Stability analysis of CT radiomic features with respect to segmentation variation in oropharyngeal cancer.

ABSTRACT:

Introduction

Accurate segmentation of tumors and quantification of tumor features are important for cancer detection, diagnosis, monitoring, and planning therapeutic intervention. Due to inherent noise components in multi-parametric imaging and inter-observer and intra-observer variations, it is common that various segmentation methods may produce large segmentation errors in tumor volumes and their associated radiomic features. The purpose of this study is to carry out the stability analysis for radiomic features with respect to segmentation variation in oropharyngeal cancer (OPC).

Methods

In this study, 436 contrast-enhanced computed tomography (CT) axial images were collected from patients with OPC. In order to derive various segmentations of tumor volumes, two additional

SUBMITTER: Liu R 

PROVIDER: S-EPMC6920497 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature