{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T01:03:41Z","timestamp":1792112621658,"version":"4.4.0"},"reference-count":22,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2024,6,4]],"date-time":"2024-06-04T00:00:00Z","timestamp":1717459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003130","name":"Fonds Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","award":["1S10421N"],"award-info":[{"award-number":["1S10421N"]}],"id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004385","name":"Universiteit Gent","doi-asserted-by":"publisher","award":["BOFSTA201909015"],"award-info":[{"award-number":["BOFSTA201909015"]}],"id":[{"id":"10.13039\/501100004385","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.fr","clinicalkey.jp","clinicalkey.es","clinicalkey.com.au","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computer Methods and Programs in Biomedicine"],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1016\/j.cmpb.2024.108234","type":"journal-article","created":{"date-parts":[[2024,5,19]],"date-time":"2024-05-19T09:05:29Z","timestamp":1716109529000},"page":"108234","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":6,"special_numbering":"C","title":["Adaptive design of experiments to fit surrogate Gaussian process regression models allows fast sensitivity analysis of the input waveform for patient-specific 3D CFD models of liver radioembolization"],"prefix":"10.1016","volume":"252","author":[{"given":"Tim","family":"Bomberna","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Geert","family":"Maleux","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1962-238X","authenticated-orcid":false,"given":"Charlotte","family":"Debbaut","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.cmpb.2024.108234_bib0001","doi-asserted-by":"crossref","first-page":"2557","DOI":"10.1053\/j.gastro.2007.04.061","article-title":"Hepatocellular carcinoma: epidemiology and molecular carcinogenesis","volume":"132","author":"El-Serag","year":"2007","journal-title":"Gastroenterol"},{"key":"10.1016\/j.cmpb.2024.108234_bib0002","doi-asserted-by":"crossref","first-page":"537","DOI":"10.1093\/carcin\/bgad052","article-title":"The current landscape of therapies for hepatocellular carcinoma","volume":"44","author":"Coffman-D'Annibale","year":"2023","journal-title":"Carcinog"},{"key":"10.1016\/j.cmpb.2024.108234_bib0003","doi-asserted-by":"crossref","first-page":"604","DOI":"10.1016\/j.cgh.2012.12.039","article-title":"Chemoembolization and radioembolization for hepatocellular carcinoma","volume":"11","author":"Salem","year":"2013","journal-title":"Clin. Gastroenterol. Hepatol."},{"key":"10.1016\/j.cmpb.2024.108234_bib0004","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1002\/cnm.2895","article-title":"The role of angled-tip microcatheter and microsphere injection velocity in liver radioembolization: a computational particle\u2013hemodynamics study","volume":"33","author":"Aramburu","year":"2017","journal-title":"Int. J. Numer. Method. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2024.108234_bib0005","first-page":"409","article-title":"Transarterial drug delivery for liver cancer: numerical simulations and experimental validation of particle distribution in patient-specific livers","volume":"3","author":"Bomberna","year":"2020","journal-title":"Expert. Opin. Drug Deliv."},{"key":"10.1016\/j.cmpb.2024.108234_bib0006","doi-asserted-by":"crossref","first-page":"1262","DOI":"10.1007\/s00270-012-0538-2","article-title":"Downstream hepatic arterial blood pressure changes caused by deployment of the surefire antireflux expandable tip","volume":"36","author":"Rose","year":"2013","journal-title":"Cardiovasc. Intervent. Radiol."},{"key":"10.1016\/j.cmpb.2024.108234_bib0007","doi-asserted-by":"crossref","DOI":"10.1115\/1.4025881","article-title":"Computationally efficient particle release map determination for direct tumor-targeting in a representative hepatic artery system","volume":"136","author":"Childress","year":"2014","journal-title":"J. Biomech. Eng."},{"key":"10.1016\/j.cmpb.2024.108234_bib0008","doi-asserted-by":"crossref","DOI":"10.1115\/1.4006685","article-title":"A new catheter for tumor-targeting with radioactive microspheres in representative hepatic artery systems-Part II: solid tumor-targeting in a patient-inspired hepatic artery system","volume":"134","author":"Childress","year":"2012","journal-title":"J. Biomech. Eng."},{"key":"10.1016\/j.cmpb.2024.108234_bib0009","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1016\/j.ctrv.2010.07.006","article-title":"Evolving strategies for the management of intermediate-stage hepatocellular carcinoma: available evidence and expert opinion on the use of transarterial chemoembolization","volume":"37","author":"Raoul","year":"2011","journal-title":"Cancer Treat. Rev."},{"key":"10.1016\/j.cmpb.2024.108234_bib0010","doi-asserted-by":"crossref","first-page":"668","DOI":"10.1016\/j.jvir.2022.03.006","article-title":"On the impact of injection distance to bifurcations on yttrium-90 distribution in liver cancer radioembolization","volume":"33","author":"Taebi","year":"2022","journal-title":"J. Vasc. Interv. Radiol."