BackgroundFetal deformity is a disease caused by abnormal chromosome structure, which may be influenced by genetic factors as well as the maternal and external environment. Magnetic resonance imaging (MRI) may be used to effectively diagnose fetus deformities. However it has been reported that gene analysis is a more accurate diagnostic method. The aim of the present study was to investigate the effectiveness of MRI in combination with gene analysis for the diagnosis of fetal congenital heart disease, a form of fetus deformity.MethodsMRI, array comparative genome hybridization analysis and fluorescence in situ hybridization were used to analyze the effectiveness of the two methods in a total of 78 pregnant women with suspected fetal congenital heart disease.ResultsOur findings demonstrated that the combination of MRI and gene analysis resulted in significantly improved diagnostic accuracy, sensitivity and specificity for fetal congenital heart disease compared with either method alone. MRI combined with gene analysis confirmed 42 fetuses with pulmonary stenosis, 24 with aortic stenosis and 12 healthy fetuses, which was significantly improved compared with MRI or gene analysis alone. It was also observed that gene analysis was a more efficient method of diagnosis compared with MRI; however, the combination of the two methods was the most effective.ConclusionIn conclusion, the results of the present study suggest that MRI combined with gene analysis may be a more effective diagnostic method for fetal congenital heart disease compared with the current protocol.
Aims/Introduction To explore the differences of serum fibroblast growth factor‐21 (FGF‐21) levels in pregnant women with normal glucose tolerance and gestational diabetes mellitus (GDM), and to analyze the relationship between FGF‐21 and glucose and lipid metabolic indicators, leptin, retinol binding protein 4 (RBP‐4) and adiponectin in GDM, in order to provide basis for the prevention and treatment of GDM. Materials and Methods Total of 120 women were included, and divided into normal glucose tolerance group (58 cases) and GDM group (62 cases) according to the 75 g oral glucose tolerance test results. General information were recorded; height, weight and blood pressure, blood glucose, lipids, insulin, FGF‐21, leptin, RMP‐4, and adiponectin were measured, and body mass index (BMI), homeostasis model assessment‐IR, homeostasis model assessment‐β and area under glucose curve were calculated. The t‐test, Pearson analysis and multiple linear regression analysis were used to evaluate the differences and related factors of FGF‐21 in GDM. Results The pre‐pregnancy BMI, pregnancy BMI, weight gain during pregnancy and FGF‐21 levels were higher in GDM group, whereas there were no statistically significant differences in leptin, RBP‐4 and adiponectin. Correlation analysis suggested that FGF‐21 level was correlated with age, pre‐pregnancy BMI, weight gain during pregnancy, high‐density lipoprotein cholesterol, leptin, RBP‐4 and adiponectin, and the results of multiple linear regression showed that serum FGF‐21 was related to pre‐pregnancy BMI, weight gain during pregnancy, leptin, RBP‐4 and adiponectin in GDM. Conclusions There were higher serum FGF‐21 levels in GDM, which might be related to pre‐pregnancy BMI, weight gain during pregnancy, leptin, RBP‐4 and adiponectin.
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