{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T19:33:30Z","timestamp":1786995210641,"version":"build-2736575974"},"reference-count":37,"publisher":"Elsevier BV","issue":"4","license":[{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T00:00:00Z","timestamp":1711929600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["oooojournal.net","clinicalkey.fr","clinicalkey.jp","clinicalkey.com.au","clinicalkey.es","clinicalkey.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1016\/j.oooo.2023.12.789","type":"journal-article","created":{"date-parts":[[2023,12,26]],"date-time":"2023-12-26T21:47:34Z","timestamp":1703627254000},"page":"421-430","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":8,"title":["Machine learning based on magnetic resonance imaging and clinical parameters helps predict mesenchymal-epithelial transition factor expression in oral tongue squamous cell carcinoma: a pilot study"],"prefix":"10.1016","volume":"137","author":[{"given":"Gongxin","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zebin","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiliang","family":"Ren","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"RongHui","family":"Xia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingwei","family":"Wu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofeng","family":"Tao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.oooo.2023.12.789_bib0001","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1001\/archotol.129.1.83","article-title":"Elective management of the clinically negative neck by otolaryngologists in patients with oral tongue cancer","volume":"129","author":"Werning","year":"2003","journal-title":"Arch Otolaryngol Head Neck Surg"},{"key":"10.1016\/j.oooo.2023.12.789_bib0002","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1002\/hed.10004","article-title":"Presentation, treatment, and outcome of oral cavity cancer: a National Cancer Data Base report","volume":"24","author":"Funk","year":"2002","journal-title":"Head Neck"},{"key":"10.1016\/j.oooo.2023.12.789_bib0003","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1159\/000381717","article-title":"Update on head and neck cancer: current knowledge on epidemiology, risk factors, molecular features and novel therapies","volume":"89","author":"Pezzuto","year":"2015","journal-title":"Oncology"},{"key":"10.1016\/j.oooo.2023.12.789_bib0004","doi-asserted-by":"crossref","first-page":"856","DOI":"10.1038\/bjc.2017.244","article-title":"Prognostic biomarkers for oral tongue squamous cell carcinoma: a systematic review and meta-analysis","volume":"117","author":"Almangush","year":"2017","journal-title":"Br J Cancer"},{"key":"10.1016\/j.oooo.2023.12.789_bib0005","doi-asserted-by":"crossref","first-page":"2953","DOI":"10.1007\/s00405-014-3254-5","article-title":"The prognostic value of immunohistochemical markers for oral tongue squamous cell carcinoma","volume":"272","author":"Hwa","year":"2015","journal-title":"Eur Arch Otorhinolaryngol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0006","first-page":"5973","article-title":"Crizotinib fails to enhance the effect of radiation in head and neck squamous cell carcinoma xenografts","volume":"35","author":"Baschnagel","year":"2015","journal-title":"Anticancer Res"},{"key":"10.1016\/j.oooo.2023.12.789_bib0007","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1097\/CAD.0000000000000585","article-title":"FoxM1 promotes epithelial-mesenchymal transition, invasion, and migration of tongue squamous cell carcinoma cells through a c-Met\/AKT-dependent positive feedback loop","volume":"29","author":"Yang","year":"2018","journal-title":"Anti-Cancer Drugs"},{"key":"10.1016\/j.oooo.2023.12.789_bib0008","doi-asserted-by":"crossref","first-page":"1111","DOI":"10.1016\/j.humpath.2006.03.020","article-title":"Prognostic value of cell motility activation factors in patients with tongue squamous cell carcinoma","volume":"37","author":"Endo","year":"2006","journal-title":"Human Pathol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0009","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1186\/1756-0500-7-6","article-title":"Expressions and clinical significances of c-MET, p-MET and E2f-1 in human gastric carcinoma","volume":"7","author":"Wu","year":"2014","journal-title":"BMC Res Notes"},{"key":"10.1016\/j.oooo.2023.12.789_bib0010","doi-asserted-by":"crossref","first-page":"1640","DOI":"10.1021\/acsbiomaterials.0c01807","article-title":"Met-targeted dual-modal MRI\/NIR II imaging for specific recognition of head and neck squamous cell carcinoma","volume":"7","author":"Wu","year":"2021","journal-title":"ACS Biomater Sci Eng"},{"key":"10.1016\/j.oooo.2023.12.789_bib0011","doi-asserted-by":"crossref","first-page":"787","DOI":"10.1148\/radiographics.16.4.8835972","article-title":"CT and MR imaging of squamous cell carcinoma of the tongue and floor of the mouth","volume":"16","author":"Sigal","year":"1996","journal-title":"Radiographics"},{"key":"10.1016\/j.oooo.2023.12.789_bib0012","doi-asserted-by":"crossref","first-page":"808","DOI":"10.1097\/RCT.0b013e3181f01796","article-title":"Diffusion-weighted magnetic resonance imaging of head and neck","volume":"34","author":"Razek","year":"2010","journal-title":"J Comput Assist Tomograp"},{"key":"10.1016\/j.oooo.2023.12.789_bib0013","doi-asserted-by":"crossref","first-page":"440","DOI":"10.1002\/hed.23575","article-title":"Diffusion-weighted imaging in head and neck squamous cell carcinomas: a systematic review","volume":"37","author":"Driessen","year":"2015","journal-title":"Head Neck"},{"key":"10.1016\/j.oooo.2023.12.789_bib0014","doi-asserted-by":"crossref","first-page":"121","DOI":"10.1016\/j.mric.2017.08.011","article-title":"Diffusion-weighted imaging in head and neck cancer: technique, limitations, and applications","volume":"26","author":"Connolly","year":"2018","journal-title":"Magnet Reason Imag Clinics North Am"},{"key":"10.1016\/j.oooo.2023.12.789_bib0015","doi-asserted-by":"crossref","first-page":"740","DOI":"10.1007\/s11307-018-1283-y","article-title":"Histogram analysis parameters derived from conventional T1- and T2-weighted images can predict different histopathological features including expression of Ki67, EGFR, VEGF, HIF-1\u03b1, and p53 and cell count in head and neck squamous cell carcinoma","volume":"21","author":"Meyer","year":"2019","journal-title":"Mol Imag Biol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0016","doi-asserted-by":"crossref","first-page":"318","DOI":"10.1007\/s11307-017-1115-5","article-title":"Histogram analysis of T1-weighted, T2-weighted, and postcontrast T1-weighted images in primary CNS lymphoma: correlations with histopathological findings-a preliminary study","volume":"20","author":"Meyer","year":"2018","journal-title":"Mol Imag Biol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0017","doi-asserted-by":"crossref","first-page":"911","DOI":"10.1016\/j.tranon.2017.09.003","article-title":"MRI texture analysis reflects histopathology parameters in thyroid cancer: a first preliminary study","volume":"10","author":"Meyer","year":"2017","journal-title":"Translat Oncol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0018","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1186\/s12880-017-0239-z","article-title":"MRI texture analysis in differentiating luminal A and luminal B breast cancer molecular subtypes: a feasibility study","volume":"17","author":"Holli-Helenius","year":"2017","journal-title":"BMC Med Imag"},{"key":"10.1016\/j.oooo.2023.12.789_bib0019","doi-asserted-by":"crossref","first-page":"166","DOI":"10.3174\/ajnr.A4110","article-title":"MRI texture analysis predicts p53 status in head and neck squamous cell carcinoma","volume":"36","author":"Dang","year":"2015","journal-title":"Am J Neuroradiol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0020","doi-asserted-by":"crossref","first-page":"1878","DOI":"10.3174\/ajnr.A5792","article-title":"Correlation between human papillomavirus status and quantitative MR imaging parameters including diffusion-weighted imaging and texture features in oropharyngeal carcinoma","volume":"39","author":"Ravanelli","year":"2018","journal-title":"Am J Neuroradio"},{"key":"10.1016\/j.oooo.2023.12.789_bib0021","doi-asserted-by":"crossref","first-page":"431","DOI":"10.1016\/j.ijom.2021.07.010","article-title":"The accuracy of magnetic resonance imaging to measure the depth of invasion in oral tongue cancer: a systematic review and meta-analysis","volume":"51","author":"Li","year":"2022","journal-title":"Int J Oral Maxillofac Surg"},{"key":"10.1016\/j.oooo.2023.12.789_bib0022","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1007\/s00330-021-08148-6","article-title":"Assessment of tumor depth in oral tongue squamous cell carcinoma with multiparametric MRI: correlation with pathology","volume":"32","author":"Tang","year":"2022","journal-title":"Eur Radiol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0023","doi-asserted-by":"crossref","first-page":"W132","DOI":"10.2214\/AJR.18.20742","article-title":"Unenhanced CT texture analysis of clear cell renal cell carcinomas: a machine learning-based study for predicting histopathologic nuclear grade","volume":"212","author":"Kocak","year":"2019","journal-title":"AJR Am J Roentgenol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0024","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A guideline of selecting and reporting intraclass correlation coefficients for reliability research","volume":"15","author":"Koo","year":"2016","journal-title":"J Chiropract Med"},{"key":"10.1016\/j.oooo.2023.12.789_bib0025","doi-asserted-by":"crossref","first-page":"453","DOI":"10.1177\/0284185120931683","article-title":"Radiomics of apparent diffusion coefficient maps to predict histologic grade in squamous cell carcinoma of the oral tongue and floor of mouth: a preliminary study","volume":"62","author":"Ren","year":"2021","journal-title":"Acta Radiologica"},{"key":"10.1016\/j.oooo.2023.12.789_bib0026","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1136\/eb-2012-100645","article-title":"Principles for high-quality, high-value testing","volume":"18","author":"Power","year":"2013","journal-title":"Evidence-Based Med"},{"key":"10.1016\/j.oooo.2023.12.789_bib0027","series-title":"Applied Logistic Regression","author":"Lemeshow","year":"2013"},{"key":"10.1016\/j.oooo.2023.12.789_bib0028","doi-asserted-by":"crossref","first-page":"890","DOI":"10.3174\/ajnr.A5112","article-title":"A multiparametric model for mapping cellularity in glioblastoma using radiographically localized biopsies","volume":"38","author":"Chang","year":"2017","journal-title":"Am J Neuroradiol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0029","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1016\/j.mri.2018.07.013","article-title":"ADC-histogram analysis in head and neck squamous cell carcinoma. Associations with different histopathological features including expression of EGFR, VEGF, HIF-1alpha, Her 2 and p53. A preliminary study","volume":"54","author":"Meyer","year":"2018","journal-title":"Magnet Reson Imag"},{"key":"10.1016\/j.oooo.2023.12.789_bib0030","doi-asserted-by":"crossref","first-page":"100","DOI":"10.1007\/s11604-020-01047-8","volume":"39","author":"Baba","year":"2021","journal-title":"Jpn J Radiol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0031","doi-asserted-by":"crossref","first-page":"821","DOI":"10.1007\/s11604-020-00982-w","article-title":"Radiological approach for the newly incorporated T staging factor, depth of invasion (DOI), of the oral tongue cancer in the 8th edition of American Joint Committee on Cancer (AJCC) staging manual: assessment of the necessity for elective neck dissection","volume":"38","author":"Baba","year":"2020","journal-title":"Jpn J Radiol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0032","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1016\/j.critrevonc.2004.09.004","article-title":"Hepatocyte growth factor, its receptor, and their potential value in cancer therapies","volume":"53","author":"Jiang","year":"2005","journal-title":"Critic Rev Oncol\/Hematol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0033","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach Learn"},{"key":"10.1016\/j.oooo.2023.12.789_bib0034","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1186\/s12911-019-1004-8","article-title":"Comparing different supervised machine learning algorithms for disease prediction","volume":"19","author":"Uddin","year":"2019","journal-title":"BMC Med Inform Decis Mak"},{"key":"10.1016\/j.oooo.2023.12.789_bib0035","doi-asserted-by":"crossref","first-page":"129","DOI":"10.2214\/AJR.19.21709","article-title":"Radiomics of renal masses: systematic review of reproducibility and validation strategies","volume":"214","author":"Kocak","year":"2020","journal-title":"Am J Roentgenol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0036","doi-asserted-by":"crossref","first-page":"4576","DOI":"10.1007\/s00330-020-07562-6","article-title":"Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics","volume":"31","author":"Mao","year":"2021","journal-title":"Eur Radiol"},{"key":"10.1016\/j.oooo.2023.12.789_bib0037","doi-asserted-by":"crossref","first-page":"8692","DOI":"10.1007\/s00330-022-08842-z","article-title":"Intestinal fibrosis classification in patients with Crohn's disease using CT enterography-based deep learning: comparisons with radiomics and radiologists","volume":"32","author":"Meng","year":"2022","journal-title":"Eur Radiol"}],"container-title":["Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S221244032301547X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S221244032301547X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2024,4,3]],"date-time":"2024-04-03T19:21:02Z","timestamp":1712172062000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S221244032301547X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,4]]},"references-count":37,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["S221244032301547X"],"URL":"https:\/\/doi.org\/10.1016\/j.oooo.2023.12.789","relation":{},"ISSN":["2212-4403"],"issn-type":[{"value":"2212-4403","type":"print"}],"subject":[],"published":{"date-parts":[[2024,4]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Machine learning based on magnetic resonance imaging and clinical parameters helps predict mesenchymal-epithelial transition factor expression in oral tongue squamous cell carcinoma: a pilot study","name":"articletitle","label":"Article Title"},{"value":"Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.oooo.2023.12.789","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2024 Published by Elsevier Inc.","name":"copyright","label":"Copyright"}]}}