Share：
Share this content in WeChat
X
[Chinese][PDF]95870
• Original Article •
Effect of gadolinium on vertebral fat fraction content using IDEAL-IQ technique
LIN Yuan  ZHA Yun-fei  XING Dong  HU Lei  WANG Jiao  ZENG Fei-fei  LU Xue-song 

DOI:10.12015/issn.1674-8034.2016.11.012.


[Abstract] Objective: This study evaluates the robustness of a magnetic resonance (MR) fat quantification method to changes in R2* caused by an intravenous infusion of gadolinium.Materials and Methods: The R2* and fat fraction content (FF) were measured in vertebral marrow in eight New Zealand white rabbits using an investigational sequence (IDEAL IQ) provided by the MR scanner vendor. Measurements were made once before and twice after Gd-BOPTA infusion (5 min, 30 min). Then HE stain was performed for calculating vertebral fat content (FCHIS), Prussian blue stain was performed for showing iron in vertebral.Results: Vertebral marrow FF measurements revealed no significant systematic bias between the three measurements (P>0.05 for all). Good agreement (95% confidence interval) of FF measurements were demonstrated between FF0 min and FF5 min (0.90, 1.10) and FF0 min and FF30 min (0.94, 1.07). A significant positive correlation is found between FF0 min and FCHIS (r=0.813, P<0.05). R2* increased after administration of gadolinium.Conclusion: Although under the impact of an increased R2* in vertebral marrow post-contrast, the investigational sequence can still obtain accurate and stable fat fraction content. the IDEAL IQ method of fat quantification is robust to changes in R2*.
[Keywords] Bone marrow；Fats；Magnetic resonance imaging；Contrast media

LIN Yuan Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

ZHA Yun-fei* Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China; Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, Wuhan 430060, China

XING Dong Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

HU Lei Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

WANG Jiao Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

ZENG Fei-fei Department of Radiology, Renmin Hospital of Wuhan University, Wuhan 430060, China

LU Xue-song Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment, Wuhan 430060, China; Department of Biological Engineering, School of Biomedical Engineering, South-Central University for Nationalities, Wuhan 430060, China

*Correspondence to: Zha YF, E-mail: zhayunfei@hotmail.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This thesis is sponsored by the Opening Foundation of Hubei Key Laboratory of Medical Information Analysis and Tumor Diagnosis & Treatment No. PJS140011511 Scientific Research Funding Project of Hubei Provincial Department of Health No. JX6B68
Received  2016-09-26
Accepted  2016-10-20
DOI: 10.12015/issn.1674-8034.2016.11.012
DOI:10.12015/issn.1674-8034.2016.11.012.

[1]
Rosen CJ, Ackert-Bicknell C, Rodriguez JP, et al. Marrow fat and the bone microenvironment: developmental, functional, and pathological implications. Crit Rev Eukaryot Gene Expr, 2009, 19(2): 109-124.
[2]
Krings A, Rahman S, Huang S, et al. Bone marrow fat has brown adipose tissue characteristics, which are attenuated with aging and diabetes. Bone, 2012, 50(2): 546-552.
[3]
Shen W, Chen J, Gantz M, et al. MRI-measured pelvic bone marrow adipose tissue is inversely related to DXA-measured bone mineral in younger and older adults. Eur J Clin Nutr, 2012, 66(9): 983-988.
[4]
Tang A, Tan J, Sun M, et al. Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis. Radiology, 2013, 267(2): 422-431.
[5]
胡磊，查云飞，林苑,等. IDEAL-IQ定量评价兔糖尿病模型椎体骨髓脂肪含量的可行性研究.磁共振成像, 2015, 6(12): 941-946.
[6]
Idilman IS, Aniktar H, Idilman R, et al. Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy. Radiology, 2013, 267(3): 767-775.
[7]
Hawighorst H, Libicher M, Knopp MV, et al. Evaluation of angiogenesis and perfusion of bone marrow lesions: role of semiquantitative and quantitative dynamic MRI. J Magn Reson Imaging, 1999, 10(3): 286-294.
[8]
Bluemke DA, Petri M, Zerhouni EA. Femoral head perfusion and composition: MR imaging and spectroscopic evaluation of patients with systemic lupus erythematosus and at risk for avascular necrosis. Radiology, 1995, 197(2): 433-438.
[9]
Bollow M, Knauf W, Korfel A, et al. Initial experience with dynamic MR imaging in evaluation of normal bone marrow versus malignant bone marrow infiltrations in humans. J Magn Reson Imaging, 1997, 7(1): 241-250.
[10]
门卫伟，李娜，余家会,等.大分子钆磁共振对比剂代谢曲线的精确描绘.中国介入影像与治疗学, 2010, 7 (3): 320-324.
[11]
Dixon WT. Simple proton spectroscopic imaging. Radiology, 1984, 153(1): 189-194.
[12]
Ma J. Dixon techniques for water and fat imaging. J Magn Reson Imaging, 2008, 28(3): 543-558.
[13]
Yu H, Shimakawa A, Mckenzie CA, et al. Multiecho water-fat separation and simultaneous R2* estimation with multifrequency fat spectrum modeling. Magn Reson Med, 2008, 60(5): 1122-1134.
[14]
Ge M, Zhang J, Wu B, et al. Effect of gadolinium on hepatic fat quantification using multi-echo reconstruction technique with T2* correction and estimation. Eur Radiol, 2016, 26(6): 1913-1920.
[15]
Liau J, Shiehmorteza M, Girard O M, et al. Evaluation of MRI fat fraction in the liver and spine pre and post SPIO infusion. Magn Reson Imaging, 2013, 31(6): 1012-1016.
[16]
Hines CD, Yu H, Shimakawa A, et al. T1 independent, T2* corrected MRI with accurate spectral modeling for quantification of fat: validation in a fat-water-SPIO phantom. J Magn Reson Imaging, 2009, 30(5): 1215-1222.
[17]
Sehgal V, Delproposto Z, Haddar D, et al. Susceptibility-weighted imaging to visualize blood products and improve tumor contrast in the study of brain masses. J Magn Reson Imaging, 2006, 24(1): 41-51.
[18]
Meisamy S, Hines CD, Hamilton G, et al. Quantification of hepatic steatosis with T1-independent, T2-corrected MR imaging with spectral modeling of fat: blinded comparison with MR spectroscopy. Radiology, 2011, 258(3): 767-775.

PREV The diagnosis values of CT and MR imaging index for pelvic lymph node metastasis
NEXT A method of TMS coil positioning based on functional and structural MRI
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn