"139","author":"Fearon","year":"2019","journal-title":"Circulation"}],"container-title":["Computers in Biology and Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482520301475?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0010482520301475?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,14]],"date-time":"2025-09-14T19:25:42Z","timestamp":1757877942000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0010482520301475"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":44,"alternative-id":["S0010482520301475"],"URL":"https:\/\/doi.org\/10.1016\/j.compbiomed.2020.103777","relation":{},"ISSN":["0010-4825"],"issn-type":[{"value":"0010-4825","type":"print"}],"subject":[],"published":{"date-parts":[[2020,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Analysis of the effect of guidewire position on stenosis diagnosis using computational fluid dynamics","name":"articletitle","label":"Article Title"},{"value":"Computers in Biology and Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compbiomed.2020.103777","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2020 Elsevier Ltd. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"103777"}}