【摘要】 目的多层螺旋CT与Pulmo软件联合使用估算正常人群肺体积。方法使用Emotion 16层螺旋CT和Pulmo软件对45例正常人群胸部进行扫描,使用工作站中的测量工具测量左右肺的上下径、肺尖下1 cm层面、主动脉弓层面、隆突下层面、膈顶层面的最大前后径、最大左右径及肺体积。采用SPSS 20.0对正常肺体积与各测量参数进行回归分析,并选取最佳模型。结果左、右侧正常肺体积之间的最佳曲线方程拟合优度是0.981,正常左、右肺体积与肺上下径和肺膈顶层面最大左右径的乘积之间的最佳曲线方程拟合优度分别是0.977、0.972。另外选取15例对以上3个模型进行回代检验,推算的肺体积与Pulmo软件测量的肺体积之间差异无统计意义。结论通过研究所得曲线方程可估算出创伤前的正常肺体积,并结合压缩后肺体积计算出肺压缩百分比,为肺压缩程度的鉴定提供参考。更多还原

【Abstract】 Objective To estimate lung volume in normal population by a combination of multi-slice spiral CT and Pulmo software. Methods Scans of the lung were performed on 45 normal individuals using Emotion 16-slice spiral CT and Pulmo software. A measurement instrument of work station was used to measure the vertical diameter of left and right lungs, the maximum anteroposterior and transverse diameters at the layers of apex pulmonis 1 cm below, arcus aortae, subcarinal and diaphragmatic dome, and the lung volume. Regression analysis was performed on normal lung volume and each measured parameter by SPSS 20.0 and an optimal model was selected. Results The goodness of fit between the best curvilinear equations of the normal bilateral lung volumes was 0.981. The goodness of fit between the curvilinear equations of the normal bilateral lung volume and the product of the vertical diameter and the maximum transverse diameter of diaphragmatic dome were 0.977 and 0.972, respectively. Fifteen cases were selected to make a retrospective test on the 3 models. No significant difference was found between the estimated and measured with Pulmo software lung volumes. Conclusion The normal lung volume before injury can be estimated by the curvilinear equations established in this study. The percentage of lung compression can be measured based on the volume of compressed lung, which can provide a reference for the identification of lung compression degree.更多还原