Prediction model for cervical lymph node metastasis in human papillomavirus-related oropharyngeal squamous cell carcinomas
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-021-07766-4.pdf
Reference39 articles.
1. Ang KK, Harris J, Wheeler R et al (2010) Human papillomavirus and survival of patients with oropharyngeal cancer. N Engl J Med 363:24–35
2. Chaturvedi AK, Engels EA, Pfeiffer RM et al (2011) Human papillomavirus and rising oropharyngeal cancer incidence in the United States. J Clin Oncol 29:4294–4301
3. O’Sullivan B, Huang SH, Su J et al (2016) Development and validation of a staging system for HPV-related oropharyngeal cancer by the International Collaboration on Oropharyngeal cancer Network for Staging (ICON-S): a multicentre cohort study. Lancet Oncol 17:440–451
4. Chaturvedi AK, Anderson WF, Lortet-Tieulent J et al (2013) Worldwide trends in incidence rates for oral cavity and oropharyngeal cancers. J Clin Oncol 31:4550–4559
5. Amin MB, Greene FL, Edge SB et al (2017) The Eighth Edition AJCC Cancer Staging Manual: continuing to build a bridge from a population-based to a more “personalized” approach to cancer staging. CA Cancer J Clin 67:93–99
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1. Assessment of Radiologic Extranodal Extension Using Combinatorial Analysis of Nodal Margin Breakdown and Metastatic Burden in Oropharyngeal Cancer;Cancers;2023-06-21
2. Diagnostic accuracy, reliability, and reviewer agreement of a new proposed risk prediction model for metastatic cervical lymph node from head and neck squamous cell carcinoma using MDCT;Egyptian Journal of Radiology and Nuclear Medicine;2022-11-16
3. Auto-detection and segmentation of involved lymph nodes in HPV-associated oropharyngeal cancer using a convolutional deep learning neural network;Clinical and Translational Radiation Oncology;2022-09
4. Auto-Detection and Segmentation of Involved Lymph Nodes in HPV-Associated Oropharyngeal Cancer Using a Convolutional Deep Learning Neural Network;2022-01-21
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