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目的分析进展型脑出血的影像学和临床预测指标。方法 98例患者均由发病后4 h内计算机断层扫描(CT)诊断为自发性脑内出血(ICH),24 h 后复查 CT 了解血肿进展的发生。先将可能的危险因素与早期血肿进展之间进行显著性检验,再用多元逐步回归加以明确,得到回归方程。结果进展型脑出血发生率为26.5%。有效预测指标分别是:CT 上血肿密度不均、就诊时患者意识障碍程度、首诊 CT 距发病时间和既往脑梗死病史。同时,CT 上特征性的“血肿生长线”对进展型脑出血具有重要预测价值。结论进展型脑出血存在明确的预测指标。血肿密度不均对进展性脑出血的预测具有重要意义,发现和命名了“血肿生长线”这一进展型脑出血的影像学特征。
Objective To analyze the imaging and clinical predictors of progressive cerebral hemorrhage. Methods Ninety-eight patients were diagnosed as spontaneous intracerebral hemorrhage (ICH) by computed tomography (CT) within 4 hours after onset, and CT was reviewed 24 hours later to understand the progress of hematoma. First, the possible risk factors and early hematoma progress between the significant test, and then use multiple stepwise regression to be clear, the regression equation. Results The incidence of progressive cerebral hemorrhage was 26.5%. The effective predictors were: the uneven density of hematoma on CT, the degree of patient’s disturbance of consciousness at the time of diagnosis, the onset time of first diagnosis CT and the history of previous cerebral infarction. At the same time, the characteristic “hematoma growth curve” on CT has important predictive value for progressive cerebral hemorrhage. Conclusion Progressive intracerebral hemorrhage exists a clear predictor. Uneven density of hematoma is of great significance for the prediction of progressive cerebral hemorrhage, found and named “hematoma growth line ” imaging features of this progressive cerebral hemorrhage.