Value of three-dimensional volume-rendering CT pulmonary contusion volume measurement in prediction of ARDS development
10.3760/cma.j.issn.1001-8050.2014.03.018
- VernacularTitle:三维CT容积再现技术行肺挫伤容积测定预测ARDS的价值
- Author:
Shaohua WANG
;
Wenyong ZHOU
;
Mingchuan ZHAO
;
Hui ZHANG
;
Xiaofeng CHEN
- Publication Type:Journal Article
- Keywords:
Lung injury;
Imaging,three-dimensional;
Forecasting
- From:
Chinese Journal of Trauma
2014;30(3):255-259
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the value of three-dimensional CT volume rendering in predicting ARDS following pulmonary contusion and identifying high-risk patients.Methods Seventy-one cases of pulmonary contusion (AIS ＞ 2 points) confirmed by chest CT during an emergency admission between July 2010 and June 2011 were enrolled.Using computer-generated three-dimensional reconstruction,contusion volume was measured and expressed as a percentage of total lung volume.The admission data,such as blood gas analysis results,systolic arterial pressure,hematocrit,AIS,ISS,and injury distribution,were prospectively collected.Independent predictive factors of ARDS following pulmonary contusion was identified using logistic regression analysis and further estimation on accuracy and value of the predictors were performed.Influence of contusion volume percentage on clinical outcomes was detected.Results Of all,mean contusion volume percentage was (22.07 ± 14.50)％ (range,5.60％-61.00％),which was not strongly correlated to the admission PaO2/FiO2 ratio (R2 =0.059).ARDS and infection were diagnosed in 31 cases and 25 cases respectively.PaO2/FiO2 ratio and contusion volume percentage were independent predictive factors of ARDS after pulmonary contusion.The best cut-off of contusion percentage in predicting ARDS development was 21.5％ with a specificity of 80.0％,sensitivity of 71.0％,positive predictive value of 73.3％,and negative predictive value of 78.1％.Conclusion Three-dimensional CT volume rendering technique allows quantification of pulmonary contusion and identification of patients at high risk of ARDS,to whom further treatment may be directed.
