Ma Guangyu, Chen Yingmao, Shao Mingzhe, Tian Jiahe, Xu Baixuan
Department of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Medicine (Baltimore). 2019 Mar;98(12):e14916. doi: 10.1097/MD.0000000000014916.
This study was performed to develop a new formula to estimate the renal and isthmus depth in horseshoe kidney, and to compare the new formula with previously published formulas.Renal depth, isthmus depth, vertebral thickness, and total thickness (T, cm) of the body at the level of the kidneys were measured by CT in 124 adults. Their sex, age, height (H, cm), and weight (W, kg) were recorded. Multiple stepwise linear regression analysis was conducted. The 124 cases were divided into 2 random groups, of which the first group was used to derive a regressive formula and the second group was used to verify the formula and compare the formula with previously published formulas.Multiple stepwise linear regression analysis showed that the important variables in estimating the depth of each kidney were the body weight (W, kg) and the total thickness (T, cm) of the body at the level of the kidneys. The important variables in estimating the depth of isthmus soft tissue and vertebral thickness were W, T, and age, W. The new formula was the following: right renal depth (cm) = 0.273 × T + 0.043 × W + 1.086 (r = 0.82, P < .05; standardized regressive coefficient: T = 0.500, W = 0.367), left renal depth (cm) = 0.245 × T + 0.041 × W + 0.676 (r = 0.83, P < .05; standardized regressive coefficient: T = 0.520, W = 0.353); isthmus depth (cm) = soft tissue depth + vertebral thickness, soft tissue depth (cm) = 0.144 × T + 0.044 × W + 0.536 (r = 0.58, P < .05; standardized regressive coefficient: T = 0.272, W = 0.335), vertebral thickness (cm) = 0.012 × age + 0.018 × W + 3.683 (r = 0.53, P < .05; standardized regressive coefficient: age = 0.326, W = 0.438). It is much better than the literatures.The new renal depth estimation formula in horseshoe kidney that we derived by using multiple stepwise linear regression has greatly outperformed other 6 previously published formulas. Isthmus depth estimation formula can also get accurate results. Our new formula provides a more reliable and accurate renal and isthmus depth estimation and contributes to improving the methods used to estimate renal function from radionuclide renography in horseshoe kidney.
本研究旨在开发一种新的公式来估算马蹄肾的肾深度和峡部深度，并将新公式与先前发表的公式进行比较。对124名成年人进行CT测量，获取肾深度、峡部深度、椎体厚度以及肾脏水平处身体的总厚度（T，cm）。记录他们的性别、年龄、身高（H，cm）和体重（W，kg）。进行多元逐步线性回归分析。将124例病例随机分为两组，第一组用于推导回归公式，第二组用于验证公式并将其与先前发表的公式进行比较。多元逐步线性回归分析表明，估算每个肾脏深度的重要变量是体重（W，kg）和肾脏水平处身体的总厚度（T，cm）。估算峡部软组织深度和椎体厚度的重要变量是W、T和年龄W。新公式如下：右肾深度（cm） = 0.273×T + 0.043×W + 1.086（r = 0.82，P <.05；标准化回归系数：T = 0.500，W = 0.367），左肾深度（cm） = 0.245×T + 0.041×W + 0.676（r = 0.83，P <.05；标准化回归系数：T = 0.520，W = 0.353）；峡部深度（cm） = 软组织深度 + 椎体厚度，软组织深度（cm） = 0.144×T + 0.044×W + 0.536（r = 0.58，P <.05；标准化回归系数：T = 0.272，W = 0.335），椎体厚度（cm） = 0.012×年龄 + 0.018×W + 3.683（r = 0.53，P <.05；标准化回归系数：年龄 = 0.326，W = 0.438）。它比文献中的公式要好得多。我们通过多元逐步线性回归推导的马蹄肾新肾深度估算公式大大优于先前发表的其他6个公式。峡部深度估算公式也能得到准确结果。我们的新公式提供了更可靠、准确的肾深度和峡部深度估算，有助于改进马蹄肾放射性核素肾图估算肾功能的方法。
