{"id":"https://openalex.org/W2945816023","doi":"https://doi.org/10.1016/s0167-8140(19)31379-9","title":"PO-0959 Robust features selection in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients","display_name":"PO-0959 Robust features selection in Apparent Diffusion Coefficient (ADC) maps of cervix cancer patients","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2945816023","doi":"https://doi.org/10.1016/s0167-8140(19)31379-9","mag":"2945816023"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-8140(19)31379-9","doi":"https://doi.org/10.1016/s0167-8140(19)31379-9","is_oa":true,"landing_page_url":"https://doi.org/10.1016/s0167-8140(19)31379-9","pdf_url":"https://doi.org/10.1016/s0167-8140(19)31379-9","source":{"id":"https://openalex.org/S144507673","display_name":"Radiotherapy and Oncology","issn_l":"0167-8140","issn":["0167-8140","1879-0887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radiotherapy and Oncology","raw_type":"journal-article"},"volume":null,"type":"conference-abstract","is_traditional":false,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/s0167-8140(19)31379-9","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008606043","display_name":"Alberto Traverso","orcid":"https://orcid.org/0000-0001-6183-4429","observed_orcids":["https://orcid.org/0000-0001-6183-4429"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Traverso","raw_affiliation_strings":["Promovendi ODB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Promovendi ODB","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057938768","display_name":"Michal Kazmierski","orcid":"https://orcid.org/0000-0003-1579-7887","observed_orcids":["https://orcid.org/0000-0003-1579-7887"]},"institutions":[{"id":"https://openalex.org/I34352273","display_name":"Maastricht University","ror":"https://ror.org/02jz4aj89","country_code":"NL","type":"education","lineage":["https://openalex.org/I34352273"]},{"id":"https://openalex.org/I4210161616","display_name":"Maastro Clinic","ror":"https://ror.org/059wkzj26","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210161616"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"M. Kazmierski","raw_affiliation_strings":["Maastricht Radiat Oncol Maastro Clin, Maastricht University, Radiotherapy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Maastricht Radiat Oncol Maastro Clin, Maastricht University, Radiotherapy","institution_ids":["https://openalex.org/I34352273","https://openalex.org/I4210161616"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074896286","display_name":"Zhaojuan Shi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Z. Shi","raw_affiliation_strings":["Promovendi ODB"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Promovendi ODB","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072824058","display_name":"Jessica Weiss","orcid":"https://orcid.org/0000-0002-8679-9524","observed_orcids":["https://orcid.org/0000-0002-8679-9524"]},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"J. Weiss","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018154387","display_name":"Sandra Fiset","orcid":"https://orcid.org/0000-0001-5353-9032","observed_orcids":["https://orcid.org/0000-0001-5353-9032"]},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"S. Fiset","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004688031","display_name":"Leonard Wee","orcid":"https://orcid.org/0000-0003-1612-9055","observed_orcids":["https://orcid.org/0000-0003-1612-9055"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"L. Wee","raw_affiliation_strings":["Radiotherapie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radiotherapie","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013513157","display_name":"Andre L.A.J. Dekker","orcid":"https://orcid.org/0000-0002-0422-7996","observed_orcids":["https://orcid.org/0000-0002-0422-7996"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"A. Dekker","raw_affiliation_strings":["Radiotherapie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Radiotherapie","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008048551","display_name":"David Anthony Jaffray","orcid":"https://orcid.org/0000-0001-7378-7543","observed_orcids":["https://orcid.org/0000-0001-7378-7543"]},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"D. Jaffray","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034829322","display_name":"Kathy Chai-Zung Han","orcid":"https://orcid.org/0000-0001-8439-3929","observed_orcids":["https://orcid.org/0000-0001-8439-3929"]},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"K. Han","raw_affiliation_strings":["University