A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph node metastasis of oral squamous cell carcinoma

Author:

Chen Zhen,Yu Yao,Liu Shuo,Du Wen,Hu Leihao,Wang Congwei,Li Jiaqi,Liu Jianbo,Zhang Wenbo,Peng Xin

Funder

Program of the new clinical techniques of Peking University School and Hospital of Stomatology

Publisher

Springer Science and Business Media LLC

Subject

General Dentistry

Reference39 articles.

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2. Shield KD, Ferlay J, Jemal A, Sankaranarayanan R, Chaturvedi AK, Bray F, Soerjomataram I (2017) The global incidence of lip, oral cavity, and pharyngeal cancers by subsite in 2012. CA Cancer J Clin 67:51–64. https://doi.org/10.3322/caac.21384

3. Amit M, Yen TC, Liao CT, Binenbaum Y, Chaturvedi P, Agarwal JP, Kowalski LP, Ebrahimi A, Clark JR, Cernea CR, Brandao SJ, Kreppel M, Zöller J, Fliss D, Bachar G, Shpitzer T, Bolzoni VA, Patel PR, Jonnalagadda S, Robbins KT, Shah JP, Patel SG, Gil Z (2013) Clinical nodal stage is a significant predictor of outcome in patients with oral cavity squamous cell carcinoma and pathologically negative neck metastases: results of the international consortium for outcome research. Ann Surg Oncol 20:3575–3581. https://doi.org/10.1245/s10434-013-3044-0

4. Forghani R, Yu E, Levental M, Som PM, Curtin HD (2015) Imaging evaluation of lymphadenopathy and patterns of lymph node spread in head and neck cancer. Expert Rev Anticancer Ther 15:207–224. https://doi.org/10.1586/14737140.2015.978862

5. Kelly HR, Curtin HD (2017) Chapter 2 Squamous cell carcinoma of the head and neck-imaging evaluation of regional lymph nodes and implications for management. Semin Ultrasound CT MR 38:466–478. https://doi.org/10.1053/j.sult.2017.05.003

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