超声量化指标预测大鼠肝纤维化严重程度

Prediction of the Severity of Liver Fibrosis in Rats Using Quantitative Ultrasound Index

目的利用四氯化碳(CCl_4)复制大鼠肝纤维化模型,通过logistic回归探讨超声量化指标对肝纤维化严重程度的预测能力。方法 40%CCl_4复制大鼠肝纤维化模型,超声检测门静脉内径、血流速度及杨氏模量。大鼠肝组织HE染色,光镜下判定肝纤维化程度。结果门静脉内径、杨氏模量在肝纤维化严重程度判定中有统计学意义(P<0.05),其中杨氏模量对肝纤维化严重程度判定预测能力最大,R^2值为0.788。杨氏模量联合门静脉远段内径可以有效提高预测能力,R^2值均为0.821。结论杨氏模量是单因素预测肝纤维化严重程度能力最大的指标,多指标联合能有效提高对肝纤维化严重程度的预测能力。

Objective To assess the ability of quantitative ultrasound index to predict the severity of CCh-induced fiver fibrosis in a rat model us- ing logistic regression analysis. Methods In a rat model of 40 % CCl4-induced liver fibrosis, ultrasound detected the portal vein diameter, blood flow velocity, and Young＇ s modulus. The degree of hepatic fibrosis was determined using a light microscope after hematoxylin and eosin staining of tissue. Results Portal vein diameter and Young＇ s modulus were useful predictors of the severity of fiver fibrosis, with statistical significance （P 〈 0.05）. Young＇ s modulus was most effective with an R2 value 0.788. Young＇ s modulus combined with the distal diameter of portal vein effectively improved the predictive ability, showing an R2 value 0.821. Conclusion Young＇ s modulus is the most predictive index to assess the severity of liver fibrosis. A combination of multiple indices can improve the ability to predict the severity of liver fibrosis.