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Seven autopsied cases were studied for the evaluation of individual history of exposure to environmental contaminants based on the elemental profile of hilar gland by PIXE and lung tissue by AAS. The results well characterized their occupational history, especially from Cr, Al, Si and As detection. Moreover, it might be possible that these analyses would provide data to suspect the chemical form of each element in deposited particles of lung parenchyma, since the solubility could reflect the different profile of element between hilar gland and lung parenchyma. In addition to these retrospective analyses using the materials obtained from autopsies, it is possible to assess the individual risk using small quantity of hilar gland or lung tissue obtained by biopsy or surgical resection.
Sepsis is associated with the highest risk of progression to acute lung injury or acute respiratory distress syndrome. Shen-Fu has been advocated to treat many severely ill patients. Our study was designed to investigate the effect of Shen-Fu on endotoxin-induced acute lung injury in vivo. Adult male Wistar rats were randomly divided into 6 groups: controls; those challenged with endotoxin (5 mg/kg) and treated with saline; those challenged with endotoxin (5 mg/kg) and treated with Shen-Fu (1 mg/kg); those challenged with endotoxin (5 mg/kg) and treated with Shen-Fu (10 mg/kg); increase challenged with endotoxin (5 mg/kg) and treated with Shen-Fu (100 mg/kg); saline injected and treated with Shen-Fu (100 mg/kg). TNF-α, IL-6, and NF-kappa B were investigated in the lung two hours later. Myeloperoxidase (MPO) activity and wet/dry weight ratio were investigated six hours later. Intravenous administration of endotoxin provoked significant lung injury, which was characterized by increment increase of MPO activity and wet/dry lung weight ratio, and TNF-α and IL-6 expression and NF-kappa B activation. Shen-Fu (10,100 mg/kg) decreased MPO activity and wet/dry weight ratio and inhibited TNF-α and IL-6 production, endotoxin-induced NF-kappa B activation. Our results indicated that Shen-Fu at a dose of higher than 10 mg/kg inhibited endotoxin-induced pulmonary inflammation in vivo.
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Accurate and automated lung segmentation in high-resolution computed tomography (HRCT) is highly challenged by the presence of pathologies affecting lung parenchyma appearance and borders.
The algorithm presented employs an anatomical model-driven approach and systematic incremental knowledge acquisition to produce coarse lung delineation, used as initialization for the graph-cut algorithm. The proposed method is evaluated on a 49 HRCT cases dataset including various lung disease patterns. The accuracy of the method is assessed using dice similarity coefficient (DSC) and shape differentiation metrics (dmean, drms), by comparing the outputs of automatic lung segmentations and manual ones.
The proposed automatic method demonstrates high segmentation accuracy (DSC = 96.64%, dmean = 1.75 mm, drms = 3.27 mm) with low variation that depends on the lung disease pattern. It also presents good improvement over the initial lung segmentation (ΔDSC = 4.74%, Δdmean = -3.67 mm, Δdrms = -6.25 mm), including impressive amelioration (maximum values of ΔDSC = 58.22% and Δdmean = -78.66 mm) when the anatomy-driven algorithm reaches its limit.
Segmentation evaluation shows that the method can accurately segment lungs even in the presence of disease patterns, with some limitations in the apices and bases of lungs. Therefore, the developed automatic segmentation method is a good candidate for the first stage of a computer-aided diagnosis system for diffuse lung diseases.
Understanding alveolar mechanics is important for preventing the possible lung injuries during mechanical ventilation. Alveolar clusters with smaller size are found having lower compliance in two-dimensional studies. But the influence of alveolar shape on compliance is unclear. In order to investigate how alveolar morphology affects their behavior, we tracked subpleural alveoli of isolated mouse lungs during quasi-static ventilation using two- and three-dimensional imaging techniques. Results showed that alveolar clusters with smaller size and more spherical shape had lower compliance. There was a better correlation of sphericity rather than circularity with alveolar compliance. The compliance of clusters with great shape change was larger than that with relatively slight shape change. These findings suggest the contribution of lung heterogeneous expansion to lung injuries associated with mechanical ventilation.