{"id":"https://openalex.org/W4362663996","doi":"https://doi.org/10.1117/12.2653814","title":"Topological prediction models for relapse of stage I patients with non-small cell lung cancer prior to stereotactic ablative radiotherarpy","display_name":"Topological prediction models for relapse of stage I patients with non-small cell lung cancer prior to stereotactic ablative radiotherarpy","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362663996","doi":"https://doi.org/10.1117/12.2653814"},"language":"en","primary_location":{"id":"doi:10.1117/12.2653814","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","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/A5041945309","display_name":"Takumi Kodama","orcid":"https://orcid.org/0000-0002-8134-0837"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takumi Kodama","raw_affiliation_strings":["Kyushu Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Univ. (Japan)","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026318525","display_name":"Hidetaka Arimura","orcid":"https://orcid.org/0000-0002-2918-2747"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hidetaka Arimura","raw_affiliation_strings":["Kyushu Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Univ. (Japan)","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090364292","display_name":"Yuko Shirakawa","orcid":null},"institutions":[{"id":"https://openalex.org/I4210093709","display_name":"National Hospital Organization Kyushu Cancer Center","ror":"https://ror.org/00mce9b34","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210093709","https://openalex.org/I4210137409"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuko Shirakawa","raw_affiliation_strings":["National Hospital Organization Kyushu Cancer Ctr. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Hospital Organization Kyushu Cancer Ctr. (Japan)","institution_ids":["https://openalex.org/I4210093709"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047010426","display_name":"Kenta Ninomiya","orcid":"https://orcid.org/0000-0002-9566-4875"},"institutions":[{"id":"https://openalex.org/I2799424032","display_name":"Discovery Institute","ror":"https://ror.org/05t8s3y29","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2799424032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kenta Ninomiya","raw_affiliation_strings":["Sanford Burnham Prebys Medical Discovery Institute (United States)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sanford Burnham Prebys Medical Discovery Institute (United States)","institution_ids":["https://openalex.org/I2799424032"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102720777","display_name":"Tadamasa Yoshitake","orcid":"https://orcid.org/0000-0002-8206-9284"},"institutions":[{"id":"https://openalex.org/I135598925","display_name":"Kyushu University","ror":"https://ror.org/00p4k0j84","country_code":"JP","type":"education","lineage":["https://openalex.org/I135598925"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadamasa Yoshitake","raw_affiliation_strings":["Kyushu Univ. (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kyushu Univ. (Japan)","institution_ids":["https://openalex.org/I135598925"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021983984","display_name":"Yoshiyuki Shioyama","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113746","display_name":"SAGA Heavy Ion Medical Accelerator in Tosu","ror":"https://ror.org/02b12qx63","country_code":"JP","type":"healthcare","lineage":["https://openalex.org/I4210113746"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yoshiyuki Shioyama","raw_affiliation_strings":["Saga Heavy Ion Medical Accelerator in Tosu (Japan)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Saga Heavy Ion Medical Accelerator in Tosu (Japan)","institution_ids":["https://openalex.org/I4210113746"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14303822,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"75","issue":null,"first_page":"74","last_page":"74"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9965000152587891,"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":0.9940000176429749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ablative-case","display_name":"Ablative case","score":0.8796747326850891},{"id":"https://openalex.org/keywords/stage","display_name":"Stage (stratigraphy)","score":0.6014506816864014},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.4281827211380005},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.42704224586486816},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3259428143501282},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.32121336460113525},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17112424969673157},{"id":"https://openalex.org/keywords/radiation-therapy","display_name":"Radiation therapy","score":0.10409456491470337}],"concepts":[{"id":"https://openalex.org/C19617505","wikidata":"https://www.wikidata.org/wiki/Q156986","display_name":"Ablative