BACKGROUND AND PURPOSE: Human papillomavirus–associated oropharyngeal
squamous cell carcinoma is increasing in prevalence and typically occurs in younger …

Objective To determine whether machine learning can accurately classify human
papillomavirus (HPV) status of oropharyngeal squamous cell carcinoma (OPSCC) using …

Objective To identify the specific texture parameter that shows significant differences
between human papillomavirus (HPV)–positive (HPV+) and HPV-negative (HPV-) non …

BACKGROUND AND PURPOSE: The incidence of Oropharyngeal Squampus Cell
Carcinoma (OPSCC) cases is increasing especially in the Western countries due to the …

The aim of this study is to find a correlation between tumoral heterogeneity of squamous cell
carcinoma of the oropharynx and human papillomavirus (HPV) status and to determine …

BACKGROUND AND PURPOSE: The accurate prediction of prognosis and failure is crucial
for optimizing treatment strategies for patients with cancer. The purpose of this study was to …

BACKGROUND AND PURPOSE: Human papillomavirus–positive oropharyngeal cancers
typically have younger age of onset, limited tobacco exposure, and more favorable …

BACKGROUND AND PURPOSE: Because sinonasal inverted papilloma can harbor
squamous cell carcinoma, differentiating these tumors is relevant. The objectives of this …

Objective To compare the CT texture feature reproducibility of 2D and 3D segmentations
and their machine learning (ML)–based classifications for predicting human papilloma virus …

BACKGROUND AND PURPOSE: Head and neck cancer is common, and understanding the
prognosis is an important part of patient management. In addition to the Tumor, Node …