Purpose Endoscopic biopsy is recommended for diagnosis of nasopharyngeal carcinoma
(NPC). A proportion of lesions are hidden from endoscopic view but detected with magnetic …

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 …

Routine non–contrast material–enhanced head CT is one of the most frequently ordered
studies in the emergency department. Skull base–related pathologic entities, often depicted …

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

Background Early-stage nasopharyngeal carcinoma (NPC) evades detection when the
primary tumor is hidden from view on endoscopic examination. Therefore, in a prospective …

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

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 …

Objectives MRI can detect early-stage nasopharyngeal carcinoma (NPC), but the detection
is more challenging in early-stage NPCs because they must be distinguished from benign …

Background Magnetic resonance imaging (MRI) is commonly used for the diagnosis of
nasopharyngeal carcinoma (NPC) and occipital clivus (OC) invasion, but a proportion of …

BACKGROUND AND PURPOSE: We evaluated modifications to our contrast-enhanced MR
imaging grading system for symptomatic patients with suspected nasopharyngeal …