{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:40:32Z","timestamp":1784162432689,"version":"3.55.0"},"reference-count":28,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T00:00:00Z","timestamp":1739836800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T00:00:00Z","timestamp":1739836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001691","name":"Japan Society for the Promotion of Science","doi-asserted-by":"publisher","award":["22K10115"],"award-info":[{"award-number":["22K10115"]}],"id":[{"id":"10.13039\/501100001691","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Oral Radiol"],"published-print":{"date-parts":[[2025,7]]},"DOI":"10.1007\/s11282-025-00810-9","type":"journal-article","created":{"date-parts":[[2025,2,18]],"date-time":"2025-02-18T16:17:31Z","timestamp":1739895451000},"page":"388-395","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Can MRI radiomics predict neck metastasis at initial diagnosis in patients with squamous cell carcinoma of the tongue?"],"prefix":"10.1007","volume":"41","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-3730-2750","authenticated-orcid":false,"given":"Arisa","family":"Oki","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shin","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junichiro","family":"Sakamoto","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hiroshi","family":"Watanabe","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Masahiko","family":"Miura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,2,18]]},"reference":[{"key":"810_CR1","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1016\/j.oraloncology.2018.10.013","volume":"87","author":"AK D\u2019Cruz","year":"2018","unstructured":"D\u2019Cruz AK, Vaish R, Dhar H. Oral cancers: current status. Oral Oncol. 2018;87:64\u20139. https:\/\/doi.org\/10.1016\/j.oraloncology.2018.10.013.","journal-title":"Oral Oncol"},{"key":"810_CR2","doi-asserted-by":"publisher","first-page":"C1611","DOI":"10.1152\/ajpcell.00098.2022","volume":"323","author":"K Matsuo","year":"2022","unstructured":"Matsuo K, Akiba J, Kusukawa J, Yano H. Squamous cell carcinoma of the tongue: subtypes and morphological features affecting prognosis. Am J Physiol Cell Physiol. 2022;323:C1611\u201323. https:\/\/doi.org\/10.1152\/ajpcell.00098.2022.","journal-title":"Am J Physiol Cell Physiol"},{"key":"810_CR3","doi-asserted-by":"publisher","first-page":"508","DOI":"10.1002\/cncr.11526","volume":"98","author":"JS Greenberg","year":"2003","unstructured":"Greenberg JS, El Naggar AK, Mo V, Roberts D, Myers JN. Disparity in pathologic and clinical lymph node staging in oral tongue carcinoma. Implication for therapeutic decision making: implications for therapeutic decision making. Cancer. 2003;98:508\u201315. https:\/\/doi.org\/10.1002\/cncr.11526.","journal-title":"Cancer"},{"key":"810_CR4","doi-asserted-by":"publisher","first-page":"36","DOI":"10.1111\/idh.12051","volume":"12","author":"KA Moore","year":"2014","unstructured":"Moore KA, Ford PJ, Farah CS. Support needs and quality of life in oral cancer: a systematic review. Int J Dent Hyg. 2014;12:36\u201347. https:\/\/doi.org\/10.1111\/idh.12051.","journal-title":"Int J Dent Hyg"},{"key":"810_CR5","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1016\/j.jormas.2021.03.008","volume":"123","author":"O Hamdy","year":"2022","unstructured":"Hamdy O, Ros MH, Saleh MM, Eladl AE, Metwally IH. Is it essential to remove the submandibular gland in neck dissection in tongue cancer patients? J Stomatol Oral Maxillofac Surg. 2022;123:239\u201342. https:\/\/doi.org\/10.1016\/j.jormas.2021.03.008.","journal-title":"J Stomatol Oral Maxillofac Surg"},{"key":"810_CR6","doi-asserted-by":"publisher","first-page":"1199","DOI":"10.1016\/j.ejso.2016.10.026","volume":"43","author":"EM Gane","year":"2017","unstructured":"Gane EM, Michaleff ZA, Cottrell MA, McPhail SM, Hatton AL, Panizza BJ, O\u2019Leary SPO. Prevalence, incidence, and risk factors for shoulder and neck dysfunction after neck dissection: a systematic review. Eur J Surg Oncol. 2017;43:1199\u2013218.","journal-title":"Eur J Surg Oncol"},{"key":"810_CR7","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1002\/cncr.22959","volume":"110","author":"C-T Liao","year":"2007","unstructured":"Liao C-T, Wang H-M, Chang JT-C, Ng S-H, Hsueh C, Lee L-Y, Lin CH, Chen IH, Huang SF, Yen TC. Analysis of risk factors for distant metastases in squamous cell carcinoma of the oral cavity. Cancer. 2007;110:1501\u20138.","journal-title":"Cancer"},{"key":"810_CR8","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1002\/cncr.22814","volume":"110","author":"C-T Liao","year":"2007","unstructured":"Liao C-T, Chang JT-C, Wang H-M, Ng S-H, Hsueh C, Lee L-Y, Lin C-H, Chen I-H, Huang S-F, Cheng AJ, Yen T-C. Survival in squamous cell carcinoma of the oral cavity: differences between pT4 N0 and other stage IVA categories. Cancer. 2007;110:564\u201371.","journal-title":"Cancer"},{"key":"810_CR9","doi-asserted-by":"publisher","first-page":"329","DOI":"10.1016\/j.oraloncology.2011.10.017","volume":"48","author":"C-T Liao","year":"2012","unstructured":"Liao C-T, Hsueh C, Lee L-Y, Lin C-Y, Fan K-H, Wang H-M, Huang SF, Chen IH, Na SH, Tsao CK, Huang YC, Yen TC. Neck dissection field and lymph node density predict prognosis in patients with oral cavity cancer and pathological node metastases treated with adjuvant therapy. Oral Oncol. 2012;48:329\u201336. https:\/\/doi.org\/10.1016\/j.oraloncology.2011.10.017.","journal-title":"Oral Oncol"},{"key":"810_CR10","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1097\/00000658-198704000-00002","volume":"205","author":"AE Chang","year":"1987","unstructured":"Chang AE, Matory YL, Dwyer AJ, Hill SC, Girton ME, Steinberg SM, Knop RH, Frank JA, Hyams D, Doppman JL, Rosenberg SA. Magnetic resonance imaging versus computed tomography in the evaluation of soft tissue tumors of the extremities. Ann Surg. 1987;205:340\u20138. https:\/\/doi.org\/10.1097\/00000658-198704000-00002.","journal-title":"Ann Surg"},{"key":"810_CR11","doi-asserted-by":"publisher","first-page":"488","DOI":"10.2967\/jnumed.118.222893","volume":"61","author":"ME Mayerhoefer","year":"2020","unstructured":"Mayerhoefer ME, Materka A, Langs G, H\u00e4ggstr\u00f6m I, Szczypi\u0144ski P, Gibbs P, Cook G. Introduction to radiomics. J Nucl Med. 2020;61:488\u201395. https:\/\/doi.org\/10.2967\/jnumed.118.222893.","journal-title":"J Nucl Med"},{"key":"810_CR12","doi-asserted-by":"publisher","first-page":"471","DOI":"10.1186\/s12967-022-03688-x","volume":"20","author":"G-H Su","year":"2022","unstructured":"Su G-H, Xiao Y, Jiang L, Zheng R-C, Wang H, Chen Y, Gu YJ, You C, Shao ZM. Radiomics features for assessing tumor-infiltrating lymphocytes correlate with molecular traits of triple-negative breast cancer. J Transl Med. 2022;20:471. https:\/\/doi.org\/10.1186\/s12967-022-03688-x.","journal-title":"J Transl Med"},{"key":"810_CR13","doi-asserted-by":"publisher","first-page":"937","DOI":"10.3389\/fonc.2020.00937","volume":"10","author":"L Zhang","year":"2020","unstructured":"Zhang L, Giuste F, Vizcarra JC, Li X, Gutman D. Radiomics features predict CIC mutation status in lower grade glioma. Front Oncol. 2020;10:937. https:\/\/doi.org\/10.3389\/fonc.2020.00937.","journal-title":"Front Oncol"},{"key":"810_CR14","doi-asserted-by":"publisher","first-page":"749","DOI":"10.1038\/nrclinonc.2017.141","volume":"14","author":"P Lambin","year":"2017","unstructured":"Lambin P, Leijenaar RTH, Deist TM, Peerlings J, de Jong EEC, van Timmeren J, Sanduleanu S, Larue RTHM, Even AJG, Jochems A, van Wijk Y, Woodruff H, van Soest J, Lustberg T, Roelofs E, van Elmpt W, Dekker A, Mottaghy FM, Wildberger JE, Walsh S. Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol. 2017;14:749\u201362. https:\/\/doi.org\/10.1038\/nrclinonc.2017.141.","journal-title":"Nat Rev Clin Oncol"},{"key":"810_CR15","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2022.773840","volume":"12","author":"X Zhang","year":"2022","unstructured":"Zhang X, Zhang Y, Zhang G, Qiu X, Tan W, Yin X, Liao L. Deep learning with radiomics for disease diagnosis and treatment: Challenges and potential. Front Oncol. 2022;12: 773840. https:\/\/doi.org\/10.3389\/fonc.2022.773840.","journal-title":"Front Oncol"},{"key":"810_CR16","unstructured":"Abramoff MD, Magalhaes PJ, Ram SJ. Image processing with ImageJ. Biophotonics International. 2004. https:\/\/imagej.net\/ij\/docs\/pdfs\/image_processing_with_imagej.pdf"},{"key":"810_CR17","doi-asserted-by":"publisher","first-page":"1323","DOI":"10.1016\/j.mri.2012.05.001","volume":"30","author":"A Fedorov","year":"2012","unstructured":"Fedorov A, Beichel R, Kalpathy-Cramer J, Finet J, Fillion-Robin J-C, Pujol S, Bauer C, Jennings D, Fennessy F, Sanka M, Buatti J, Aylward S, Miller JV, Pieper S, Kikinis R. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012;30:1323\u201341. https:\/\/doi.org\/10.1016\/j.mri.2012.05.001.","journal-title":"Magn Reson Imaging"},{"key":"810_CR18","doi-asserted-by":"publisher","first-page":"e104","DOI":"10.1158\/0008-5472.CAN-17-0339","volume":"77","author":"JJM van Griethuysen","year":"2017","unstructured":"van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan RGH, Fillion-Robin JC, Pieper S, Aerts HJWL. Computational radiomics system to decode the radiographic phenotype. Cancer Res. 2017;77:e104\u20137. https:\/\/doi.org\/10.1158\/0008-5472.CAN-17-0339.","journal-title":"Cancer Res"},{"key":"810_CR19","unstructured":"Materka A, Strzelecki M (1998). Texture analysis methods: a review. COST B11 report. Brussels"},{"key":"810_CR20","doi-asserted-by":"publisher","first-page":"2082","DOI":"10.1002\/lary.27753","volume":"129","author":"MM Kozak","year":"2019","unstructured":"Kozak MM, Shah J, Chen M, Schaberg K, von Eyben R, Chen JJ, Bui T, Kong C, Kaplan M, Divi V, Hara W. Depth of invasion alone as a prognostic factor in low-risk early-stage oral cavity carcinoma: depth of invasion in oral cavity cancer. Laryngoscope. 2019;129:2082\u20136. https:\/\/doi.org\/10.1002\/lary.27753.","journal-title":"Laryngoscope"},{"key":"810_CR21","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1158\/2159-8290.CD-21-1059","volume":"12","author":"D Hanahan","year":"2022","unstructured":"Hanahan D. Hallmarks of cancer: new dimensions. Cancer Discov. 2022;12:31\u201346. https:\/\/doi.org\/10.1158\/2159-8290.CD-21-1059.","journal-title":"Cancer Discov"},{"key":"810_CR22","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1186\/s40364-023-00494-5","volume":"11","author":"A Corti","year":"2023","unstructured":"Corti A, De Cecco L, Cavalieri S, Lenoci D, Pistore F, Calareso G, Mattavelli D, de Graaf P, Leemans CR, Brakenhoff RH, Ravanelli M, Poli T, Licitra L, Corino V, Mainardi L. MRI-based radiomic prognostic signature for locally advanced oral cavity squamous cell carcinoma: development, testing and comparison with genomic prognostic signatures. Biomark Res. 2023;11:69. https:\/\/doi.org\/10.1186\/s40364-023-00494-5.","journal-title":"Biomark Res"},{"key":"810_CR23","doi-asserted-by":"publisher","first-page":"6311","DOI":"10.1007\/s00330-020-06962-y","volume":"30","author":"SW Mes","year":"2020","unstructured":"Mes SW, van Velden FHP, Peltenburg B, Peeters CFW, Te Beest DE, van de Wiel MA, Mekke J, Mulder DC, Martens RM, Castelijns JA, Pameijer FA, de Bree R, Boellaard R, Leemans CR, Brakenhoff RH, de Graaf P. Outcome prediction of head and neck squamous cell carcinoma by MRI radiomic signatures. Eur Radiol. 