Radiomics of the Paranasal Sinuses: A Systematic Review of Computer-Assisted Techniques to Assess Computed Tomography Radiological Data.

ABSTRACT:

Background

Radiomics is a quantitative approach to medical imaging, aimed to extract features into large datasets. By using artificial intelligence (AI) methodologies, large radiomic data can be analysed and translated into meaningful clinical applications. In rhinology, there is heavy reliance on computed tomography (CT) imaging of the paranasal sinus for diagnostics and assessment of treatment outcomes. Currently, there is an emergence of literature detailing radiomics use in rhinology.

Objective

This systematic review aims to assess the current techniques used to analyze radiomic data from paranasal sinus CT imaging.

Methods

A systematic search was performed using Ovid MEDLINE and EMBASE databases from January 1, 2019 until March 16, 2024 using the Preferred Report

SUBMITTER: Darbari Kaul R 

PROVIDER: S-EPMC11796290 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature