{"id":"https://openalex.org/W4414932699","doi":"https://doi.org/10.1186/s12880-025-01944-2","title":"A radiomics model based on diffusion-weighted imaging developed using machine learning enables prediction of microsatellite instability in endometrial cancer","display_name":"A radiomics model based on diffusion-weighted imaging developed using machine learning enables prediction of microsatellite instability in endometrial cancer","publication_year":2025,"publication_date":"2025-10-08","ids":{"openalex":"https://openalex.org/W4414932699","doi":"https://doi.org/10.1186/s12880-025-01944-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/41063067"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-025-01944-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-01944-2","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-025-01944-2","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"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":"BMC Medical Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-025-01944-2","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100437827","display_name":"Meng Zhang","orcid":"https://orcid.org/0000-0003-4935-4005"},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Meng Zhang","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022525513","display_name":"Xuejia Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuejia Wang","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428658","display_name":"Zhong Li","orcid":"https://orcid.org/0000-0003-1124-5778"},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Li","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052333801","display_name":"Wenjun Liu","orcid":"https://orcid.org/0000-0001-9380-2990"},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenling Liu","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015146142","display_name":"Xuekun Li","orcid":"https://orcid.org/0000-0002-6985-6363"},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuekun Li","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087847017","display_name":"Xingxing Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Jin","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063849989","display_name":"Jinxia Guo","orcid":"https://orcid.org/0000-0001-6436-3765"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinxia Guo","raw_affiliation_strings":["MR Research China, GE Healthcare, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MR Research China, GE Healthcare, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010192317","display_name":"Kaiyu Wang","orcid":"https://orcid.org/0009-0004-8169-0767"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaiyu Wang","raw_affiliation_strings":["MR Research China, GE Healthcare, Beijing, China"],"affiliations":[{"raw_affiliation_string":"MR Research China, GE Healthcare, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736195","display_name":"Yuxia Li","orcid":"https://orcid.org/0000-0001-7313-0170"},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxia Li","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102294291","display_name":"Jipeng Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210115182","display_name":"First Affiliated Hospital of Xinxiang Medical University","ror":"https://ror.org/0278r4c85","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115182"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jipeng Ren","raw_affiliation_strings":["Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China. zmzzy199208@163.com","Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China"],"affiliations":[{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China. zmzzy199208@163.com","institution_ids":["https://openalex.org/I4210115182"]},{"raw_affiliation_string":"Department of MR, The First Affiliated Hospital, Xinxiang Medical University, 88 Jiankang Road, Weihui, 453100, PR China","institution_ids":["https://openalex.org/I4210115182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100437827"],"corresponding_institution_ids":["https://openalex.org/I4210115182"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.42362266,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"1","first_page":"405","last_page":"405"},"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/T10668","display_name":"Endometrial and Cervical Cancer Treatments","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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":0.9902999997138977,"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/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.7529000043869019},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6776999831199646},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6227999925613403},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6119999885559082},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.5562999844551086},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4564000070095062},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.3767000138759613},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.37310001254081726},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.36579999327659607},{"id":"https://openalex.org/keywords/stepwise-regression","display_name":"Stepwise regression","score":0.35740000009536743}],"concepts":[{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.7529000043869019},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7087000012397766},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6776999831199646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6509000062942505},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6227999925613403},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6119999885559082},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.5562999844551086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49480000138282776},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4564000070095062},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4381999969482422},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3767000138759613},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C170964787","wikidata":"https://www.wikidata.org/wiki/Q7611170","display_name":"Stepwise regression","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C70816921","wikidata":"https://www.wikidata.org/wiki/Q258852","display_name":"Effective diffusion coefficient","level":3,"score":0.3343000113964081},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.32659998536109924},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.3149999976158142},{"id":"https://openalex.org/C2777088508","wikidata":"https://www.wikidata.org/wiki/Q944777","display_name":"Endometrial cancer","level":3,"score":0.29829999804496765},{"id":"https://openalex.org/C143409427","wikidata":"https://www.wikidata.org/wiki/Q161238","display_name":"Magnetic resonance imaging","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C3020225094","wikidata":"https://www.wikidata.org/wiki/Q80091","display_name":"Area under