{"id":"https://openalex.org/W3201796121","doi":"https://doi.org/10.1186/s12880-021-00711-3","title":"Prediction of BRCA gene mutation status in epithelial ovarian cancer by radiomics models based on 2D and 3D CT images","display_name":"Prediction of BRCA gene mutation status in epithelial ovarian cancer by radiomics models based on 2D and 3D CT images","publication_year":2021,"publication_date":"2021-11-26","ids":{"openalex":"https://openalex.org/W3201796121","doi":"https://doi.org/10.1186/s12880-021-00711-3","mag":"3201796121","pmid":"https://pubmed.ncbi.nlm.nih.gov/34836507"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-021-00711-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-021-00711-3","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-021-00711-3","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","license_id":"https://openalex.org/licenses/cc-by","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/track/pdf/10.1186/s12880-021-00711-3","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Liu Mingzhu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Mingzhu","raw_affiliation_strings":["Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China, University of Science and Technology of China, Hefei, 230031, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Life Sciences and Medicine, The First Affiliated Hospital of University of Science and Technology of China, University of Science and Technology of China, Hefei, 230031, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100568346","display_name":"Yaqiong Ge","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ge Yaqiong","raw_affiliation_strings":["GE Healthcare China, Pudong New Area, No.1 Huatuo Road, Shanghai, 210000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"GE Healthcare China, Pudong New Area, No.1 Huatuo Road, Shanghai, 210000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011227759","display_name":"Meng-ru Li","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Mengru","raw_affiliation_strings":["Department of Radiology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, 230031, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, 230031, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100323836","display_name":"Wei Wei","orcid":"https://orcid.org/0000-0003-4097-1592"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Wei","raw_affiliation_strings":["Department of Radiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China. weiweill@126.com","Department of Radiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China. weiweill@126.com","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"Department of Radiology, Division of Life Sciences and Medicine, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100323836"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":2.2938,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.88473375,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"21","issue":"1","first_page":"180","last_page":"180"},"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":0.9473000168800354,"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":0.9473000168800354,"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/T10550","display_name":"Ovarian cancer diagnosis and treatment","score":0.012600000016391277,"subfield":{"id":"https://openalex.org/subfields/2743","display_name":"Reproductive Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.006800000090152025,"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/radiomics","display_name":"Radiomics","score":0.8300400972366333},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.7437188029289246},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.691861629486084},{"id":"https://openalex.org/keywords/ovarian-cancer","display_name":"Ovarian cancer","score":0.5557107329368591},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.478553831577301},{"id":"https://openalex.org/keywords/cross-validation","display_name":"Cross-validation","score":0.43978917598724365},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42775946855545044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41088324785232544},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36284464597702026},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.3391275107860565},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.32245784997940063},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3079794645309448},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.26524415612220764},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11543089151382446}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8300400972366333},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.7437188029289246},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.691861629486084},{"id":"https://openalex.org/C2780427987","wikidata":"https://www.wikidata.org/wiki/Q172341","display_name":"Ovarian cancer","level":3,"score":0.5557107329368591},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.478553831577301},{"id":"https://openalex.org/C27181475","wikidata":"https://www.wikidata.org/wiki/Q541014","display_name":"Cross-validation","level":2,"score":0.43978917598724365},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42775946855545044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41088324785232544},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36284464597702026},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.3391275107860565},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.32245784997940063},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3079794645309448},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.26524415612220764},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11543089151382446},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077216","descriptor_name":"Carcinoma, Ovarian Epithelial","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000077216","descriptor_name":"Carcinoma, Ovarian Epithelial","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000077216","descriptor_name":"Carcinoma, Ovarian Epithelial","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":false},{"descriptor_ui":"D000077216","descriptor_name":"Carcinoma, Ovarian Epithelial","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D000077216","descriptor_name":"Carcinoma, Ovarian Epithelial","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D000077216","descriptor_name":"Carcinoma, Ovarian Epithelial","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003287","descriptor_name":"Contrast Media","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007472","descriptor_name":"Iohexol","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007472","descriptor_name":"Iohexol","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007472","descriptor_name":"Iohexol","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009154","descriptor_name":"Mutation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009154","descriptor_name":"Mutation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009154","descriptor_name":"Mutation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011857","descriptor_name":"Radiographic Image Interpretation, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019398","descriptor_name":"Genes, BRCA1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019398","descriptor_name":"Genes, BRCA1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019398","descriptor_name":"Genes, BRCA1","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D024522","descriptor_name":"Genes, BRCA2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D024522","descriptor_name":"Genes, BRCA2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D024522","descriptor_name":"Genes, BRCA2","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-021-00711-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-021-00711-3","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-021-00711-3","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},{"id":"pmid:34836507","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34836507","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:65ab5d89b7aa4a68a005ee2a4e6b32cd","is_oa":true,"landing_page_url":"https://doaj.org/article/65ab5d89b7aa4a68a005ee2a4e6b32cd","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,"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":"BMC Medical Imaging, Vol 21, Iss 1, Pp 1-10 (2021)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:8626978","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8626978","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,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12880-021-00711-3","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-021-00711-3","pdf_url":"https://bmcmedimaging.biomedcentral.com/track/pdf/10.1186/s12880-021-00711-3","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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5099999904632568,"display_name":"Good health and well-being"}],"awards":[{"id":"https://openalex.org/G5721879697","display_name":null,"funder_award_id":"WK9110000002","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2058680832","https://openalex.org/W2094523134","https://openalex.org/W2103004421","https://openalex.org/W2118667301","https://openalex.org/W2179105349","https://openalex.org/W2313906428","https://openalex.org/W2628427238","https://openalex.org/W2671677316","https://openalex.org/W2754000510","https://openalex.org/W2778311501","https://openalex.org/W2801956643","https://openalex.org/W2889646458","https://openalex.org/W2901998432","https://openalex.org/W2975696535","https://openalex.org/W2977134104","https://openalex.org/W2999417355","https://openalex.org/W3015058324","https://openalex.org/W3157626213"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W2496284264","https://openalex.org/W4205100762","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W3009210156","https://openalex.org/W4388577230","https://openalex.org/W4385221818","https://openalex.org/W3030796519","https://openalex.org/W2787487463"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,38,112,184,204],"objective":[2],"of":[3,11,43,71,73,149,178,228],"this":[4],"study":[5],"is":[6],"to":[7,107],"explore":[8],"the":[9,66,74,82,86,94,120,134,140,143,146,150,169,175,190,210,225,229],"value":[10],"two-dimensional":[12],"(2D)":[13],"and":[14,40,52,57,68,89,126,153,164,217],"three-dimensional":[15],"(3D)":[16],"radiomics":[17,110,191,206],"models":[18,158,179,207],"based":[19],"on":[20],"enhanced":[21],"computed":[22],"tomography":[23],"(CT)":[24],"images":[25],"in":[26,31,81,214],"predicting":[27],"BRCA":[28,211],"gene":[29,212],"mutations":[30],"patients":[32,45],"with":[33,46],"epithelial":[34],"ovarian":[35,47,215],"cancer.":[36],"METHODS:":[37],"clinical":[39,128],"imaging":[41],"data":[42],"106":[44],"cancer":[48],"confirmed":[49],"by":[50,132],"surgery":[51],"pathology":[53],"were":[54,79,97,105,159,180,219],"retrospectively":[55],"analyzed":[56],"genetic":[58],"testing":[59],"was":[60,115,130],"performed.":[61],"Radiomics":[62],"features":[63,96],"extracted":[64],"from":[65],"2D":[67,154],"3D":[69,156],"regions":[70],"interest":[72],"patients'":[75],"primary":[76],"tumor":[77],"lesions":[78],"selected":[80,98],"training":[83],"set":[84],"using":[85,133],"maximum":[87],"correlation":[88],"minimum":[90],"redundancy":[91],"method.":[92],"Then,":[93],"best":[95],"through":[99],"Lasso":[100],"tenfold":[101],"cross-validation.":[102],"Feature":[103],"subsets":[104],"employed":[106],"establish":[108],"a":[109,194],"model.":[111],"model's":[113,135],"performance":[114,227],"evaluated":[116],"via":[117],"area":[118,144],"under":[119,145],"receiver":[121],"operating":[122],"characteristic":[123],"curve":[124,147,186],"analysis":[125,187],"its":[127],"validity":[129],"assessed":[131],"decision":[136,185],"curve.":[137],"RESULTS:":[138],"On":[139],"validation":[141],"set,":[142],"values":[148,173],"2D,":[151],"3D,":[152],"+":[155],"combined":[157],"0.78":[160],"(0.61-0.96),":[161,166],"0.75":[162],"(0.55-0.92),":[163],"0.82":[165],"respectively.":[167],"However,":[168],"DeLong":[170],"test":[171],"P":[172],"between":[174,224],"three":[176,205,230],"pairs":[177],"all":[181,199],">":[182],"0.05.":[183],"showed":[188],"that":[189],"model":[192],"had":[193],"high":[195],"net":[196],"benefit":[197],"across":[198],"high-risk":[200],"threshold":[201],"probabilities.":[202],"CONCLUSIONS:":[203],"can":[208],"predict":[209],"mutation":[213],"cancer,":[216],"there":[218],"no":[220],"statistically":[221],"significant":[222],"differences":[223],"prediction":[226],"models.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}