切换至 "中华医学电子期刊资源库"

中华消化病与影像杂志(电子版) ›› 2022, Vol. 12 ›› Issue (05) : 265 -269. doi: 10.3877/cma.j.issn.2095-2015.2022.05.003

论著

基于IDEAL-IQ序列精准定量腹部脂肪体积技术的临床应用
李思聪1, 黄泽弟1, 张岸洲1, 曾雯1, 张雪峰1,()   
  1. 1. 518102 广东省,深圳市宝安区中心医院放射科
  • 收稿日期:2022-04-16 出版日期:2022-10-01
  • 通信作者: 张雪峰
  • 基金资助:
    深圳市宝安区科技计划基础研究项目(医疗卫生类)(20210507112116001)

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

Sicong Li1, Zedi Huang1, Anzhou Zhang1, Wen Zeng1, Xuefeng Zhang1,()   

  1. 1. Department of Radiology, Shenzhen Bao′an District Central Hospital, Shenzhen 518102, China
  • Received:2022-04-16 Published:2022-10-01
  • Corresponding author: Xuefeng Zhang
引用本文:

李思聪, 黄泽弟, 张岸洲, 曾雯, 张雪峰. 基于IDEAL-IQ序列精准定量腹部脂肪体积技术的临床应用[J]. 中华消化病与影像杂志(电子版), 2022, 12(05): 265-269.

Sicong Li, Zedi Huang, Anzhou Zhang, Wen Zeng, Xuefeng Zhang. Clinical application of IDEAL-IQ sequence on accurately quantifying abdominal fat volume[J]. Chinese Journal of Digestion and Medical Imageology(Electronic Edition), 2022, 12(05): 265-269.

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)cm3、皮下脂肪体积(497.59±207.53)cm3、腹部脂肪体积(1052.91±305.81)cm3。L3椎体水平内脏脂肪体积(552.50±184.39)cm3、皮下脂肪体积(564.01±213.65)cm3、腹部脂肪体积(1086.51±330.24)cm3。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。

Objective

To study the value on clinical application using IDEAL-IQ sequence fat fraction to accurately quantifying abdominal fat volume.

Methods

The 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.

Results

The 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)cm3, the volume of subcutaneous fat was (497.59±207.53)cm3, and the volume of abdominal fat was (1052.91±305.81)cm3. The volume of visceral fat at L3 vertebral level was (552.50±184.39)cm3, the volume of subcutaneous fat was (564.01±213.65)cm3, and the volume of abdominal fat was (1086. 51±330.24)cm3. 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).

Conclusion

IDEAL-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.

