影像科学与光化学 ›› 2021, Vol. 39 ›› Issue (2): 298-304.DOI: 10.7517/issn.1674-0475.200815

• 综述与论文 • 上一篇    下一篇

基于CT评估脑出血征象和血肿体积、高低密度差预测血肿增大及软化灶的价值研究

王娟, 郭龙军, 李昌, 冯国洋, 鹿梦岩   

  1. 首都医科大学附属北京康复医院 放射科, 北京 100144
  • 收稿日期:2020-08-28 出版日期:2021-03-15 发布日期:2021-03-12
  • 通讯作者: 王娟

The Evaluation of CT Features including Hemorrhage Signs, Hematoma Volume, High-low Density Difference in Predicting Hematoma Enlargement and Softening Cerebral

WANG Juan, GUO Longjun, LI Chang, FENG Guoyang, LU Mengyan   

  1. Department of Radiology, Beijing Rehabilitation Hospital, Capital Medical University, Beijing 100144, P. R. China
  • Received:2020-08-28 Online:2021-03-15 Published:2021-03-12

摘要: 选取30例脑出血血肿增大患者为血肿增大组,另选30例脑出血无血肿增大患者为无血肿增大组,均行脑CT检查。采用Logistic回归方程分析血肿增大的相关影响因素,用受试者工作特征曲线(ROC)分析脑出血征象、血肿体积、高低密度差预测血肿增大及软化灶的效能。结果显示,初诊血肿体积、高低密度差与血肿增大显著相关(P<0.05);混杂征、分叶征、黑洞征、血肿形态不规则、初诊血肿体积、高低密度差联合预测血肿增大、出现软化灶的AUC值均高于任一单一参数预测。本研究结果可证实,混杂征、分叶征、黑洞征、血肿形态不规则、初诊血肿体积、高低密度差等CT征象和定量参数与血肿增大及软化灶形成关系密切,联合检测具有较高预测价值,便于指导临床完善治疗方案。

关键词: CT, 脑出血, 血肿体积, 软化灶, 密度差, 脑出血征象

Abstract: A total of 30 cases of cerebral hemorrhage patients with enlarged hematoma were selected as hematoma enlargement group, and 30 patients of cerebral hemorrhage without hematoma enlargement were selected as non-hematoma enlargement group. All patients were examined by CT. Logistic regression equation was used to analyze the related influencing factors of hematoma enlargement. The receiver operating characteristic curve (ROC) was used to analyze the efficacy of cerebral hemorrhage signs in predicting hematoma enlargement and softening, as well as hematoma volume and high-low density difference. The results showed that the volume of newly diagnosed hematoma and the difference between high and low density were significantly related to the increase of hematoma (P<0.05). The confounding sign was combined with lobular sign, black hole sign, irregular hematoma, the volume of the newly diagnosed hematoma and the high-low density difference to predict the hematoma enlargement and softening. The AUC values were higher than those predicted by any single parameter. The results of this study can confirm that CT features are closely related to hematoma enlargement and softening, which including the confounding sign, lobular sign, black hole sign, irregular hematoma, newly diagnosed hematoma volume and high-low density difference. The combined detection has high predictive value, which is convenient to guide the clinical treatment plan.

Key words: CT, cerebral hemorrhage, hematoma volume, softening foci, density difference, signs of cerebral hemorrhage