Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/34572
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18268/20495 (89%)
Visitors : 8615363      Online Users : 695
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    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/310902800/34572


    题名: Prediction of Intraparenchymal Hemorrhage Progression and Neurologic Outcome in Traumatic Brain Injury Patients Using Radiomics Score and Clinical Parameters
    作者: Shih, Yun-Ju
    Liu, Yan-Lin
    Chen, Jeon-Hor
    Ho, Chung-Han
    Yang, Cheng-Chun
    Chen, Tai-Yuan
    Wu, Te-Chang
    Ko, Ching-Chung
    Zhou, Jonathan T.
    Zhang, Yang
    Su, Min-Ying
    贡献者: Chi Mei Hospital
    University of California System
    University of California Irvine
    E-Da Hospital
    I Shou University
    Southern Taiwan University of Science & Technology
    Chang Jung Christian University
    Department of Health and Nutrition, Chia Nan University of Pharmacy & Science
    Rutgers System
    Rutgers New Brunswick
    Rutgers Biomedical & Health Sciences
    Rutgers Cancer Institute of New Jersey
    Kaohsiung Medical University
    关键词: early hematoma expansion
    intracerebral hemorrhage
    risk-factors
    cerebral contusions
    impact
    日期: 2022
    上传时间: 2023-12-11 13:58:31 (UTC+8)
    出版者: MDPI
    摘要: (1) Background: Radiomics analysis of spontaneous intracerebral hemorrhages on computed tomography (CT) images has been proven effective in predicting hematoma expansion and poor neurologic outcome. In contrast, there is limited evidence on its predictive abilities for traumatic intraparenchymal hemorrhage (IPH). (2) Methods: A retrospective analysis of 107 traumatic IPH patients was conducted. Among them, 45 patients (42.1%) showed hemorrhagic progression of contusion (HPC) and 51 patients (47.7%) had poor neurological outcome. The IPH on the initial CT was manually segmented for radiomics analysis. After feature extraction, selection and repeatability evaluation, several machine learning algorithms were used to derive radiomics scores (R-scores) for the prediction of HPC and poor neurologic outcome. (3) Results: The AUCs for R-scores alone to predict HPC and poor neurologic outcome were 0.76 and 0.81, respectively. Clinical parameters were used to build comparison models. For HPC prediction, variables including age, multiple IPH, subdural hemorrhage, Injury Severity Score (ISS), international normalized ratio (INR) and IPH volume taken together yielded an AUC of 0.74, which was significantly (p = 0.022) increased to 0.83 after incorporation of the R-score in a combined model. For poor neurologic outcome prediction, clinical variables of age, Glasgow Coma Scale, ISS, INR and IPH volume showed high predictability with an AUC of 0.92, and further incorporation of the R-score did not improve the AUC. (4) Conclusion: The results suggest that radiomics analysis of IPH lesions on initial CT images has the potential to predict HPC and poor neurologic outcome in traumatic IPH patients. The clinical and R-score combined model further improves the performance of HPC prediction.
    關聯: DIAGNOSTICS, v.12, n.7, 1677
    显示于类别:[Dept. of Health and Nutrition (including master's program)] Periodical Articles

    文件中的档案:

    档案 描述 大小格式浏览次数
    diagnostics12071677.pdf3113KbAdobe PDF102检视/开启
    index.html0KbHTML387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 ©   - Feedback