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%.     

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。     

中国X连锁视网膜色素变性家系RPGR新突变

目的 检测分析被诊断为X连锁视网膜色素变性（XLRP）的三个中国家系内的基因突变。设计 基因研究。研究对象 三个中国XLRP家系共27位受试者（其中18人为男性）。方法 由同一医生收集家系成员的详细临床资料并进行眼部检查，采集三个家系的先证者及有条件采血者的外周静脉血，提取基因组DNA。应用PCR技术扩增RPGR和RP2基因的全部外显子和内含子交界区序列，包括RPGR基因15号外显子开放阅读框，产物直接测序进行突变分析。主要指标 临床特征及基因测序结果。结果 基因筛查证实了两个RPGR基因的新型无义突变(c.1541C>G;p.S514X 和 c.2833G>T;p.E945X) 及一个错义突变(c.607G>C;p.A203P)。基因型-表型的相关性分析表明家系3患者在接近ORF15下游位置存在突变，这种突变导致视锥细胞功能的早期丧失。ORF15无义突变的女性携带者临床表型重，呈现出部分显性遗传的特点。结论 本研究证实了三种RPGR基因的新型突变，这一结果扩展了RPGR的突变谱及表型谱。     

Maîtrise des risques liés à la production des fluides de dialyse dans une unité de télédialyse

Objective

The “Centre Hospitalier Francois Dunan” is located on an isolated island and ensures patients care in hemodialysis thanks to telemedicine support. Many research studies have demonstrated the importance of hemodialysis fluids composition to reduce morbidity in patients on chronic hemodialysis. The aim of this study was to identify the risks inherent in the production of dialysis fluids in a particular context, in order to set up an improvement action plan to improve risk control on the production of dialysis fluids.

中日友好医院分型股骨头坏死腓骨植入治疗的三维有限元分析

文题释义：股骨头坏死中日友好医院分型的有限元分析：根据李子荣等提出的中日友好医院分型，建立股骨头坏死三维模型，分为 M型(内侧型)、C型(中央型)和 L型(外侧型)，其中 L型包括L1型(次外侧型)、L2型(极外侧型)和 L3型(全头型)。通过对建立的模型进行有限元分析，为该分型的保髋治疗提供了一定力学依据，显示外侧柱的存留是精准预防塌陷的重要因素，为进一步实现个体化治疗提供力学基础。 腓骨支撑坏死股骨头保髋手术：是对于早中期股骨头坏死需要保留股骨头患者进行的一种手术方式。首先需对股骨头进行髓芯减压，清除一定坏死骨，空腔填塞松质骨(髂骨为主)，打压结实后植入腓骨(异体或自体)支撑，给坏死区的提供力学支撑及生物学修复，预防股骨头进一步坏死及塌陷。 背景：研究报道股骨头坏死的保髋疗效与外侧柱存留密切相关，中日友好医院分型是根据三柱结构确立的，对股骨头塌陷的预测准确性高。 目的：建立股骨头坏死中日友好医院分型各分型仿真的三维有限元模型，通过有限元分析各分型腓骨植入的力学变化，探讨外侧柱存留对保髋疗效的意义，为该分型的塌陷精准预测提供基础。 方法：建立正常股骨头、中日友好医院分型(M型、C型、L1型、L2型、L3型)股骨头坏死及其腓骨植入3组11种三维有限元模型，运用ANSYS软件进行有限元分析计算，观察各组模型的最大应力值、最大位移值及股骨头内部载荷传递模式。 结果与结论：①坏死组位移最大，应变最大，且因坏死分型不同而位移不同，位移变化如下：M型相似文献   

基于灰色关联度分析和聚类分析的3种滇产重楼抗肝癌作用谱效关系探索

目的:研究长柱重楼、滇重楼和南重楼的HPLC指纹图谱与其抗肝癌作用的谱效关系,为明确重楼抗肝癌作用的物质基础提供实验依据。方法:采用HPLC建立3种重楼提取物的指纹图谱,流动相乙腈(A)-水(B)梯度洗脱(0～10 min,20%A; 10～20 min,20%～25%A; 20～30 min,25%～30%A; 30～40 min,30%～35%A; 40～50 min,35%～40%A; 50～60 min,40%A; 60～75 min,40%～45%A; 75～80 min,45%～60%A),流速0. 9 m L·min~(-1),检测波长203 nm;利用噻唑蓝(MTT)比色法测定3种重楼提取物对肝癌HepG2细胞的增殖抑制作用,计算半数抑制浓度(IC_(50));运用聚类分析(HCA)和灰色关联度分析(GRA)研究3种重楼指纹图谱和抗肝癌作用的关系,找出对抗肝癌作用贡献较大的成分。结果:在3种重楼的HPLC指纹图谱中,确定其中11个色谱峰为共有峰。作用时间72 h时长柱重楼、滇重楼、南重楼的IC_(50)分别为148. 33,178. 87,208. 09 mg·L~(-1),其中长柱重楼的抗肝癌活性最强。灰色关联度结果显示,滇重楼共有峰中关联度较高的为1～10号峰,长柱重楼共有峰关联度较高的为1～7号峰,南重楼共有峰中关联度较高的为1～4,6～10,N1号峰,与IC_(50)关联度均0. 7。各重楼变量的聚类分析结果显示,可与IC_(50)聚为一类的色谱峰的关联度均 0. 7。结论:建立了3种重楼的HPLC指纹图谱,重复性良好。3种重楼中的1～4,6和7号色谱峰对抗肝癌药效贡献最大。     

