Clustering analysis of HRCT parameters measured using a texture-based automated system: relationship with clinical outcomes of IPF.

ABSTRACT:

Purpose

The extent of honeycombing and reticulation predict the clinical prognosis of IPF. Emphysema, consolidation, and ground glass opacity are visible in HRCT scans. To date, there have been few comprehensive studies that have used these parameters. We conducted automated quantitative analysis to identify predictive parameters for clinical outcomes and then grouped the subjects accordingly.

Methods

CT images were obtained while patients held their breath at full inspiration. Parameters were analyzed using an automated lung texture quantification system. Cluster analysis was conducted on 159 IPF patients and clinical profiles were compared between clusters in terms of survival.

Results

Kaplan-Meier analysis revealed that survival rates declined as fibrosis, reticula

SUBMITTER: Lee JU 

PROVIDER: S-EPMC11290077 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature