Unit of Geriatrics, Department of Medicine, Campus Bio Medico University and Teaching Hospital, Rome, Italy.
Unit of Measurements and Biomedical Instrumentation, Departmental Faculty of Engineering, Campus Bio Medico University, Rome, Italy.
Ultrasound Med Biol. 2020 Aug;46(8):1960-1967. doi: 10.1016/j.ultrasmedbio.2020.04.020. Epub 2020 Jun 1.
Computed tomography (CT) scanning is the gold standard when estimating pleural effusion volume; however, the procedure exposes patients to ionizing radiation. Our study was aimed at developing ultrasound-based calculation models that can quantify the volume of pleural effusion in seated patients and validating each model using volumetric chest CT analyses as reference. Our study enrolled 36 hospitalized patients who underwent a chest CT scan and ultrasound, in the seated position, with the aid of a convex probe. To estimate the volume of pleural effusions, we applied one linear and two multiplanar ultrasound-based equations using a CT reconstruction as reference. Testing these models in our validation set (n = 16), we determined that 0.42 was the R coefficient for the linear equation, and 0.97 and 0.98, respectively, were the R coefficients for the cylindrical-sector models, and observed that the latter had the lowest dispersion of data and an optimal intraclass correlation coefficient. We then concluded that multiplanar ultrasound-based equations are accurate and reliable in estimating pleural effusions and outperform previously developed equations.
计算机断层扫描（CT）是估计胸腔积液量的金标准；然而，该程序会使患者暴露在电离辐射下。我们的研究旨在开发基于超声的计算模型，以定量评估坐位患者胸腔积液量，并使用容积性胸部 CT 分析作为参考来验证每个模型。我们的研究纳入了 36 名住院患者，他们在坐位时接受了胸部 CT 扫描和超声检查，使用凸面探头辅助。为了估计胸腔积液量，我们使用了一个线性方程和两个基于多平面的超声方程，以 CT 重建作为参考。在我们的验证集（n=16）中对这些模型进行测试，我们确定线性方程的 R 系数为 0.42，圆柱扇形模型的 R 系数分别为 0.97 和 0.98，并且观察到后者的数据离散度最低，组内相关系数最佳。因此，我们得出结论，基于多平面超声的方程在估计胸腔积液方面是准确可靠的，并且优于以前开发的方程。
