Ning Qiuping, Fan Tiebing, Tang Jinyang, Han Shuhua, Wang Wensheng, Ren Hua, Wang Haiyi, Ye Huiyi
Medical School of Chinese PLA, Beijing, China.
Department of Radiology, The First Medical Centre, Chinese PLA General Hospital, Beijing, China.
J Int Med Res. 2020 Jul;48(7):300060520931281. doi: 10.1177/0300060520931281.
Iterative decomposition of water and fat with echo asymmetry and least-squares estimation-iron quantification (IDEAL-IQ) is a noninvasive and objective method used to quantitatively measure fat content. Although this technique has been used in the entire abdomen, IDEAL-IQ findings in the sacroiliac joint (SIJ) have rarely been reported. This preclinical study was performed to quantify the amount of fat in the SIJ in healthy volunteers by IDEAL-IQ.
From April to November 2017, 60 healthy volunteers with low back pain were included in this retrospective study. The participants were allocated into groups by age (15-30, 31-50, and ≥51 years), sex (male and female), and body mass index (BMI) (<18.5, 18.5-23.9, and ≥24.0 kg/m). The iliac-side (Fi) and sacral-side (Fs) fat fractions were obtained in all groups. Two- and three-factor multivariate analyses were performed to analyze the effects of sex, age, and BMI on the Fi and Fs.
The interaction among sex, age, and BMI had no statistically significant effect on the dependent variable. Both Fi and Fs were significantly influenced by age. Fs was significantly influenced by sex.
The IDEAL-IQ sequence can be used to quantitatively assess the SIJ fat content in healthy volunteers.
采用具有回波不对称性和最小二乘估计的迭代水脂分解-铁定量法（IDEAL-IQ）是一种用于定量测量脂肪含量的无创客观方法。尽管该技术已应用于全腹部，但关于骶髂关节（SIJ）的IDEAL-IQ研究结果鲜有报道。本项临床前研究旨在通过IDEAL-IQ对健康志愿者骶髂关节内的脂肪量进行定量分析。
2017年4月至11月，60例患有腰痛的健康志愿者纳入本回顾性研究。参与者按年龄（15 - 30岁、31 - 50岁和≥51岁）、性别（男和女）以及体重指数（BMI）（<18.5、18.5 - 23.9和≥24.0 kg/m²）进行分组。获取所有组的髂骨侧（Fi）和骶骨侧（Fs）脂肪分数。进行双因素和三因素多变量分析，以分析性别、年龄和BMI对Fi和Fs的影响。
性别、年龄和BMI之间的交互作用对因变量无统计学显著影响。Fi和Fs均受年龄的显著影响。Fs受性别的显著影响。
IDEAL-IQ序列可用于定量评估健康志愿者骶髂关节的脂肪含量。
