ObjectiveTo observe the relationship between the serum level changes of high-sensitivity C-reactive protein (hsCRP), interleukin (IL)-18, intercellular adhesion molecule-1(ICAM1), matrix metalloproteinase (MMP)-9 and lipoprotein-associated phospholipase A2(Lp-PLA2), and the multiple factors of acute cerebral infarction (ACI). MethodsWe chose 76 patients with ACI treated between July 2012 and June 2014 as our study subjects.On the second day (acute phase) and the 15th day (recovery phase) after onset, we checked the patients for their serum levels of hsCRP, IL-18, ICAM1, MMP-9 and Lp-PLA2.Then, multiple linear regression analysis was performed to observe the correlation of the serum level change degree of inflammatory factors with hypertension, diabetes, coronary heart disease, smoking history, carotid atherosclerotic plaque, lipid levels, infarct size and National Institute of Health Stroke Scale (NIHSS) score. ResultsThe changes of all the inflammatory factors in the acute phase and the recovery phase of cerebral infarction were not significantly related to smoking history, hypertension, coronary heart disease, low-density lipoprotein and NIHSS scores (P > 0.05).The changes of hsCRP and ICAM1 had significant correlation with cerebral infarct size, diabetes mellitus and carotid atherosclerotic plaque (P < 0.05), and the change level of Lp-PLA2 was related to diabetes mellitus, and carotid atherosclerotic plaque (P < 0.05).MMP-9 serum level change had correlation with only cerebral infarct size (P < 0.05). ConclusionsSerum level changes of inflammatory factors are related to various factors of cerebral infarction.The main factors that affecting the serum level changes are cerebral infarction area, diabetes mellitus and carotid atherosclerosis.
ObjectiveTo investigate the clinical value of artificial intelligence (AI)-assisted chest computed tomography (CT) in the diagnosis of peripheral lung shadow. MethodsThe CT image data of 810 patients with peripheral pulmonary shadow treated by thoracic surgery in Tianjin Chest Hospital Affiliated to Tianjin University from January 2018 to July 2019 were retrospectively analyzed using AI-assisted chest CT imaging diagnosis system. There were 339 males and 471 females with a median age of 63 years. The malignant probability of preoperative AI-assisted diagnosis of peripheral pulmonary shadow was compared with the results of postoperative pathology. ResultsThe pathological diagnosis of 810 patients with peripheral pulmonary shadow was lung cancer in 627 (77.4%) patients, precancerous lesion in 30 (3.7%) patients and benign lesion in 153 (18.9%) patients. The median probability of malignant AI diagnosis before operation was 86.0% (lung cancer), 90.0% (precancerous lesion) and 37.0% (benign lesion), respectively. According to the analysis of receiver operating characteristic (ROC) curve of AI malignant probability distribution in this group of patients, the area under the ROC curve was 0.882. The critical value of malignant probability for diagnosis of lung cancer was 75.0% with a sensitivity of 0.856 and specificity of 0.814. A total of 571 patients were diagnosed with AI malignancy probability≥75.0%, among whom 537 patients were pathologically diagnosed as lung cancer with a positive predictive value of 94.0% (537/571). ConclusionThe AI-assisted chest CT diagnosis system has a high accuracy in the diagnosis of peripheral lung cancer with malignant probability≥75.0% as the diagnostic threshold.
The coronary artery disease is a frequent severe disease of cardiovascular system in recent years. Meanwhile, lung cancer, with its high morbidity and mortality, is the most frequent malignant tumor of respiratory system in the world. Clinical studies have shown that the incidence of coronary artery disease and lung cancer is high throughout the year, and comorbidities are becoming more common, especially in elderly patients. The incidence of lung cancer and coronary heart disease may be related. This article summarizes the common risk factors (smoking and environmental pollution, fibrinogen, estrogen, and age), and treatment (surgical treatment, neoadjuvant therapy, and targeted therapy) progress of the two diseases, providing a theoretical basis for clinical prevention and treatment.