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1. Turner JH, Reh DD. Incidence and survival in patients with sinonasal cancer: a historical analysis of population-based data. Head Neck. Jun 2012;34(6):877-85. doi:10.1002/hed.21830 [doi]
2. Chatelet F, Simon F, Bedarida V, et al. Surgical Management of Sinonasal Cancers: A Comprehensive Review. Cancers (Basel). Aug 8 2021;13(16)doi:10.3390/cancers13163995 [doi]
3. Resto VA, Deschler DG. Sinonasal malignancies. Otolaryngol Clin North Am. Apr 2004;37(2):473-87. doi:10.1016/s0030-6665(03)00159-2 [doi]
4. Thoeny HC, De Keyzer F, King AD. Diffusion-weighted MR imaging in the head and neck. Radiology. Apr 2012;263(1):19-32. doi:10.1148/radiol.11101821 [doi]
5. Xian J, Zhang Z, Wang Z, et al. Value of MR imaging in the differentiation of benign and malignant orbital tumors in adults. Eur Radiol. Jul 2010;20(7):1692-702. doi:10.1007/s00330-009-1711-0 [doi]
6. Sinkus R, Van Beers BE, Vilgrain V, DeSouza N, Waterton JC. Apparent diffusion coefficient from magnetic resonance imaging as a biomarker in oncology drug development. European Journal of Cancer. 2012/03/01/ 2012;48(4):425-431. doi:https://doi.org/10.1016/j.ejca.2011.11.034 [doi]
7. Liu Z, Wang S, Dong D, et al. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges. Theranostics. 2019;9(5):1303-1322. doi:10.7150/thno.30309 [doi]
8. van Timmeren JE, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B. Radiomics in medical imaging-"how-to" guide and critical reflection. Insights Imaging. Aug 12 2020;11(1):91. doi:10.1186/s13244-020-00887-2 [doi]
9. Peng Z, Wang Y, Wang Y, et al. Application of radiomics and machine learning in head and neck cancers. Int J Biol Sci. 2021;17(2):475-486. doi:10.7150/ijbs.55716 [doi]
10. Bi S, Li J, Wang T, et al. Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study. Eur Radiol. Oct 2022;32(10):6933-6942. doi:10.1007/s00330-022-08780-w [doi]
11. Wang T, Hao J, Gao A, et al. An MRI-Based Radiomics Nomogram to Assess Recurrence Risk in Sinonasal Malignant Tumors. J Magn Reson Imaging. Aug 2023;58(2):520-531. doi:10.1002/jmri.28548 [doi]