Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/34809
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 18240/20438 (89%)
造访人次 : 5483604      在线人数 : 981
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/34809


    標題: Validation of an Automated Cardiothoracic Ratio Calculation for Hemodialysis Patients
    作者: Chou, Hsin-Hsu
    Lin, Jin-Yi
    Shen, Guan-Ting
    Huang, Chih-Yuan
    貢獻者: Yi Christian Hosp, Ditmanson Med Fdn Chia, Dept Pediat
    Asia Univ, Dept Bioinformat & Med Engn
    Yi Christian Hosp, Ditmanson Med Fdn Chia, Innovat & Incubat Ctr
    Yi Christian Hosp, Ditmanson Med Fdn Chia, Dept Internal Med, Div Nephrol
    Chia Nan Univ Pharm & Sci, Coll Recreat & Hlth Management, Dept Sport Management
    關鍵字: cardiothoracic ratio (CTR)
    U-Net
    deep learning
    hemodialysis
    chest X-ray
    日期: 2023
    上傳時間: 2024-12-25 11:03:53 (UTC+8)
    出版者: MDPI
    摘要: Cardiomegaly is associated with poor clinical outcomes and is assessed by routine monitoring of the cardiothoracic ratio (CTR) from chest X-rays (CXRs). Judgment of the margins of the heart and lungs is subjective and may vary between different operators. Methods: Patients aged > 19 years in our hemodialysis unit from March 2021 to October 2021 were enrolled. The borders of the lungs and heart on CXRs were labeled by two nephrologists as the ground truth (nephrologist-defined mask). We implemented AlbuNet-34, a U-Net variant, to predict the heart and lung margins from CXR images and to automatically calculate the CTRs. Results: The coefficient of determination (R-2) obtained using the neural network model was 0.96, compared with an R-2 of 0.90 obtained by nurse practitioners. The mean difference between the CTRs calculated by the nurse practitioners and senior nephrologists was 1.52 +/- 1.46%, and that between the neural network model and the nephrologists was 0.83 +/- 0.87% (p < 0.001). The mean CTR calculation duration was 85 s using the manual method and less than 2 s using the automated method (p < 0.001). Conclusions: Our study confirmed the validity of automated CTR calculations. By achieving high accuracy and saving time, our model can be implemented in clinical practice.
    關聯: Diagnostics, v.13, n.8, Article 1376
    显示于类别:[行政單位] 456

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML2检视/开启


    在CNU IR中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