{"id":"https://openalex.org/W2310068251","doi":"https://doi.org/10.1117/12.2216809","title":"Quantitative imaging features to predict cancer status in lung nodules","display_name":"Quantitative imaging features to predict cancer status in lung nodules","publication_year":2016,"publication_date":"2016-03-24","ids":{"openalex":"https://openalex.org/W2310068251","doi":"https://doi.org/10.1117/12.2216809","mag":"2310068251"},"language":"en","primary_location":{"id":"doi:10.1117/12.2216809","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216809","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/A5101655548","display_name":"Ying Liu","orcid":"https://orcid.org/0009-0004-1136-9134"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]},{"id":"https://openalex.org/I2802573037","display_name":"Tianjin Medical University Cancer Institute and Hospital","ror":"https://ror.org/0152hn881","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802573037"]}],"countries":["CN","US"],"is_corresponding":true,"raw_author_name":"Ying Liu","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. and Research Institute (United States)","Tianjin Medical Univ. Cancer Institute and Hospital (China)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. and Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]},{"raw_affiliation_string":"Tianjin Medical Univ. Cancer Institute and Hospital (China)","institution_ids":["https://openalex.org/I2802573037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004434800","display_name":"Yoganand Balagurunathan","orcid":"https://orcid.org/0000-0002-5598-4727"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoganand Balagurunathan","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. and Research Institute (United States)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. and Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088975785","display_name":"Thomas Atwater","orcid":null},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Atwater","raw_affiliation_strings":["Vanderbilt Univ. School of Medicine (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. School of Medicine (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108136531","display_name":"Sanja Antic","orcid":"https://orcid.org/0000-0002-6948-8003"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanja Antic","raw_affiliation_strings":["Vanderbilt Univ. School of Medicine (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. School of Medicine (United States)","institution_ids":["https://openalex.org/I200719446"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340659","display_name":"Qian Li","orcid":"https://orcid.org/0000-0003-2183-1842"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]},{"id":"https://openalex.org/I2802573037","display_name":"Tianjin Medical University Cancer Institute and Hospital","ror":"https://ror.org/0152hn881","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2802573037"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Qian Li","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. and Research Institute (United States)","Tianjin Medical Univ. Cancer Institute and Hospital (China)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. and Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]},{"raw_affiliation_string":"Tianjin Medical Univ. Cancer Institute and Hospital (China)","institution_ids":["https://openalex.org/I2802573037"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067094324","display_name":"Ronald C. Walker","orcid":"https://orcid.org/0000-0003-2470-6764"},"institutions":[{"id":"https://openalex.org/I2799886695","display_name":"Veterans Health Administration","ror":"https://ror.org/05eq41471","country_code":"US","type":"government","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695"]},{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald Walker","raw_affiliation_strings":["Vanderbilt Univ. School of Medicine (United States)","Veterans Affairs Medical Ctr. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. School of Medicine (United States)","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Veterans Affairs Medical Ctr. (United States)","institution_ids":["https://openalex.org/I2799886695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102786686","display_name":"Gary T. Smith","orcid":"https://orcid.org/0000-0002-9235-4564"},"institutions":[{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]},{"id":"https://openalex.org/I2799886695","display_name":"Veterans Health Administration","ror":"https://ror.org/05eq41471","country_code":"US","type":"government","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gary T. Smith","raw_affiliation_strings":["Vanderbilt Univ. School of Medicine (United States)","Veterans Affairs Medical Ctr. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. School of Medicine (United States)","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Veterans Affairs Medical Ctr. (United States)","institution_ids":["https://openalex.org/I2799886695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061560898","display_name":"Pierre P. Massion","orcid":"https://orcid.org/0000-0003-0647-0559"},"institutions":[{"id":"https://openalex.org/I2799886695","display_name":"Veterans Health Administration","ror":"https://ror.org/05eq41471","country_code":"US","type":"government","lineage":["https://openalex.org/I1322918889","https://openalex.org/I2799886695"]},{"id":"https://openalex.org/I200719446","display_name":"Vanderbilt University","ror":"https://ror.org/02vm5rt34","country_code":"US","type":"education","lineage":["https://openalex.org/I200719446"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pierre P. Massion","raw_affiliation_strings":["Vanderbilt Univ. School of Medicine (United States)","Veterans Affairs Medical Ctr. (United States)"],"affiliations":[{"raw_affiliation_string":"Vanderbilt Univ. School of Medicine (United States)","institution_ids":["https://openalex.org/I200719446"]},{"raw_affiliation_string":"Veterans Affairs Medical Ctr. (United States)","institution_ids":["https://openalex.org/I2799886695"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066835564","display_name":"Matthew B. Schabath","orcid":"https://orcid.org/0000-0003-3241-3216"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew B. Schabath","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. and Research Institute (United States)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. and Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082346230","display_name":"Robert J. Gillies","orcid":"https://orcid.org/0000-0002-8888-7747"},"institutions":[{"id":"https://openalex.org/I3019308854","display_name":"Moffitt Cancer Center","ror":"https://ror.org/01xf75524","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I3019308854"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Robert J. Gillies","raw_affiliation_strings":["H. Lee Moffitt Cancer Ctr. and Research Institute (United States)"],"affiliations":[{"raw_affiliation_string":"H. Lee Moffitt Cancer Ctr. and Research Institute (United States)","institution_ids":["https://openalex.org/I3019308854"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5101655548"],"corresponding_institution_ids":["https://openalex.org/I2802573037","https://openalex.org/I3019308854"],"apc_list":null,"apc_paid":null,"fwci":0.2502,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61312011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"9787","issue":null,"first_page":"97870L","last_page":"97870L"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":1.0,"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":1.0,"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":0.9994999766349792,"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":0.9922000169754028,"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/lung-cancer","display_name":"Lung cancer","score":0.7024226188659668},{"id":"https://openalex.org/keywords/malignancy","display_name":"Malignancy","score":0.6166371703147888},{"id":"https://openalex.org/keywords/youdens-j-statistic","display_name":"Youden's J statistic","score":0.6071491837501526},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.46780896186828613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45471900701522827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40513819456100464},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3979087173938751},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.35328590869903564},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.24707332253456116},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.15703052282333374}],"concepts":[{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.7024226188659668},{"id":"https://openalex.org/C2779399171","wikidata":"https://www.wikidata.org/wiki/Q1483951","display_name":"Malignancy","level":2,"score":0.6166371703147888},{"id":"https://openalex.org/C43346845","wikidata":"https://www.wikidata.org/wiki/Q8057732","display_name":"Youden's J statistic","level":3,"score":0.6071491837501526},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.46780896186828613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45471900701522827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40513819456100464},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3979087173938751},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.35328590869903564},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.24707332253456116},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.15703052282333374}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2216809","is_oa":false,"landing_page_url":"https://doi.org/10.1117/12.2216809","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":[{"id":"https://metadata.un.org/sdg/10","score":0.75,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W130099911","https://openalex.org/W1952602278","https://openalex.org/W1967751473","https://openalex.org/W2025974957","https://openalex.org/W2107692993","https://openalex.org/W2121065137","https://openalex.org/W2126901657","https://openalex.org/W2134701276","https://openalex.org/W2161326860","https://openalex.org/W2189916683","https://openalex.org/W4285719527","https://openalex.org/W6633658626","https://openalex.org/W6640724885"],"related_works":["https://openalex.org/W2157758999","https://openalex.org/W2364996258","https://openalex.org/W2898416359","https://openalex.org/W2978337663","https://openalex.org/W3124804944","https://openalex.org/W52484821","https://openalex.org/W2515228867","https://openalex.org/W2012526792","https://openalex.org/W2415320528","https://openalex.org/W2011368309"],"abstract_inverted_index":{"<i>Background</i>:":[0],"We":[1,35,57],"propose":[2],"a":[3,18,59],"systematic":[4],"methodology":[5],"to":[6,28,67,73,85],"quantify":[7],"incidentally":[8],"identified":[9],"lung":[10,78,153],"nodules":[11],"based":[12,89],"on":[13,17,90,115],"observed":[14],"radiological":[15,145],"traits":[16,23,50,147],"point":[19],"scale.":[20],"These":[21,155],"quantitative":[22],"classification":[24],"model":[25],"was":[26,88],"used":[27,36],"predict":[29],"cancer":[30],"status.":[31],"<i>Materials":[32],"and":[33,94,125],"Methods</i>:":[34],"102":[37],"patients\u2019":[38],"low":[39],"dose":[40],"computed":[41],"tomography":[42],"(LDCT)":[43],"images":[44],"for":[45],"this":[46],"study,":[47],"24":[48],"semantic":[49,112,156],"were":[51],"systematically":[52],"scored":[53],"from":[54,76,151],"each":[55],"image.":[56],"built":[58],"machine":[60],"learning":[61],"classifier":[62],"in":[63],"cross":[64],"validation":[65],"setting":[66],"find":[68],"best":[69,82],"predictive":[70],"imaging":[71],"features":[72,157],"differentiate":[74,149],"malignant":[75,150],"benign":[77,152],"nodules.":[79,154],"<i>Results</i>:":[80],"The":[81],"feature":[83],"triplet":[84,113],"discriminate":[86],"malignancy":[87],"long":[91,121],"axis,":[92,122],"concavity":[93],"lymphadenopathy":[95,126],"with":[96,159],"average":[97,130],"AUC":[98,131],"of":[99,102,105,108,132,135,138,141],"0.897":[100],"(Accuracy":[101,134],"76.8%,":[103],"Sensitivity":[104,137],"64.3%,":[106],"Specificity":[107,140],"90%).":[109],"A":[110],"similar":[111],"optimized":[114],"Sensitivity/Specificity":[116],"(Youden\u2019s":[117],"J":[118],"index)":[119],"included":[120],"vascular":[123],"convergence":[124],"which":[127],"had":[128],"an":[129],"0.875":[133],"81.7%,":[136],"76.2%,":[139],"95%).":[142],"<i>Conclusions</i>:":[143],"Quantitative":[144],"image":[146],"can":[148],"along":[158],"size":[160],"measurement":[161],"enhance":[162],"the":[163],"prediction":[164],"accuracy.":[165]},"counts_by_year":[{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
