Objective To explore the value of ultrasonographic on fetal limb deformities in prenatal diagnosis by using systemat-ic continuous sequence approach(SCSA) Methods During the period of January 2008 to April 2012 ,SCSA with color doppler ultra-sonography was used to screen 41 460 pregnant women in order to observe the four limbs of the fetus .And compared with the limbs of the fetus after birth or induction of labor .Results There were 99 cases of fetal limb deformities in 41 ,460 pregnancy ,of which 31 cases of femoral abnormalities were found by routine ultrasound ,92 cases of fetal limb deformities were found by SCSA .68 cases of fetal limb deformities were detected by SCSA in 19- <27 weeks of gestation ,accounting for 73 .91% of detection limb deformi-ties .In the 99 cases of fetal limb deformities ,varus feet were the most was (27 cases) ,followed by short limbs deformity (24 cases) , limbs compound malformations(11 cases) ,limb posture abnormalities(10 cases) ,part of the amputation(10 cases) and multiple fin-gers/toes(7 cases) .Conclusion SCSA with color doppler ultrasonography is an effective method for prenata screening of fetal limb deformities .

Objective:To analyze the change rules of quantitative parameters of magnetic resonance-perfusion weighted imaging (MR-PWI) in cynomolgus monkeys with different degrees of liver fibrosis, and to explore the best parameter of MR-PWI in evaluating the severity of liver fibrosis.Methods:Liver fibrosis models of twenty-two cynomolgus monkeys were successfully established by subcutaneous injection of carbon tetrachloride and feeding with high-fat food. Among them, 15 cynomolgus monkeys developed into early liver cirrhosis (stage S4 of liver fibrosis). Compatibility group design was adopted, the comparative study on MR-PWI of exchange double blood supply model of liver was carried out in these 15 cynomolgus monkeys with a complete development process of liver fibrosis. The quantitative parameters of MR-PWI included endothelial transfer constant ( ktrans), reflux rate constant ( kep), extravascular extracellular space fractional volume ( ve), fractional plasma volume ( vp) and hepatic artery perfusion index (HPI). The change rules of the above parameters and their correlation with the severity of hepatic fibrosis were analyzed. The best parameter of MR-PWI was explored. Compatibility group design (randomized block design), analysis of variance, SNK- q test, Spearman rank correlation analysis and receiver operating characteristic (ROC) curve analysis were used for statistical analysis. Results:ktrans and kep of MR-PWI of cynomolgus monkeys decreased along with the progress of hepatic fibrosis, and the differences were statistically significant ( F=685.228, 99.718, both P<0.01). There were statistically significant differences between each stage of hepatic fibrosis (S1 to S4) and normal liver tissue (S0) ((0.527±0.038), (0.479±0.035), (0.432±0.032) and (0.387±0.031) mL/min vs.(0.584±0.044) mL/min, all P<0.01; (2.193±0.307), (1.997±0.301), (1.624±0.174) and (1.532±0.130) mL/min vs. (2.565±0.482) mL/min, all P<0.01). There were statistically significant in ktrans and kep between stage S3, S4 severe liver fibrosis and stage S1 mild liver fibrosis, stage S2 moderate liver fibrosis (all P<0.01), however there were no statistically significant differences between stage S3 and stage S4 liver fibrosis, between stage S1 and stage S2 liver fibrosis (all P>0.05). Along with the development of the severity of liver fibrosis, HPIs increased gradually, and the differences were statistically significant ( F=839.883, P<0.01). The HPIs of stage S0 to S4 were 0.244±0.022, 0.317±0.035, 0.421±0.046, 0.546±0.043 and 0.651±0.058, respectively, and there were statistically significant differences between groups (all P<0.01). Along with the progression of the severity of liver fibrosis, vp decreased while ve increased gradually, but there were no statistically significant differences among groups (all P>0.05). The results of Spearman rank correlation analysis indicated that ktrans and kep were negatively correlated with the severity of liver fibrosis ( rs=-0.875 and -0.797, both P<0.01), however HPI was positively correlated with the severity of liver fibrosis ( rs=0.959, P<0.01). The results of ROC curve analysis showed that area under curves (AUCs) of ktrans, kep and HPI in the diagnosis of early cirrhosis were 0.852 (95% CI 0.767 to 0.937), 0.799 (95% CI 0.700 to 0.897) and 0.967 (95% CI 0.932 to 1.002), respectively. The best cut-off values were 0.395 mL/min, 1.561 mL/min and 0.590, respectively. The sensitivity was 86.7%, 79.6% and 97.4%, respectively and the specificity was 77.4%, 71.9% and 93.1%, respectively. The thresholds of HPI in the diagnosis of liver fibrosis at stage S1, stage S2, stage S3 and stage S4 were 0.291, 0.376, 0.503 and 0.590, respectively; the sensitivity was 95.7%, 93.8% and 94.4% and 97.4%, respectively and the specificity was 89.5%, 84.7%, 91.3% and 92.7%, respectively. Conclusions:The parameters of MR-PWI change regularly with the development of liver fibrosis in the cynomolgus monkey model, among which HPI is the best parameter for quantitative evaluation of the severity of liver fibrosis.