Objective To analyze multislice CT characteristics of intestinal obstruction transition zone caused by different patholo-gy.Methods 67 cases of intestinal obstruction were collected in our hospital.Multislice spiral CT scan combined with multi-plane re-organization (MPR)of the bowl obstruction transitional zone were analysed.Results Among 67 cases of intestinal obstruction,there were 28 cases of simple mechanical intestinal obstruction,1 7 cases adhesion intestinal obstruction,5 cases paralytic intestinal obstruc-tion,4 cases internal hernias and 4 cases mixed intestinal obstruction.Conclusion Intestinal canal transitional zone and arounding tis-sues of intestinal obstruction have certain characteristics for the same pathology which can be clearly displayed by multislice CT scan combined with MPR.

A paper similarity network was constructed in light of semantic similarity algorithm using the complex network processing package , igraph in R language , and analyzed by random walk-trap algorithm , label propagation algorithm, BGII algorithm, and Girvan-Newman algorithm, respectively.The accuracy and stability of these 4 al-gorithms were compared according to the golden standards and the D function for network community classification evaluation index, which showed that the accuracy and stability of random walk-trap algorithm were better than those of the other 3 algorithms and preconditioning of complex network was an important influencing factor for clustering .

Child ; Humans ; Laryngostenosis ; diagnosis ; therapy ; Tracheal Stenosis ; diagnosis ; therapy

Esophageal Diseases ; Humans ; Medicine ; Tracheal Diseases

Objective To study the identification method of Akebia trifoliata(Thunb.) Koidz. by Fourier Transform Infrared (FTIR) Spectroscopy. Methods FTIR Spectroscopy was measured of Akebia trifoliate collected from different production areas. Results At the range of 737-1032cm-1, the Spectroscopy of Akebia trifolia of different production areas showed variances in peak value of infrared absorption, peak position, peak shape and peak strength, which can be regarded as identification evidence for Akebia trifoliate. Conclusion This mehthod is rapid, reliable, simple and effective. FTIR can be used as the identification index for Akebia trifoliate.

Objective:To study the expression of Wnt/β-catenin signaling pathway related proteins Wnt1 and β-catenin protein in gingival tissues of the patients with drug-induced gingival overgrowth(DGO) caused by nifedipine.Methods:Wnt1 and β-catenin expression were tested with Western Blot and RT-PCR in gingival tissues of 10 cases of DGO induced by nifedipine,10 cases of high blood pressure with gingival hyperplasia(without use of any medicine) and 10 cases of healthy control.Results:In the gingival tissues of DGO group the levels of Wnt1 and β-catenin protein and mRNA were significantly higher than those of the healthy control group(P ＜ 0.05) and the high blood pressure group (P ＜ 0.05).Conclusion:The levels of Wnt1 and β-catenin are increased in nifedipine induced gingival hyperplasia.The gingival hyperplasia may be caused by the promotion of gingival fibroblast proliferation through Wnt/β-catenin signaling pathway.

Objective: To investigate the influence and mechanism of zinc toxicity on the stucture and function of immune organs in ducks. Methods: By establishing the pathological model of zinc toxicity in ducks, some immunological methods, light and electron microscopes were used to check the changes in the stucture and function of immune system. Results: (1) The body weight of ZT group was significantly lower than that of ZC group after 3 weeks (P

Object High overlap of data window is essential to improve axial resolution in elastogaphy.However, correlated errors in displacement estimates increase dramatically with the increase of the overlap, and generate the so-called "worm" artifacts. This paper presents a wavelet shrinkage de-noising in strain estimates to reduce the worm artifacts at high overlap. Methods Each of axial strain A-lines was decomposed using discrete wavelet transformation up to 3 levels. The high frequency components of every levels of wavelet coefficients were quantified by using soft threshold function according to different adaptive thresholds. Then the discrete wavelet reconstruction were performed to produce a wavelet shrinkage denoised strain line. Results The simulation results illustrated that the presented technique could efficiently denoise worm artifacts and enhance the elastogram performance indices such as elastographic SNRe and CNRe. Elastogram obtained by wavelet denoising had the closest correspondence with ideal strain image. In addition, the results also demonstrated that wavelet shrinkage de-noising applied in strain estimates could obtain better image quality parameters than that apphed in displacement estimates. The elastic phantom experiments also showed the similar elastogram performance improvement. Conclusion Wavelet shrinkage de-noising can efficiently denoise the worm artifacts noise of elastogram and improve the performance indices of elastogram while maintaining the high axial resolution.

Objective To explore the methodology of choosing the volume and shape of the mammary implant.Methods The changes of the volume and shape were analyzed in 502 cases of breast augmentation,to find out how to select the volume and shape of the mammary implant.Results The thoracic width H was the most important factor of choosing width of the implant; the SN was the important factor of choosing the height of the anatomic implant; After setting the diameter and height of the implant,a bigger breast could be achieved by increasing the projection of implants.For those very thin females with flat chest, anatomic implants were the better choice. Conclusions Thoracic width,breast volume and other data are the most important factors in choosing the mammary implant.Round and anatomic mammary implants have their specific indications.

Aged ; Ear, Middle ; Eustachian Tube ; Female ; Foreign Bodies ; Humans