{"id":"https://openalex.org/W4406328515","doi":"https://doi.org/10.1145/3706890.3707002","title":"Preoperative Diagnosis of Lymph Node Metastasis in Oral Cancer Using Pathological Assessment and Contrast-Enhanced CT Imaging","display_name":"Preoperative Diagnosis of Lymph Node Metastasis in Oral Cancer Using Pathological Assessment and Contrast-Enhanced CT Imaging","publication_year":2024,"publication_date":"2024-08-13","ids":{"openalex":"https://openalex.org/W4406328515","doi":"https://doi.org/10.1145/3706890.3707002"},"language":"en","primary_location":{"id":"doi:10.1145/3706890.3707002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3707002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086220431","display_name":"Huaping Jiang","orcid":"https://orcid.org/0009-0004-1560-7910"},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huimin Jiang","raw_affiliation_strings":["School of Medical Imaging, Wannan Medical College, Wuhu, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0004-1560-7910","affiliations":[{"raw_affiliation_string":"School of Medical Imaging, Wannan Medical College, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Liming Fang","orcid":"https://orcid.org/0009-0006-7725-6559"},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liming Fang","raw_affiliation_strings":["School of Medical Imaging, Wannan Medical College, Wuhu, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0006-7725-6559","affiliations":[{"raw_affiliation_string":"School of Medical Imaging, Wannan Medical College, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053103273","display_name":"Anqi Xia","orcid":null},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Anqi Xia","raw_affiliation_strings":["School of Medical Imaging, Wannan Medical College, Wuhu, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0007-2648-1294","affiliations":[{"raw_affiliation_string":"School of Medical Imaging, Wannan Medical College, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I100357981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115798775","display_name":"Le Zu","orcid":null},"institutions":[{"id":"https://openalex.org/I100357981","display_name":"Wannan Medical College","ror":"https://ror.org/037ejjy86","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I100357981"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Zu","raw_affiliation_strings":["School of General Education, Wannan Medical College, Wuhu, Anhui, China"],"raw_orcid":"https://orcid.org/0009-0005-0436-8587","affiliations":[{"raw_affiliation_string":"School of General Education, Wannan Medical College, Wuhu, Anhui, China","institution_ids":["https://openalex.org/I100357981"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086220431"],"corresponding_institution_ids":["https://openalex.org/I100357981"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.41821121,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"655","last_page":"659"},"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":0.9991999864578247,"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":0.9991999864578247,"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/T10307","display_name":"Head and Neck Cancer Studies","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2733","display_name":"Otorhinolaryngology"},"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/T12379","display_name":"Cancer Diagnosis and Treatment","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/medicine","display_name":"Medicine","score":0.7496711015701294},{"id":"https://openalex.org/keywords/pathological","display_name":"Pathological","score":0.6471105217933655},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.6027872562408447},{"id":"https://openalex.org/keywords/lymph-node-metastasis","display_name":"Lymph node metastasis","score":0.577907383441925},{"id":"https://openalex.org/keywords/lymph-node","display_name":"Lymph node","score":0.5354784727096558},{"id":"https://openalex.org/keywords/cancer-imaging","display_name":"Cancer imaging","score":0.5112614631652832},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.47062018513679504},{"id":"https://openalex.org/keywords/metastasis","display_name":"Metastasis","score":0.44845765829086304},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.43805190920829773},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.28989267349243164},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13304021954536438},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.06678608059883118}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7496711015701294},{"id":"https://openalex.org/C207886595","wikidata":"https://www.wikidata.org/wiki/Q1456138","display_name":"Pathological","level":2,"score":0.6471105217933655},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.6027872562408447},{"id":"https://openalex.org/C2992571226","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node