2020;30:6311\u201321. https:\/\/doi.org\/10.1007\/s00330-020-06962-y.","journal-title":"Eur Radiol"},{"key":"810_CR24","doi-asserted-by":"publisher","first-page":"4277","DOI":"10.1016\/j.csbj.2023.08.020","volume":"21","author":"A Vidiri","year":"2023","unstructured":"Vidiri A, Marzi S, Piludu F, Lucchese S, Dolcetti V, Polito E, Mazzola F, Marchesi P, Merenda E, Sperduti I, Pellini R, Covello R. Magnetic resonance imaging-based prediction models for tumor stage and cervical lymph node metastasis of tongue squamous cell carcinoma. Comput Struct Biotechnol J. 2023;21:4277\u201387. https:\/\/doi.org\/10.1016\/j.csbj.2023.08.020.","journal-title":"Comput Struct Biotechnol J"},{"key":"810_CR25","doi-asserted-by":"publisher","first-page":"6429","DOI":"10.1007\/s00330-021-07731-1","volume":"31","author":"Y Yuan","year":"2021","unstructured":"Yuan Y, Ren J, Tao X. Machine learning-based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma. Eur Radiol. 2021;31:6429\u201337. https:\/\/doi.org\/10.1007\/s00330-021-07731-1.","journal-title":"Eur Radiol"},{"key":"810_CR26","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1002\/jmri.28019","volume":"56","author":"F Wang","year":"2022","unstructured":"Wang F, Tan R, Feng K, Hu J, Zhuang Z, Wang C, Hou J, Liu X. Magnetic resonance imaging-based radiomics features associated with depth of invasion predicted lymph node metastasis and prognosis in tongue cancer. J Magn Reson Imaging. 2022;56:196\u2013209. https:\/\/doi.org\/10.1002\/jmri.28019.","journal-title":"J Magn Reson Imaging"},{"key":"810_CR27","doi-asserted-by":"publisher","first-page":"10545","DOI":"10.1038\/s41598-018-28895-9","volume":"8","author":"M Shafiq-Ul-Hassan","year":"2018","unstructured":"Shafiq-Ul-Hassan M, Latifi K, Zhang G, Ullah G, Gillies R, Moros E. Voxel size and gray level normalization of CT radiomic features in lung cancer. Sci Rep. 2018;8:10545. https:\/\/doi.org\/10.1038\/s41598-018-28895-9.","journal-title":"Sci Rep"},{"key":"810_CR28","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0213459","volume":"14","author":"L Duron","year":"2019","unstructured":"Duron L, Balvay D, VandePerre S, Bouchouicha A, Savatovsky J, Sadik J-C, Thomassin-Naggara I, Fournier L, Lecler A. Gray-level discretization impacts reproducible MRI radiomics texture features. PLoS ONE. 2019;14: e0213459. https:\/\/doi.org\/10.1371\/journal.pone.0213459.","journal-title":"PLoS ONE"}],"container-title":["Oral Radiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11282-025-00810-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11282-025-00810-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11282-025-00810-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,14]],"date-time":"2025-06-14T15:44:21Z","timestamp":1749915861000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11282-025-00810-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,18]]},"references-count":28,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2025,7]]}},"alternative-id":["810"],"URL":"https:\/\/doi.org\/10.1007\/s11282-025-00810-9","relation":{},"ISSN":["0911-6028","1613-9674"],"issn-type":[{"value":"0911-6028","type":"print"},{"value":"1613-9674","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,2,18]]},"assertion":[{"value":"12 November 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"30 January 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 February 2025","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"None of the authors have any conflicts of interest to declare with respect to this study.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of interest"}},{"value":"The Institutional Review Board (D2022-022).","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval"}},{"value":"All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1975, as revised in 2008 (5). The requirement for informed consent was waived owing to the retrospective nature of the study.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}}]}}