Effect of PRESS and STEAM Sequences on Magnetic Resonance Spectroscopic Liver Fat Quantification

被引:174
|
作者
Hamilton, Gavin [1 ]
Middleton, Michael S. [1 ]
Bydder, Mark [1 ]
Yokoo, Takeshi [1 ]
Schwimmer, Jeffrey B. [2 ]
Kono, Yuko [3 ]
Patton, Heather M. [3 ]
Lavine, Joel E. [2 ]
Sirlin, Claude B. [1 ]
机构
[1] Univ Calif San Diego, Dept Radiol, San Diego, CA 92103 USA
[2] Univ Calif San Diego, Div Gastroenterol Hepatol & Nutr, Dept Pediat, San Diego, CA 92103 USA
[3] Univ Calif San Diego, Dept Med, San Diego, CA 92103 USA
关键词
liver fat quantification; magnetic resonance spectroscopy; PRESS; STEAM; IN-VIVO; PROTON SPECTROSCOPY; QUANTITATIVE-ANALYSIS; INSULIN-RESISTANCE; STIMULATED ECHOES; H-1; SPECTROSCOPY; MR SPECTROSCOPY; BRAIN MOTION; TRIGLYCERIDE; METABOLITES;
D O I
10.1002/jmri.21809
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To compare PRESS and STEAM MR spectroscopy for assessment of liver fat in human subjects. Materials and Methods: Single-voxel (20 x 20 x 20 mm) PRESS and STEAM spectra were obtained at 1.5T in 49 human subjects with known or suspected fatty liver disease. PRESS and STEAM sequences were obtained with fixed TR (1500 msec) and different TE (five PRESS spectra between TE 30-70 msec, five STEAM spectra between TE 20-60 msec). Spectra were quantified and T2 and T2-corrected peak area were calculated by different techniques. The values were compared for PRESS and STEAM. Results: Water T2 values from PRESS and STEAM were not significantly different (P = 0.33). Fat peak T2s were 25%-50% shorter on PRESS than on STEAM (P < 0.02 for all comparisons) and there was no correlation between T2s of individual peaks. PRESS systematically overestimated the relative fat peak areas (by 7%-263%) compared to STEAM (P < 0.005 for all comparisons). The peak area given by PRESS was more dependent on the T2-correction technique than STEAM. Conclusion: Measured liver fat depends on the MRS sequence used. Compared to STEAM, PRESS underestimates T2 values of fat, overestimates fat fraction, and provides a less consistent fat fraction estimate, probably due to J coupling effects.
引用
收藏
页码:145 / 152
页数:8
相关论文
共 50 条
  • [41] Liver fat content determined by magnetic resonance imaging and spectroscopy
    Fabian Springer
    Jürgen Machann
    Claus D Claussen
    Fritz Schick
    Nina F Schwenzer
    World Journal of Gastroenterology, 2010, 16 (13) : 1560 - 1566
  • [42] Spatio-spectral regularization to improve magnetic resonance spectroscopic imaging quantification
    Laruelo, Andrea
    Chaari, Lotfi
    Tourneret, Jean-Yves
    Batatia, Hadj
    Ken, Soleakhena
    Rowland, Ben
    Ferrand, Regis
    Laprie, Anne
    NMR IN BIOMEDICINE, 2016, 29 (07) : 918 - 931
  • [43] Fast quantification of proton magnetic resonance spectroscopic imaging with artificial neural networks
    Bhat, Himanshu
    Sajja, Balasrinivasa Rao
    Narayana, Ponnada A.
    JOURNAL OF MAGNETIC RESONANCE, 2006, 183 (01) : 110 - 122
  • [44] Evaluation of iATT liver fat quantification for steatosis grading with reference to magnetic resonance imaging-based proton density fat fraction: a multicenter study
    Hirooka, Masashi
    Ogawa, Sadanobu
    Koizumi, Yohei
    Yoshida, Yuichi
    Goto, Tatsuya
    Yasuda, Satoshi
    Yamahira, Masahiro
    Tamai, Tsutomu
    Kuromatsu, Ryoko
    Matsuzaki, Toshihisa
    Suehiro, Tomoyuki
    Kamada, Yoshihiro
    Sumida, Yoshio
    Hiasa, Yoichi
    Toyoda, Hidenori
    Kumada, Takashi
    JOURNAL OF HEPATOLOGY, 2024, 80 : S512 - S512
  • [45] Quantification of Abdominal Fat Compartments by Magnetic Resonance Imaging (MRI) in Asian Neonates
    Tint, M. T.
    Izzudin, M. A.
    Soh, S. E.
    Saw, S. M.
    Kwek, K.
    Chong, Y. S.
    Gluckman, P. D.
    Godfrey, K. M.
    Chinnadurai, A.
    Rajadurai, V. S.
    Agarwal, P.
    Yap, F.
    Shuter, B.
    Lee, Y. S.
    Fortier, M. V.
    JOURNAL OF DEVELOPMENTAL ORIGINS OF HEALTH AND DISEASE, 2011, 2 : S144 - S144
  • [46] Deep learning-based quantification of abdominal fat on magnetic resonance images
    Grainger, Andrew T.
    Tustison, Nicholas J.
    Qing, Kun
    Roy, Rene
    Berr, Stuart S.
    Shi, Weibin
    PLOS ONE, 2018, 13 (09):
  • [47] Rapid total body fat measurement by magnetic resonance imaging: Quantification and topography
    Vogt, F. M.
    Ruehm, S.
    Hunold, P.
    de Greiff, A.
    Nuefer, M.
    Barkhausen, J.
    Ladd, S. C.
    ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2007, 179 (05): : 480 - 486
  • [48] Direct in vivo Quantification of Intraplaque Hemorrhage and Fat in Atherosclerosis by Magnetic Resonance Imaging
    Koppel, Sandeep
    Warntjes, Marcel
    Swann, Jeremy
    Dyverfeldt, Petter
    Kihlberg, Johan
    Moreno, Rodrigo
    Magee, Derek
    Roberts, Nicholas
    Treanor, Darren
    de Muinck, Ebo D.
    CIRCULATION, 2014, 130
  • [49] Tissue fat quantification by magnetic resonance imaging: proton density fat fraction in polycystic ovary syndrome
    Oguz, Seda Hanife
    Idilman, Ilkay
    Helvaci, Nafiye
    Guzelce, Ezgi Caliskan
    Eyupoglu, Damla
    Karcaaltincaba, Musturay
    Yildiz, Bulent O.
    REPRODUCTIVE BIOMEDICINE ONLINE, 2020, 41 (02) : 329 - 334
  • [50] Magnetic resonance imaging of the liver with ultrashort TE (UTE) pulse sequences
    Chappell, KE
    Patel, N
    Gatehouse, PD
    Main, J
    Puri, BK
    Taylor-Robinson, SD
    Bydder, GM
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2003, 18 (06) : 709 - 713