{"created":"2025-05-30T01:15:37.176703+00:00","id":2040676,"links":{},"metadata":{"_buckets":{"deposit":"d9d6080a-b02e-4400-a5ee-2db1d11526ff"},"_deposit":{"created_by":83,"id":"2040676","owner":"83","owners":[83],"pid":{"revision_id":0,"type":"depid","value":"2040676"},"status":"published"},"_oai":{"id":"oai:hiroshima.repo.nii.ac.jp:02040676","sets":["1730444907710"]},"author_link":[],"control_number":"2040676","item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_title":"Radiomics analysis of intraoral ultrasonographic images for prediction of late cervical lymph node metastasis in patients with tongue cancer: influence of marginal region","subitem_title_language":"en"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Konishi, Masaru","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Shimabukuro, Kiichi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Kakimoto, Naoya","creatorNameLang":"en"}]}]},"item_1617186476635":{"attribute_name":"Access Rights","attribute_value_mlt":[{"subitem_access_right":"embargoed access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_f1cf"}]},"item_1617186499011":{"attribute_name":"Rights","attribute_value_mlt":[{"subitem_rights":"This is a pre-copyedited, author-produced version of an article accepted for publication in [DENTOMAXILLOFACIAL RADIOLOGY] following peer review. The version of record is available online at: [https://academic.oup.com/dmfr/advance-article-abstract/doi/10.1093/dmfr/twaf016/8089906?redirectedFrom=fulltext].","subitem_rights_language":"en"},{"subitem_rights":"This is not the published version. Please cite only the published version.","subitem_rights_language":"en"},{"subitem_rights":"この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。","subitem_rights_language":"ja"}]},"item_1617186609386":{"attribute_name":"Subject","attribute_value_mlt":[{"subitem_subject":"radiomics","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"machine learning model","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"ultrasonography","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"tongue cancer","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"cervical lymph node metastasis","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_1617186626617":{"attribute_name":"Description","attribute_value_mlt":[{"subitem_description":"Objectives\nTo investigate the predictability of late cervical lymph node metastasis using radiomics analysis of ultrasonographic images of tongue cancer.\nMethods\nWe selected 128 patients with tongue cancer who underwent intraoral ultrasonography at the pre-treatment, 35 of whom had late cervical lymph node metastasis. Radiomics analysis was used to extract and quantify the image features. Segmentations were performed on three regions: the hypoechoic region with a 3-mm margin (0 + 3-mm margin), the hypoechoic region alone (0-mm margin), and the 3-mm region surrounding the hypoechoic area (3-mm margin). Support vector machine (SVM) and neural network (NNT) were used as the machine learning models, and sensitivity, specificity, and area under the curve (AUC) from the receiver operating characteristic curves were determined for diagnostic performances.\nResults\nThe AUC values in the test group were 0.893, 0.929, and 0.679 for the SVM models with 0 + 3-, 0-, and 3-mm margins, respectively. The AUC values in the test group were 0.905, 0.952, and 0.821 for the NNT models with 0 + 3-, 0-, and 3-mm margins, respectively.\nConclusions\nRadiomics analysis and machine learning models using ultrasonographic images of pre-treated tongue cancer with a hypoechoic area (0-mm margin) could be the best models to predict late cervical lymph node metastasis.\n\nAdvances in knowledge\nThis study makes a significant contribution to the tongue cancer treatment because radiomics analysis and machine learning models using ultrasonographic images of before the primary treatment for the tongue cancer could predict late cervical lymph node metastasis with high accuracy.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_1617186643794":{"attribute_name":"Publisher","attribute_value_mlt":[{"subitem_publisher":"Oxford University Press","subitem_publisher_language":"en"}]},"item_1617186660861":{"attribute_name":"Date","attribute_value_mlt":[{"subitem_date_issued_datetime":"2026-03-21","subitem_date_issued_type":"Available"}]},"item_1617186702042":{"attribute_name":"Language","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_1617187056579":{"attribute_name":"Bibliographic Information","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2025-03-21","bibliographicIssueDateType":"Issued"},"bibliographicPageStart":"none","bibliographic_titles":[{"bibliographic_title":"DENTOMAXILLOFACIAL RADIOLOGY","bibliographic_titleLang":"en"}]}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_ab4af688f83e57aa","subitem_version_type":"AM"}]},"item_1617353299429":{"attribute_name":"Relation","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"http://dx.doi.org/10.1093/dmfr/twaf016","subitem_relation_type_select":"DOI"}}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2026-03-21"}],"fileDate":[{"fileDateType":"Available","fileDateValue":"2026-03-21"}],"filename":"DMFR_2025.docx","filesize":[{"value":"48 KB"}],"format":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","mimetype":"application/vnd.openxmlformats-officedocument.wordprocessingml.document","url":{"objectType":"fulltext","url":"https://hiroshima.repo.nii.ac.jp/record/2040676/files/DMFR_2025.docx"},"version_id":"808b741f-e7c9-4b82-87c7-9109f14e96bf"},{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2026-03-21"}],"filename":"data.zip","filesize":[{"value":"215 KB"}],"format":"application/zip","mimetype":"application/zip","url":{"objectType":"dataset","url":"https://hiroshima.repo.nii.ac.jp/record/2040676/files/data.zip"},"version_id":"e51d60c0-98a8-4f40-b6b6-bfff059d198f"}]},"item_1732772494514":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"The full-text file will be made open to the public on [21 March 2026］ in accordance with publisher's 'Terms and Conditions for Self-Archiving'"}]},"item_title":"Radiomics analysis of intraoral ultrasonographic images for prediction of late cervical lymph node metastasis in patients with tongue cancer: influence of marginal region","item_type_id":"40036","owner":"83","path":["1730444907710"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2025-06-02"},"publish_date":"2025-06-02","publish_status":"0","recid":"2040676","relation_version_is_last":true,"title":["Radiomics analysis of intraoral ultrasonographic images for prediction of late cervical lymph node metastasis in patients with tongue cancer: influence of marginal region"],"weko_creator_id":"83","weko_shared_id":-1},"updated":"2025-07-07T04:46:18.008735+00:00"}