1.Effect of Monitoring of Cleaning and Disinfection of Endoscopes in the Medical Institutions in Guangzhou
Xu ZHANG ; Yunwan LIN ; Peng HE
Modern Hospital 2016;16(10):1503-1504,1507
Objective To understand the current situation of endoscope disinfection and sterilization quality of the medicalinstitutions in Guangzhou , and provide evidence for improvement of disinfection surveillance and nosocomial infection control management in the area .Methods The field survey and sampling examination were used to monitor the cleaning and disinfection effect of endoscopes in the medical institutions in 3 years.Results The cleaning and disinfection management of endoscopes in the medical institutions of Guangzhou was nearly eligible .In 3 years, a total of 106 samples were examined continually .The average eligible rate of cleaning and disinfection effect of endoscopes was 90.0%.The eligible rates in 2012-2014 were 95.6%, 85.2%, 85.3%respectively, and the difference was not significant (χ2 =2.960, P>0.05); Among the different types of endoscopes , the qualified rates of the disinfection of the enteroscopes and the gastroscopes lumen were 83.3%, 92.1%respectively.The difference between the two was not significant;Using integrated endoscopic wash -infec-tion center and the use of four or five channel slot method for cleaning disinfection , qualified rate difference has no statistical significance (P>0.05);Both the concrntration of the disinfectants and the hygienic puality were pualified .Conclusion We should strengthen the disinfection supervision and monitoring and give some technical advices for medical institutions to improve the ability to prevent and control hospital infection .
2.Low-dose CT angiography image restoration using normal dose scan-induced non-local means algorithm.
Yunwan ZHANG ; Yang LIU ; Jing HUANG ; Dong ZENG ; Zhaoying BIAN ; Hua ZHANG ; Jianhua MA
Journal of Southern Medical University 2013;33(9):1299-1303
OBJECTIVETo minimize of the radiation dose of cardiovascular CT angiography (CTA) imaging while preserving the image quality.
METHODSTo reduce the radiation dose in CTA imaging, the normal-dose scan induced non-local means (ndiNLM) algorithm was adapted for low-mAs scanned CTA image restoration by using the previous scanned high-quality image.
RESULTSQualitative and quantitative evaluations were carried out on both simulated phantom and clinical CTA scans in terms of accuracy and resolution properties. Compared to the original NLM algorithm, the ndiNLM method could achieve noticeable gains in terms of noise-induced artifacts suppression and enhanced structure preservation.
CONCLUSIONThe ndiNLM algorithm is a potential useful technique to reduce the radiation dose in CTA imaging.
Algorithms ; Coronary Angiography ; Humans ; Image Processing, Computer-Assisted ; methods ; Models, Statistical ; Radiation Dosage ; Tomography, X-Ray Computed