{"id":"https://openalex.org/W4224327240","doi":"https://doi.org/10.3390/diagnostics12051070","title":"Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification","display_name":"Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification","publication_year":2022,"publication_date":"2022-04-24","ids":{"openalex":"https://openalex.org/W4224327240","doi":"https://doi.org/10.3390/diagnostics12051070","pmid":"https://pubmed.ncbi.nlm.nih.gov/35626225","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/9139915"},"language":"en","primary_location":{"id":"doi:10.3390/diagnostics12051070","doi":"https://doi.org/10.3390/diagnostics12051070","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12051070","pdf_url":"https://www.mdpi.com/2075-4418/12/5/1070/pdf?version=1650972573","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-4418/12/5/1070/pdf?version=1650972573","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019895958","display_name":"Roelof J. Beukinga","orcid":"https://orcid.org/0000-0003-3500-8523","observed_orcids":["https://orcid.org/0000-0003-3500-8523"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Roelof J. Beukinga","raw_affiliation_strings":["Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018916898","display_name":"Floris B. Poelmann","orcid":"https://orcid.org/0000-0002-9231-8686","observed_orcids":["https://orcid.org/0000-0002-9231-8686"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Floris B. Poelmann","raw_affiliation_strings":["Department of Surgical Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Surgical Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042299730","display_name":"G\u00fcrsah Kats\u2010Ugurlu","orcid":"https://orcid.org/0000-0002-3006-5978","observed_orcids":["https://orcid.org/0000-0002-3006-5978"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Gursah Kats-Ugurlu","raw_affiliation_strings":["Department of Pathology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068004849","display_name":"Alain R. Viddeleer","orcid":"https://orcid.org/0000-0002-3288-140X","observed_orcids":["https://orcid.org/0000-0002-3288-140X"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alain R. Viddeleer","raw_affiliation_strings":["Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029713359","display_name":"Ronald Boellaard","orcid":"https://orcid.org/0000-0002-0313-5686","observed_orcids":["https://orcid.org/0000-0002-0313-5686"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]},{"id":"https://openalex.org/I4210151833","display_name":"Amsterdam University Medical Centers","ror":"https://ror.org/05grdyy37","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4210151833"]},{"id":"https://openalex.org/I4387152927","display_name":"Cancer Center Amsterdam","ror":"https://ror.org/0286p1c86","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I4387152927"]},{"id":"https://openalex.org/I865915315","display_name":"Vrije Universiteit Amsterdam","ror":"https://ror.org/008xxew50","country_code":"NL","type":"education","lineage":["https://openalex.org/I865915315"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Ronald Boellaard","raw_affiliation_strings":["Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]},{"raw_affiliation_string":"Department of Radiology and Nuclear Medicine, Cancer Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I4210151833","https://openalex.org/I4387152927","https://openalex.org/I865915315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065460222","display_name":"Robbert J. de Haas","orcid":"https://orcid.org/0000-0002-4915-6781","observed_orcids":["https://orcid.org/0000-0002-4915-6781"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Robbert J. De Haas","raw_affiliation_strings":["Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-4915-6781","affiliations":[{"raw_affiliation_string":"Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078429982","display_name":"John Th. M. Plukker","orcid":"https://orcid.org/0000-0001-5662-5286","observed_orcids":["https://orcid.org/0000-0001-5662-5286"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"John Th. M. Plukker","raw_affiliation_strings":["Department of Surgical Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0001-5662-5286","affiliations":[{"raw_affiliation_string":"Department