case","level":3,"score":0.8796747326850891},{"id":"https://openalex.org/C146357865","wikidata":"https://www.wikidata.org/wiki/Q1123245","display_name":"Stage (stratigraphy)","level":2,"score":0.6014506816864014},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.4281827211380005},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.42704224586486816},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3259428143501282},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.32121336460113525},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17112424969673157},{"id":"https://openalex.org/C509974204","wikidata":"https://www.wikidata.org/wiki/Q180507","display_name":"Radiation therapy","level":2,"score":0.10409456491470337},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1117/12.2653814","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1117/12.2653814","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Medical Imaging 2023: Computer-Aided Diagnosis","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W41479188","https://openalex.org/W1973594991","https://openalex.org/W1984747135","https://openalex.org/W2003304826","https://openalex.org/W2019090719","https://openalex.org/W2044465660","https://openalex.org/W2099698084","https://openalex.org/W2156654709","https://openalex.org/W2207540049","https://openalex.org/W2331032341","https://openalex.org/W2506122519","https://openalex.org/W2614024669","https://openalex.org/W2795387833","https://openalex.org/W2893113581","https://openalex.org/W2899391228","https://openalex.org/W2913769966","https://openalex.org/W2980909879","https://openalex.org/W2995747347","https://openalex.org/W3118743286","https://openalex.org/W4226237761","https://openalex.org/W4232988177","https://openalex.org/W4234168075","https://openalex.org/W4237616275","https://openalex.org/W4247890532","https://openalex.org/W4250265893","https://openalex.org/W4289527175","https://openalex.org/W6601688574","https://openalex.org/W6738172923"],"related_works":["https://openalex.org/W2371027160","https://openalex.org/W2393873645","https://openalex.org/W171231038","https://openalex.org/W2911279200","https://openalex.org/W2384101927","https://openalex.org/W1493335820","https://openalex.org/W2782534215","https://openalex.org/W3210879876","https://openalex.org/W4386584219","https://openalex.org/W2505885620"],"abstract_inverted_index":{"This":[0],"study":[1],"aimed":[2],"to":[3,29,94],"explore":[4],"topological":[5,77,90],"prediction":[6],"models":[7],"for":[8,209,236],"relapses,":[9],"i.e.,":[10],"locoregional":[11],"relapse":[12],"(LRR)":[13],"and":[14,54,83,130,156,163,171,187,206,219,233],"distant":[15],"metastasis":[16],"(DM),":[17],"of":[18,40,104,154,166,169,198,202,229],"stage":[19],"I":[20],"patients":[21,44,125],"with":[22,45,71,112,120,190,223],"non-small":[23],"cell":[24],"lung":[25,63,113],"cancer":[26,114],"(NSCLC)":[27],"prior":[28],"stereotactic":[30],"ablative":[31],"radiotherapy":[32],"(SABR).":[33],"Pretreatment":[34],"planning":[35],"computed":[36],"tomography":[37],"(CT)":[38],"images":[39,68],"125":[41],"primary":[42],"NSCLC":[43],"SABR":[46],"were":[47,69,126],"divided":[48],"into":[49,119,128],"training":[50],"(n":[51,57],"=":[52,58],"65)":[53],"test":[55,183],"datasets":[56],"60).":[59],"The":[60,102,124,141,212],"signatures":[61,213],"on":[62],"tumor":[64,106,192,224],"heterogeneity":[65,98],"in":[66,99],"CT":[67],"constructed":[70],"conventional":[72],"wavelet":[73,220],"features":[74,78,86,91,218,221],"(WFs),":[75],"invariant":[76],"(original:":[79],"TFs,":[80],"inverted:":[81],"iTFs),":[82],"their":[84],"combined":[85,189,222],"(TWFs,":[87],"iTWFs).":[88],"Invariant":[89],"are":[92],"related":[93],"intrinsic":[95],"holes":[96],"or":[97],"the":[100,105,121,139,182,185,191,203,210,227,231,237],"tumors.":[101],"predictability":[103,142],"volumes":[107,193,225],"which":[108,174],"may":[109],"be":[110],"associated":[111],"prognosis":[115],"was":[116,143,175],"also":[117],"delved":[118],"image":[122],"signatures.":[123],"stratified":[127],"high-risk":[129,155,232],"low-risk":[131,157,234],"groups":[132],"using":[133,145],"a":[134,146,159,164,177],"radiomics":[135],"score":[136],"calculated":[137],"from":[138,215],"signature.":[140],"evaluated":[144],"p-value":[147,170],"(log-rank":[148],"test)":[149],"between":[150],"Kaplan\u2013Meier":[151],"(KM)":[152],"curves":[153,205],"groups,":[158],"concordance":[160],"index":[161],"(c-index),":[162],"multiplication":[165],"negative":[167],"logarithm":[168],"c-index":[172],"(nLPC),":[173],"considered":[176],"comprehensive":[178],"evaluation":[179],"index.":[180],"For":[181],"dataset,":[184],"iTFs":[186],"WFs":[188],"had":[194],"statistically":[195],"significant":[196],"differences":[197],"p-values":[199],"(<":[200],"0.05)":[201],"KM":[204],"higher":[207],"nLPCs":[208],"relapses.":[211,238],"derived":[214],"inverted":[216],"topology-based":[217],"showed":[226],"potential":[228],"improving":[230],"stratification":[235]},"counts_by_year":[],"updated_date":"2026-01-22T23:29:09.771500","created_date":"2025-10-10T00:00:00"}