{"id":"https://openalex.org/W4412492004","doi":"https://doi.org/10.1186/s12880-025-01790-2","title":"Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions","display_name":"Integrative radiomics of intra- and peri-tumoral features for enhanced risk prediction in thymic tumors: a multimodal analysis of tumor microenvironment contributions","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4412492004","doi":"https://doi.org/10.1186/s12880-025-01790-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/40676529"},"language":"en","primary_location":{"id":"doi:10.1186/s12880-025-01790-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-01790-2","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-025-01790-2.pdf","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://link.springer.com/content/pdf/10.1186/s12880-025-01790-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Liang zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Liang zhu","raw_affiliation_strings":["Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Xiashan District, ZhanJiang, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Xiashan District, ZhanJiang, Guangdong Province, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107904281","display_name":"Jiamin Li","orcid":"https://orcid.org/0009-0009-0232-2138"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiamin Li","raw_affiliation_strings":["Guangdong Medical Universiy, Xiashan District, ZhanJiang, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangdong Medical Universiy, Xiashan District, ZhanJiang, Guangdong Province, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035530096","display_name":"Xuefeng Wang","orcid":"https://orcid.org/0000-0002-4857-6944"},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Wang","raw_affiliation_strings":["Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Xiashan District, ZhanJiang, Guangdong Province, China","Guangdong Medical Universiy, Xiashan District, ZhanJiang, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Xiashan District, ZhanJiang, Guangdong Province, China","institution_ids":["https://openalex.org/I176834541"]},{"raw_affiliation_string":"Guangdong Medical Universiy, Xiashan District, ZhanJiang, Guangdong Province, China","institution_ids":["https://openalex.org/I176834541"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342975","display_name":"Yan He","orcid":"https://orcid.org/0000-0002-2257-828X"},"institutions":[{"id":"https://openalex.org/I4210119375","display_name":"Shenzhen KangNing Hospital","ror":"https://ror.org/02skpkw64","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210119375"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan He","raw_affiliation_strings":["Department of Pharmacy of Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Institute of Mental Health, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pharmacy of Shenzhen Kangning Hospital, Shenzhen Mental Health Center, Shenzhen Institute of Mental Health, Shenzhen, China","institution_ids":["https://openalex.org/I4210119375"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467828","display_name":"Siyuan Li","orcid":"https://orcid.org/0000-0002-2354-4233"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Li","raw_affiliation_strings":["Sun Yat-sen University, Yuexiu District, Guangzhou, Guangdong Province, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University, Yuexiu District, Guangzhou, Guangdong Province, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100895445","display_name":"Shuyan He","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143875","display_name":"Guangdong Province Women and Children Hospital","ror":"https://ror.org/0493m8x04","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210143875"]},{"id":"https://openalex.org/I92039509","display_name":"Guangzhou Medical University","ror":"https://ror.org/00zat6v61","country_code":"CN","type":"education","lineage":["https://openalex.org/I92039509"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuyan He","raw_affiliation_strings":["Department of Radiology, Guangdong Women and Children Hospital, Guangzhou, China. 1012027045@qq.com","Guangzhou Medical University, Panyu District, Guangzhou, Guangdong Province, China. 1012027045@qq.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Radiology, Guangdong Women and Children Hospital, Guangzhou, China. 1012027045@qq.com","institution_ids":["https://openalex.org/I4210143875"]},{"raw_affiliation_string":"Guangzhou Medical University, Panyu District, Guangzhou, Guangdong Province, China. 1012027045@qq.com","institution_ids":["https://openalex.org/I92039509"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048302169","display_name":"Biao Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I176834541","display_name":"Guangdong Medical College","ror":"https://ror.org/04k5rxe29","country_code":"CN","type":"education","lineage":["https://openalex.org/I176834541"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biao Deng","raw_affiliation_strings":["Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Xiashan District, ZhanJiang, Guangdong Province, China. 15760562638@163.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cardiothoracic Surgery, Affiliated Hospital of Guangdong Medical University, Xiashan District, ZhanJiang, Guangdong Province, China. 15760562638@163.com","institution_ids":["https://openalex.org/I176834541"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I176834541"],"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":0.25105395,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"25","issue":"1","first_page":"286","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11271","display_name":"Myasthenia Gravis and Thymoma","score":0.9487000107765198,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T11271","display_name":"Myasthenia Gravis and Thymoma","score":0.9487000107765198,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.010300000198185444,"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/T11485","display_name":"Gastrointestinal Tumor Research and Treatment","score":0.004000000189989805,"subfield":{"id":"https://openalex.org/subfields/2715","display_name":"Gastroenterology"},"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/radiomics","display_name":"Radiomics","score":0.8258346319198608},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5288611054420471},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.5241746306419373},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.49799084663391113},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.41154271364212036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4045444428920746},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.33321627974510193}],"concepts":[{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.8258346319198608},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5288611054420471},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.5241746306419373},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.49799084663391113},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.41154271364212036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4045444428920746},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.33321627974510193},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000097188","descriptor_name":"Radiomics","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":"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":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","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":"D013945","descriptor_name":"Thymoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013945","descriptor_name":"Thymoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013945","descriptor_name":"Thymoma","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013945","descriptor_name":"Thymoma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D013945","descriptor_name":"Thymoma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D013945","descriptor_name":"Thymoma","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D013953","descriptor_name":"Thymus Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013953","descriptor_name":"Thymus Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013953","descriptor_name":"Thymus Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D013953","descriptor_name":"Thymus Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D013953","descriptor_name":"Thymus Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D013953","descriptor_name":"Thymus Neoplasms","qualifier_ui":"Q000473","qualifier_name":"pathology","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D014057","descriptor_name":"Tomography, X-Ray Computed","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059016","descriptor_name":"Tumor Microenvironment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059016","descriptor_name":"Tumor Microenvironment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059016","descriptor_name":"Tumor Microenvironment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12880-025-01790-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-01790-2","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-025-01790-2.pdf","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:40676529","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40676529","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:f2d6ce7ca7034f5ab379b597a23b2b02","is_oa":true,"landing_page_url":"https://doaj.org/article/f2d6ce7ca7034f5ab379b597a23b2b02","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 25, Iss 1, Pp 1-13 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12272994","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12272994","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/s12880-025-01790-2","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12880-025-01790-2","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12880-025-01790-2.pdf","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412492004.pdf","grobid_xml":"https://content.openalex.org/works/W4412492004.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1953677527","https://openalex.org/W2037342610","https://openalex.org/W2104048219","https://openalex.org/W3177896729","https://openalex.org/W4290612186","https://openalex.org/W4385666904","https://openalex.org/W4393004790","https://openalex.org/W4393222179","https://openalex.org/W4394604873","https://openalex.org/W4397001901","https://openalex.org/W4401206608","https://openalex.org/W4401214945","https://openalex.org/W4402564227","https://openalex.org/W4402735133","https://openalex.org/W4403869490","https://openalex.org/W4407658355","https://openalex.org/W4408219497","https://openalex.org/W4408383129","https://openalex.org/W4408408307","https://openalex.org/W4410293692","https://openalex.org/W4410316723","https://openalex.org/W4410483090","https://openalex.org/W4410500360","https://openalex.org/W4410599773"],"related_works":["https://openalex.org/W3000891326","https://openalex.org/W4205100762","https://openalex.org/W2559998622","https://openalex