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Dataset Information

Clinical variables and magnetic resonance imaging-based radiomics predict human papillomavirus status of oropharyngeal cancer.


ABSTRACT:

Background

Human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC) have better prognosis and treatment response compared to HPV-negative OPSCC. This study aims to noninvasively predict HPV status of OPSCC using clinical and/or radiological variables.

Methods

Seventy-seven magnetic resonance radiomic features were extracted from T1-weighted postcontrast images of the primary tumor of 153 patients. Logistic regression models were created to predict HPV status, determined with immunohistochemistry, based on clinical variables, radiomic features, and its combination. Model performance was evaluated using area under the curve (AUC).

Results

Model performance showed AUCs of 0.794, 0.764, and 0.871 for the clinical, radiomic, and combined models, re

SUBMITTER: Bos P 

PROVIDER: S-EPMC7821378 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature