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%.     

Aminotransferases During Treatment Predict Long-Term Survival in Patients With Autoimmune Hepatitis Type 1: A Landmark Analysis

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The effect of short or long sleep duration on quality of life and depression: an internet-based survey in Japan

BackgroundTo date, no previous studies have evaluated the relationship between sleep duration and quality of life (QOL) or depression in the general population after controlling for daytime sleepiness and sleep disturbances.MethodsA web-based cross-sectional survey was conducted with 8698 subjects aged 20–69 years. We examined the relationships between weekday sleep duration and daytime sleepiness, sleep disturbance, QOL and depression, using the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index (without the item for sleep duration), 8-item Short Form and Center for Epidemiological Studies Depression Scale (CES-D).ResultsDaytime sleepiness tended to increase in proportion to shorter weekday sleep durations. Sleep disturbances, physical and mental QOL, and CES-D scores were worse in both the shorter and longer sleep groups compared with the group with 7–8 h of sleep. Hierarchical logistic regression analyses revealed that short sleep duration but not long sleep duration was significantly associated with reduction of both physical and mental QOL, even after controlling for the presence of daytime sleepiness and sleep disturbance. Both short and long sleep duration were independently and significantly correlated with depression after controlling for daytime sleepiness; however, there was no statistically significant association after adjusting for the effects of sleep disturbance.ConclusionsThe results suggested adverse effects of short sleep but not long sleep on both physical and mental QOL. In addition, the negative impact of specific types of sleep disturbance on depression may be greater than the impact of shortening of sleep duration.     

一次性湿热交换器在新生儿机械通气长途转运中应用的效果分析

目的探讨研究一次性湿热交换器在新生儿机械通气长途转运中应用的临床意义。方法 2017年1月-2017年12月,我院120转运中心长途转运接收786例机械通气新生儿,786例患儿随机分为常规气道护理(对照组)和转运途中应用一次性湿热交换器组(治疗组),对比转运过程中的吸痰次数、肉眼可见痰痂形成率、堵管发生率、脱管发生率、人机对抗发生率。结果研究数据显示治疗组吸痰次数、肉眼可见痰痂形成率、堵管发生率、脱管发生率、人机对抗发生率有显著性差异(P<0.05)明显低于对照组。结论在机械通气新生儿长途转运中,一次性湿热交换器的可减少转运患儿吸痰次数发生率、降低肉眼可见痰痂形成率、堵管发生率、脱管发生率、人机对抗发生率具有明显优越性,值得推广。     

益气复智颗粒对多发脑梗死性痴呆模型大鼠脑组织细胞凋亡的影响

目的 观察益气复智颗粒对多发脑梗死性痴呆模型大鼠脑皮质形态学、细胞凋亡的影响。方法 采用颈内动脉注射血栓的方法，复制多发梗死性痴呆大鼠模型，观察益气复智颗粒12．42g/kg分别于手术前、手术前后、手术后灌胃对实验动物脑皮质形态学、细胞凋亡的影响。结果 益气复智颗粒能使脑缺血后脑内神经细胞凋亡数目下降。结论 益气复智颗粒具有较好的保护脑神经元，阻断脑缺血致神经细胞死亡病理过程的作用。     

HPLC法测定滑膜炎颗粒中原儿茶醛的含量

目的建立滑膜炎颗粒剂中原儿茶醛的含量测定方法质量。方法采用高效液相色谱法对方中原儿茶醛进行含量测定。结果高效液相色谱法测定结果表明原儿茶醛在0．1005～1．005μg范围内呈线性关系，平均加样回收率为99．22％；RSD为0．72％。结论本法简便，重现性好、结果可靠，可作为控制滑膜炎颗粒剂的质量方法。     

水面长航舰载保存血液生化指标的实验研究

目的探讨和观察经水面长航舰载保存血液出海前后对生化指标的影响与变化。方法随机采集和制备WB、AS-RBC和LP-RBC各18人份(200ml)。每份血液各等分为4袋,配对设计为实验组(A区、B区和C区)与对照组。分别于长航前和长航后进行血液生化指标检测。结果①K+和P3+浓度在三种血液制品的实验组与对照组各观察点的结果均随保存血液时间的延长而增高(P<0.05或P<0.01);Na+浓度由长航前的水平而逐步降低(P<0.01);P3+、Mg2+实验组和对照组较长航前增高,Cl-、Ca2+的含量与长航前没有显著变化;②LDH、AST、CKP和HBDH结果实验组和对照组均呈递增趋势,AKP结果实验组和对照组均呈下降表现,ALT与GGT结果在长航前后变化不明显;③Glu指标减低,UA呈上升趋势。结论长航对血液保存有一定的影响,但总的变化趋势与常规(4±2)℃血库冰箱保存相似。此项研究对于我们进一步探索海上血液保障与运输以及血液海上救护均具有十分重要的实用和军事价值。