{"id":"https://openalex.org/W2171902319","doi":"https://doi.org/10.1109/isbi.2010.5490382","title":"Pharmacokinetic models in clinical practice: What model to use for DCE-MRI of the breast?","display_name":"Pharmacokinetic models in clinical practice: What model to use for DCE-MRI of the breast?","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2171902319","doi":"https://doi.org/10.1109/isbi.2010.5490382","mag":"2171902319"},"language":"en","primary_location":{"id":"doi:10.1109/isbi.2010.5490382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055697525","display_name":"Geert Litjens","orcid":"https://orcid.org/0000-0003-1554-1291"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"G.J.S. Litjens","raw_affiliation_strings":["Department of Biomedical Engineering, Eindhovan University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhovan University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081626870","display_name":"M. Heisen","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"M. Heisen","raw_affiliation_strings":["Department of Biomedical Engineering, Eindhovan University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhovan University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026034173","display_name":"J. Buurman","orcid":null},"institutions":[{"id":"https://openalex.org/I4210122849","display_name":"Philips (Netherlands)","ror":"https://ror.org/02p2bgp27","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210122849"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"J. Buurman","raw_affiliation_strings":["Healthcare Informatics, Philips Healthcare, Best, Netherlands"],"affiliations":[{"raw_affiliation_string":"Healthcare Informatics, Philips Healthcare, Best, Netherlands","institution_ids":["https://openalex.org/I4210122849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081456690","display_name":"Bart M. ter Haar Romeny","orcid":"https://orcid.org/0000-0003-3442-3207"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"B.M. ter Haar Romeny","raw_affiliation_strings":["Department of Biomedical Engineering, Eindhovan University of Technology, Eindhoven, Netherlands"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Eindhovan University of Technology, Eindhoven, Netherlands","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5055697525"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.2498,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.66039998,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"185","last_page":"188"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11885","display_name":"MRI in cancer diagnosis","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11279","display_name":"Lanthanide and Transition Metal Complexes","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.5909691452980042},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5828961730003357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5273155570030212},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5025947093963623},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.46823447942733765},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4371037185192108},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4169308841228485},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.41015326976776123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40686336159706116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.39048832654953003},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2758856415748596},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17196941375732422},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.14692938327789307},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1261952519416809}],"concepts":[{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.5909691452980042},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5828961730003357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5273155570030212},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5025947093963623},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.46823447942733765},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4371037185192108},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4169308841228485},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.41015326976776123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40686336159706116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39048832654953003},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2758856415748596},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17196941375732422},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.14692938327789307},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1261952519416809},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/isbi.2010.5490382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isbi.2010.5490382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/9dfcd0c7-5262-41aa-942e-6f248a5d9076","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/9dfcd0c7-5262-41aa-942e-6f248a5d9076","pdf_url":null,"source":{"id":"https://openalex.org/S4406922641","display_name":"TU/e Research Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Litjens, G J S, Heisen, M, Buurman, J & Haar Romenij, ter, B M 2010, Pharmacokinetic models in clinical practice : what model to use for DCE-MRI of the breast? in 2010 IEEE International Symposium on Biomedical Imaging;14-17 april 2010, Rotterdam, Netherlands. Institute of Electrical and Electronics Engineers, pp. 185-188. https://doi.org/10.1109/ISBI.2010.5490382","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:672636","is_oa":false,"landing_page_url":"http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=672636","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:oai:library.tue.nl:672636","is_oa":false,"landing_page_url":"http://repository.tue.nl/672636","pdf_url":null,"source":{"id":"https://openalex.org/S4406923046","display_name":"TU/e Research Portal (Eindhoven University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""},{"id":"pmh:tue:oai:pure.tue.nl:publications/9dfcd0c7-5262-41aa-942e-6f248a5d9076","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/9dfcd0c7-5262-41aa-942e-6f248a5d9076","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2010 IEEE International Symposium on Biomedical Imaging;14-17 april 2010, Rotterdam, Netherlands, 185 - 188","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W133902753","https://openalex.org/W1667165204","https://openalex.org/W1966174264","https://openalex.org/W1997995944","https://openalex.org/W2001085450","https://openalex.org/W2001974555","https://openalex.org/W2018737825","https://openalex.org/W2065637833","https://openalex.org/W2072626310","https://openalex.org/W2079615115","https://openalex.org/W2085512859","https://openalex.org/W2089513130","https://openalex.org/W2109834560","https://openalex.org/W2122639169","https://openalex.org/W2147415913","https://openalex.org/W2168140453","https://openalex.org/W2171074980","https://openalex.org/W2235703329","https://openalex.org/W4255564469"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W3125011624","https://openalex.org/W1508631387","https://openalex.org/W2370917603","https://openalex.org/W2952760143","https://openalex.org/W2017776670","https://openalex.org/W2347897961","https://openalex.org/W2340870721","https://openalex.org/W2358318464","https://openalex.org/W2979236518"],"abstract_inverted_index":{"Pharmacokinetic":[0],"modeling":[1],"is":[2,40,114],"increasingly":[3],"used":[4,49],"in":[5,50,79],"DCE-MRI":[6],"high":[7],"risk":[8],"breast":[9],"cancer":[10],"screening.":[11],"Several":[12],"models":[13,19,46],"are":[14,20,146],"available.":[15],"The":[16],"most":[17],"common":[18],"the":[21,26,29,35,76,80,83,94,110,115],"standard":[22,95,111],"and":[23,28,34,61,135],"extended":[24],"Tofts,":[25],"shutter-speed,":[27],"Brix":[30],"model.":[31],"Each":[32],"model":[33,113,117],"meaning":[36],"of":[37,58,82,124,132],"its":[38],"parameters":[39,85],"explained.":[41],"It":[42,106],"was":[43,73,107],"investigated":[44],"which":[45],"can":[47],"be":[48],"a":[51,56,88,130],"clinical":[52],"setting":[53],"by":[54],"simulating":[55],"range":[57,131],"sampling":[59,133],"rates":[60,134],"noise":[62,136],"levels":[63],"representing":[64],"different":[65],"MRI":[66],"acquisition":[67],"schemes.":[68],"In":[69],"addition,":[70],"an":[71,121],"investigation":[72],"performed":[74],"on":[75,126],"errors":[77],"introduced":[78],"estimates":[81,128],"pharmacokinetic":[84],"when":[86,141],"using":[87],"physiologically":[89],"less":[90],"complex":[91,104,143],"model,":[92,97],"i.e.":[93],"Tofts":[96,112],"to":[98],"fit":[99],"curves":[100],"generated":[101],"with":[102],"more":[103],"models.":[105],"found":[108],"that":[109,118],"only":[116],"performs":[119],"within":[120],"error":[122],"margin":[123],"20%":[125],"parameter":[127],"over":[129],"levels.":[137],"This":[138],"still":[139],"holds":[140],"small":[142],"physiological":[144],"effects":[145],"present.":[147]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}