The normal reference values and estimation formulae of renal structural parameters in Chinese children based on large-sample CT data

作者全名："Qin, Yong; Liu, En; Ni, Xiaoying; Huang, Zhongxin; Tian, Lu; He, Xiaoya; Cai, Jinhua; Li, Qiu"

作者地址："[Qin, Yong; Ni, Xiaoying; Huang, Zhongxin; Tian, Lu; He, Xiaoya; Cai, Jinhua] Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Childrens Hosp,Chongqing Key Lab Pediat, Minist Educ,Key Lab Child Dev & Disorders,Dept Rad, Chongqing, Peoples R China; [Liu, En] Army Med Univ, Affiliated Hosp 2, Dept Gastroenterol, Chongqing, Peoples R China; [Li, Qiu] Childrens Hosp Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Chongqing Key Lab Pediat, Dept Nephrol,Minist Educ,Key Lab Child Dev & Disor, Chongqing, Peoples R China"

通信作者："Cai, JH (通讯作者)，Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Childrens Hosp,Chongqing Key Lab Pediat, Minist Educ,Key Lab Child Dev & Disorders,Dept Rad, Chongqing, Peoples R China.; Li, Q (通讯作者)，Childrens Hosp Chongqing Med Univ, Natl Clin Res Ctr Child Hlth & Disorders, Chongqing Key Lab Pediat, Dept Nephrol,Minist Educ,Key Lab Child Dev & Disor, Chongqing, Peoples R China."

来源：FRONTIERS IN PEDIATRICS

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001039790400001

JCR分区：Q2

影响因子：2.1

年份：2023

卷号：11

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：kidney; structural parameter; CT; reference value; children; Chinese

摘要："PurposeOur aim was to investigate the normal reference value and to establish an estimation formulae for renal structural parameters (RSPs) based on large-sample CT data of Chinese children, which can provide a data reference for the clinical assessment of kidney development and diseases in Chinese children. Materials and MethodsA total of 438 children aged 0-17 years with normal renal CT images and basic indices were continuously collected. The bilateral RSP, including renal length (RL), renal width (RW), renal thickness (RT), renal volume (RV), renal cortical thickness (RCT), renal artery diameter (RAD) and renal CT value, were measured. Kendall's rank correlation was used to analyze the correlation between RSP and sex. Pearson's correlation was used to analyze the correlation between RSP and age, height and weight. Differences in the RSP of bilateral kidneys were analyzed via a paired samples t-test. Multiple linear regression was used to analyze the multivariate relationships between RSP and basic indices and establish the estimation formula of RSP. ResultsThe RSP of normal kidneys showed a dynamic increasing trend with age, except for the CT values. The reference value ranges (95% confidence interval) of normal RSP for each age group were determined. Pearson correlation analysis demonstrated strong correlations between RSP (RL, RW, RT, RV, RCT and, RAD) and basic indices (age, height and, weight), with height exhibiting the greatest correlation coefficient, followed by age or weight. Kendall's analysis showed that none of the RSPs were correlated with sex. The RL, RW, RV and RAD of the left kidney were larger than those of the right kidney, and the RT and RCT of the right kidney exhibited opposite results. Multiple linear regression analysis demonstrated a significant linear relationship between the RSP (RL, RW, RT, RV and, RCT) and the variables of the basic indices. The estimation formulae for calculating the RSP were established. ConclusionThis is the first Chinese study to report of the trends, normal reference values and estimation formulae of normal RSP based on large-sample CT data. These results can provide data references for assessing adequate kidney growth or disease damage in Chinese children."

基金机构：Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) [2021MSXM059]; Natural Science Foundation of Chongqing [cstc2020jcyj-msxmX0235]

基金资助正文：This work was supported by the Chongqing medical scientific research project (Joint project of Chongqing Health Commission and Science and Technology Bureau) (No.2021MSXM059) and The Natural Science Foundation of Chongqing (No.cstc2020jcyj-msxmX0235).