{"id":"https://openalex.org/W2553731105","doi":"https://doi.org/10.1117/12.2081617","title":"Exploring new quantitative CT image features to improve assessment of lung cancer prognosis","display_name":"Exploring new quantitative CT image features to improve assessment of lung cancer prognosis","publication_year":2015,"publication_date":"2015-03-20","ids":{"openalex":"https://openalex.org/W2553731105","doi":"https://doi.org/10.1117/12.2081617","mag":"2553731105"},"language":"en","primary_location":{"id":"doi:10.1117/12.2081617","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081617","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","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/A5039670547","display_name":"Nastaran Emaminejad","orcid":"https://orcid.org/0000-0002-4726-1481"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Nastaran Emaminejad","raw_affiliation_strings":["The Univ. of Oklahoma (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374757","display_name":"Wei Qian","orcid":"https://orcid.org/0000-0002-9563-721X"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Qian","raw_affiliation_strings":["The Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102007923","display_name":"Yan Kang","orcid":"https://orcid.org/0000-0003-2476-4921"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yan Kang","raw_affiliation_strings":["Northeastern Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Northeastern Univ. (China)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102193640","display_name":"Yubao Guan","orcid":null},"institutions":[{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubao Guan","raw_affiliation_strings":["Guangzhou Medical Univ. (China)"],"affiliations":[{"raw_affiliation_string":"Guangzhou Medical Univ. (China)","institution_ids":["https://openalex.org/I92039509"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013485575","display_name":"Fleming Lure","orcid":"https://orcid.org/0000-0001-5655-6831"},"institutions":[{"id":"https://openalex.org/I164936912","display_name":"The University of Texas at El Paso","ror":"https://ror.org/04d5vba33","country_code":"US","type":"education","lineage":["https://openalex.org/I164936912"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fleming Lure","raw_affiliation_strings":["The Univ. of Texas at El Paso (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Texas at El Paso (United States)","institution_ids":["https://openalex.org/I164936912"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045998635","display_name":"Bin Zheng","orcid":"https://orcid.org/0000-0002-7682-6648"},"institutions":[{"id":"https://openalex.org/I8692664","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83","country_code":"US","type":"education","lineage":["https://openalex.org/I8692664"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bin Zheng","raw_affiliation_strings":["The Univ. of Oklahoma (United States)"],"affiliations":[{"raw_affiliation_string":"The Univ. of Oklahoma (United States)","institution_ids":["https://openalex.org/I8692664"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5039670547"],"corresponding_institution_ids":["https://openalex.org/I8692664"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.28387898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9414","issue":null,"first_page":"94141M","last_page":"94141M"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996399998664856,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.996399998664856,"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":0.9904000163078308,"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"}},{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.9842000007629395,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.7140076160430908},{"id":"https://openalex.org/keywords/ercc1","display_name":"ERCC1","score":0.590233325958252},{"id":"https://openalex.org/keywords/lung-cancer-screening","display_name":"Lung cancer screening","score":0.5672985315322876},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5167866945266724},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48533907532691956},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.472510427236557},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.45636221766471863},{"id":"https://openalex.org/keywords/computer-aided-diagnosis","display_name":"Computer-aided diagnosis","score":0.4502892792224884},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.4365770220756531},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.41301652789115906},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3940492868423462},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.36287593841552734},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30922311544418335}],"concepts":[{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.7140076160430908},{"id":"https://openalex.org/C2779309665","wikidata":"https://www.wikidata.org/wiki/Q17917256","display_name":"ERCC1","level":5,"score":0.590233325958252},{"id":"https://openalex.org/C2777405583","wikidata":"https://www.wikidata.org/wiki/Q6704277","display_name":"Lung cancer screening","level":3,"score":0.5672985315322876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5167866945266724},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48533907532691956},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.472510427236557},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.45636221766471863},{"id":"https://openalex.org/C2779549770","wikidata":"https://www.wikidata.org/wiki/Q1122413","display_name":"Computer-aided