TAILIEUCHUNG - Báo cáo y học: " Quantification of lung surface area using computed tomography"

Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học 'Respiratory Research cung cấp cho các bạn kiến thức về ngành y đề tài: Quantification of lung surface area using computed tomography. | RESPIRATORY RESEARCH Quantification of lung surface area using computed tomography Yuan et al. Yuan et al. Respiratory Research 2010 11 153 http content 11 1 153 31 October 2010 2 BioMed Central Yuan et al. Respiratory Research 2010 11 153 http content 11 1 153 RESEARCH RESPIRATORY RESEARCH Open Access Quantification of lung surface area using computed tomography 1 13 14 1 1 11 Ren Yuan Taishi Nagao Peter D Paré James C Hogg Don D Sin Mark W Elliott Leanna Loy Li Xing Steven E Kalloger1 John C English5 John R Mayo2 Harvey O Coxson1 2 Abstract Objective To refine the CT prediction of emphysema by comparing histology and CT for specific regions of lung. To incorporate both regional lung density measured by CT and cluster analysis of low attenuation areas for comparison with histological measurement of surface area per unit lung volume. Methods The histological surface area per unit lung volume was estimated for 140 samples taken from resected lung specimens of fourteen subjects. The region of the lung sampled for histology was located on the preoperative CT scan the regional CT median lung density and emphysematous lesion size were calculated using the X-ray attenuation values and a low attenuation cluster analysis. Linear mixed models were used to examine the relationships between histological surface area per unit lung volume and CT measures. Results The median CT lung density low attenuation cluster analysis and the combination of both were important predictors of surface area per unit lung volume measured by histology p . Akaike s information criterion showed the model incorporating both parameters provided the most accurate prediction of emphysema. Conclusion Combining CT measures of lung density and emphysematous lesion size provides a more accurate estimate of lung surface area per unit lung volume than either measure alone. Background The major pathological components responsible for the decrease in

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