{"id":"https://openalex.org/W2793387658","doi":"https://doi.org/10.1117/12.2291968","title":"A competing round-robin prediction model for histologic subtype prediction of lung adenocarcinomas based on thoracic computed tomography","display_name":"A competing round-robin prediction model for histologic subtype prediction of lung adenocarcinomas based on thoracic computed tomography","publication_year":2018,"publication_date":"2018-03-12","ids":{"openalex":"https://openalex.org/W2793387658","doi":"https://doi.org/10.1117/12.2291968","mag":"2793387658"},"language":"en","primary_location":{"id":"doi:10.1117/12.2291968","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","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/A5100625779","display_name":"Li-Wei Chen","orcid":"https://orcid.org/0000-0002-3618-0256"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Li Wei Chen","raw_affiliation_strings":["National Taiwan Univ. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. (Taiwan)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038309702","display_name":"Shun\u2010Mao Yang","orcid":"https://orcid.org/0000-0001-6129-627X"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]},{"id":"https://openalex.org/I4210131804","display_name":"National Taiwan University Hospital","ror":"https://ror.org/03nteze27","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210131804"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Shun-Mao Yang","raw_affiliation_strings":["National Taiwan Univ. (Taiwan)","National Taiwan Univ. Hospital (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. (Taiwan)","institution_ids":["https://openalex.org/I16733864"]},{"raw_affiliation_string":"National Taiwan Univ. Hospital (Taiwan)","institution_ids":["https://openalex.org/I4210131804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034895335","display_name":"Hao-Jen Wang","orcid":"https://orcid.org/0000-0001-5977-3874"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hao-Jen Wang","raw_affiliation_strings":["National Taiwan Univ. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. (Taiwan)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101981950","display_name":"Chung\u2010Ming Chen","orcid":"https://orcid.org/0000-0002-0023-5817"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Ming Chen","raw_affiliation_strings":["National Taiwan Univ. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. (Taiwan)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002765960","display_name":"Mong\u2010Wei Lin","orcid":"https://orcid.org/0000-0003-1268-3729"},"institutions":[{"id":"https://openalex.org/I4210131804","display_name":"National Taiwan University Hospital","ror":"https://ror.org/03nteze27","country_code":"TW","type":"healthcare","lineage":["https://openalex.org/I4210131804"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Mong-Wei Lin","raw_affiliation_strings":["National Taiwan Univ. Hospital (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. Hospital (Taiwan)","institution_ids":["https://openalex.org/I4210131804"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051400462","display_name":"Fu-Sheng Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fu-Sheng Hsu","raw_affiliation_strings":["National Taiwan Univ. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. (Taiwan)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088242846","display_name":"Leng-Rong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Leng-Rong Chen","raw_affiliation_strings":["National Taiwan Univ. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. (Taiwan)","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075682633","display_name":"Chia\u2010Chen Li","orcid":"https://orcid.org/0000-0001-9336-2972"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chia-Chen Li","raw_affiliation_strings":["National Taiwan Univ. (Taiwan)"],"affiliations":[{"raw_affiliation_string":"National Taiwan Univ. (Taiwan)","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100625779"],"corresponding_institution_ids":["https://openalex.org/I16733864"],"apc_list":null,"apc_paid":null,"fwci":0.1817,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.53889844,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"94","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"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":0.9995999932289124,"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/T10522","display_name":"Medical Imaging Techniques and Applications","score":0.9887999892234802,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computed-tomography","display_name":"Computed tomography","score":0.5113062858581543},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5008001327514648},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4576908051967621},{"id":"https://openalex.org/keywords/lung","display_name":"Lung","score":0.4543832540512085},{"id":"https://openalex.org/keywords/computed-tomographic","display_name":"Computed tomographic","score":0.4524790048599243},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.44625669717788696},{"id":"https://openalex.org/keywords/biopsy","display_name":"Biopsy","score":0.4392678737640381},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.3342859148979187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3337917923927307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2260323464870453},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.15386289358139038}],"concepts":[{"id":"https://openalex.org/C544519230","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomography","level":2,"score":0.5113062858581543},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5008001327514648},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4576908051967621},{"id":"https://openalex.org/C2777714996","wikidata":"https://www.wikidata.org/wiki/Q7886","display_name":"Lung","level":2,"score":0.4543832540512085},{"id":"https://openalex.org/C2985771010","wikidata":"https://www.wikidata.org/wiki/Q32566","display_name":"Computed tomographic","level":3,"score":0.4524790048599243},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.44625669717788696},{"id":"https://openalex.org/C2775934546","wikidata":"https://www.wikidata.org/wiki/Q179991","display_name":"Biopsy","level":2,"score":0.4392678737640381},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.3342859148979187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3337917923927307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2260323464870453},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15386289358139038}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2291968","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2291968","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2018: Biomedical Applications in Molecular, Structural, and Functional Imaging","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1753190851","https://openalex.org/W1997436255","https://openalex.org/W2032995263","https://openalex.org/W2041476766","https://openalex.org/W2049674541","https://openalex.org/W2131155773","https://openalex.org/W2133370155","https://openalex.org/W2170712005","https://openalex.org/W2592237903","https://openalex.org/W4240487784","https://openalex.org/W6684681065","https://openalex.org/W6734087263"],"related_works":["https://openalex.org/W1998077557","https://openalex.org/W2378002246","https://openalex.org/W2114610484","https://openalex.org/W2055807851","https://openalex.org/W34499156","https://openalex.org/W1993433274","https://openalex.org/W2785066663","https://openalex.org/W2418600460","https://openalex.org/W2405530493","https://openalex.org/W25884120"],"abstract_inverted_index":{"Adenocarcinomas":[0],"(ADC)":[1],"is":[2,13,58,117,150],"the":[3,16,20,23,34,41,47,50,64,79,82,91,103,108,118,135,151,163,186,231],"major":[4],"subtype":[5],"of":[6,22,30,49,55,67,85,111,138,154,165,189,194,204,207,213,216,237,244],"non-small":[7],"cell":[8],"lung":[9,159],"cancers.":[10],"Currently,":[11],"surgery":[12],"used":[14,121],"as":[15],"main":[17],"approach":[18],"for":[19,202,211],"treatment":[21],"early-stage":[24],"ADCs.":[25],"However,":[26,97],"different":[27,124],"histological":[28,65,83,187,242],"subtypes":[29,57,66,84,125,143,156,188,217,243],"ADC":[31,56,112],"classified":[32],"by":[33,76],"IASLC/ATS/ERS":[35],"system":[36],"may":[37,69,87,161],"potentially":[38],"impact":[39],"on":[40,102,134,227],"surgical":[42],"management,":[43],"which":[44,191],"subsequently":[45],"influence":[46],"prognosis":[48],"surgery.":[51,80],"Thus,":[52],"preoperative":[53],"determination":[54],"essential":[59],"and":[60,221],"highly":[61],"desirable.":[62],"Nevertheless,":[63],"ADCs":[68,86,229],"be":[70,88,127],"either":[71],"unknown":[72],"or":[73],"incompletely":[74],"determined":[75],"biopsy":[77],"before":[78],"Alternatively,":[81],"predicted":[89],"from":[90],"pulmonary":[92],"computed":[93],"tomographic":[94],"(CT)":[95],"images.":[96],"previous":[98],"studies":[99],"showed":[100],"limitations":[101],"prediction":[104,180],"results":[105],"due":[106],"to":[107,122,140,169,184],"complex":[109,152,214],"composition":[110,153,215],"subtypes.":[113],"One":[114],"possible":[115,148],"reason":[116,149],"radiomic":[119,167,200],"descriptors":[120,139,168,201,210],"differentiate":[123],"could":[126],"very":[128],"different.":[129],"The":[130],"conventional":[131],"approaches":[132],"based":[133],"same":[136],"set":[137],"distinguish":[141],"all":[142],"are":[144],"inherently":[145],"infeasible.":[146],"Another":[147],"multiple":[155],"in":[157,218,239],"a":[158,177,219,222],"nodule":[160],"hinder":[162],"extraction":[164],"effective":[166],"characterize":[170],"each":[171],"subtype.":[172],"To":[173],"overcome":[174],"these":[175],"challenges,":[176],"competing":[178],"round-robin":[179,224],"model":[181,233],"was":[182,192],"proposed":[183,232],"predict":[185],"ADCs,":[190],"composed":[193],"three":[195],"key":[196],"ideas,":[197],"namely,":[198],"pair-specific":[199],"differentiation":[203],"every":[205],"pair":[206],"subtypes,":[208],"inter-regional":[209],"characterization":[212],"nodule,":[220],"multi-level":[223],"classifier.":[225],"Based":[226],"70":[228],"patients,":[230],"achieved":[234],"an":[235],"accuracy":[236],"86.3&percnt;":[238],"predicting":[240],"five":[241],"adenocarcinomas.":[245]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