curve","level":3,"score":0.289900004863739},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2881999909877777},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.26570001244544983},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2653000056743622},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C41727105","wikidata":"https://www.wikidata.org/wiki/Q17009718","display_name":"Dynamic contrast-enhanced MRI","level":3,"score":0.26080000400543213},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.2506999969482422}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1186/s12880-025-01944-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-01944-2","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-025-01944-2","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"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":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:41063067","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41063067","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,"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":"BMC medical imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:edbb7a600cb944448000d4e42fddcd5a","is_oa":true,"landing_page_url":"https://doaj.org/article/edbb7a600cb944448000d4e42fddcd5a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Imaging, Vol 25, Iss 1, Pp 1-13 (2025)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:11313557","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12505630","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:12505630","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12505630/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12880-025-01944-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-01944-2","pdf_url":"https://bmcmedimaging.biomedcentral.com/counter/pdf/10.1186/s12880-025-01944-2","source":{"id":"https://openalex.org/S6505649","display_name":"BMC Medical Imaging","issn_l":"1471-2342","issn":["1471-2342"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"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":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414932699.pdf","grobid_xml":"https://content.openalex.org/works/W4414932699.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W2041778180","https://openalex.org/W2078839611","https://openalex.org/W2168999946","https://openalex.org/W2529308344","https://openalex.org/W2538182709","https://openalex.org/W2751014791","https://openalex.org/W2772265700","https://openalex.org/W2900955936","https://openalex.org/W2941812591","https://openalex.org/W2994598489","https://openalex.org/W3006104185","https://openalex.org/W3025036301","https://openalex.org/W3047272901","https://openalex.org/W3094486545","https://openalex.org/W3125927432","https://openalex.org/W3128566757","https://openalex.org/W3129007422","https://openalex.org/W3139077134","https://openalex.org/W3160529628","https://openalex.org/W3161467143","https://openalex.org/W3177896729","https://openalex.org/W3178721497","https://openalex.org/W3182633521","https://openalex.org/W4206841660","https://openalex.org/W4210889262","https://openalex.org/W4214494341","https://openalex.org/W4220966714","https://openalex.org/W4229445766","https://openalex.org/W4281649697","https://openalex.org/W4283318658","https://openalex.org/W4285076992","https://openalex.org/W4307451755","https://openalex.org/W4310811599","https://openalex.org/W4317438765","https://openalex.org/W4403998164","https://openalex.org/W4409263839","https://openalex.org/W4410260709","https://openalex.org/W4410715931"],"related_works":[],"abstract_inverted_index":{"The":[0,139,186],"objective":[1],"of":[2,144],"this":[3,54],"research":[4],"was":[5,100],"to":[6,135,228],"develop":[7,136],"and":[8,23,56,76,88,106,130,141,158,179,210,247,255,264,272,292],"validate":[9],"a":[10,70,77],"machine":[11,121,125,296],"learning-based":[12],"prediction":[13,284],"model":[14,169,278,285],"integrating":[15],"clinical":[16,84,142,172,234,281,287],"data,":[17],"apparent":[18],"diffusion":[19],"coefficient":[20],"(ADC)":[21],"value,":[22],"diffusion-":[24],"weighted":[25],"imaging":[26],"(DWI)-based":[27],"radiomic":[28,89,175],"features,":[29,291],"aimed":[30],"at":[31],"assessing":[32],"microsatellite":[33],"instability":[34],"(MSI)":[35],"status":[36,303],"in":[37,53,198,206,215,304],"endometrial":[38],"cancer":[39],"(EC)":[40],"patients.":[41],"In":[42],"total,":[43],"292":[44],"EC":[45],"patients":[46],"who":[47],"underwent":[48],"pelvic":[49],"MRI":[50],"scans":[51],"participated":[52],"study":[55],"were":[57,95,147],"allocated":[58],"into":[59],"three":[60,119],"distinct":[61,120],"groups:":[62],"an":[63],"external":[64,217,257],"validation":[65,218,258],"cohort":[66,72,79],"(n":[67,73,80],"=":[68,74,81,244,252,261],"70),":[69],"testing":[71],"68),":[75],"training":[78,200],"154).":[82],"Preoperative":[83],"indicators,":[85,173],"ADC":[86,180,239,293],"metrics,":[87],"parameters":[90,176],"extracted":[91],"from":[92,177],"DWI":[93,236,289],"images":[94],"comprehensively":[96],"evaluated.":[97],"Feature":[98],"selection":[99,107],"conducted":[101],"using":[102],"least":[103],"absolute":[104],"shrinkage":[105],"operator":[108],"(LASSO)":[109],"regression":[110,132],"combined":[111],"with":[112,295],"Mann-Whitney":[113],"U":[114],"testing.":[115],"Following":[116],"feature":[117],"selection,":[118],"learning":[122,297],"classifiers\u2014support":[123],"vector":[124],"(SVM),":[126],"random":[127],"forest":[128],"(RF),":[129],"logistic":[131],"(LR)\u2014were":[133],"employed":[134],"predictive":[137,184,230],"models.":[138],"performance":[140],"utility":[143],"these":[145],"models":[146,231],"subsequently":[148],"examined":[149],"through":[150],"receiver":[151],"operating":[152],"characteristic":[153],"(ROC)":[154],"curves,":[155,157],"calibration":[156],"decision":[159],"curve":[160],"analysis":[161,274],"(DCA).":[162],"Among":[163],"the":[164,167,189,199,207,216,277],"evaluated":[165],"methods,":[166],"RF":[168],"incorporating":[170],"two":[171],"six":[174],"DWI,":[178],"values":[181,223,240,294],"exhibited":[182],"superior":[183],"ability.":[185],"areas":[187],"under":[188],"ROC":[190],"curves":[191,268],"(AUC)":[192],"reached":[193],"0.980":[194],"(95%":[195,203,212],"CI:":[196,204,213],"0.944\u20130.996)":[197],"cohort,":[201,209,219],"0.852":[202],"0.745\u20130.927)":[205],"test":[208,249],"0.938":[211],"0.853\u20130.982)":[214],"respectively.":[220],"These":[221],"AUC":[222,243,251,260],"reflected":[224],"better":[225],"accuracy":[226],"compared":[227],"separate":[229],"employing":[232],"only":[233],"factors,":[235,288],"radiomics,":[237],"or":[238],"(training":[241],"cohort:":[242,250,259],"0.682,":[245],"0.925,":[246],"0.851;":[248],"0.663,":[253],"0.788,":[254],"0.731;":[256],"0.605,":[262],"0.872,":[263],"0.828,":[265],"respectively).":[266],"Calibration":[267],"indicated":[269],"robust":[270],"concordance,":[271],"DCA":[273],"confirmed":[275],"that":[276],"had":[279],"substantial":[280],"applicability.":[282],"A":[283],"combining":[286],"radiomics":[290],"algorithms":[298],"can":[299],"noninvasively":[300],"assess":[301],"MSI":[302],"EC.":[305]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}