Lambin P, Rios-Velazquez E, Leijenaar R, Carvalho S, van Stiphout RG, Granton P, Zegers CM, Gillies R, Boellard R, Dekker A, Aerts HJ (2012) Radiomics: extracting more information from medical images using advanced feature analysis. Eur J Cancer 48(4):441–446. https://doi.org/10.1016/j.ejca.2011.11.036
Article PubMed PubMed Central Google Scholar
Keek SA, Leijenaar RT, Jochems A, Woodruff HC (2018) A review on radiomics and the future of theranostics for patient selection inprecision medicine. Br J Radiol 91(1091):20170926. https://doi.org/10.1259/bjr.201709262
Article PubMed PubMed Central Google Scholar
Volpe S, Mastroleo F, Krengli M, Jereczek-Fossa BA (2023) Quo vadis Radiomics? Bibliometric analysis of 10-year Radiomics journey. Eur Radiol 33(10):6736–6745. https://doi.org/10.1007/s00330-023-09645-6
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 (2017) Radiomics: the bridge between medical imaging and personalized medicine. Nat Rev Clin Oncol 14(12):749–762. https://doi.org/10.1038/nrclinonc.2017.141
Shahzadi I, Zwanenburg A, Lattermann A, Linge A, Baldus C, Peeken JC, Combs SE, Diefenhardt M, Rödel C, Kirste S, Grosu AL, Baumann M, Krause M, Troost EGC, Löck S (2022) Analysis of MRI and CT-based radiomics features for personalized treatment in locally advanced rectal cancer and external validation of published radiomics models. Sci Rep 12(1):10192. https://doi.org/10.1038/s41598-022-13967-8
Article CAS PubMed PubMed Central Google Scholar
Ferlay J, Colombet M, Soerjomataram I, Dyba T, Randi G, Bettio M, Gavin A, Visser O, Bray F (2018) Cancer incidence and mortality patterns in Europe: estimates for 40 countries and 25 major cancers in 2018. Eur J Cancer 103:356–387. https://doi.org/10.1016/j.ejca.2018.07.005
Article CAS PubMed Google Scholar
Calabrese L, Bruschini R, Giugliano G, Ostuni A, Maffini F, Massaro MA, Santoro L, Navach V, Preda L, Alterio D, Ansarin M, Chiesa F (2011) Compartmental tongue surgery: long term oncologic results in the treatment of tongue cancer. Oral Oncol 47(3):174–179. https://doi.org/10.1016/j.oraloncology.2010.12.006
Brenner H (2002) Long-term survival rates of cancer patients achieved by the end of the 20th century: a period analysis. Lancet 360(9340):1131–1135. https://doi.org/10.1016/S0140-6736(02)11199-8
Zanoni DK, Montero PH, Migliacci JC, Shah JP, Wong RJ, Ganly I, Patel SG (2019) Survival outcomes after treatment of cancer of the oral cavity (1985–2015). Oral Oncol 90:115–121. https://doi.org/10.1016/j.oraloncology.2019.02.001
Article PubMed PubMed Central Google Scholar
Mossinelli C, Tagliabue M, Ruju F, Cammarata G, Volpe S, Raimondi S, Zaffaroni M, Isaksson JL, Garibaldi C, Cremonesi M, Corso F, Gaeta A, Emili I, Zorzi S, Alterio D, Marvaso G, Pepa M, De Fiori E, Maffini F, Preda L, Benazzo M, Jereczek-Fossa BA, Ansarin M (2023) The role of radiomics in tongue cancer: a new tool for prognosis prediction. Head Neck 45(4):849–861. https://doi.org/10.1002/hed.27299
Wang F, Tan R, Feng K, Hu J, Zhuang Z, Wang C, Hou J, Liu X (2022) Magnetic resonance imaging-based radiomics features associated with depth of invasion predicted lymph node metastasis and prognosis in tongue cancer. J Magn Reson Imaging 56(1):196–209. https://doi.org/10.1002/jmri.28019
Park H, Lim Y, Ko ES, Cho HH, Lee JE, Han BK, Ko EY, Choi JS, Park KW (2018) Radiomics signature on magnetic resonance imaging: association with disease-free survival in patients with invasive breast cancer. Clin Cancer Res 24(19):4705–4714. https://doi.org/10.1158/1078-0432.CCR-17-3783
Liu Z, Wang S, Dong D, Wei J, Fang C, Zhou X, Sun K, Li L, Li B, Wang M, Tian J (2019) The applications of radiomics in precision diagnosis and treatment of oncology: opportunities and challenges. Theranostics 9(5):1303–1322. https://doi.org/10.7150/thno.30309
Article PubMed PubMed Central Google Scholar
Kramer AA, Zimmerman JE (2007) Assessing the calibration of mortality benchmarks in critical care: the Hosmer–Lemeshow test revisited. Crit Care Med 35(9):2052–2056. https://doi.org/10.1097/01.CCM.0000275267.64078.B0
Moskowitz CS, Welch ML, Jacobs MA, Kurland BF, Simpson AL (2022) Radiomic analysis: study design, statistical analysis, and other bias mitigation strategies. Radiology 304(2):265–273. https://doi.org/10.1148/radiol.211597
