Enhancing accuracy of detecting left atrial dilatation on CT pulmonary angiography.

ABSTRACT:

Introduction

Left atrial (LA) dilatation predicts several cardiovascular disorders. Identifying LA dilatation on computed tomography pulmonary angiography (CTPA) could aid diagnosis of cardiovascular disease. This study assessed an artificial intelligence (AI) segmentation model's performance at detecting LA dilatation on CTPA.

Methods

Patients with suspected pulmonary hypertension (PH) who underwent CTPA and cardiac MRI (CMR) were retrospectively identified from a single centre registry. The LA was segmented by an AI tool for CTPA and a validated AI tool for CMR. LA volume measurements were categorised for LA dilatation based on existing threshold values. The expert radiologist's reports of the CTPA studies were also categorised for LA dilatation. Automated CTPA LA volumes

SUBMITTER: Tapper L 

PROVIDER: S-EPMC12552999 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature