Can MRI radiomics predict neck metastasis at initial diagnosis in patients with squamous cell carcinoma of the tongue?

D’Cruz AK, Vaish R, Dhar H. Oral cancers: current status. Oral Oncol. 2018;87:64–9. https://doi.org/10.1016/j.oraloncology.2018.10.013.

Article  PubMed  Google Scholar 

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:C1611–23. https://doi.org/10.1152/ajpcell.00098.2022.

Article  CAS  PubMed  Google Scholar 

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;98:508–15. https://doi.org/10.1002/cncr.11526.

Article  PubMed  Google Scholar 

Moore KA, Ford PJ, Farah CS. Support needs and quality of life in oral cancer: a systematic review. Int J Dent Hyg. 2014;12:36–47. https://doi.org/10.1111/idh.12051.

Article  CAS  PubMed  Google Scholar 

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;123:239–42. https://doi.org/10.1016/j.jormas.2021.03.008.

Article  PubMed  Google Scholar 

Gane EM, Michaleff ZA, Cottrell MA, McPhail SM, Hatton AL, Panizza BJ, O’Leary SPO. Prevalence, incidence, and risk factors for shoulder and neck dysfunction after neck dissection: a systematic review. Eur J Surg Oncol. 2017;43:1199–218.

Article  CAS  PubMed  Google Scholar 

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;110:1501–8.

Article  PubMed  Google Scholar 

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;110:564–71.

Article  PubMed  Google Scholar 

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;48:329–36. https://doi.org/10.1016/j.oraloncology.2011.10.017.

Article  PubMed  Google Scholar 

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;205:340–8. https://doi.org/10.1097/00000658-198704000-00002.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Mayerhoefer ME, Materka A, Langs G, Häggström I, Szczypiński P, Gibbs P, Cook G. Introduction to radiomics. J Nucl Med. 2020;61:488–95. https://doi.org/10.2967/jnumed.118.222893.

Article  CAS  PubMed  PubMed Central  Google Scholar 

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.

Article  CAS  PubMed  PubMed Central  Google Scholar 

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.

Article  PubMed  PubMed Central  Google Scholar 

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;14:749–62. https://doi.org/10.1038/nrclinonc.2017.141.

Article  PubMed  Google Scholar 

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.

Article  PubMed  PubMed Central  Google Scholar 

Abramoff MD, Magalhaes PJ, Ram SJ. Image processing with ImageJ. Biophotonics International. 2004. https://imagej.net/ij/docs/pdfs/image_processing_with_imagej.pdf

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;30:1323–41. https://doi.org/10.1016/j.mri.2012.05.001.

Article  PubMed  PubMed Central  Google Scholar 

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:e104–7. https://doi.org/10.1158/0008-5472.CAN-17-0339.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Materka A, Strzelecki M (1998). Texture analysis methods: a review. COST B11 report. Brussels

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;129:2082–6. https://doi.org/10.1002/lary.27753.

Article  PubMed  Google Scholar 

Hanahan D. Hallmarks of cancer: new dimensions. Cancer Discov. 2022;12:31–46. https://doi.org/10.1158/2159-8290.CD-21-1059.

Article  CAS  PubMed  Google Scholar 

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.

Article  PubMed  PubMed Central  Google Scholar 

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;30:6311–21. https://doi.org/10.1007/s00330-020-06962-y.

Article  PubMed  PubMed Central  Google Scholar 

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;21:4277–87. https://doi.org/10.1016/j.csbj.2023.08.020.

Article  CAS  PubMed  PubMed Central  Google Scholar 

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;31:6429–37. https://doi.org/10.1007/s00330-021-07731-1.

Article  PubMed  Google Scholar 

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;56:196–209. https://doi.org/10.1002/jmri.28019.

Article  PubMed  Google Scholar 

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.

Article  CAS  PubMed  PubMed Central  Google Scholar 

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.

Article  CAS  PubMed  PubMed Central  Google Scholar 

Comments (0)

No login
gif