{"id":"https://openalex.org/W2809208535","doi":"https://doi.org/10.1117/12.2291746","title":"Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma","display_name":"Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma","publication_year":2018,"publication_date":"2018-02-27","ids":{"openalex":"https://openalex.org/W2809208535","doi":"https://doi.org/10.1117/12.2291746","mag":"2809208535"},"language":"en","primary_location":{"id":"doi:10.1117/12.2291746","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291746","pdf_url":null,"source":{"id":"https://openalex.org/S4306519508","display_name":"Medical Imaging 2018: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Computer-Aided Diagnosis","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/A5040734781","display_name":"Mathias Prokop","orcid":"https://orcid.org/0000-0001-8157-8055"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Mathias Prokop","raw_affiliation_strings":["Radboud Univ. Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046175474","display_name":"Joost van der Putten","orcid":"https://orcid.org/0000-0002-0915-9048"},"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":"Joost van der Putten","raw_affiliation_strings":["Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075677746","display_name":"Fons van der Sommen","orcid":"https://orcid.org/0000-0002-3593-2356"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fons van der Sommen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012511456","display_name":"Svitlana Zinger","orcid":"https://orcid.org/0000-0001-9357-3067"},"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":"Svitlana Zinger","raw_affiliation_strings":["Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013403284","display_name":"John J. Hermans","orcid":"https://orcid.org/0000-0001-9207-0548"},"institutions":[{"id":"https://openalex.org/I145872427","display_name":"Radboud University Nijmegen","ror":"https://ror.org/016xsfp80","country_code":"NL","type":"education","lineage":["https://openalex.org/I145872427"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"John Hermans","raw_affiliation_strings":["Radboud Univ. Medical Ctr. (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Radboud Univ. Medical Ctr. (Netherlands)","institution_ids":["https://openalex.org/I145872427"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029008213","display_name":"Peter H. N. de With","orcid":"https://orcid.org/0000-0002-7639-7716"},"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":"Peter H. N. de With","raw_affiliation_strings":["Technische Univ. Eindhoven (Netherlands)"],"affiliations":[{"raw_affiliation_string":"Technische Univ. Eindhoven (Netherlands)","institution_ids":["https://openalex.org/I83019370"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5040734781"],"corresponding_institution_ids":["https://openalex.org/I145872427"],"apc_list":null,"apc_paid":null,"fwci":0.4716,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.68391787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"64","issue":null,"first_page":"132","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T10231","display_name":"Pancreatic and Hepatic Oncology Research","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9998999834060669,"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/T10862","display_name":"AI in cancer detection","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.8507584929466248},{"id":"https://openalex.org/keywords/pancreatic-ductal-adenocarcinoma","display_name":"Pancreatic ductal adenocarcinoma","score":0.6021664142608643},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5763717889785767},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5568100214004517},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49665647745132446},{"id":"https://openalex.org/keywords/adenocarcinoma","display_name":"Adenocarcinoma","score":0.4441155195236206},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.38378745317459106},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37276405096054077},{"id":"https://openalex.org/keywords/pancreatic-cancer","display_name":"Pancreatic cancer","score":0.2936697006225586},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.25917837023735046},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.16482889652252197},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.1418740153312683}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8507584929466248},{"id":"https://openalex.org/C2992026798","wikidata":"https://www.wikidata.org/wiki/Q212961","display_name":"Pancreatic ductal adenocarcinoma","level":4,"score":0.6021664142608643},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5763717889785767},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5568100214004517},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49665647745132446},{"id":"https://openalex.org/C2781182431","wikidata":"https://www.wikidata.org/wiki/Q356033","display_name":"Adenocarcinoma","level":3,"score":0.4441155195236206},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.38378745317459106},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37276405096054077},{"id":"https://openalex.org/C2780210213","wikidata":"https://www.wikidata.org/wiki/Q212961","display_name":"Pancreatic cancer","level":3,"score":0.2936697006225586},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.25917837023735046},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.16482889652252197},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.1418740153312683},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1117/12.2291746","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291746","pdf_url":null,"source":{"id":"https://openalex.org/S4306519508","display_name":"Medical Imaging 2018: Computer-Aided Diagnosis","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Computer-Aided Diagnosis","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.tue.nl:openaire_cris_publications/4e22b58c-f6c8-4c0a-8dc9-452e53579dbf","is_oa":false,"landing_page_url":"https://research.tue.nl/en/publications/4e22b58c-f6c8-4c0a-8dc9-452e53579dbf","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":"van der Putten, J, Zinger, S, van der Sommen, F, de With, P H N, Prokop, M & Hermans, J 2018, Quantitative CT based radiomics as predictor of resectability of pancreatic adenocarcinoma. in SPIE.Medical Imaging: Computer-Aided Diagnosis, 10-15 February 2018, Houston, Texas : Computer-Aided Diagnosis., 105753O, Proceedings of SPIE, vol. 10575, SPIE, Bellingham, pp. 1-12, SPIE Medical Imaging 2018, Houston, Texas, United States, 10/02/18. https://doi.org/10.1117/12.2291746","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:tue:oai:pure.tue.nl:publications/4e22b58c-f6c8-4c0a-8dc9-452e53579dbf","is_oa":false,"landing_page_url":"https://research.tue.nl/nl/publications/4e22b58c-f6c8-4c0a-8dc9-452e53579dbf","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":"SPIE.Medical Imaging: Computer-Aided Diagnosis, 10-15 February 2018, Houston, Texas: Computer-Aided Diagnosis, 1 - 12","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W180662894","https://openalex.org/W1906182963","https://openalex.org/W2003304826","https://openalex.org/W2003452708","https://openalex.org/W2034285788","https://openalex.org/W2044465660","https://openalex.org/W2050206309","https://openalex.org/W2052507258","https://openalex.org/W2080985235","https://openalex.org/W2101374499","https://openalex.org/W2103510102","https://openalex.org/W2125267022","https://openalex.org/W2125627166","https://openalex.org/W2154823510","https://openalex.org/W2158619067","https://openalex.org/W2163808566","https://openalex.org/W2169336387","https://openalex.org/W2185252566","https://openalex.org/W2256782633","https://openalex.org/W2292393287","https://openalex.org/W2335370239","https://openalex.org/W2514628397","https://openalex.org/W2551614159","https://openalex.org/W2602747466","https://openalex.org/W3188866652","https://openalex.org/W6607395394","https://openalex.org/W6633658626","https://openalex.org/W6639818597","https://openalex.org/W6661388477","https://openalex.org/W6675549587","https://openalex.org/W6678943175","https://openalex.org/W6692147846","https://openalex.org/W6703228188","https://openalex.org/W6726028339","https://openalex.org/W6729425918","https://openalex.org/W6735476551"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4379982369","https://openalex.org/W4379982343","https://openalex.org/W4379982317","https://openalex.org/W4386159726"],"abstract_inverted_index":{"In":[0,22],"current":[1],"clinical":[2],"practice,":[3],"the":[4,107,118],"resectability":[5,33,154],"of":[6,32,34,54,63,153],"pancreatic":[7],"ductal":[8],"adenocarcinoma":[9],"(PDA)":[10],"is":[11,18,142],"determined":[12],"subjec-tively":[13],"by":[14,77,158],"a":[15,27,37,52,78,139],"physician,":[16],"which":[17,64,141],"an":[19,83],"error-prone":[20],"procedure.":[21],"this":[23],"paper,":[24],"we":[25],"present":[26,82],"method":[28,122],"for":[29,144],"automated":[30],"determination":[31],"PDA":[35],"from":[36,51],"routine":[38],"abdominal":[39],"CT,":[40],"to":[41,92,113,138],"reduce":[42],"such":[43],"decision":[44],"errors.":[45],"The":[46,72,96],"tumor":[47,73,94],"features":[48,91],"are":[49,75,100],"extracted":[50],"group":[53],"patients":[55],"with":[56,102],"both":[57],"hypo-":[58],"A":[59],"nd":[60],"iso-attenuating":[61],"tumors,":[62],"29":[65],"were":[66,70],"resectable":[67],"and":[68,89,106],"21":[69],"not.":[71],"contours":[74],"supplied":[76],"medical":[79],"expert.":[80],"We":[81,127],"approach":[84],"that":[85],"uses":[86],"intensity,":[87],"shape,":[88],"texture":[90],"determine":[93],"resectability.":[95],"best":[97],"classification":[98,125],"results":[99,131],"obtained":[101],"fine":[103],"Gaussian":[104],"SVM":[105],"L0":[108],"Feature":[109],"Selection":[110],"algorithms.":[111],"Compared":[112],"expert":[114,156],"predictions":[115,152,157],"made":[116],"on":[117,132],"same":[119],"dataset,":[120],"our":[121,151],"achieves":[123],"better":[124,130],"results.":[126],"obtain":[128],"significantly":[129],"correctly":[133],"predicting":[134],"non-resectability":[135],"(+17%)":[136],"compared":[137],"expert,":[140],"essential":[143],"patient":[145],"treatment":[146],"(negative":[147],"prediction":[148,162],"value).":[149,163],"Moreover,":[150],"exceed":[155],"approximately":[159],"3%":[160],"(positive":[161]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}
