基于IDEAL-IQ序列精准定量腹部脂肪体积技术的临床应用

Clinical application of IDEAL-IQ sequence on accurately quantifying abdominal fat volume

目的研究基于IDEAL-IQ序列脂肪分量图精准定量腹部脂肪体积的临床应用价值。方法回顾性收集2018年5月至2020年9月深圳市宝安区中心医院行IDEAL-IQ序列检查82例患者的腰围、体重,序列所得脂肪分量像利用AW4.6后处理工作站Reformat功能处理,半自动提取患者L2、L3椎体水平内脏脂肪及皮下脂肪,二者相加得出相应层面腹部脂肪体积。结果82例患者年龄(40.4±10.9)岁,体重(74.9±9.5)kg,腰围(92.9±8.9)cm。L2椎体水平内脏脂肪体积(555.33±177.38)cm^(3)、皮下脂肪体积(497.59±207.53)cm^(3)、腹部脂肪体积(1052.91±305.81)cm^(3)。L3椎体水平内脏脂肪体积(552.50±184.39)cm^(3)、皮下脂肪体积(564.01±213.65)cm^(3)、腹部脂肪体积(1086.51±330.24)cm^(3)。L2、L3椎体水平腹部脂肪体积与体重中等相关(r=0.629,0.671,P<0.01)。L2、L3椎体水平腹部脂肪体积与腰围相关性较高(r=0.771,0.805,P<0.01)。结论IDEAL-IQ序列快捷、准确、无创、安全,辅以后处理功能,提供了一种半自动精准定量体内脂肪含量的技术,有望替代传统CT扫描成为临床对于体内脂肪含量及分布更佳的观察、随访方式。

ObjectiveTo study the value on clinical application using IDEAL-IQ sequence fat fraction to accurately quantifying abdominal fat volume.MethodsThe waistline and weight of 82 patients who underwent IDEAL-IQ sequence examination in Shenzhen Bao′an District Central Hospital from May 2018 to September 2020 were collected retrospectively.The fat fraction obtained from the sequence were processed by AW4.6 post-processing workstation Reformat function.The visceral fat and subcutaneous fat at L2 and L3 vertebral levels were extracted semi-automatically,and the sum of two was the corresponding abdominal fat volume.ResultsThe age,weight,waistline of 82 patients was(40.4±10.9)years old,(74.9±9.5)kg,(92.9±8.9)cm.The visceral fat volume at L2 vertebral level was(555.33±177.38)cm^(3),the volume of subcutaneous fat was(497.59±207.53)cm^(3),and the volume of abdominal fat was(1052.91±305.81)cm^(3).The volume of visceral fat at L3 vertebral level was(552.50±184.39)cm^(3),the volume of subcutaneous fat was(564.01±213.65)cm^(3),and the volume of abdominal fat was(1086.51±330.24)cm^(3).The abdominal fat volume at L2 and L3 level was moderately correlated with weight(r=0.629,0.671,P<0.01).There was a strong correlation between abdominal fat volume and waistline at L2 and L3 level(r=0.771,0.805,P<0.01).ConclusionIDEAL-IQ sequence equiped with post-processing function,which is fast accurate,noninvasive and safe,provides a semi-automatic technique to accurately quantify body fat content.It is expected to replace traditional CT scanning and become a better options for observation and follow-up for body fat content and distribution.