Habitat Radiomics Predict HPV Status in Oropharyngeal Cancer.

ABSTRACT:

Objective

This study developed a habitat-based radiomics classifier from CT images to predict HPV status in oropharyngeal cancer (OPC).

Methods

We analyzed pretreatment CT scans from 192 OPC patients. Tumor habitats were generated using a two-level unsupervised clustering approach, and radiomics features were calculated from both intratumoral and habitat-defined subregions. HPV ground truth was based on p16 IHC, and the ROSE algorithm was used to address class imbalance (85% HPV-positive). LASSO regression was used for feature selection. We developed and compared three separate models for statistical performance to predict HPV status: habitat radiomics classifier, intratumoral radiomics classifier, and combined radiomics classifier (habitats and intratumoral). Classifier per

SUBMITTER: Altinok O 

PROVIDER: S-EPMC12718549 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature