目的 调查临床护士对静脉输液治疗相关知识的知晓度，分析存在的问题，以便有针对性地进行专业指导和培训。 方法 2011年8月，自制静脉输液治疗相关知识知晓度的调查问卷，利用护士参加医院集体培训的机会对158名临床护士进行问卷调查。 结果 ① 70.3%的护士静脉输液治疗知识主要来源于医院培训，护士对静脉输液治疗知识的内涵认识欠全面。② 44.2%护士对留置针的规范化固定及冲、封管方法了解不充分，仅约1/3的护士了解留置针A-C-L维护法，规范维护管理知识掌握不充分。③ 护士对静脉输液常见并发症认识欠深入，认为常见并发症发生的主要原因与患者的血管有关（静脉炎占78.5%，渗出占83.5%，导管堵塞占81.0%）。④ 9%的护士发生针刺伤后不能正确处理，护士对针刺伤原因认识清晰，处理方法还需加强培训。 结论 临床护士对静脉输液治疗相关知识的掌握欠全面性、系统性和专业性，需要对护士采取多种形式、多种途径的专业指导和培训，才能使临床护士全面掌握静脉输液治疗相关知识，促进静脉输液治疗规范化和专业化，有效保障护理质量和安全。
A method was proposed to detect pulmonary nodules in low-dose computed tomography (CT) images by two-dimensional convolutional neural network under the condition of fine image preprocessing. Firstly, CT image preprocessing was carried out by image clipping, normalization and other algorithms. Then the positive samples were expanded to balance the number of positive and negative samples in convolutional neural network. Finally, the model with the best performance was obtained by training two-dimensional convolutional neural network and constantly optimizing network parameters. The model was evaluated in Lung Nodule Analysis 2016(LUNA16) dataset by means of five-fold cross validation, and each group's average model experiment results were obtained with the final accuracy of 92.3%, sensitivity of 92.1% and specificity of 92.6%.Compared with other existing automatic detection and classification methods for pulmonary nodules, all indexes were improved. Subsequently, the model perturbation experiment was carried out on this basis. The experimental results showed that the model is stable and has certain anti-interference ability, which could effectively identify pulmonary nodules and provide auxiliary diagnostic advice for early screening of lung cancer.
Lung cancer is the most threatening tumor disease to human health. Early detection is crucial to improve the survival rate and recovery rate of lung cancer patients. Existing methods use the two-dimensional multi-view framework to learn lung nodules features and simply integrate multi-view features to achieve the classification of benign and malignant lung nodules. However, these methods suffer from the problems of not capturing the spatial features effectively and ignoring the variability of multi-views. Therefore, this paper proposes a three-dimensional (3D) multi-view convolutional neural network (MVCNN) framework. To further solve the problem of different views in the multi-view model, a 3D multi-view squeeze-and-excitation convolution neural network (MVSECNN) model is constructed by introducing the squeeze-and-excitation (SE) module in the feature fusion stage. Finally, statistical methods are used to analyze model predictions and doctor annotations. In the independent test set, the classification accuracy and sensitivity of the model were 96.04% and 98.59% respectively, which were higher than other state-of-the-art methods. The consistency score between the predictions of the model and the pathological diagnosis results was 0.948, which is significantly higher than that between the doctor annotations and the pathological diagnosis results. The methods presented in this paper can effectively learn the spatial heterogeneity of lung nodules and solve the problem of multi-view differences. At the same time, the classification of benign and malignant lung nodules can be achieved, which is of great significance for assisting doctors in clinical diagnosis.
Objective To evaluate the efficacy and safety of traditional Chinese medicine (TCM) in treating Chronic Rhinosinusitis (CRS) after Functional Endoscopic Sinus Surgery (FESS). Methods The following databases and periodicals such as PubMed (Jan. 1980 to Jan. 2009), MEDLINE (1980 to 2009), EBSCOhost (Jan. 1975 to Jan. 2009), CALIS (1984 to 2009), CNKI (1979 to 2007), VIP (1989 to 2009), CBM (1978 to 2009); Chinese Journal of Otorhinolaryngology Head and Neck Surgery (1990 to 2008), Journal of Clinical Otorhinolaryngology Head and Neck Surgery (1988 to 2008), Otorhinolaryngology Head and Neck Surgery (1990 to 2008), and Chinese Journal of Otorhinolaryngology of Integrated Traditional and Western Medicine (1996 to 2008) were searched by computer and handwork for randomized controlled trials (RCTs) about TCM to treat CRS after ESS. The trial screening, quality assessment, and the data extraction of the included trials were conducted before performing statistical analyses by using RevMan 4.2.10 software. Results A total of 32 RCTs in three sub-groups in Chinese literatures were identified with meta-analyses in comparisons of the cure rate (OR=1.99, 95%CI 1.78 to 2.23), total effective rate (OR=2.66, 95%CI 2.20 to 3.22), degree I postoperative improvement rate (OR=2.22, 95%CI 1.60 to 3.06), total postoperative improvement rate (OR=8.77, 95%CI 1.09 to 70.64), postoperative clean time (OR=2.54, 95%CI 1.70 to 3.79), postoperative epithelization time (OR= –29.46, 95%CI –37.73 to –21.18), and mucociliary transport rate (OR=1.14, 95%CI 0.22 to 2.06). A total of 4 RCTs were meta-analyzed to evaluate the safety in comparisons of gastrointestinal reaction (OR=0.25, 95%CI 0.00 to 33.78) and local reaction (OR=0.03, 95%CI 0.01 to 0.12). Conclusion The current evidence shows TCM in treating CRS after ESS tends to improve the clinical efficacy and reduce the cure time without obvious adverse reaction. Due to the low methodological quality of included trials, more RCTs with high quality and large scale are required.