of Toronto"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2000,"currency":"USD","value_usd":2000},"apc_paid":{"value":2000,"currency":"USD","value_usd":2000},"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"133","issue":null,"first_page":"S520","last_page":"S521"},"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":0.9994999766349792,"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"}},"topics":[{"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/T11885","display_name":"MRI in cancer diagnosis","score":0.0003000000142492354,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/cervical-cancer","display_name":"cervical cancer","score":0.8420000076293945},{"id":"https://openalex.org/keywords/apparent-diffusion-coefficient","display_name":"apparent diffusion coefficient","score":0.8040000200271606},{"id":"https://openalex.org/keywords/radiomics","display_name":"radiomics","score":0.671999990940094},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.7200000286102295},{"id":"https://openalex.org/keywords/prognostic-signature","display_name":"prognostic signature","score":0.7260000109672546},{"id":"https://openalex.org/keywords/overall-survival","display_name":"overall survival","score":0.8980000019073486},{"id":"https://openalex.org/keywords/texture-features","display_name":"texture features","score":0.5289999842643738},{"id":"https://openalex.org/keywords/wavelet-filtering","display_name":"wavelet filtering","score":0.8100000023841858},{"id":"https://openalex.org/keywords/laplacian-of-gaussian-filtering","display_name":"Laplacian of Gaussian filtering","score":0.9039999842643738},{"id":"https://openalex.org/keywords/cox-proportional-hazards-model","display_name":"Cox proportional hazards model","score":0.6520000100135803},{"id":"https://openalex.org/keywords/risk-stratification","display_name":"risk stratification","score":0.7509999871253967},{"id":"https://openalex.org/keywords/treatment-response-prediction","display_name":"treatment response prediction","score":0.4869999885559082},{"id":"https://openalex.org/keywords/mri-texture-analysis","display_name":"MRI texture analysis","score":0.4350000023841858},{"id":"https://openalex.org/keywords/bootstrap-method","display_name":"bootstrapping","score":0.5090000033378601},{"id":"https://openalex.org/keywords/c-index","display_name":"concordance index","score":0.7770000100135803},{"id":"https://openalex.org/keywords/prognostic-score","display_name":"prognostic score","score":0.43299999833106995}],"concepts":[{"id":"https://openalex.org/C70816921","wikidata":"https://www.wikidata.org/wiki/Q258852","display_name":"Effective diffusion coefficient","level":3,"score":0.8344349265098572},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.5385291576385498},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.535058319568634},{"id":"https://openalex.org/C2777740455","wikidata":"https://www.wikidata.org/wiki/Q666412","display_name":"Cervix","level":3,"score":0.48475882411003113},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.44052591919898987},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.38613754510879517},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3586353659629822},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.33264803886413574},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.297426700592041},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2514168322086334},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.24248701333999634},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18937405943870544},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15450242161750793},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14375409483909607},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.071431964635849},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.04336589574813843}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/s0167-8140(19)31379-9","doi":"https://doi.org/10.1016/s0167-8140(19)31379-9","is_oa":true,"landing_page_url":"https://doi.org/10.1016/s0167-8140(19)31379-9","pdf_url":"https://doi.org/10.1016/s0167-8140(19)31379-9","source":{"id":"https://openalex.org/S144507673","display_name":"Radiotherapy and Oncology","issn_l":"0167-8140","issn":["0167-8140","1879-0887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radiotherapy and Oncology","raw_type":"journal-article"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/6d650acb-f7f2-4c9d-91ca-580fa76335ca","doi":null,"is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/6d650acb-f7f2-4c9d-91ca-580fa76335ca","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Radiotherapy