metastasis","level":4,"score":0.577907383441925},{"id":"https://openalex.org/C2780849966","wikidata":"https://www.wikidata.org/wiki/Q170758","display_name":"Lymph node","level":2,"score":0.5354784727096558},{"id":"https://openalex.org/C2994114330","wikidata":"https://www.wikidata.org/wiki/Q5031437","display_name":"Cancer imaging","level":3,"score":0.5112614631652832},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.47062018513679504},{"id":"https://openalex.org/C2779013556","wikidata":"https://www.wikidata.org/wiki/Q181876","display_name":"Metastasis","level":3,"score":0.44845765829086304},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.43805190920829773},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.28989267349243164},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13304021954536438},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.06678608059883118},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3706890.3707002","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3706890.3707002","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Symposium on Artificial Intelligence for Medicine Science","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7300000190734863}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2768547366","https://openalex.org/W3195030159","https://openalex.org/W4220920572","https://openalex.org/W4233905190","https://openalex.org/W4294916318","https://openalex.org/W4387033307"],"related_works":["https://openalex.org/W2365243064","https://openalex.org/W2069592018","https://openalex.org/W2075740387","https://openalex.org/W2386699790","https://openalex.org/W2358990940","https://openalex.org/W2093931120","https://openalex.org/W2063918854","https://openalex.org/W2373252393","https://openalex.org/W2352462806","https://openalex.org/W4400163589"],"abstract_inverted_index":{"This":[0],"study":[1],"explores":[2],"the":[3,62,78,106,120,124,134,145,164,171,177,217,227],"clinical":[4,9,110,224],"utility":[5],"of":[6,73,123,136,159,176,182,231],"combining":[7],"preoperative":[8,199],"and":[10,54,80,99,111,138,161,166,173,201,229],"pathological":[11,112],"data":[12,53],"with":[13,35],"radiomic":[14,137],"features":[15,101,115],"from":[16,44,102],"CT":[17,103,200],"imaging":[18],"for":[19,76],"diagnosing":[20],"lymph":[21,81,153,209,232],"node":[22,154,210,233],"metastasis":[23,211,234],"(LNM)":[24],"in":[25,61,119,151,163,207,212,223],"oral":[26,36,213],"cancer":[27,37],"patients.":[28],"We":[29],"retrospectively":[30],"analyzed":[31],"295":[32],"patients":[33],"diagnosed":[34],"at":[38],"Yijishan":[39],"Hospital,":[40],"Wannan":[41],"Medical":[42],"College,":[43],"January":[45],"2016":[46],"to":[47,70,97,219],"March":[48],"2023.":[49],"After":[50],"excluding":[51],"incomplete":[52],"unclear":[55],"imaging,":[56],"218":[57],"cases":[58],"were":[59,116],"included":[60],"analysis.":[63],"Two":[64],"experienced":[65],"radiologists":[66],"used":[67],"ITK-SNAP":[68],"software":[69],"annotate":[71],"regions":[72],"interest":[74],"(ROI)":[75],"both":[77],"tumor":[79],"nodes.":[82],"Feature":[83],"extraction":[84],"was":[85],"performed":[86,148],"via":[87],"two":[88],"pathways:":[89],"one":[90],"branch":[91,108],"employed":[92],"a":[93,129],"multilayer":[94],"perceptron":[95],"(MLP)":[96],"extract":[98],"reduce":[100],"images,":[104],"while":[105],"other":[107],"captured":[109],"data.":[113],"These":[114,191],"then":[117],"fused":[118],"third":[121],"layer":[122],"MLP":[125],"neural":[126],"network,":[127],"creating":[128],"diagnostic":[130],"model":[131,147,179],"based":[132,184],"on":[133,186],"integration":[135],"clinical-pathological":[139,189,202],"characteristics.":[140],"The":[141],"results":[142],"showed":[143],"that":[144,194],"combined":[146],"exceptionally":[149],"well":[150],"predicting":[152,208],"metastasis,":[155],"achieving":[156],"AUC":[157],"values":[158],"0.997":[160],"0.961":[162],"training":[165],"validation":[167],"sets,":[168],"respectively.":[169],"Furthermore,":[170],"calibration":[172],"decision":[174],"curves":[175],"integrated":[178],"outperformed":[180],"those":[181],"models":[183],"solely":[185],"radiomics":[187],"or":[188],"features.":[190],"findings":[192],"suggest":[193],"this":[195],"model,":[196],"which":[197],"integrates":[198],"features,":[203],"demonstrates":[204],"high":[205],"efficacy":[206],"cancer.":[214],"It":[215],"has":[216],"potential":[218],"be":[220],"widely":[221],"applied":[222],"practice,":[225],"advancing":[226],"precision":[228],"personalization":[230],"diagnosis.":[235]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
