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

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

Central Nervous System Diseases ; complications ; Humans ; Pulmonary Edema ; etiology

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.

Objective To establish a method for rapid determination of nitrate in air. Methods Nitrate in air was absorbed using Na2CO3-NaHCO3 solution and the content of nitrate in the absorption liquid was determined by ion chromatography. Results The detection limit of NO3- was 0.008 mg/m3 when the sampling volume of air was 100 L. The linear correlation coefficient was 0.999 6. The relative standard deviation of the method was less than 5% and the recovery rates was 92.0%-96.7%. Conclusion The method had good selectivity and was simple and rapid for the determination of nitrate in air.

OBJECTIVE:To provide reference for the instructions of domestic Clindamycin phosphate injection. METHODS:The contents in the instructions of domestic Clindamycin phosphate injection approved the listing from Jan. 2006 to Dec. 2015 were statistically investigated according to Regulation for Drug Package Inserts and Label Management and Regulatory Guidelines for Chemicals and Biologicals,and the items with great differences in different approval number were analyzed comparatively. RE-SULTS:The labeling rate of clinical experiment in the collected 25 instructions of domestic Clindamycin phosphate injection was 0,the labeling rate of validity was 44%,the labeling rate of use for elderly patients was 68%,the labeling rate of overdosage was 76%,and the labeling rate of others was 100%. The items with great differences were mainly special populations,usage and dos-age,adverse reactions,validity,storage conditions and precautions. CONCLUSIONS:There are great differences in instructions of domestic Clindamycin phosphate injection,some items are inaccurate,incomplete and lack of scientificity,which may result in ir-rational drug use in patients and increase the risk of medication. It is suggested that the domestic enterprises should modify and per-fect the contents of the instructions of domestic Clindamycin phosphate injections referring to the instructions of foreign brand name drug;and the drug regulatory department should strengthen the monitoring of drug instructions.