Radiomics-based machine learning model to phenotype hip involvement in ankylosing spondylitis: a pilot study.

ABSTRACT:

Objectives

Hip involvement is an important reason of disability in patients with ankylosing spondylitis (AS). Unveiling the potential phenotype of hip involvement in AS remains an unmet need to understand its biological mechanisms and improve clinical decision-making. Radiomics, a promising quantitative image analysis method that had been successfully used to describe the phenotype of a wide variety of diseases, while it was less reported in AS. The objective of this study was to investigate the feasibility of radiomics-based approach to profile hip involvement in AS.

Methods

A total of 167 patients with AS was included. Radiomic features were extracted from pelvis MRI after image preprocessing and feature engineering. Then, we performed unsupervised machine learning method

SUBMITTER: Hu Z 

PROVIDER: S-EPMC11390496 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature