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    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/34572

    標題: 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
    貢獻者: Chi Mei Hospital
    University of California System
    University of California Irvine
    E-Da Hospital
    I Shou University
    Chi Mei Hospital
    Southern Taiwan University of Science & Technology
    Chang Jung Christian University
    Chang Jung Christian University
    Chia Nan University of Pharmacy & Science
    Rutgers System
    Rutgers New Brunswick
    Rutgers Biomedical & Health Sciences
    Rutgers Cancer Institute of New Jersey
    Kaohsiung Medical University
    關鍵字: early hematoma expansion
    intracerebral hemorrhage
    cerebral contusions
    日期: 2022
    上傳時間: 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.CB2, pp.CC2, pp.-,
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