and Oncology, 133, S520 - S521. Elsevier Ireland Ltd","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1016/s0167-8140(19)31379-9","doi":"https://doi.org/10.1016/s0167-8140(19)31379-9","is_oa":true,"landing_page_url":"https://doi.org/10.1016/s0167-8140(19)31379-9","pdf_url":"https://doi.org/10.1016/s0167-8140(19)31379-9","source":{"id":"https://openalex.org/S144507673","display_name":"Radiotherapy and Oncology","issn_l":"0167-8140","issn":["0167-8140","1879-0887"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Radiotherapy and Oncology","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.8999999761581421,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2945816023.pdf","grobid_xml":"https://content.openalex.org/works/W2945816023.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4307145593","https://openalex.org/W2888739725","https://openalex.org/W2970612217","https://openalex.org/W2804297554","https://openalex.org/W2970356635","https://openalex.org/W2801316959","https://openalex.org/W2946136675","https://openalex.org/W2888108303","https://openalex.org/W3174918489","https://openalex.org/W2888561567"],"abstract_inverted_index":{"ESTRO":[0],"38":[1],"histogram":[2],"statistics,":[3],"shape,":[4],"texture":[5],"and":[6,10,111,137,158,197,215,229,253],"features":[7,33,49,73,116,180],"by":[8],"Wavelet":[9],"Laplacian":[11],"of":[12,31,40,47,208,218,227],"Gaussian":[13],"filtering,":[14],"were":[15,34,74,117,181],"extracted":[16],"from":[17,66],"the":[18,38,42,55,58,69,81,85,89,93,103,133,147,159,212,222],"GTV":[19],"via":[20],"an":[21,28],"open-source":[22],"radiomics":[23,166],"package":[24],"O-RAW":[25],"that":[26],"is":[27],"extension":[29],"wrapper":[30],"PyRadiomics.Radiomic":[32],"pre-selected":[35,70],"to":[36,100,131,145,155,164],"reduce":[37],"probability":[39],"over-fitting.If":[41],"Spearman":[43],"correlation":[44],"between":[45,135,243],"pairs":[46],"radiomic":[48,72,115,138,179],"was":[50,64,98,129,143,153,162],"bigger":[51],"than":[52],"0.85,":[53],"then":[54],"feature":[56,105,176],"with":[57,62,170],"lower":[59],"univariable":[60,94],"association":[61,134],"OS":[63,242],"eliminated":[65],"further":[67],"analysis.All":[68],"potential":[71],"analysed":[75],"for":[76],"their":[77],"prognostic":[78,236],"power":[79],"using":[80],"median":[82],"value":[83,91],"in":[84,92,205,234,241,246],"training":[86,213,228,248],"set":[87,214],"as":[88],"threshold":[90],"analysis.The":[95],"logrank":[96],"test":[97,161],"used":[99,130,163],"assessed":[101],"whether":[102],"individual":[104],"can":[106],"stratify":[107],"patients":[108],"into":[109],"high":[110],"low":[112],"risk":[113,244],"groups.The":[114],"not":[118],"normalized":[119],"on":[120],"any":[121],"data":[122],"sets.Multivariable":[123],"Cox":[124,201],"proportional":[125],"hazards":[126],"regression":[127,202],"model":[128,203],"examine":[132],"survival":[136],"features.The":[139],"concordance":[140],"index":[141],"(c-index)":[142],"determined":[144],"assess":[146,165],"models":[148],"discrimination":[149],"power.100":[150],"times":[151],"bootstrapping":[152],"performed":[154],"compute":[156],"cindex":[157],"Wilcoxon":[160],"signature":[167],"power,":[168],"compared":[169],"random":[171],"(c-index":[172],"=":[173],"0.5).":[174],"ResultsAfter":[175],"selection,":[177],"8":[178],"selected:":[182],"(1)":[183],"log-sigma-1-0-mm-3D_glszm_LowGrayLevelZoneEmphasis,":[184],"(2)":[185],"log-sigma-2-0mm-3D_gldm_DependenceVariance,":[186],"(3)":[187],"log-sigma-2-0mm-3D_glszm_SmallAreaLowGrayLevelEmphasis,":[188],"(4)":[189],"logsigma-3-0-mm-3D_gldm_DependenceEntropy,":[190],"(5)":[191],"wavelet-LHH_firstorder_Median,":[192],"(6)":[193],"wavelet-LLH_gldm_DependenceVariance,":[194],"(7)":[195],"original_firstorder_Maximum,":[196],"(":[198],"8)":[199],"original_glszm_SmallAreaLowGrayLevelEmphasis.The":[200],"resulted":[204],"a":[206,216],"c-index":[207,217],"0.70":[209],"(95%CI:":[210,220],"0.63-0.74)on":[211],"0.65":[219],"0.56-0.68)on":[221],"validation":[223,230,254],"set.The":[224],"Kaplan-Meier":[225],"curves":[226],"sets":[231,255],"are":[232],"shown":[233],"Figure-1.The":[235],"score":[237],"demonstrated":[238],"significant":[239],"differences":[240],"groups":[245],"both":[247],"(X":[249,256],"2":[250,257],"17.0,":[251],"p<0.001)":[252],"5.4,":[258],"p=0.02).":[259]},"counts_by_year":[],"updated_date":"2026-11-01T11:40:01.658920","created_date":"2019-05-29T00:00:00"}
