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Objective To summarize the characteristics of fetal hand deformity in prenatal two-and three-dimensional u1trasonography. To analyze the causes of missed diagnosis of prenatal u1trasonography in detecting fetal hand deformity. Methods Systematic continuous sequence approach was performed with two-and three-dimensional u1trasonography in 11 854 cases to detect the fetal hand development, deformity and accompanied malformations. Prenatal sonographic features of fetal hand deformities (59 cases) were correlated with the morphology and X-ray characteristics of the delivered fetuses. Results Fifty-nine cases of fetal hand deformity were diagnosed out of 11 854 fetuses by prenatal u1trasonography:44 cases of abnormal wrist posture,1 case of full-ifnger absence, 2 cases of metacarpal and phalanx absence, 3 cases of clinodactyly, 2 cases of forearm and hand absence, 1 case of syndacty, 1 case of polydacty, 5 cases of lethal bone dysplasia. The detection rate was 0.50%(59/11 854). Eight cases were missed:3 cases of partial ifnger absence, 2 cases of clinodactyly, 1 case of syndacty, and 2 cases of polydacty. The rate of missed diagnosis is 11.90%(8/67). Abnormal wrist posture showed a hook-shaped hand in the wrist. Full-finger absence showed that one or multiple ifngers were absent. Metacarpal and phalanx absence showed no fetal hands. Clinodactyly showed that four ifngers were not in the same plane. Forearm and hand missing showed that ulna, metacarpal and phalangeal were absent. Syndacty showed a beak-like hand. Multi-ifnger indicated six ifngers in one hand. Lethal bone dysplasia showed very short limbs. Conclusions Prenatal u1trasonography played an important role in detecting and diagnosing severe type of fetal hand deformity. The detection rate of fetal hand deformities can be greatly improved by appropriate use of the scan-time, fetal position, systematic continuous sequence approach and real three-dimensional u1trasonography.
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To discuss the effects on early warning of measles, using the neural networks.Based on the available data through monthly and weekly reports on measles from January 1986 to August 2006 in Wuhan city. The modal was developed using the neural networks to predict and analyze the prevalence and incidence of measles. When the dynamic time series modal was established with back propagation(BP) networks consisting of two layers, if p was assigned as 9, the convergence speed was acceptable and the correlation coefficient was equal to 0.85. It was more acceptable for monthly forecasting the specific value, but better for weekly forecasting the classification under probabilistic neural networks (PNN). When data was big enough to serve the purpose, it seemed more feasible for early warning using the two-layer BP networks. However, when data was not enough, then PNN could be used for the purpose of prediction. This method seemed feasible to be used in the system for early warning.
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Objective To investigate the effects of metabolic syndrome(MS)on the structure and function of artery in patients with essential hypertension(EH).Methods One hundred forty-eight patients with EH were classified as EH with MS(EH+MS)or EH alone and healthy subjects(n=30)as control.Carotid intima-media thickness(IMT),brachial artery flow-mediated vasodilation(FMD)and non-flow-mediated vasodilation(NMD)were measured by Dopple ultrasonography.Results Carotid IMT(EH+MS:1.0?0.3 vs EH:0.8?0.2 vs control: 0.5?0.1 mm)and hsCRP(EH+MS:0.9?0.4 vs EH:0.7?0.3 vs control:0.4?0.2 mg/L)were significantly higher in EH+MS patients than that in EH+nonMS patients and control subjects(P all