The past three decades have borne witness to many advances in the understanding of the
molecular biology and treatment of nasopharyngeal carcinoma (NPC), an Epstein–Barr virus …

Background Numerous individual studies have investigated the diagnostic value of EBV-
DNA, EA-IgA, VCA-IgA, EBNA1-IgA and Rta-IgG detection for nasopharyngeal carcinoma …

Nasopharyngeal carcinoma (NPC) is a disease with unique epidemiological features. The
distribution of the disease demonstrates a clear regional, racial and gender prevalence. In …

A meeting of experts was held in November 2021 to review and discuss available data on
performance of Epstein-Barr virus (EBV)–based approaches to screen for early stage …

Objectives We aimed to develop a dual-task model to detect and segment nasopharyngeal
carcinoma (NPC) automatically in magnetic resource images (MRI) based on deep learning …

Epstein–Barr virus (EBV) is one of eight known herpesviruses with the potential to infect
humans. Globally, it is estimated that between 90–95% of the population has been infected …

Objectives A convolutional neural network (CNN) was adapted to automatically detect early-
stage nasopharyngeal carcinoma (NPC) and discriminate it from benign hyperplasia on a …

Accurate prognosis prediction for nasopharyngeal carcinoma based on magnetic resonance
(MR) images assists in the guidance of treatment intensity, thus reducing the risk of …

It is well-established that human papillomavirus (HPV) is etiologically responsible for a
distinct subset of oropharyngeal squamous cell carcinomas (OPSCCs) and is an …

Background and objectives Administration of contrast is not desirable for all cases in clinical
setting, and no consensus in sequence selection for deep learning model development has …