{
  "abstract": "Purpose\n\nTo address the utility of an AI-based cardiovascular border analysis of chest radiographs (CXRs) in patients with pulmonary thromboembolism (PTE).Materials and methods\n\nThis 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\n\nIn 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 (p < 0.05). Among 165 patients with follow-up CXRs, post-treatment reductions in values for the PT, SVC/AO, RA, LAA, LV, and CTRs were observed (p < 0.05). ROC analysis showed modest discriminative performance, with the PT Z-score demonstrating the highest area under the curve (AUC, 0.658), improving further in the central PTE subgroup (AUC, 0.700).Conclusion\n\nAI-based cardiovascular-border analysis of CXRs demonstrated modest diagnostic performance but may support treatment monitoring in patient with PTE.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 4,
  "authors": [
    {
      "name": "Ji Yun Ok",
      "orcid": "0009-0002-2271-7531"
    },
    {
      "name": "Jong Eun Lee",
      "orcid": "0000-0002-8754-6801"
    },
    {
      "name": "Ki Seok Choo",
      "orcid": "0000-0001-5072-4259"
    },
    {
      "name": "Dong Hyun Yang",
      "orcid": "0000-0001-5477-558X"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/5vjzdcyb22m8x.bib",
  "cited_by": 0,
  "doi": "10.3348/jksr.2025.0131",
  "fulltext_url": "https://europepmc.org/articles/PMC13680123",
  "id": "5vjzdcyb22m8x",
  "issns": [
    "2951-0805"
  ],
  "landing_url": "https://europepmc.org/article/MED/42903069",
  "language": "eng",
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2724|Venous Thromboembolism Diagnosis and Management"
    ]
  ],
  "openalex": "W7204443473",
  "pdf_url": "https://europepmc.org/articles/PMC13680123?pdf=render",
  "pmcid": "PMC13680123",
  "pmid": "42903069",
  "published": "2026-08-19",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/5vjzdcyb22m8x.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:19:57Z",
      "native_id": "MED:42903069",
      "source": "europepmc",
      "url": "https://europepmc.org/article/MED/42903069"
    }
  ],
  "subjects": [
    {
      "field": "medicine",
      "origin": "openalex:2724|Venous Thromboembolism Diagnosis and Management",
      "subfield": "general"
    }
  ],
  "title": "Assessment of Pulmonary Thromboembolism on Chest Radiographs Using Quantitative AI-Based Cardiovascular-Border Analysis.",
  "title_text": "Assessment of Pulmonary Thromboembolism on Chest Radiographs Using Quantitative AI-Based Cardiovascular-Border Analysis.",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:19:57Z",
  "url": "https://research.draconitic.com/paper/5vjzdcyb22m8x",
  "venue": "Journal of the Korean Society of Radiology",
  "versions": []
}