.org/W2605851261","https://openalex.org/W2341492732","https://openalex.org/W3187193180","https://openalex.org/W106542691","https://openalex.org/W2734724112","https://openalex.org/W2582997534","https://openalex.org/W1699080303"],"abstract_inverted_index":{"OBJECTIVES:":[0],"This":[1],"study":[2,422],"aims":[3,445],"to":[4,160,194,200,233,259,271,307,320,376,446],"explore":[5],"the":[6,23,29,55,60,107,141,163,178,182,186,197,202,207,254,261,280,291,322,326,333,337,377,387,393,405,409,432,438,441,451],"role":[7],"of":[8,25,35,110,144,185,293,325,342,408,434,440,453],"intra-":[9],"and":[10,42,57,71,94,116,137,173,253,283,305,346,350,369,382,392],"peri-tumoral":[11,26,164,435],"radiomics":[12,89,208,417],"features":[13,96,167,211,267,436],"in":[14,50,416,437],"tumor":[15,30,203,428,442],"risk":[16,429],"prediction,":[17],"with":[18,40,44,118,244,344],"a":[19,65,72,223,245,424],"particular":[20],"focus":[21],"on":[22,28,54,81,279,427],"impact":[24],"characteristics":[27],"microenvironment.":[31,204,443],"METHODS:":[32],"A":[33,153],"total":[34],"133":[36,86],"patients,":[37,87],"including":[38,301],"128":[39],"thymomas":[41],"5":[43],"thymic":[45],"carcinomas,":[46],"were":[47,97,101,192,212,257,268,277,299],"ultimately":[48],"enrolled":[49],"this":[51,421],"study.":[52],"Based":[53],"high-":[56],"low-risk":[58],"classification,":[59],"cohort":[61],"was":[62,147,157,220,317],"divided":[63],"into":[64],"training":[66,281],"set":[67,74],"(n":[68,75],"=":[69,76],"93)":[70],"testing":[73],"40)":[77],"for":[78,285,450],"subsequent":[79],"analysis.Based":[80],"imaging":[82,120,187],"data":[83,100],"from":[84,103,241],"these":[85,294],"multiple":[88],"prediction":[90],"models":[91],"integrating":[92],"intra-tumoral":[93],"peritumoral":[95],"developed.":[98],"The":[99,329],"sourced":[102],"patients":[104],"treated":[105],"at":[106,348],"Affiliated":[108],"Hospital":[109],"Guangdong":[111],"Medical":[112],"University":[113],"between":[114],"2015":[115],"2023,":[117],"all":[119],"obtained":[121],"through":[122],"preoperative":[123],"CT":[124],"scans.":[125],"Radiomics":[126],"feature":[127,218,240],"extraction":[128],"involved":[129],"three":[130],"primary":[131],"categories:":[132],"first-order":[133],"features,":[134,136,363],"shape":[135],"high-order":[138],"features.":[139,264],"Initially,":[140],"tumor's":[142],"region":[143],"interest":[145],"(ROI)":[146],"manually":[148],"delineated":[149],"using":[150,215,222],"ITK-SNAP":[151],"software.":[152],"custom":[154],"Python":[155],"algorithm":[156,256],"then":[158,269],"used":[159,270],"automatically":[161],"expand":[162],"area,":[165],"extracting":[166],"within":[168],"1":[169],"mm,":[170,172],"2":[171],"3":[174],"mm":[175],"zones":[176],"surrounding":[177],"tumor.":[179],"Additionally,":[180],"considering":[181],"multimodal":[183],"nature":[184],"data,":[188],"image":[189],"fusion":[190],"techniques":[191],"incorporated":[193],"further":[195,289,385],"enhance":[196],"model's":[198,378,388],"ability":[199],"capture":[201],"To":[205,288],"build":[206],"models,":[209,275,295],"selected":[210,266],"first":[213],"standardized":[214],"z-scores.":[216],"Initial":[217],"selection":[219],"performed":[221,336],"t-test":[224],"(p":[225],"<":[226],"0.05),":[227],"followed":[228],"by":[229,236],"Spearman":[230],"correlation":[231,246],"analysis":[232,315,359,439],"remove":[234],"redundancy":[235],"retaining":[237],"only":[238],"one":[239],"each":[242],"pair":[243],"coefficient":[247],"\u2265":[248],"0.90.":[249],"Subsequently,":[250],"hierarchical":[251],"clustering":[252],"LASSO":[255],"applied":[258],"identify":[260],"most":[262],"predictive":[263,286,309,379],"These":[265],"train":[272],"machine":[273],"learning":[274],"which":[276,372],"optimized":[278],"dataset":[282],"assessed":[284],"performance.":[287],"evaluate":[290],"effectiveness":[292],"various":[296],"statistical":[297,406],"methods":[298],"applied,":[300],"DeLong's":[302,402],"test,":[303],"NRI,":[304],"IDI,":[306],"compare":[308],"differences":[310],"among":[311],"models.":[312,327,356],"Decision":[313],"curve":[314,395],"(DCA)":[316],"also":[318],"conducted":[319],"assess":[321],"clinical":[323,390],"applicability":[324],"RESULTS:":[328],"results":[330],"indicate":[331],"that":[332],"IntraPeri1mm":[334,410],"model":[335],"best,":[338],"achieving":[339],"an":[340],"AUC":[341],"0.837,":[343],"sensitivity":[345],"specificity":[347],"0.846":[349],"0.84,":[351],"respectively,":[352],"significantly":[353],"outperforming":[354],"other":[355],"SHAP":[357],"value":[358],"identified":[360],"several":[361],"key":[362],"such":[364],"as":[365],"peri_log_sigma_2_0_mm":[366],"3D_firstorder":[367],"RootMeanSquared":[368],"intra_wavelet_LLL_firstorder":[370],"Skewness,":[371],"made":[373],"substantial":[374],"contributions":[375],"accuracy.":[380],"NRI":[381],"IDI":[383],"analyses":[384],"confirmed":[386],"superior":[389],"applicability,":[391],"DCA":[394],"demonstrated":[396],"robust":[397],"performance":[398],"across":[399],"different":[400],"thresholds.":[401],"test":[403],"highlighted":[404],"significance":[407],"model,":[411],"underscoring":[412],"its":[413],"potential":[414],"utility":[415],"research.":[418],"CONCLUSIONS:":[419],"Overall,":[420],"provides":[423],"new":[425],"perspective":[426],"assessment,":[430],"highlighting":[431],"importance":[433],"It":[444],"offer":[447],"valuable":[448],"insights":[449],"development":[452],"personalized":[454],"treatment":[455],"plans.":[456],"CLINICAL":[457],"TRIAL":[458],"NUMBER:":[459],"Not":[460],"applicable.":[461]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