中西医结合治疗癫痫伴抑郁Meta分析

目的:系统评价中西医结合治疗癫痫伴抑郁患者的临床疗效。方法:计算机检索中国知网、万方数据库、中国医学生物文献数据库、维普资讯、PubMed及Web of Science等中英文数据库,筛选出自各数据库建库以来至2018年7月关于中西医结合治疗癫痫伴抑郁的临床随机对照试验(randomized controlled trial,RCT)研究,根据系统评价标准依次进行文献质量评价和Meta分析。结果:纳入14个研究,共1183例患者。Meta分析结果显示:中西医结合治疗癫痫伴抑郁在降低HAMD评分、提高QLOIE-31评分方面优于单纯西药治疗。癫痫发作频次改善率效应值合并量OR=3.53,95%CI(1.73,7.17),Z=3.48(P=0.0005),差异有统计学意义(P<0.05)。临床安全性效应值合并量OR=0.59,95%CI(0.35,0.98),Z=2.03(P=0.04),差异有统计学意义(P<0.05)。结论:中西医结合足疗程治疗癫痫伴抑郁临床疗效优于单纯西药治疗,且临床安全性良好,但因纳入研究数量和质量有限,上述结论尚待高质量的RCT研究验证。     

基于多元统计分析的银杏叶提取物中有机酸类成分含量研究

目的建立HPLC法测定银杏叶提取物中9种小分子有机酸类成分莽草酸、儿茶素、表儿茶素、没食子酸、原儿茶酸、6-羟基犬尿喹啉酸、对羟基苯甲酸、对羟基肉桂酸、咖啡酸含量的方法,并结合多元统计分析方法比较不同厂家生产的银杏叶提取物间质量差异。方法采用Inertsil ODS-3 C_(18)(250 mm×4.6 mm,5μm)色谱柱;以乙腈-0.4%磷酸水溶液为流动相,梯度洗脱,波长切换测定(220 nm检测莽草酸、儿茶素、表儿茶素,254 nm检测没食子酸、原儿茶酸、6-羟基犬尿喹啉酸、对羟基苯甲酸,310 nm检测对羟基肉桂酸、咖啡酸),柱温40℃。结果不同厂家生产的银杏叶提取物中有机酸总含量有差异,厂家内部样品中各有机酸含量同样存在差异。经聚类分析、主成分分析、相关与回归分析等多元统计方法分析,筛选出儿茶素、没食子酸、原儿茶酸及6-羟基犬尿喹啉酸为体现样品质量差异的特征成分,同时成分间具有内在相关性。结论建立的方法操作简便、重复性好、结果可靠,可用于银杏叶提取物中有机酸类成分的质量评价。筛选出的儿茶素、没食子酸、原儿茶酸及6-羟基犬尿喹啉酸是体现质量差异的特征成分,又是具有内在关联的共性成分,为提升银杏叶提取物整体质量控制能力提供了依据,同时表明银杏叶提取物的提取工艺并不统一,企业内部工艺的稳定性也有待提高。     

Myeloid-derived suppressor cell (MDSC) key genes analysis in rat anti-CD28-induced immune tolerance kidney transplantation

BackgroundIn the field of transplantation, inducing immune tolerance in recipients is of great importance. Blocking co-stimulatory molecule using anti-CD28 antibody could induce tolerance in a rat kidney transplantation model. Myeloid-derived suppressor cells (MDSCs) reveals strong immune suppressive abilities in kidney transplantation. Here we analyzed key genes of MDSCs leading to transplant tolerance in this model.MethodsMicroarray data of rat gene expression profiles under accession number {"type":"entrez-geo","attrs":{"text":"GSE28545","term_id":"28545"}}GSE28545 in the Gene Expression Omnibus (GEO) database were analyzed. Running the LIMMA package in R language, the differentially expressed genes (DEGs) were found. Enrichment analysis of the DEGs was conducted in the Database for Annotation, Visualization and Integrated Discovery (DAVID) database to explore gene ontology (GO) annotation and their Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways. Their protein-protein interactions (PPIs) were provided by STRING database and was visualized in Cytoscape. Hub genes were carried out by CytoHubba.ResultsThree hundred and thirty-eight DEGs were exported, including 27 upregulated and 311 downregulated genes. The functions and KEGG pathways of the DEGs were assessed and the PPI network was constructed based on the string interactions of the DEGs. The network was visualized in Cytoscape; the entire PPI network consisted of 192 nodes and 469 edges. Zap70, Cdc42, Stat1, Stat4, Ccl5 and Cxcr3 were among the hub genes.ConclusionsThese key genes, corresponding proteins and their functions may provide valuable background for both basic and clinical research and could be the direction of future studies in immune tolerance, especially those examining immunocyte-induced tolerance.