Objective: Accurate diagnosis of parotid neoplasia is a key to determine the most
appropriate patient management choice, including the need for surgery. This review …

Objective To design a deep learning model based on multimodal magnetic resonance
image (MRI) sequences for automatic parotid neoplasm classification, and to improve the …

A salivary incidentaloma (SI) stands for any focal salivary lesion, independent of size,
discovered by any imaging method including ultrasonography (US), computed tomography …

Objective This study aims to investigate the value of machine learning models based on
clinical-radiological features and multiphasic CT radiomics features in the differentiation of …

Background Salivary malignancies represent a heterogeneous spectrum of pathologies with
diverse features in presentation with evolving treatment paradigms. Such cancers occur …

Objectives To evaluate the diagnostic performance of Milan system for reporting salivary
gland cytopathology (MSRSGC) in two southern China tertiary cancer centers and …

This study aimed to determine the diagnostic yield of fine-needle aspiration cytology (FNAC)
in salivary gland lesions compared to histopathological diagnosis. The present study was …

Background Fine needle aspiration cytology has been established as a minimally invasive,
non-tumour seeding investigation of choice in the initial diagnostic pathway of parotid …