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.
Event-related desynchronization (ERD) is the basic feature of electroencephalogram (EEG), and the brain-computer interface based on motor imagery (MI-BCI) with the foundation of the analysis of ERD is of great significance in motor function recovery. The valid ERD characteristics extracted from EEG are the key to the performance of the BCI, so the study of which kind of stimulation mode can prompt subjects to generate more obvious characteristics of ERD is crucial. Four different stimulation modes are designed in this paper, and the effects of motion imagery tasks under static text stimulation, grip video stimulation, serial motion video stimulation of fingers as well as serial motion video stimulation of fingers with sound on the characteristics of ERD are analyzed. Combining the analysis of time-frequency spectrum, the power spectral density curve, ERD value and brain topographic map, it is shown that the ERD under serial motion video stimulation of fingers and serial motion video stimulation of fingers with sound modes is much stronger and has wider range of activation, and the BCI based on the analysis of ERD will have a better effect on practical application. As a result, the recognition and acceptance of the users of BCI system are improved in some extent.
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.
ObjectiveTo investigate the relationship between pulmonary ventilation function (obstructive and restrictive ventilation dysfunction) and atherosclerosis, and explore the correlation between brachial-ankle pulse wave velocity (ba-PWV, an effective index for evaluating atherosclerosis) and pulmonary ventilation function.MethodsFrom January to August 2018, a total of 6403 healthy subjects who reported no major chronic diseases such as stroke, myocardial infarction, cor pulmonale or malignant tumor were selected. Past history such as smoking history, hypertension, diabetes, blood biochemistry, and blood hypersensitive C reactive protein (hs-CRP), hemodynamic indexes such as systolic pressure, diastolic pressure and ba-PWV, body measurement indexes such as height, weight, waist circumference and pulmonary ventilation function were collected. The relationship between ba-PWV and pulmonary ventilation function were evaluated.ResultsA total of 2433 subjects were included, including 916 males and 1517 females. Ba-PWV showed significant positive correlations with age, smoking index, waist circumference, systolic blood pressure, diastolic blood pressure, triglyceride, cholesterol, low density lipoprotein, hs-CRP, glycosylated hemoglobin, and significant negative correlations with height, percentage of forced vital capacity (FVC) in the predicted value (FVC%pred), forced expiratory volume in one second (FEV1), percentage of FEV1 in the predicted value (FEV1%pred), FEV1/FVC ratio and percentage of maximun midexpiratory flow (MMEF) in the predicted value (MMEF%pred). The ba-PWV was not correlated with weight, body mass index, FVC, MMEF, γ-glutamyl transpeptidase, high density lipoprotein, creatinine or uric acid. In multiple regression analysis using factors other than ba-PWV and respiratory function as adjustment variables, both FVC%pred and FEV1%pred showed significant negative relationships with ba-PWV (P<0.05).ConclusionsThe results indicate that FEV1/FVC, an indicator of airflow limitation, is not a predictor of ba-PWV. However, since ba-PWV showed significant negative relationship with FVC%pred and FEV1%pred, clinically assessment of arterial stiffness might be considered in individuals with impaired pulmonary ventilation.
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.