of Surgical Oncology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028928453","display_name":"Jan Binne Hulshoff","orcid":"https://orcid.org/0000-0002-7720-6782","observed_orcids":["https://orcid.org/0000-0002-7720-6782"]},"institutions":[{"id":"https://openalex.org/I1334415907","display_name":"University Medical Center Groningen","ror":"https://ror.org/03cv38k47","country_code":"NL","type":"healthcare","lineage":["https://openalex.org/I1334415907"]},{"id":"https://openalex.org/I169381384","display_name":"University of Groningen","ror":"https://ror.org/012p63287","country_code":"NL","type":"education","lineage":["https://openalex.org/I169381384"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Jan Binne Hulshoff","raw_affiliation_strings":["Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-7720-6782","affiliations":[{"raw_affiliation_string":"Department of Nuclear Medicine and Molecular Imaging, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]},{"raw_affiliation_string":"Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700 RB Groningen, The Netherlands","institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028928453"],"corresponding_institution_ids":["https://openalex.org/I1334415907","https://openalex.org/I169381384"],"apc_list":{"value":1800,"currency":"CHF","value_usd":1885},"apc_paid":{"value":1800,"currency":"CHF","value_usd":1885},"fwci":1.6995,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.82384231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"12","issue":"5","first_page":"1070","last_page":"1070"},"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/T10619","display_name":"Esophageal Cancer Research and Treatment","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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":0.0,"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/esophageal-cancer","display_name":"esophageal cancer","score":1.0},{"id":"https://openalex.org/keywords/neoadjuvant-chemoradiotherapy","display_name":"neoadjuvant chemoradiotherapy","score":0.9950000047683716},{"id":"https://openalex.org/keywords/18f-fdg-pet","display_name":"18F-FDG PET","score":0.9760000109672546},{"id":"https://openalex.org/keywords/radiomics","display_name":"radiomics","score":0.9700000286102295},{"id":"https://openalex.org/keywords/machine-learning-classification","display_name":"machine learning classification","score":0.7210000157356262},{"id":"https://openalex.org/keywords/tumor-regression-grade","display_name":"tumor regression grade","score":0.7519999742507935},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.6949999928474426}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8006119728088379},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7333839535713196},{"id":"https://openalex.org/C2778424827","wikidata":"https://www.wikidata.org/wiki/Q5090613","display_name":"Chemoradiotherapy","level":3,"score":0.6019155979156494},{"id":"https://openalex.org/C2779742542","wikidata":"https://www.wikidata.org/wiki/Q372701","display_name":"Esophageal cancer","level":3,"score":0.5705972909927368},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.4498712420463562},{"id":"https://openalex.org/C2778292576","wikidata":"https://www.wikidata.org/wiki/Q6991934","display_name":"Neoadjuvant therapy","level":4,"score":0.4483569264411926},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.43970787525177},{"id":"https://openalex.org/C199374082","wikidata":"https://www.wikidata.org/wiki/Q907080","display_name":"Standardized uptake value","level":3,"score":0.43910202383995056},{"id":"https://openalex.org/C2775842073","wikidata":"https://www.wikidata.org/wiki/Q208376","display_name":"Positron emission tomography","level":2,"score":0.36643609404563904},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3618904948234558},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3474138379096985},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3298135995864868},{"id":"https://openalex.org/C2989005","wikidata":"https://www.wikidata.org/wiki/Q214963","display_name":"Nuclear