ArticleJournal of the Korean Society of Radiology2026
Assessment of Pulmonary Thromboembolism on Chest Radiographs Using Quantitative AI-Based Cardiovascular-Border Analysis.
Article in Journal of the Korean Society of Radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: To address the utility of an AI-based cardiovascular border analysis of chest radiographs (CXRs) in patients with pulmonary thromboembolism (PTE). Materials and Methods: This retrospective single-center study included patients with PTE diagnosed using cardiothoracic ratio (CTR) pulmonary angiography between January 2023 and June 2024, along with age-matched and sex-matched controls. The AI model quantified distances from the midline to the cardiovascular borders, including the superior vena cava/ascending aorta (SVC/AO), right atrium (RA), aortic arch, pulmonary trunk (PT), left atrial appendage (LAA), and left ventricle (LV), as well as the CTR. Measurements were standardized as age-adjusted and sex-adjusted Z-scores. Diagnostic performance was assessed using receiver operating characteristic (ROC) analysis. Results: In total, 390 participants (195 with PTE and 195 controls; median age, 68 years) were included in the study. Patients with PTE showed greater values for the PT, SVC/AO, LAA, LV, and CTRs than the controls ( Conclusion: AI-based cardiovascular-border analysis of CXRs demonstrated modest diagnostic performance but may support treatment monitoring in patient with PTE.
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