diagnosis","level":2,"score":0.4502892792224884},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.4365770220756531},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.41301652789115906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3940492868423462},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.36287593841552734},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30922311544418335},{"id":"https://openalex.org/C134935766","wikidata":"https://www.wikidata.org/wiki/Q210538","display_name":"DNA repair","level":3,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104451858","wikidata":"https://www.wikidata.org/wiki/Q2714458","display_name":"Nucleotide excision repair","level":4,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2081617","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2081617","pdf_url":null,"source":{"id":"https://openalex.org/S183492911","display_name":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","issn_l":"0277-786X","issn":["0277-786X","1996-756X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315543","host_organization_name":"SPIE","host_organization_lineage":["https://openalex.org/P4310315543"],"host_organization_lineage_names":["SPIE"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SPIE Proceedings","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320310179","display_name":"University of Oklahoma","ror":"https://ror.org/02aqsxs83"},{"id":"https://openalex.org/F4320315709","display_name":"Tobacco Settlement Endowment Trust","ror":null},{"id":"https://openalex.org/F4320333795","display_name":"Stephenson Cancer Center","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W50569078","https://openalex.org/W596594648","https://openalex.org/W1570448133","https://openalex.org/W1973870205","https://openalex.org/W1981097495","https://openalex.org/W2000971074","https://openalex.org/W2004718750","https://openalex.org/W2007149996","https://openalex.org/W2019607817","https://openalex.org/W2024533694","https://openalex.org/W2026088242","https://openalex.org/W2041111989","https://openalex.org/W2045359905","https://openalex.org/W2061278019","https://openalex.org/W2095618958","https://openalex.org/W2119192062","https://openalex.org/W2125041551","https://openalex.org/W2126901657","https://openalex.org/W2131148034","https://openalex.org/W2137779110","https://openalex.org/W2139564441","https://openalex.org/W2141128443","https://openalex.org/W2141891144","https://openalex.org/W2148143831","https://openalex.org/W2148464027","https://openalex.org/W2158638791","https://openalex.org/W2161430726","https://openalex.org/W4239851916","https://openalex.org/W6634094483","https://openalex.org/W6657075321"],"related_works":["https://openalex.org/W1975088494","https://openalex.org/W1559016842","https://openalex.org/W126886149","https://openalex.org/W2075500913","https://openalex.org/W2155484722","https://openalex.org/W2085546635","https://openalex.org/W2131348261","https://openalex.org/W3107072728","https://openalex.org/W3096286885","https://openalex.org/W2426130016"],"abstract_inverted_index":{"Due":[0],"to":[1,55,64,74,82,142,189,198],"the":[2,28,84,96,101,110,122,191,208,220,232],"promotion":[3],"of":[4,27,44,70,86,90,121,171,193,234,237],"lung":[5,12,87,97,144],"cancer":[6,31,66,88,98,194,239],"screening,":[7],"more":[8,57],"Stage":[9,48,91,204],"I":[10,49,92,205],"non-small-cell":[11],"cancers":[13],"(NSCLC)":[14],"are":[15],"currently":[16],"detected,":[17],"which":[18,35],"usually":[19],"have":[20,30],"favorable":[21],"prognosis.":[22,67],"However,":[23],"a":[24,76,114,136,160,169,183,199,245],"high":[25],"percentage":[26],"patients":[29,94],"recurrence":[32,89,242],"after":[33,95],"surgery,":[34],"reduces":[36],"overall":[37],"survival":[38],"rate.":[39],"To":[40],"achieve":[41],"optimal":[42],"efficacy":[43],"treating":[45],"and":[46,59,108,134,146,152,174,216,225],"managing":[47],"NSCLC":[50,93,206],"patients,":[51],"it":[52],"is":[53,73],"important":[54],"develop":[56],"accurate":[58],"reliable":[60],"biomarkers":[61],"or":[62,241],"tools":[63],"predict":[65,83,190],"The":[68,228],"purpose":[69],"this":[71,130],"study":[72,229],"investigate":[75],"new":[77,137],"quantitative":[78,221,247],"image":[79,176,222,248],"analysis":[80,249],"method":[81],"risk":[85,192,243],"surgery":[99],"using":[100,219,244],"conventional":[102],"chest":[103],"computed":[104,209],"tomography":[105],"(CT)":[106],"images":[107],"compare":[109],"prediction":[111],"result":[112],"with":[113,202],"popular":[115],"genetic":[116],"biomarker":[117],"namely,":[118],"protein":[119],"expression":[120],"<i>excision":[123],"repair":[124],"cross-complementing":[125],"1</i>":[126],"(ERCC1)":[127],"genes.":[128],"In":[129],"study,":[131],"we":[132,167,181],"developed":[133],"tested":[135],"computer-aided":[138],"detection":[139],"(CAD)":[140],"scheme":[141],"segment":[143],"tumors":[145],"initially":[147],"compute":[148],"35":[149],"tumor-related":[150],"morphologic":[151],"texture":[153],"features":[154,180],"from":[155],"CT":[156],"images.":[157],"By":[158],"applying":[159,197],"machine":[161],"learning":[162],"based":[163,187,223],"feature":[164],"selection":[165],"method,":[166],"identified":[168],"set":[170],"8":[172],"effective":[173],"non-redundant":[175],"features.":[177],"Using":[178],"these":[179],"trained":[182],"na\u00efve":[184],"Bayesian":[185],"network":[186],"classifier":[188,224],"recurrence.":[195],"When":[196],"test":[200],"dataset":[201],"79":[203],"cases,":[207],"areas":[210],"under":[211],"ROC":[212],"curves":[213],"were":[214],"0.77\u00b10.06":[215],"0.63\u00b10.07":[217],"when":[218],"ERCC1,":[226],"respectively.":[227],"results":[230],"demonstrated":[231],"feasibility":[233],"improving":[235],"accuracy":[236],"predicting":[238],"prognosis":[240],"CAD-based":[246],"method.":[250]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
