Purpose To evaluate the value of imaging on the diagnosis and treatment of human-infected H10N8 virus. Materials and Methods The chest X-ray and CT features of one case of human infected H10N8 virus were retrospectively studied. Results A 73-year-old female patient was admitted to the third affiliated hospital of Nanchang University on November 30, 2013 due to cough, sputum for 3 days and fever for 1 day. The patient was diagnosed with severe pulmonary infection and underwent chest CT on December 1, which showed large opacities with air bronchograms were in the lower lobe of her right lung and ground-glass exudative lesions in the lower lobe of the left lung;the next 24 h, 48 h and 72 h review tracking chest X-ray showed the chest lesions developed rapidly which involved more lobes with more areas, integration of lesions and plenty of pleural effusion in a very short time. This was a typical white lung sign of acute respiratory distress syndrome. The patient died later on December 6, which was reported as the case of human-infected avian influenza (H10N8 virus) by Chinese Center for Disease Control and Prevention. Conclusion The chest imaging features found in human infected H10N8 virus present as progressive opacities and exudative lesions.

ABCDE bundle management is a comprehensive measure to prevent delirium in ICU patients and forms a standardized treatment model and process.This article summarizes the risk factors of delirium and the ABCDE bundle management in ICU patients and presents a reasonable and effective method to improve recognition of and also the ABCDE bundle management accuracy in ICU patients suffering from delirium,thus to reduce the incidence of delirium in ICU patients,reduce the suffering and improve the long-term survival of critically ill patients.

In animal experiments, ischemic stroke is usually induced through middle cerebral artery occlusion (MCAO), and quality assessment of this procedure is crucial. However, an accurate assessment method based on 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) is still lacking. The difficulty lies in the inconsistent preprocessing pipeline, biased intensity normalization, or unclear spatiotemporal uptake of FDG. Here, we propose an image feature-based protocol to assess the quality of the procedure using a 3D scale-invariant feature transform and support vector machine. This feature-based protocol provides a convenient, accurate, and reliable tool to assess the quality of the MCAO procedure in FDG PET studies. Compared with existing approaches, the proposed protocol is fully quantitative, objective, automatic, and bypasses the intensity normalization step. An online interface was constructed to check images and obtain assessment results.
Animals ; Fluorodeoxyglucose F18 ; Infarction, Middle Cerebral Artery/diagnostic imaging* ; Positron-Emission Tomography/methods*