medicine","level":1,"score":0.3288324475288391},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3077516555786133},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3003532588481903},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.1265530288219452},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.10549044609069824}],"mesh":[],"locations_count":9,"locations":[{"id":"doi:10.3390/diagnostics12051070","doi":"https://doi.org/10.3390/diagnostics12051070","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12051070","pdf_url":"https://www.mdpi.com/2075-4418/12/5/1070/pdf?version=1650972573","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},{"id":"pmid:35626225","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35626225","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:9139915","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC9139915/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics (Basel)","raw_type":"Text"},{"id":"pmh:oai:pure.amsterdamumc.nl:openaire/7d9548d4-2e48-4ed5-ad8b-a12521109a12","doi":null,"is_oa":true,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/7d9548d4-2e48-4ed5-ad8b-a12521109a12","pdf_url":null,"source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Beukinga, R J, Poelmann, F B, Kats-Ugurlu, G, Viddeleer, A R, Boellaard, R, de Haas, R J, Plukker, J T M & Hulshoff, J B 2022, 'Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with18F-FDG PET Radiomics Based Machine Learning Classification', Diagnostics (Basel, Switzerland), vol. 12, no. 5, 1070. https://doi.org/10.3390/diagnostics12051070","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:openaire/86662343-8fee-430e-9c5f-6c6a85eb3fb3","doi":null,"is_oa":true,"landing_page_url":"https://research.vumc.nl/en/publications/86662343-8fee-430e-9c5f-6c6a85eb3fb3","pdf_url":null,"source":{"id":"https://openalex.org/S7407055350","display_name":"Amsterdam UMC (VU Amsterdam) - Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Beukinga, R J, Poelmann, F B, Kats-Ugurlu, G, Viddeleer, A R, Boellaard, R, de Haas, R J, Plukker, J T M & Hulshoff, J B 2022, 'Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with18F-FDG PET Radiomics Based Machine Learning Classification', Diagnostics (Basel, Switzerland), vol. 12, no. 5, 1070. https://doi.org/10.3390/diagnostics12051070","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.rug.nl:openaire/30d95c39-a8e3-4212-a3df-fac35e227abc","doi":null,"is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/30d95c39-a8e3-4212-a3df-fac35e227abc","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Beukinga, R J, Poelmann, F B, Kats-Ugurlu, G, Viddeleer, A R, Boellaard, R, De Haas, R J, Plukker, J T M & Hulshoff, J B 2022, 'Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with 18F-FDG PET Radiomics Based Machine Learning Classification', Diagnostics, vol. 12, no. 5, 1070. https://doi.org/10.3390/diagnostics12051070","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:b2dc45d3e77041d2977f89b5cc1f45ba","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/b2dc45d3e77041d2977f89b5cc1f45ba","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Diagnostics, Vol 12, Iss 5, p 1070 (2022)","raw_type":"article"},{"id":"pmh:rug:oai:pure.rug.nl:publications/30d95c39-a8e3-4212-a3df-fac35e227abc","doi":null,"is_oa":true,"landing_page_url":"https://research.rug.nl/en/publications/30d95c39-a8e3-4212-a3df-fac35e227abc","pdf_url":null,"source":{"id":"https://openalex.org/S4306400420","display_name":"University of Groningen research database (University of Groningen / Centre for Information Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I169381384","host_organization_name":"University of Groningen","host_organization_lineage":["https://openalex.org/I169381384"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Diagnostics, 12(5):1070. MDPI AG","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:vumc:oai:pure.atira.dk:publications/86662343-8fee-430e-9c5f-6c6a85eb3fb3","doi":null,"is_oa":true,"landing_page_url":"https://research.vumc.nl/en/publications/86662343-8fee-430e-9c5f-6c6a85eb3fb3","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Diagnostics (Basel, Switzerland), 12(5):1070. MDPI AG","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.3390/diagnostics12051070","doi":"https://doi.org/10.3390/diagnostics12051070","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics12051070","pdf_url":"https://www.mdpi.com/2075-4418/12/5/1070/pdf?version=1650972573","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":1.0,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4224327240.pdf","grobid_xml":"https://content.openalex.org/works/W4224327240.grobid-xml"},"referenced_works_count":31,"referenced_works":["https://openalex.org/W1964675409","https://openalex.org/W1977468182","https://openalex.org/W1992024850","https://openalex.org/W2046032792","https://openalex.org/W2088783247","https://openalex.org/W2096465543","https://openalex.org/W2142068201","https://openalex.org/W2142266080","https://openalex.org/W2153563443","https://openalex.org/W2154444715","https://openalex.org/W2173608465","https://openalex.org/W2222262171","https://openalex.org/W2233525165","https://openalex.org/W2315074612","https://openalex.org/W2319060927","https://openalex.org/W2409456704","https://openalex.org/W2511212914","https://openalex.org/W2531910530","https://openalex.org/W2587297900","https://openalex.org/W2767233816","https://openalex.org/W2792800692","https://openalex.org/W2809568908","https://openalex.org/W2902316253","https://openalex.org/W2915121030","https://openalex.org/W2941572030","https://openalex.org/W2946540449","https://openalex.org/W2955393467","https://openalex.org/W2967897991","https://openalex.org/W2969118048","https://openalex.org/W2971304437","https://openalex.org/W2998789541"],"related_works":["https://openalex.org/W4401457255","https://openalex.org/W3169124713","https://openalex.org/W2531910530","https://openalex.org/W2792800692","https://openalex.org/W2589378237","https://openalex.org/W7167966947","https://openalex.org/W3093287527","https://openalex.org/W4391349364","https://openalex.org/W1990594463","https://openalex.org/W4220729145"],"abstract_inverted_index":{"Background:":[0],"Approximately":[1],"26%":[2],"of":[3,23,91,109,130,145,165,179,184],"esophageal":[4],"cancer":[5],"(EC)":[6],"patients":[7,50,83,132],"do":[8],"not":[9],"respond":[10],"to":[11,27,87,207,210],"neoadjuvant":[12],"chemoradiotherapy":[13],"(nCRT),":[14],"emphasizing":[15],"the":[16,101,110,118,150,188,191],"need":[17],"for":[18],"pre-treatment":[19,195],"selection.":[20],"The":[21,106,135,171],"aim":[22],"this":[24],"study":[25],"was":[26,62,123,173],"predict":[28],"non-response":[29],"using":[30],"a":[31,155,203],"radiomic":[32,43,169],"model":[33,138,172,193],"on":[34,125,149,161,194],"baseline":[35],"18F-FDG":[36,41,196],"PET.":[37],"Methods:":[38],"Retrospectively,":[39],"143":[40],"PET":[42,197],"features":[44,201],"were":[45,85],"extracted":[46],"from":[47],"199":[48],"EC":[49],"(T1N1-3M0/T2\u20134aN0-3M0)":[51],"treated":[52],"between":[53],"2009":[54],"and":[55,96,115,168,181,199],"2019.":[56],"Non-response":[57],"(n":[58,70,77],"=":[59,71,78],"57;":[60],"29%)":[61],"defined":[63],"as":[64],"Mandard":[65],"Tumor":[66],"Regression":[67],"Grade":[68],"4\u20135":[69],"44;":[72],"22%)":[73],"or":[74],"interval":[75],"progression":[76],"13;":[79],"7%).":[80],"Randomly,":[81],"139":[82],"(70%)":[84],"allocated":[86],"explore":[88],"all":[89],"combinations":[90],"24":[92],"feature":[93],"selection":[94],"strategies":[95],"6":[97],"classification":[98],"methods":[99],"towards":[100],"cross-validated":[102],"average":[103],"precision":[104],"(AP).":[105],"predictive":[107],"value":[108],"best-performing":[111,192],"model,":[112],"i.e":[113],"AP":[114,141,178],"area":[116],"under":[117],"ROC":[119],"curve":[120],"analysis":[121],"(AUC),":[122],"evaluated":[124],"an":[126,140,177,182],"independent":[127],"test":[128],"subset":[129],"60":[131],"(30%).":[133],"Results:":[134],"best":[136],"performing":[137],"had":[139,202],"(mean":[142],"\u00b1":[143,147],"SD)":[144],"0.47":[146],"0.06":[148],"training":[151],"subset,":[152],"achieved":[153],"by":[154],"support":[156],"vector":[157],"machine":[158],"classifier":[159],"trained":[160],"five":[162],"principal":[163],"components":[164],"relevant":[166],"clinical":[167,200,205],"features.":[170],"externally":[174],"validated":[175],"with":[176],"0.66":[180],"AUC":[183],"0.67.":[185],"Conclusion:":[186],"In":[187],"present":[189],"study,":[190],"radiomics":[198],"small":[204],"benefit":[206],"identify":[208],"non-responders":[209],"nCRT":[211],"in":[212],"EC.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2022-04-26T00:00:00"}
