The present paper is to evaluate the scientific research level and development trends of biomedical engineering in China using metrology analysis on Chinese biomedical engineering scientific literatures. Pubmed is used to search the biomedical engineering publications in recent 5 years which are indexed by Science Citation Index, and the number and cited times of these publications and the impact factor of the journals are analyzed. The results show that comparing with the world, although the number of the publication in China has increased in recent 5 years, there is still much room for improvement. Among Chinese mainland, Hongkong and Taiwan, Chinese mainland maintains the obvious advantage in this subject, but Hongkong has the highest average cited number. Shanghai and Beijing have better research ability than other areas in Chinese mainland.
ObjectiveTo systematically review the diagnostic value of PCR-single-strand conformational polymorphism (PCR-SSCP) method for detecting rpoB gene mutation of rifampin-resistant mycobacterium tuberculosis. MethodsSuch databases as PubMed, Web of Science, The Cochrane Library (Issue 2, 2014), CBM, VIP and WanFang Data were electronically and comprehensively searched for relevant studies on the diagnostic value of PCR-SSCP method for detecting rpoB gene mutation of rifampin-resistant mycobacterium tuberculosis from inception to January 1st, 2014. Literature screening according to the inclusion and exclusion criteria, data extraction and methodological quality assessment were completed by two reviewers independently. Meta-analysis was then conducted using Meta-Disc 1.4 and Stata 12.0. ResultsA total of 10 studies were included involving 1 299 cases. The results of meta-analysis showed SEN=0.92 (95%CI 0.90 to 0.94, P=0.019 3), SPE=0.97 (95%CI 0.95 to 0.98, P < 0.000 1), +LR=23.68 (95%CI 8.71 to 64.37, P < 0.000 1), -LR=0.10 (95%CI 0.06 to 0.15, P=0.023 1), DOR=257.16 (95%CI 96.82 to 683.02, P=0.020 0), and SROC area under the curve (AUC) was 0.971 5, and Q* was 0.922 3. The results of sensitivity analysis (after removing studies with sample size less than 100, Chinese studies and QUADAS more than 10 studies) showed that, the results were stable with reliable conclusion. ConclusionPCR-SSCP method has a fairly high value in the diagnosis of rpoB gene mutation of rifampinresistant mycobacterium tuberculosis.
This study aims to explore the diagnosis in patients with Alzheimer's disease (AD) based on magnetic resonance (MR) images, and to compare the differences of bilateral hippocampus in classification and recognition. MR images were obtained from 25 AD patients and 25 normal controls (NC) respectively. Three-dimensional texture features were extracted from bilateral hippocampus of each subject. The texture features that existed significant differences between AD and NC were used as the features in a classification procedure. Back propagation (BP) neural network model was built to classify AD patients from healthy controls. The classification accuracy of three methods, which were principal components analysis, linear discriminant analysis and non-linear discriminant analysis, was obtained and compared. The correlations between bilateral hippocampal texture parameters and Mini-Mental State Examination (MMSE) scores were calculated. The classification accuracy of nonlinear discriminant analysis with a neural network model was the highest, and the classification accuracy of right hippocampus was higher than that of the left. The bilateral hippocampal texture features were correlated to MMSE scores, and the relative of right hippocampus was higher than that of the left. The neural network model with three-dimensional texture features could recognize AD patients and NC, and right hippocampus might be more helpful to AD diagnosis.
ObjectiveTo explore the molecular characteristics of partial epilepsy with febrile seizures plus(PEFS+). MethodsWe systematically reviewed all SCN1A mutation-related publications that published between Jan.2000 and Dec.2014 on Pubmed and established a database of SCN1A mutations (http://www.gzneurosci.com/SCN1Adatabase/). The characteristics of mutations that cause PEFS+ were analyzed and compared with that of severe myoclonic epilepsy in infancy (SMEI). ResultsThe database included 1, 257 SCN1A mutations, which identified from 1, 727 unrelated cases. In which there were 30 mutations, from 32 unrelated cases, were associated with PEFS+. 76.7% (23/30) mutations were missense, of which 47.8% (11/23) were located on pore region. Significant difference in the percentage of truncation mutation was observed between PEFS+ and SMEI (P < 0.05). There was no significant difference in the percentage of missense mutation that located on the pore region between PEFS+ and SMEI; but the differ significantly in D-value of the missense mutations, which quantified the alteration of amino acid(P=0.042, rank sum test). ConclusionsPEFS+, which distinguishes from GEFS+ and SMEI in clinical and molecular characteristics, is a special phenotype of epilepsy that is associated with SCN1A mutations.