Bench to bedside: recent advances in lung cancer pathological research with implications for diagnostic clinical practice

After decades of relative stagnation lung cancer is emerging as a disease type where rapid progress is being made in diagnosis and therapy, as well as in our understanding of disease biology. Much of this progress is of immediate impact to diagnosticians, and more is likely to affect diagnostic practice in the near future. In this review we seek to briefly summarize several key areas of active research of immediate or probable imminent value to trainee and consultant pulmonary pathologists alike. We cover some major changes in tumour classification, grading, and patient stratification, as well as considering the state of the art in machine-assisted interpretation of lung cancer histology, and the use of genetically modified lung cancer models.     

Machine learning models for Parkinson’s disease detection and stage classification based on spatial-temporal gait parameters

BackgroundParkinson’s disease (PD) is a chronic and progressive neurodegenerative disease with no cure, presenting a challenging diagnosis and management. However, despite a significant number of criteria and guidelines have been proposed to improve the diagnosis of PD and to determine the PD stage, the gold standard for diagnosis and symptoms monitoring of PD is still mainly based on clinical evaluation, which includes several subjective factors. The use of machine learning (ML) algorithms in spatial-temporal gait parameters is an interesting advance with easy interpretation and objective factors that may assist in PD diagnostic and follow up.Research questionThis article studies ML algorithms for: i) distinguish people with PD vs. matched-healthy individuals; and ii) to discriminate PD stages, based on selected spatial-temporal parameters, including variability and asymmetry.MethodsGait data acquired from 63 people with PD with different levels of PD motor symptoms severity, and 63 matched-control group individuals, during self-selected walking speed, was study in the experiments.ResultsIn the PD diagnosis, a classification accuracy of 84.6 %, with a precision of 0.923 and a recall of 0.800, was achieved by the Naïve Bayes algorithm. We found four significant gait features in PD diagnosis: step length, velocity and width, and step width variability. As to the PD stage identification, the Random Forest outperformed the other studied ML algorithms, by reaching an Area Under the ROC curve of 0.786. We found two relevant gait features in identifying the PD stage: stride width variability and step double support time variability.SignificanceThe results showed that the studied ML algorithms have potential both to PD diagnosis and stage identification by analysing gait parameters.     

知母种子质量分级标准的研究

目的:研究制定知母种子的质量分级标准。方法:通过对不同产地20个批次知母种子的净度、千粒质量、含水量、生活力、发芽率等指标测定和外观形态观察,利用Excel 2010、SPSS 20.0软件对以上数据进行相关分析、主成分以及K-均值聚类分析,初步确定知母种子质量分级指标和分级标准,且以各等级知母种子分别在田间对比种植,通过测定1年产苗量,2年药材产量及有效成分含量,验证知母种子质量分级标准的合理性。结果:Ⅰ级知母种子发芽率不低于85%,千粒质量不低于7.5 g,净度不低于95%;Ⅱ级知母种子发芽率不低于70%,千粒质量不低于7.0 g,净度不低于85%;Ⅲ级知母种子发芽率不低于65%,千粒质量不低于6.0 g,净度不低于80%;各级种子含水量均小于10%。结论:发芽率和千粒质量为知母种子质量分级标准的主要指标,净度和含水量为参考指标。不同等级知母种子种植后对知母种苗产量、药材产量及质量会有显著影响。该研究制定的知母种子质量分级标准科学可行、符合生产实际,为知母的种子质量评价和规范化栽培提供参考依据。     

蓬辣滩水电站泄洪闸门及其监控系统改造

介绍了蓬辣滩水电站泄洪闸门的状况、计算机监控系统改造方案的结构和特点及闸门定轮轴承的改造情况,通过上述改造,提高了泄洪设备运行的自动化水平,同时也为其他闸门工程提供参考。     