},{"key":"10.1016\/j.cmpb.2024.108234_bib0011","doi-asserted-by":"crossref","DOI":"10.1098\/rsta.2020.0221","article-title":"VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations","volume":"379","author":"Groen","year":"2021","journal-title":"Phil. Trans. R. Soc. A"},{"key":"10.1016\/j.cmpb.2024.108234_bib0012","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1016\/S0951-8320(03)00058-9","article-title":"Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems","volume":"81","author":"Helton","year":"2003","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"10.1016\/j.cmpb.2024.108234_bib0013","doi-asserted-by":"crossref","DOI":"10.3389\/fbioe.2022.914979","article-title":"A Hybrid Particle-Flow CFD Modeling Approach in Truncated Hepatic Arterial Trees for Liver Radioembolization: a Patient-specific Case Study","volume":"10","author":"Bomberna","year":"2022","journal-title":"Front. Bioeng. Biotechnol."},{"key":"10.1016\/j.cmpb.2024.108234_bib0015","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1016\/B978-0-444-59507-2.50015-9","article-title":"Uncertainty propagation in condensate stabilization column","volume":"31","author":"Askarian","year":"2012","journal-title":"Comp. Aid Chem. Eng."},{"key":"10.1016\/j.cmpb.2024.108234_bib0016","doi-asserted-by":"crossref","first-page":"10554","DOI":"10.3390\/app122010554","article-title":"Real-time prediction of transarterial drug delivery based on a deep convolutional neural network","volume":"12","author":"Yuan","year":"2022","journal-title":"Appl. Sci."},{"key":"10.1016\/j.cmpb.2024.108234_bib0017","series-title":"Proceedings of ISUMA 1990 - 1st International Symposium on Uncertainty Modeling and Analysis","first-page":"398","article-title":"An importance quantification technique in uncertainty analysis for computer models","author":"Ishigami","year":"1990"},{"key":"10.1016\/j.cmpb.2024.108234_bib0018","doi-asserted-by":"crossref","first-page":"280","DOI":"10.1016\/S0010-4655(02)00280-1","article-title":"Making best use of model evaluations to compute sensitivity indices","volume":"145","author":"Saltelli","year":"2002","journal-title":"Comput. Phys. Commun."},{"key":"10.1016\/j.cmpb.2024.108234_bib0019","doi-asserted-by":"crossref","first-page":"208","DOI":"10.1152\/ajpheart.00037.2009","article-title":"Validation of a one-dimensional model of the systemic arterial tree","volume":"297","author":"Reymond","year":"2009","journal-title":"Am. J. Physiol. Heart. Circ. Physiol."},{"key":"10.1016\/j.cmpb.2024.108234_bib0020","article-title":"Spatiotemporal analysis of particle spread to assess the hybrid particle-flow CFD model of radioembolization of HCC tumors","author":"Bomberna","year":"2023","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"10.1016\/j.cmpb.2024.108234_bib0021","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1080\/00401706.1991.10484804","article-title":"Factorial sampling plans for preliminary computational experiments","volume":"33","author":"Morris","year":"1991","journal-title":"Technometrics."},{"key":"10.1016\/j.cmpb.2024.108234_bib0022","first-page":"1","article-title":"Computational modeling of the liver arterial blood flow for microsphere therapy: effect of boundary conditions","volume":"7","author":"Taebi","year":"2020","journal-title":"Bioeng"},{"key":"10.1016\/j.cmpb.2024.108234_bib0023","doi-asserted-by":"crossref","first-page":"e3100","DOI":"10.1002\/cnm.3100","article-title":"Sensitivity analysis of geometrical parameters to study haemodynamics and thrombus formation in the left atrial appendage","volume":"34","author":"Garc\u00eda-Isla","year":"2018","journal-title":"Int. J. Numer. Method. Biomed. Eng."}],"container-title":["Computer Methods and Programs in Biomedicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260724002293?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0169260724002293?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T20:49:50Z","timestamp":1717620590000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0169260724002293"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":22,"alternative-id":["S0169260724002293"],"URL":"https:\/\/doi.org\/10.1016\/j.cmpb.2024.108234","relation":{},"ISSN":["0169-2607"],"issn-type":[{"value":"0169-2607","type":"print"}],"subject":[],"published":{"date-parts":[[2024,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Adaptive design of experiments to fit surrogate Gaussian process regression models allows fast sensitivity analysis of the input waveform for patient-specific 3D CFD models of liver radioembolization","name":"articletitle","label":"Article Title"},{"value":"Computer Methods and Programs in Biomedicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.cmpb.2024.108234","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 The Authors. Published by Elsevier B.V.","name":"copyright","label":"Copyright"}],"article-number":"108234"}}