Kazmierski M, Welch M, Kim S, McIntosh C, Rey-McIntyre K, Huang SH, Patel T, Tadic T, Milosevic M, Liu FF, Ryczkowski A, Kazmierska J, Ye Z, Plana D, Aerts HJWL, Kann BH, Bratman SV, Hope AJ, Haibe-Kains B (2023) Multi-institutional prognostic modeling in head and neck cancer: evaluating impact and generalizability of deep learning and radiomics. Cancer Res Commun 3(6):1140–1151. https://doi.org/10.1158/2767-9764.CRC-22-0152
Article PubMed PubMed Central Google Scholar
Edge SB, Compton CC (2010) The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM. Ann Surg Oncol 17(6):1471–4. https://doi.org/10.1245/s10434-010-0985-4
Brierley JD, Gospodarowicz MK, Wittekind C (eds) (2016) TNM classification of malignant tumours, 8th edn. Wiley-Blackwell, Hoboken
Alterio D, Preda L, Volpe S, Giannitto C, Riva G, KamgaPounou FA, Atac M, Giugliano G, Bruschini R, Ferrari A, Marvaso G, Cossu Rocca M, Verri E, Rossi D, Bellomi M, Jereczek-Fossa BA, Orecchia R, Ansarin M (2020) Impact of a dedicated radiologist as a member of the head and neck tumour board: a single-institution experience. Acta Otorhinolaryngol Ital 40(1):26–32. https://doi.org/10.14639/0392-100X-N0326
Article PubMed PubMed Central Google Scholar
NCCN Guidelines Version 1.2024—October 9, 2023 Head and neck cancers. Accessed Oct 2023. https://www.nccn.org/professionals/physician_gls/pdf/head-and-neck.pdf9
Orlhac F, Lecler A, Savatovski J, Goya-Outi J, Nioche C, Charbonneau F, Ayache N, Frouin F, Duron L, Buvat I (2021) How can we combat multicenter variability in MR radiomics? Validation of a correction procedure. Eur Radiol 31(4):2272–2280. https://doi.org/10.1007/s00330-020-07284-9
Ansarin M, Bruschini R, Navach V, Giugliano G, Calabrese L, Chiesa F, Medina JE, Kowalski LP, Shah JP (2019) Classification of glossectomies: proposal for tongue cancer resections. Head Neck 41(3):821–827. https://doi.org/10.1002/hed.25466
Article PubMed PubMed Central Google Scholar
van der Hulst HJ, Jansen RW, Vens C, Bos P, Schats W, de Jong MC, Martens RM, Bodalal Z, Beets-Tan RGH, van den Brekel MWM, de Graaf P, Castelijns JA (2023) The prediction of biological features using magnetic resonance imaging in head and neck squamous cell carcinoma: a systematic review and meta-analysis. Cancers 15(20):5077. https://doi.org/10.3390/cancers15205077
Article CAS PubMed PubMed Central Google Scholar
Ying Y, Xiaofeng T (2022) Value of MRI radiomics for predicting occult cervical lymph nodes metastases in early-stage oral tongue squamous cell carcinoma. Chin J Radiol 12:30–35
Elhalawani H, Fleming CW, Rao S, Chen Y, Hobbs B, Ma T, Kuzmin G, Woody NM, Joshi NP, Chute D, Ku J (2020) Prognostic impact of baseline and delta tumor radiomics features in patients with oropharyngeal cancer (OPC) treated with adaptive image guided radiotherapy (IGRT). Int J Radiat Oncol Biol Phys 108(3):e313
Traverso A, Hosni-Abdalaty A, Hasan M, Kim J, Ringash J, Cho J, Bratman S, Bailey A, Waldron J, Welch M, Irish J (2019) Investigating radiomics to predict positive lymph nodes in oral cavity squamous cell carcinoma (OSCC). Med Phys 46(6):e295
Elhalawani H, Volpe S, Barua S, Mohamed A, Yang P, Ng SP, Lai S, Hutcheson KA, Gunn GB, Rao A, Fuller CD (2018) Exploration of an early imaging biomarker of osteoradionecrosis in oropharyngeal cancer patients: case-control study of the temporal changes of mandibular radiomics features. Int J Radiat Oncol Biol Phys 100(5):1363–1364
Kirienko M, Cozzi L, Rossi A, Voulaz E, Antunovic L, Fogliata A, Chiti A, Sollini M (2018) Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions. Eur J Nucl Med Mol Imaging 45(10):1649–1660. https://doi.org/10.1007/s00259-018-3987-2
Abdel Razek AAK, Mansour M, Kamal E, Mukherji SK (2022) MR imaging of oral cavity and oropharyngeal cancer. Magn Reson Imaging Clin N Am 30(1):35–51. https://doi.org/10.1016/j.mric.2021.07.002
Lin Y, Tang M, Liu Y, Jiang M, He S, Zeng D, Cui MY (2022) A narrative review on machine learning in diagnosis and prognosis prediction for tongue squamous cell carcinoma. Transl Cancer Res 11(12):4409–4415. https://doi.org/10.21037/tcr-22-1669
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