GE宝石能谱CT故障分析

简要介绍了GE宝石能谱CT(Discovery CT750 HD)的技术特点,详细阐述了日常使用中出现的间歇性停机、无法进行Fastcal(快速空气校正)以及扫描中断和gantry(扫描架)自动复位3例故障的维修过程,为医院维修人员维修类似故障提供了参考。最后总结了医疗设备常见故障及主要故障原因,提出了快速排查CT故障的方法,并建议在日常使用中及时保养维护以降低设备故障率。     

Mixed Reality Combined with Three‐Dimensional Printing Technology in Total Hip Arthroplasty: An Updated Review with a Preliminary Case Presentation

Three‐dimensional (3D) printing technology, virtual reality, and augmented reality technology have been used to help surgeons to complete complex total hip arthroplasty, while their respective shortcomings limit their further application. With the development of technology, mixed reality (MR) technology has been applied to improve the success rate of complicated hip arthroplasty because of its unique advantages. We presented a case of a 59‐year‐old man with an intertrochanteric fracture in the left femur, who had received a prior left hip fusion. After admission to our hospital, a left total hip arthroplasty was performed on the patient using a combination of MR technology and 3D printing technology. Before surgery, 3D reconstruction of a certain bony landmark exposed in the surgical area was first performed. Then a veneer part was designed according to the bony landmark and connected to a reference registration landmark outside the body through a connecting rod. After that, the series of parts were made into a holistic reference registration instrument using 3D printing technology, and the patient's data for bone and surrounding tissue, along with digital 3D information of the reference registration instrument, were imported into the head‐mounted display (HMD). During the operation, the disinfected reference registration instrument was installed on the selected bony landmark, and then the automatic real‐time registration was realized by HMD through recognizing the registration landmark on the reference registration instrument, whereby the patient's virtual bone and other anatomical structures were quickly and accurately superimposed on the real body of the patient. To the best of our knowledge, this is the first report to use MR combined with 3D printing technology in total hip arthroplasty.     

门诊和病房电脑鼠标细菌污染情况调查

目的调查门诊和普通病房电脑鼠标不同时段的细菌污染情况。方法随机抽取某院门诊及普通病房的各16个电脑鼠标，分别于8∶00、10∶30、13∶00、15∶30进行采样，样本接种培养后对菌落计数并筛查多重耐药菌。结果32个鼠标共计采样128次，最高菌落数达121 CFU/cm2，平均菌落数为23.9 CFU/cm2。随着时间的推移，同一鼠标的细菌计数逐渐增多。不同时段门诊和病房的电脑鼠标菌落数比较，在10∶30、13∶00、15∶30三个时间点，病房鼠标的菌落数均高于门诊（均P≤0.05）。64个病房电脑鼠标标本中检出耐甲氧西林金黄色葡萄球菌（MRSA）和耐碳青霉烯类鲍曼不动杆菌（CRAB）各1株。结论加强鼠标日常清洁消毒及监测工作非常重要，应增加清洁消毒频率或更换长效消毒剂，加强病房环境的清洁消毒。     

试论异常毒性作为药品质量控制指标的合理性

异常毒性最初是一种确保复杂成分制剂生产工艺一致性及安全性的辅助检测手段，后来成为针对外源性毒性污染物的通用安全性检测项，曾在世界范围内被各国药典收载。由于该检测与药品质量、安全性之间的关联性受到质疑，各国药典逐渐在各论及通则中删除该检测项，目前仅《中国药典》保留异常毒性。由于该检测存在设定限值难以统一、给药体积及给药剂量不合理、结果易受干扰且缺乏明确的判定标准等试验原理及设计上的缺陷，导致其试验结果没有实际参考意义。基于对历史数据的回顾分析，国际监管机构及卫生组织对异常毒性有了更为科学的认知，并已逐渐形成统一的监管共识：严格的生产控制措施和有效的质量检测手段，比异常毒性检测更为重要；异常毒性检测结果或与产品质量及污染不具相关性；在异常毒性检查中使用大量动物不符合动物福利和“3R”原则。本文从科学角度试论异常毒性作为药品质量控制指标的合理性，并总结异常毒性修订的科学原则，希望能为我国监管机构、制药行业修订异常毒性相关内容提供思考角度。     

电针对缺血性脑卒中大鼠记忆功能及脑内突触囊泡蛋白的影响

观察电针对缺血性脑卒中大鼠记忆功能及脑内突触囊泡蛋白（synaptic vesicular protein，SYN）的影响，探讨其可能的作用机制。方法 选取90 只SD大鼠随机分为模型组、电针组、假手术组，每组各30只。线拴法制作急性大脑中动脉缺血大鼠模型。电针组取“百会”“水沟”“内关”“三阴交”穴位，应用“醒脑开窍”法进行电针，每天电针30 min，连续电针6 d休1 d，7 d为一个疗程，首次电针干预在造模成功24 h后进行。模型组和假手术组不进行电针干预。大鼠分别按7、14、21 d 3个亚组进行运动及记忆功能评分，TTC染色测定脑梗死体积、Western blot检测脑内SYN的蛋白表达。结果 电针组运动功能评分较模型组显著降低（P<0.01），电针组进入隐藏区潜伏期时间较模型组显著缩短（P<0.01），电针组脑梗死率较模型组显著缩小（P<0.01），SYN的蛋白表达电针组较模型组明显增强（P<0.01）。假手术组无神经功能缺损及脑梗死灶，SYN表达最弱。结论 电针干预能减小脑梗死体积，上调脑内SYN的表达，进而促进缺血性脑卒中大鼠的记忆及运动等神经功能的恢复。     

临床检验不合格血液标本产生原因及质量改进研究

目的:分析临床检验不合格血液标本的原因为何,研究相应的质量改进方法。方法:本课题自我院检验血液标本样本中抽取140份,其中2018年2月~2019年3月的70份命名成对照组,2019年4月~2020年3月的70份命名成试验组,前一组未进行质量改进,后一组进行质量改进,比较检验结果有何不同。结果:试验组这组的检验标本不合格率要比对照组那组的检验标本不合格率低,数据上是P<0.05的情况,即表明有统计学意义。结论:凝血反应、溶血反应、样本问题、送检失误、抗凝不全等是导致临床检验不合格血液标本的原因所在,实施质量改进可将血液标本质量提高。     

Exact confidence intervals for the average causal effect on a binary outcome

Based on the physical randomization of completely randomized experiments, in a recent article in Statistics in Medicine, Rigdon and Hudgens propose two approaches to obtaining exact confidence intervals for the average causal effect on a binary outcome. They construct the first confidence interval by combining, with the Bonferroni adjustment, the prediction sets for treatment effects among treatment and control groups, and the second one by inverting a series of randomization tests. With sample size n, their second approach requires performing O(n⁴)randomization tests. We demonstrate that the physical randomization also justifies other ways to constructing exact confidence intervals that are more computationally efficient. By exploiting recent advances in hypergeometric confidence intervals and the stochastic order information of randomization tests, we propose approaches that either do not need to invoke Monte Carlo or require performing at most O(n²)randomization tests. We provide technical details and R code in the Supporting Information . Copyright © 2016 John Wiley & Sons, Ltd.