Establishment of a New Pulmonary Embolism Diagnostic Algorithm Utilizing Chest X-ray Fluoroscopic Video Analysis Software

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K16054
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 53020:Cardiology-related
• Research Institution: Mie University
• Principal Investigator: Ogihara Yoshito 三重大学, 医学部附属病院, 助教 (70626572)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 肺血栓塞栓症 / 肺循環疾患 / 透視動画解析 / 診断 / スクリーニング

Outline of Final Research Achievements

In this study, the efficacy of a new pulmonary embolism (PE) diagnostic algorithm using chest X-ray fluoroscopic video analysis software was evaluated. The study was conducted on 50 patients, divided into two groups: those with confirmed PE and those without (non-PE).
The results demonstrated a sensitivity of 91%, specificity of 52%, positive predictive value of 62%, negative predictive value of 88%, and an overall accuracy of 70%. The diagnostic performance was particularly high for severe cases, highlighting its potential as a rapid and minimally invasive screening tool. This innovative method allows for effective preliminary screening of PE without the need for contrast agents or extensive imaging facilities. However, it is not suitable for definitive diagnosis. Further research is needed to enhance its specificity and validate its use in broader clinical settings.

Free Research Field

肺循環疾患

Academic Significance and Societal Importance of the Research Achievements

本研究は、肺血栓塞栓症（PTE）の診断において、新しい低侵襲なスクリーニング方法として胸部X線透視動画解析ソフトの有効性を示した。特に重症患者に対して高い診断精度を持つことが確認され、迅速な診断が可能となる。この手法は患者の負担を軽減し、医療現場での迅速な対応を可能にすることで、健康管理の向上に寄与する。特異度の向上を目指したさらなる研究により、より多くの患者に安全で効果的な診断が提供されることが期待される。