{"id":"https://openalex.org/W7142170604","doi":"https://doi.org/10.1155/int/1564250","title":"Combining Clinical Characteristics With CTA Radiomics for Predicting Intracranial Aneurysm Rupture Status","display_name":"Combining Clinical Characteristics With CTA Radiomics for Predicting Intracranial Aneurysm Rupture Status","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7142170604","doi":"https://doi.org/10.1155/int/1564250"},"language":"en","primary_location":{"id":"doi:10.1155/int/1564250","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/1564250","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1155/int/1564250","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5130850525","display_name":"Ye Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Shi","raw_affiliation_strings":["School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn"],"raw_orcid":"https://orcid.org/0009-0006-7327-7141","affiliations":[{"raw_affiliation_string":"School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Peipei Wang","orcid":"https://orcid.org/0000-0002-1830-8009"},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]},{"id":"https://openalex.org/I4210114245","display_name":"Anhui Business College","ror":"https://ror.org/02d0cgn19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210114245"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipei Wang","raw_affiliation_strings":["Anhui Province High-Quality Dataset Construction Base for Smart Healthcare ,  Wuhu , Anhui,  241002 ,  China","School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn"],"raw_orcid":"https://orcid.org/0000-0002-1830-8009","affiliations":[{"raw_affiliation_string":"Anhui Province High-Quality Dataset Construction Base for Smart Healthcare ,  Wuhu , Anhui,  241002 ,  China","institution_ids":["https://openalex.org/I4210114245"]},{"raw_affiliation_string":"School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130850828","display_name":"Mingquan Ye","orcid":null},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]},{"id":"https://openalex.org/I4210114245","display_name":"Anhui Business College","ror":"https://ror.org/02d0cgn19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210114245"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingquan Ye","raw_affiliation_strings":["Anhui Province High-Quality Dataset Construction Base for Smart Healthcare ,  Wuhu , Anhui,  241002 ,  China","School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn"],"raw_orcid":"https://orcid.org/0000-0002-0237-4159","affiliations":[{"raw_affiliation_string":"Anhui Province High-Quality Dataset Construction Base for Smart Healthcare ,  Wuhu , Anhui,  241002 ,  China","institution_ids":["https://openalex.org/I4210114245"]},{"raw_affiliation_string":"School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130853771","display_name":"Aiping Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiping Wu","raw_affiliation_strings":["School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn"],"raw_orcid":"https://orcid.org/0009-0006-5313-897X","affiliations":[{"raw_affiliation_string":"School of Medical Information ,  Wannan Medical College ,  Wuhu , Anhui,  241002 ,  China ,  wnmc.edu.cn","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5130857680","display_name":"Yunfeng Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I4210167381","display_name":"First Affiliated Hospital of Wannan Medical College","ror":"https://ror.org/05wbpaf14","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210167381"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Zhou","raw_affiliation_strings":["Department of Radiology ,  The First Affiliated Hospital of Wannan Medical College , No. 2 Zheshan West St,  Wuhu ,  241001 ,  China ,  wnmc.edu.cn"],"raw_orcid":"https://orcid.org/0000-0001-5260-3071","affiliations":[{"raw_affiliation_string":"Department of Radiology ,  The First Affiliated Hospital of Wannan Medical College , No. 2 Zheshan West St,  Wuhu ,  241001 ,  China ,  wnmc.edu.cn","institution_ids":["https://openalex.org/I4210167381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5130850828"],"corresponding_institution_ids":["https://openalex.org/I100357981","https://openalex.org/I4210114245"],"apc_list":{"value":2700,"currency":"USD","value_usd":2700},"apc_paid":{"value":2700,"currency":"USD","value_usd":2700},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28923683,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2026","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T10420","display_name":"Intracranial Aneurysms: Treatment and Complications","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11251","display_name":"Meningioma and schwannoma management","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11402","display_name":"Vascular Malformations Diagnosis and Treatment","score":0.002199999988079071,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.8508999943733215},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.730400025844574},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.652899980545044},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6498000025749207},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.6460000276565552},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5745000243186951},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5458999872207642},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.4934000074863434},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.487199991941452}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8508999943733215},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.730400025844574},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.652899980545044},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6498000025749207},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.6460000276565552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6414999961853027},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5745000243186951},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5458999872207642},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5313000082969666},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4934000074863434},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.487199991941452},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.48260000348091125},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45019999146461487},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43779999017715454},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4262000024318695},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C2781347138","wikidata":"https://www.wikidata.org/wiki/Q1024492","display_name":"Computed tomography angiography","level":3,"score":0.42489999532699585},{"id":"https://openalex.org/C2780643987","wikidata":"https://www.wikidata.org/wiki/Q468414","display_name":"Angiography","level":2,"score":0.3702999949455261},{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.36820000410079956},{"id":"https://openalex.org/C2776098176","wikidata":"https://www.wikidata.org/wiki/Q189389","display_name":"Aneurysm","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.31929999589920044},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2906999886035919},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2667999863624573},{"id":"https://openalex.org/C163716698","wikidata":"https://www.wikidata.org/wiki/Q841267","display_name":"Tomography","level":2,"score":0.26589998602867126},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C3020225094","wikidata":"https://www.wikidata.org/wiki/Q80091","display_name":"Area under curve","level":3,"score":0.2621000111103058},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1155/int/1564250","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/1564250","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1155/int/1564250","is_oa":true,"landing_page_url":"https://doi.org/10.1155/int/1564250","pdf_url":null,"source":{"id":"https://openalex.org/S57950554","display_name":"International Journal of Intelligent Systems","issn_l":"0884-8173","issn":["0884-8173","1098-111X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7172696590423584}],"awards":[{"id":"https://openalex.org/G1298185459","display_name":null,"funder_award_id":"2022a05020011","funder_id":"https://openalex.org/F4320336578","funder_display_name":"Anhui Provincial Key Research and Development Plan"},{"id":"https://openalex.org/G1619576865","display_name":null,"funder_award_id":"22YJAZH134","funder_id":"https://openalex.org/F4320335982","funder_display_name":"Humanities and Social Science Fund of Ministry of Education of China"},{"id":"https://openalex.org/G3709716288","display_name":null,"funder_award_id":"62402343","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335982","display_name":"Humanities and Social Science Fund of Ministry of Education of China","ror":null},{"id":"https://openalex.org/F4320336578","display_name":"Anhui Provincial Key Research and Development Plan","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1207446481","https://openalex.org/W2088794999","https://openalex.org/W2107540467","https://openalex.org/W2163466561","https://openalex.org/W2588311600","https://openalex.org/W2609477949","https://openalex.org/W2958889713","https://openalex.org/W2979417482","https://openalex.org/W3014017089","https://openalex.org/W3024333932","https://openalex.org/W3081692890","https://openalex.org/W3103504331","https://openalex.org/W3135387830","https://openalex.org/W3138639953","https://openalex.org/W3141537781","https://openalex.org/W3160412534","https://openalex.org/W3161335554","https://openalex.org/W3171831654","https://openalex.org/W3183637089","https://openalex.org/W4200042752","https://openalex.org/W4212875960","https://openalex.org/W4284975063","https://openalex.org/W4292833494","https://openalex.org/W4293240757","https://openalex.org/W4306860884","https://openalex.org/W4312428231","https://openalex.org/W4320483443","https://openalex.org/W4321352078","https://openalex.org/W4322724513","https://openalex.org/W4323357155","https://openalex.org/W4360796946","https://openalex.org/W4366821838","https://openalex.org/W4384159609","https://openalex.org/W4402661569","https://openalex.org/W4404394249","https://openalex.org/W4406416993","https://openalex.org/W4407830391","https://openalex.org/W4408253011","https://openalex.org/W4408304312","https://openalex.org/W4408348421"],"related_works":[],"abstract_inverted_index":{"Intracranial":[0],"aneurysms":[1,42],"(IAs)":[2],"are":[3],"clinically":[4],"categorized":[5],"as":[6],"ruptured":[7],"or":[8],"unruptured.":[9],"Size":[10],"variability":[11],"complicates":[12],"precise":[13],"segmentation":[14],"and":[15,27,45,83,115,125,139],"rupture":[16,36,108],"assessment.":[17],"This":[18],"study":[19],"integrates":[20],"deep":[21],"learning,":[22,24],"machine":[23,72],"clinical":[25],"characteristics,":[26],"computed":[28],"tomography":[29],"angiography":[30],"(CTA)":[31],"radiomics":[32],"to":[33],"determine":[34],"IA":[35],"status.":[37,109],"A":[38],"dataset":[39],"of":[40,120,134],"443":[41],"(101":[43],"unruptured":[44],"342":[46],"ruptured)":[47],"was":[48],"curated":[49],"from":[50],"affiliated":[51],"hospitals.":[52],"IAs":[53],"were":[54,86,104],"segmented":[55],"via":[56,63,88],"Swin":[57],"UNETR,":[58],"with":[59,107],"radiomic":[60,101],"features":[61],"extracted":[62],"PyRadiomics.":[64],"Following":[65],"dimensionality":[66],"reduction,":[67],"five":[68],"classifiers,":[69],"support":[70],"vector":[71],"(SVM),":[73],"logistic":[74],"regression":[75],"(LR),":[76],"random":[77],"forest":[78],"(RF),":[79],"multilayer":[80],"perceptron":[81],"(MLP),":[82],"voting":[84],"classifier,":[85],"evaluated":[87],"the":[89,92,99,131,135],"area":[90],"under":[91],"receiver":[93],"operating":[94],"characteristic":[95],"curve":[96],"(AUC\u2010ROC).":[97],"Among":[98],"1074":[100],"features,":[102],"25":[103],"significantly":[105],"correlated":[106],"The":[110],"RF,":[111],"voting,":[112],"MLP,":[113],"LR,":[114],"SVM":[116],"classifiers":[117],"achieved":[118],"AUCs":[119],"0.94,":[121],"0.93,":[122],"0.88,":[123,124],"0.84,":[126],"respectively.":[127],"These":[128],"results":[129],"demonstrate":[130],"discriminative":[132],"power":[133],"combined":[136],"t\u2010test,":[137],"LASSO,":[138],"PCA":[140],"feature":[141],"selection":[142],"methods.":[143]},"counts_by_year":[],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2026-03-29T00:00:00"}
