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目的:通过有限元（finite element analysis,FEA）方法对自发性脑出血（spontaneous intracrebral hemorrhage,SICH）患者颅内血肿形态进行重建与分析，获取形态相关参数，考查形态相关参数与常规临床评估相比对血肿扩大（hematoma expansion,HE）的预测与诊断优势。方法:采用回顾性、病例对照方法，纳入百色市人民医院急诊科2015年6月至2017年12月期间符合研究标准的SICH患者。收集患者入院临床参数，对同一患者的常规头颅CT影像采用两种不同的分析方法。常规评估：临床调查员根据血肿断层影像判别血肿边缘是否规则，出血量计算采用简化多田公式（ABC/2）。FEA分析：FEA调查员进行血肿腔FEA分析，得到血肿空间形态和血肿体积、表面积、血肿腔每平方毫米表面积三角片数量（the quantity of triangles per square millimeter surface，TQOT/mmn 2)等参数。出血量或血肿体积较基线水平增加>33%认为发生血肿扩大，根据两种出血量评估方法（ABC/2，FEA）将患者分为各自的HE组与非HE组，单因素比较和Logistic多因素分析分别筛选FEA法、ABC/2法HE的危险因素，ROC曲线分析各自危险因素对HE的诊断能力。n 结果:共有127例患者纳入研究。平均发病至首次CT时间为3.08±1.34 h，ABC/2法判别HE34（26.77%）例，FEA法31（24.41%）例，虽然两种方法判别血肿扩大差异有统计学意义（pearson n χ2=53.66,n P=0.000），但仍有中度一致性（Kappa=0.65）。FEA实现所有患者血肿的三维重建，大体观察提示TQOT/mmn 2与形态相关。Logistic分析显示，ABC/2法仅有ICH评分为HE的危险因素（n OR=1.79，95%n CI：1.19～2.68）；FEA法HE危险因素为TQOT/mmn 2≥1.95个/mmn 2（n OR=16.99，95%n CI：5.98～48.33）和血肿生长速度（Ultraearly Hematoma Growth, uHG），（n OR=1.05，95%n CI：1.01～1.09)。ROC曲线结果：ICH评分对HE（ABC/2法）诊断的曲线下面积（Area under the curve，AUC）为0.64。uHG（FEA法）为0.67，诊断能力低。而TQOT/mmn 2诊断HE（FEA法）的AUC为0.9，取值1.95（个/mmn 2）时敏感性和特异性分别为77%和83%。与单参数诊断相比，FEA的参数组合模式（TQOT/mmn 2+uHG）没有显著增加TQOT/mmn 2对HE（FEA法）的诊断准确性（AUC=0.91），常规评估参数组合模式（ICH评分+入院SBP >180 mmHg）对HE（ABC/2法）的诊断准确性仍不理想（AUC33% compared with that on addmission. All patients were divided into HE and none HE group ,respectively, ABC/2 and FEA generated thire own HE and none HE group as different volume calcuation. The HE risk factors of ABC/2 and FEA were assessed in univariate and multivariable Logistic regression models. and the risk fators diagnosis value for HE were determined by the receiver operating characteristic(ROC) curves.n Results:Total of 127 patients were enrolled, The mean time of symptom onset to hospital admitted was 3.08±1.34 h. There were 34(26.77%) cases HE identifed by ABC/2 and 31(24.41%)by FEA. Althought there are significant different (pearson n χ2=53.66, n P180 mmHg on addmission) have a unacceptable AUC(<0.7) as well as single parameters.n Conclusions:Hematoma shape could be reconstructed and analysis by FEA and TQOT/mmn 2 was likely relevance to hematoma morphology. TQOT/mmn 2≥1.95 was indicate to have a better HE predicting and diagnosis value than any other risk factors and clinical parameters panel models in our reaserch.n