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CT影像组学模型预测原发性脑出血血肿扩大及不良结局的临床研究

廖志林 袁广纷 熊鹏举 邹丽丽 刘然

临床神经外科杂志2026,Vol.23Issue(4):380-384,391,6.
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临床神经外科杂志2026,Vol.23Issue(4):380-384,391,6.DOI:10.3969/j.issn.1672-7770.2026.04.004

CT影像组学模型预测原发性脑出血血肿扩大及不良结局的临床研究

Clinical study on CT radiomics model for predicting hematoma expansion and adverse outcomes in primary intracerebral hemorrhage

廖志林 1袁广纷 1熊鹏举 1邹丽丽 1刘然2

作者信息

  • 1. 330012 南昌,江西中医药大学第二附属医院急诊科
  • 2. 雄安宣武医院急诊科
  • 折叠

摘要

Abstract

Objective To verify the predictive value of radiomics features extracted from non-contrast CT for patients with spontaneous intracerebral hemorrhage of hematoma expansion and poor functional outcomes,and to compare it with imaging signs and clinical factors.Methods A total of 754 radiomics features extracted from 1 732 sets of scan data of patients admitted to the Second Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine from January 2020 to January 2025 were analyzed retrospectively.The features were processed,and a correlation-based feature selection method was adopted to evaluate the predictive performance of the selected radiomics features.The area under curve(AUC)was used to assess the predictive efficacy of the model.Results The optimal radiomics model achieved an AUC of 0.693 for predicting hematoma expansion and 0.783 for predicting poor functional outcomes.The model using only imaging signs showed a significant decrease in sensitivity,and the combined model of radiomics features and imaging signs did not show advantages over the radiomics model alone.The model using only clinical factors had similar predictive performance to the radiomics model but with lower sensitivity for predicting hematoma expansion.Incorporating clinical factors into radiomics features improved model performance.Conclusions Radiomics features are superior to imaging signs and comparable to clinical factors in predicting hematoma expansion and poor functional outcomes in patients with intracerebral hemorrhage.In addition,the combination of radiomics features and clinical factors can further improve predictive efficacy.

关键词

影像组学/脑出血/线性模型/预测医学

Key words

radiomics/intracerebral hemorrhage/linear model/predictive medicine

分类

医药卫生

引用本文复制引用

廖志林,袁广纷,熊鹏举,邹丽丽,刘然..CT影像组学模型预测原发性脑出血血肿扩大及不良结局的临床研究[J].临床神经外科杂志,2026,23(4):380-384,391,6.

基金项目

河北省2025年度医学科学研究课题项目(20250282) (20250282)

临床神经外科杂志

1672-7770

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