图1 腹部脂肪提取示意图注:1A:在FIEAST定位图上分别选取L2椎体层面及L3椎体层面;1B: L2椎体水平内脏脂肪,黄色区域,黄线勾边;1C: L2椎体水平皮下脂肪,橙色区域,绿线勾边;1D:VR图可直观显示二者分布差异
图2 体重与L2、L3椎体水平腹部脂肪体积散点图
图3 腰围与L2、L3椎体水平脂肪体积散点图
表1 样本基线资料(n=82)
1
Ibrahim MM.Subcutaneous and visceral adipose tissue:structural and functional differences [J].Obes Rev201011(1):11-18.
2
Reeder SB, Pineda AR, Wen Z, et al.Iterative decomposition of water and fat with echo asymmetry and least-squares estimation(IDEAL):application with fast spin-echo imaging [J].Magn Reson Med200554(3):636-644.
3
Reeder SB, Wen Z, Yu H, et al.Multicoil Dixon chemical species separation with an iterative least-squares estimation method [J].Magn Reson Med200451(1):35-45.
4
Dong Z, Luo Y, Zhang Z, et al.MR quantification of total liver fat in patients with impaired glucose tolerance and healthy subjects [J].PLoS One20149(10):e111283.
5
Hines CD, Frydrychowicz A, Hamilton G, et al.T(1)independent,T(2)(*)corrected chemical shift based fat-water separation with multi-peak fat spectral modeling is an accurate and precise measure of hepatic steatosis [J].JMRI201133(4):873-881.
6
Chiang HJ, Lin LH, Li CW, et al.Magnetic resonance fat quantification in living donor liver transplantation [J].Transplant Proceed201446(3):666-668.
7
Idilman IS, Tuzun A, Savas B, et al.Quantification of liver,pancreas,kidney,and vertebral body MRI-PDFF in non-alcoholic fatty liver disease [J].Abdom Imag201540(6):1512-1519.
8
Idilman I S, Gumruk F, Haliloglu M, et al.The Feasibility of Magnetic Resonance Imaging for Quantification of Liver,Pancreas,Spleen,Vertebral Bone Marrow,and Renal Cortex R2* and Proton Density Fat Fraction in Transfusion-Related Iron Overload [J].Turk J Haematol201633(1):21-27.
9
Dixon T.Simple proton spectroscopic imaging [J].Radiology1984153(1):189-194.
10
Jeon KJ, Lee C, Choi YJ, et al.Assessment of bone marrow fat fractions in the mandibular condyle head using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation(IDEAL-IQ)method [J].PLoS One202116(2):e0246596.
11
Yang H, Cui X, Zheng X, et al.Preliminary quantitative analysis of vertebral microenvironment changes in type 2 diabetes mellitus using FOCUS IVIM-DWI and IDEAL-IQ sequences [J].Magn Reson Med202184(1):84-91.
12
康静,查云飞,李亮,等.基于IDEAL-IQ序列MR纹理分析评价慢性腰痛患者椎旁脂肪浸润[J].磁共振成像202112(10):6-11.
13
刘琼,肖新华.皮下脂肪组织与内脏脂肪组织[J].国际病理科学与临床杂志201333(6):544-547.
14
Qiu Y, Deng X, Sha Y, et al.Visceral Fat Area,Not Subcutaneous Fat Area,is Associated with Cardiac Hemodynamics in Type 2 Diabetes [J].Diabetes Metab Syndr Obes202013:4413-4422.
15
Xiong Y, Yu Y, Jiang H, et al.Visceral Fat Area Is a Better Predictor Than Coronary Artery Calcification Score for Cardiovascular Outcomes and All-Cause Death in Patients on Hemodialysis [J].J Ren Nutr202131(3):306-312.
16
Feng H, Wang X, Zhao T, et al.Myopenic obesity determined by visceral fat area strongly predicts long-term mortality in cirrhosis [J].Clin Nutr202140(4):1983-1989.
17
Shi J, Bao G, Hong J, et al.Deciphering CT texture features of human visceral fat to evaluate metabolic disorders and surgery-induced weight loss effects [J].EBio Medicine202169:103471.
18
Yoshizumi T, Nakamura T, Yamane M, et al.Abdominal fat:standardized technique for measurement at CT [J].Radiology1999211(1):283-286.
19
Shen W, Punyanitya M, Wang Z, et al.Visceral adipose tissue:relations between single-slice areas and total volume [J].Am J Clin Nutr200480(2):271-278.
20
黄泽弟,李思聪,张岸洲,等.基于磁共振成像的非酒精性脂肪肝患者上腹部脂肪体积与身体质量指数的相关性研究[J].磁共振成像202112(7):80-83.
[1] 师帅, 吴云桦, 马文星, 胥博愈, 陈昕, 秦豪原, 刘思达, 王泽正, 张金, 段降龙. 腹部内脏脂肪面积对直肠癌手术预后评估价值的研究[J]. 中华普通外科学文献(电子版), 2023, 17(01): 34-39.
[2] 张红敏, 吴锦林, 张兴渝, 杨媚. 利拉鲁肽联合二甲双胍对2型糖尿病合并肥胖患者胰岛β细胞功能以及内脏脂肪水平的影响[J]. 中华细胞与干细胞杂志(电子版), 2019, 09(03): 144-148.
[3] 刘玉苓, 王婷婷, 吴高峰, 俞淑静. 健康体检人群内脏脂肪面积与新型炎症标志物的相关性研究[J]. 中华肥胖与代谢病电子杂志, 2023, 09(03): 197-202.
[4] 王慧卿, 李银玉, 张继敏, 黄正丽, 孙喜明, 薛少青, 焦爱富, 赵慧媛, 尉杰忠. 血清adipsin及皮下脂肪面积与早期糖尿病肾病的相关性分析[J]. 中华肥胖与代谢病电子杂志, 2022, 08(04): 256-262.
[5] 赵磊, 吕晗, 刘洋, 李梦伊, 孙婧, 刘佳, 赵鹏飞, 杨正汉, 张鹏, 张忠涛, 王振常. 减重代谢手术患者腹部脂肪分布与阻塞性睡眠呼吸暂停的相关性研究[J]. 中华肥胖与代谢病电子杂志, 2021, 07(01): 13-18.
[6] 郑汝群, 陈小燕, 李标达, 黄才浩, 鲁可, 陈珠妮, 叶润杰, 谭雅丹, 高子晴, 颜建华. 不同BMI患者内脏脂肪差异性分析[J]. 中华肥胖与代谢病电子杂志, 2020, 06(04): 237-242.
[7] 宫祎慧, 闫彩凤. 肥胖患者脂肪分布和代谢与骨质疏松症关系的研究进展[J]. 中华肥胖与代谢病电子杂志, 2020, 06(01): 55-57.
[8] 陈永光, 黄家喜, 马孟杰, 莫旭凯, 林铭霞, 梁建业, 张冬, 史长征. IDEAL-IQ序列对不同程度肥胖患者内脏脂肪的定量研究[J]. 中华肥胖与代谢病电子杂志, 2020, 06(01): 10-15.
阅读次数
全文


摘要