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find Keyword "respiratory system" 3 results
  • Lymphoma manifested firstly as symptoms in respiratory system: nine cases report and literature review

    Objective To explore the clinical characteristics of patients with lymphoma firstly manifested as symptoms in respiratory system. Methods The clinical data of 9 patients with lymphoma were analyzed retrospectively and discussed with literature review. Results There were 7 males and 2 females with an average age of 48.2 years and a median disease course of 20 days. All patients were diagnosed by pathology while specimens were obtained by cervical lymph node biopsies in 2 cases, by CT-guided percutaneous lung biopsies in 2 cases, by bronchoscope mucosal biopsies in 2 cases, by transbronchial needle aspiration biopsies in 1 case, by thoracoscope lung biopsies in 1 case, and by ascites cell block inspection in 1 case. The main symptoms were cough (7/9), expectoration (3/9), fever (3/9) and wheeze (2/9). Chest CT showed tumors (3/9, multiple in 1 case), enlarged mediastinal lymph nodes (6/9), enlarged hilar lymph nodes (3/9), pulmonary consolidation (3/9), pleural effusion (6/9, bilateral in 3 cases), pleural thickening (2/9), pulmonary atelectasis (2/9), patchy shadow (7/9), pericardial effusion (1/9). Laboratory examination demonstrated elevated cancer antigen 125 (CA125) in 7 cases while elevated lactic acid dehydrogenase (LDH) in 4 cases. One patient died during hospitalization in the respiratory department, 1 patient auto-discharged without further treatment, 1 patient died in follow-up period. Five patients remain alive up to now. Conclusions The symptoms of patients with lymphoma are atypical while the chest radiological findings are varied. CA125 and LDH play important role in evaluating disease and predicting prognosis in patients with lymphoma.

    Release date:2017-04-01 08:56 Export PDF Favorites Scan
  • Progress in numerical simulation and experimental study on inhalable particles deposition in human respiratory system

    Inhalable particles deposition in the human respiratory system is the main cause of many respiratory and cardiovascular diseases. It plays an important role in related disease prevention and treatment through establishing computer or external entity models to study rules of particle deposition. The paper summarized and analyzed the present research results of various inhalable particle deposition models of upper respiratory tract and pulmonary area, and expounded the application in the areas of disease inducement analysis, drug inhale treatment etc. Based on the review, the paper puts forward the problems and application limitations of present research, especially pointing out future emphasis in development directions. It will have a value of reference guidance for further systematic and in-depth study on the inhalable particle deposition simulation, experiment and application.

    Release date:2017-08-21 04:00 Export PDF Favorites Scan
  • Simulation of spontaneous breathing for healthy adults using a nonlinear airway-segmented model of respiratory mechanics

    One-compartment lumped-parameter models of respiratory mechanics, representing the airflow resistance of the tracheobronchial tree with a linear or nonlinear resistor, are not able to describe the mechanical property of airways in different generations. Therefore, based on the anatomic structure of tracheobronchial tree and the mechanical property of airways in each generation, this study classified the human airways into three segments: the upper airway segment, the collapsible airway segment, and the small airway segment. Finally, a nonlinear, multi-compartment lumped-parameter model of respiratory mechanics with three airway segments was established. With the respiratory muscle effort as driving pressure, the model was used to simulate the tidal breathing of healthy adults. The results were consistent with the physiological data and the previously published results, suggesting that this model could be used for pathophysiological research of respiratory system.

    Release date:2019-02-18 03:16 Export PDF Favorites Scan
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