17β-雌二醇对子宫内膜异位症患者在位子宫内膜间质细胞β-catenin mRNA和蛋白表达的影响

目的研究17β-雌二醇(17β-E2)对子宫内膜异位症(内异症)患者在位子宫内膜间质细胞β-catenin mRNA和蛋白表达的影响,探讨Wnt/β-catenin信号通路在介导雌激素促进内异症发生发展的作用。方法体外分离培养内异症患者在位子宫内膜间质细胞。用不同浓度17β-E2处理子宫内膜间质细胞48 h;此后选用10-10mol/L 17β-E2处理子宫内膜间质细胞12、24和48 h,逆转录聚合酶链反应(RT-PCR)和免疫印迹法(Western blotting)检测17β-E2处理前后子宫内膜间质细胞β-catenin mRNA和蛋白的表达水平。同法分析雌激素受体拮抗剂ICI182,780(10-6mol/L)对17β-E2促进β-catenin mRNA和蛋白表达的影响。免疫组织化学染色观察17β-E2作用后β-catenin在子宫内膜间质细胞中的定位。结果17β-E2能明显促进内异症患者在位子宫内膜间质细胞β-catenin mRNA和蛋白的表达,并呈剂量和时间依赖性,于10-10mol/L作用48 h最明显。雌激素受体拮抗剂ICI182,780能明显抑制17β-E2对子宫内膜间质细胞β-catenin mRNA和蛋白的表达。免疫组织化学染色发现17β-E2能促进β-catenin在子宫内膜间质细胞核内的表达。结论雌激素可能通过激活Wnt/β-catenin信号通路促进内异症在位子宫内膜的异位种植。     

Pathological variables determining the prognosis of non-Hodgkin''s lymphomas

The aim of the study was to assess the role of pathological grade, cell proliferation, ploidy, immunophenotype and site in determining the prognosis of non-Hodgkin's lymphomas. Of particular interest was the relative value of grades derived from the Kiel classification as opposed to the National Cancer Institute (NCI) working formulation. The study consisted of 181 cases, treated in a relatively uniform way over an 18-month period spanning 1986. Using life table analysis, both NCI working formulation grade and Kiel grade correlated strongly with survival. However, the differences between grades were entirely due to an excess of early deaths in the high-grade and intermediate-grade categories. In patients surviving greater than 0.1 years (37 days), phenotype, site, ploidy and cell proliferation had no effect on survival. There was no evidence that intermediate-grade tumours, when subdivided into Kiel low- and high-grade types, differed in survival from tumours graded as low- or high-grade by both methods. However, NCI working, formulation high-grade tumours, especially those with a high proliferation rate, formed a group with a very high likelihood of death within 0.1 years.     

Grading static versus dynamic images of contact lens complications

Background: This study was conducted to investigate grading performance when estimating the severity of static versus dynamic images of contact lens‐related ocular pathology. Methods: Thirty‐eight subjects used the Efron Grading Scales for Contact Lens Complications to grade the severity of ocular pathological changes depicted in static and dynamic (movie clip) computer‐displayed images of each of the following contact lens complications: bulbar conjunctival redness, limbal redness, papillary conjunctivitis, corneal staining, corneal infiltrates and meibomian gland dysfunction. The viewing of static and dynamic images was separated by seven weeks. Results: Grades assigned to dynamic images were 0.6 and 0.7 grading scale units higher than those assigned to static images for limbal redness and papillary conjunctivitis, respectively (p < 0.0001 for both). No difference was observed for the other four complications. There was an apparent trend for grading variability to be reduced (that is, observers grading in closer agreement) when grading dynamic versus static images. Conclusions: Absolute grades based on an assessment of signs of pathology represented in static images may, in some instances, underestimate the true severity of the condition.     

图像分析DNA含量对判断膀胱移行细胞癌分级和预后的意义

采用IBAS图像分析系统检测37例膀胱移行细胞癌病人的肿瘤细胞DNA含量，其中35例随访18个月至7年（平均5l个月），结果显示DNA含量和AN出现率增加与肿瘤的恶性程度有关（P＜0.01和P＜0.05）；肿瘤复发亦与非整倍体细胞（AN）出现率密切相关，AN出现率小于10％无复发，＜30％5例复发，＞30％9例复发。研究资料表明，图像分析技术测定细胞核的DNA含量对判断膀胱移行细胞癌病人的分级和预后有重要意义。     

近年火车创伤中关节损伤变化的特点

目的 探讨与分析快速列车所致火车创伤中关节损伤的变化特点。方法 集1997～2000年火车提速后10214例火车创伤中1279例关节损伤病例，分析在特定条件下的致伤因素、损伤严重程度、损伤类型特点，经AIS-ISS评分证实与预后的关系。结果 提速后关节损伤发生率由提速前33.54％上升到34.12％，死亡率由28.88％上升到30.33％，多关节离断伤由19.84％上升到34.13％，开放性关节损伤由31.71％上升到63.65％，关节离断伤的死亡率由21.19％上升到49.07％。结论 火车创伤无疑是十分严重的损伤，多发伤率远高于其他损伤，治疗棘手，多器官功能不全综合征(MODS)是致死的主要因素。