中医舌诊术语英译国际标准探究＊

本文通过对《中医基本名词术语中英对照国际标准》和《WHO西太平洋地区传统医学名词术语国际标准》舌诊术语进行比较，分析两部标准中舌诊术语英译的优缺点，提出更适宜优先选择作为中医舌诊术语英译标准的方案，以期为中医名词术语标准化工作提供参考。     

Out of the boxes,out of the silos: The need of interdisciplinary collaboration to reduce poor-quality medical products in the supply chain

In this paper, we argue that understanding and addressing the problem of poor-quality medical products requires a more interdisciplinary approach than has been evident to date. While prospective studies based on rigorous standardized methodologies are the gold standard for measuring the prevalence of poor-quality medical products and understanding their distribution nationally and internationally, they should be complemented by social science research to unpack the complex set of social, economic, and governance factors that underlie these patterns. In the following sections, we discuss specific examples of prospective quality surveys and of social science studies, highlighting the value of cross-sector partnerships in driving high-quality, policy-relevant research in this area.     

Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features

PurposeThe purpose of this study was to determine whether computed tomography (CT)-based machine learning of radiomics features could help distinguish autoimmune pancreatitis (AIP) from pancreatic ductal adenocarcinoma (PDAC).Materials and MethodsEighty-nine patients with AIP (65 men, 24 women; mean age, 59.7 ± 13.9 [SD] years; range: 21–83 years) and 93 patients with PDAC (68 men, 25 women; mean age, 60.1 ± 12.3 [SD] years; range: 36–86 years) were retrospectively included. All patients had dedicated dual-phase pancreatic protocol CT between 2004 and 2018. Thin-slice images (0.75/0.5 mm thickness/increment) were compared with thick-slices images (3 or 5 mm thickness/increment). Pancreatic regions involved by PDAC or AIP (areas of enlargement, altered enhancement, effacement of pancreatic duct) as well as uninvolved parenchyma were segmented as three-dimensional volumes. Four hundred and thirty-one radiomics features were extracted and a random forest was used to distinguish AIP from PDAC. CT data of 60 AIP and 60 PDAC patients were used for training and those of 29 AIP and 33 PDAC independent patients were used for testing.ResultsThe pancreas was diffusely involved in 37 (37/89; 41.6%) patients with AIP and not diffusely in 52 (52/89; 58.4%) patients. Using machine learning, 95.2% (59/62; 95% confidence interval [CI]: 89.8–100%), 83.9% (52:67; 95% CI: 74.7–93.0%) and 77.4% (48/62; 95% CI: 67.0–87.8%) of the 62 test patients were correctly classified as either having PDAC or AIP with thin-slice venous phase, thin-slice arterial phase, and thick-slice venous phase CT, respectively. Three of the 29 patients with AIP (3/29; 10.3%) were incorrectly classified as having PDAC but all 33 patients with PDAC (33/33; 100%) were correctly classified with thin-slice venous phase with 89.7% sensitivity (26/29; 95% CI: 78.6–100%) and 100% specificity (33/33; 95% CI: 93–100%) for the diagnosis of AIP, 95.2% accuracy (59/62; 95% CI: 89.8–100%) and area under the curve of 0.975 (95% CI: 0.936–1.0).ConclusionsRadiomic features help differentiate AIP from PDAC with an overall accuracy of 95.2%.     

中期18F-FDG PET-CT两种图像判读法在弥漫性大B细胞淋巴瘤预后评估中的应用

目的:探讨中期正电子发射型计算机断层显像(positron emission tomography-computed tomography,PET-CT)Deauville五分法(Deauville five-point scale,5-PS)与最大标准摄取值缩减率(maximum standard uptake value variation,△SUVmax)两种图像判读法在弥漫性大B细胞淋巴瘤(diffuse large B-cell lymphoma,DLBCL)患者预后评估中的应用价值。方法:回顾性分析2012年10月至2018年6月重庆医科大学附属第一医院收治的94例DLBCL患者资料。采用Kaplan-Meier法及Cox比例风险回归模型进行生存资料分析,计算并采用χ2检验比较5-PS和△SUVmax对DLBCL患者预后预测的能力。结果:5-PS和△SUVmax分别以4分、86%进行分组。5-PS<4分组、△SUVmax≥86%组的患者无进展生存期(progression free survival,PFS)和总生存期(overall survival,OS)均优于5-PS≥4分组、△SUVmax<86%组的患者(P<0.05)。△SUVmax与5-PS对患者PFS和OS均有影响,较高的阴性预测值(89.4%,93.6%;76.1%,85.9%),较低的阳性预测值(48.9%,31.9%;47.8%,34.8%),并且△SUVmax对于患者的敏感性优于5-PS(82.1%,83.3%vs.39.3%,44.4%)。单因素分析中国际预后指数(international prognostic index,IPI)(P=0.007)、△SUVmax(P<0.001)、5-PS(P=0.014)及基线全身肿瘤代谢体积(total metabolic tumor volume,TMTV)(P=0.001)与PFS相关,△SUVmax(P=0.014)、5-PS(P=0.033)、TMTV(P=0.004)与OS相关;多因素分析显示TMTV是OS的独立预测因子(P=0.005),△SUVmax和TMTV是PFS的独立预测因子(P=0.002,P=0.020),并且△SUVmax<86%且高水平TMTV患者较低TMTV患者的PFS明显缩短(P=0.001)。结论:5-PS和△SUVmax均能初步评估DLBCL患者预后,但△SUVmax具有更高的预测价值,并且联合基线TMTV可以对DLBCL患者进行再次危险度分层。     

Development of a Simulation-Based Mastery Learning Curriculum for Breaking Bad News

Introduction

Physician communication impacts patient outcomes. However, communication skills, especially around difficult conversations, remain suboptimal, and there is no clear way to determine the validity of entrustment decisions. The aims of this study were to 1) describe the development of a simulation-based mastery learning (SBML) curriculum for breaking bad news (BBN) conversation skills and 2) set a defensible minimum passing standard (MPS) to ensure uniform skill acquisition among learners.

单抗N糖分析系统适用性对照品的建立

目的建立单抗N糖分析方法的系统适用性对照品,并设定相应的系统适用性要求。方法利用液质联用(LC-MS)仪对N糖系统适用性对照品进行N糖型的表征鉴别,并对对照品进行稳定性评价。结合方法特点和验证数据,对系统适用性要求进行设定。结果建立的系统适用性对照品具有良好的稳定性,其糖型涵盖了单抗主要的N糖型种类。针对3种药典拟收录的单抗N糖分析方法,设定了以下系统适用性要求,包括:图谱与典型图谱相似、G1F(1,6)和G1F(1,3)的分离度应满足具体要求、G0F%应在规定的范围内、G0F保留时间的RSD应≤4%。结论建立了单抗N糖系统适用性对照品,可配合3种2020年版《中国药典》拟收录的N糖分析方法使用。