Deep Learning for Detection of Exercise-Induced Pulmonary Hypertension Using Chest X-Ray Images.

ABSTRACT:

Background

Stress echocardiography is an emerging tool used to detect exercise-induced pulmonary hypertension (EIPH). However, facilities that can perform stress echocardiography are limited by issues such as cost and equipment.

Objective

We evaluated the usefulness of a deep learning (DL) approach based on a chest X-ray (CXR) to predict EIPH in 6-min walk stress echocardiography.

Methods

The study enrolled 142 patients with scleroderma or mixed connective tissue disease with scleroderma features who performed a 6-min walk stress echocardiographic test. EIPH was defined by abnormal cardiac output (CO) responses that involved an increase in mean pulmonary artery pressure (mPAP). We used the previously developed AI model to predict PH and calculated PH probability in th

SUBMITTER: Kusunose K 

PROVIDER: S-EPMC9240342 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature