| 郭欢仪,杨丽新,郑剑,曾婕,吴涛,黄泽萍,郑荣琴.慢性肝病患者剪切波弹性模量值的多因素回归分析[J].中国医学影像技术,2015,31(1):82~85 |
| 慢性肝病患者剪切波弹性模量值的多因素回归分析 |
| Influenced factors on shear wave elastrography in patients with chronic hepatic disease: A multivariate regression analysis |
| 投稿时间：2014-07-23 修订日期：2014-10-31 |
| DOI：10.13929/j.1003-3289.2015.01.023 |
| 中文关键词: 超声检查 弹性成像技术 肝脏 |
| 英文关键词:Ultrasonography Elasticity imaging techniques Liver |
| 基金项目: |
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| 中文摘要: |
| 目的 分析慢性肝病患者肝实时二维剪切波弹性成像(SWE)模量值的相关因素及其独立预测因子。方法 收集慢性肝病患者142例,对所有病例均行SWE、肝穿刺活检及病理检查,获得肝炎症活动度G分级,肝纤维化S分期。同时记录临床及实验室相关指标,变量包括性别、年龄、体质量指数(BMI)、谷草转氨酶(AST)、谷丙转氨酶(ALT)、总胆红素(TB)、白蛋白(ALB)、谷氨酰转肽酶(GGT)、碱性磷酸酶(ALP)、血小板计数(PLT),凝血酶原时间(PT)、凝血酶原活动度(PT%)。分别与SWE肝弹性模量值作Spearman两两相关分析,筛选出具有统计学意义的变量进行多重线性回归分析,得出回归方程进行方差分析,评估方程的独立预测因子。结果 肝炎症活动度G分级(G)、肝纤维化S分期、年龄(age)、AST、ALT、TB、ALB、GGT、ALP、PLT、PT、PT%,与SWE弹性模量值具有相关性(P均<0.01)。拟合的回归模型:SWE=32.71+2.52G+0.18age－0.43ALB+0.01GGT－0.15PT%,方程调整R2=0.49(P<0.01)。结论 肝炎症活动度G分级和肝纤维化S分期与SWE模量值具有较高的相关性;肝炎症活动度G分级是其最主要的独立预测因子。 |
| 英文摘要: |
| Objective To explore the influenced factors on the elastic modulus of shear wave elastrography (SWE) and independently predicted factors in patients with chronic hepatic disease. Methods Totally 142 patients with chronic hepatic diseases underwent SWE, liver biopsy and histological study, and then the necroinflammatory activity G grade and fibrosis S stage were obtained. Meanwhile, other variables were characterized the relationship with SWE elastic modulus using the Spearman correlation coefficients, i.e. gender, age, body mass index (BMI), glutamic-oxal acetic transaminase (AST), glutamate pyruvate transaminase (ALT), total bilirubin (TB), albumin (ALB), glutamyl transpeptidase (GGT), alkaline phosphatase (ALP), blood platelet count (PLT), prothrombin time (PT), prothrombin activity (PT%). Variables that showed a significant effect were included into multivariate regression analysis, in order to evaluate the independently predicted factors. Results These variables, including necroinflammatory activity G grade fibrosis S stage, age, AST, ALT, TB, ALB, GGT, ALP, PLT, PT, PT%, showed significant correlation coefficients (all P<0.01). The prediction model can be expressed as follows: SWE=32.71+2.52G+0.18age－0.43ALB+0.01GGT－0.15PT% (adjusted R2=0.49, P<0.01). Conclusion The relationship between SWE elastic modulus and necroinflammatory activity G grade, fibrosis S stage shows higher correlation coefficients. The necroinflammatory activity G grade is a most important independently predicted factor of SWE elastic modulus. |
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