Korean Journal of Radiology

The Korean Society of Radiology (대한영상의학회)
권호 표지
DOI QR코드

DOI QR Code

Experimental Evaluation of Accelerated T1rho Relaxation Quantification in Human Liver Using Limited Spin-Lock Times

  • Zhao, Feng (Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital) ;
  • Deng, Min (Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital) ;
  • Yuan, Jing (Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital) ;
  • Teng, Gao-Jun (Department of Radiology, Zhongda Hospital, Southeast University) ;
  • Ahuja, Anil T. (Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital) ;
  • Wang, Yi-Xiang J. (Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Prince of Wales Hospital)
  • Published : 2012.12.01
⟨ Previous Next ⟩

Abstract

Objective: It was reported lately that to obtain consistent liver T1rho measurement, at 3T MRI using six spin-lock times (SLTs), is feasible. In this study, the feasibility of using three or two SLT points to measure liver T1rho relaxation time was explored. Materials and Methods: Seventeen healthy volunteers underwent 36 examinations. Three representative axial slices were selected to cut through the upper, middle, and lower liver. A rotary echo spin-lock pulse was implemented in a 2D fast field echo sequence. Spin-lock frequency was 500 Hz and the spin-lock times of 1, 10, 20, 30, 40, and 50 milliseconds (ms) were used for T1rho mapping. T1rho maps were constructed by using all 6 SLT points, three SLT points of 1, 20, and 50 ms, or two SLTs of 1 and 50 ms, respectively. Intra-class correlation coefficient (ICC) and Bland and Altman plot were used to assess the measurement agreement. Results: Two examinations were excluded, due to motion artifact at the SLT of 50 ms. With the remaining 34 examinations, the ICC for 6-SLT vs. 3-SLT T1rho measurements was 0.922, while the ICC for 6-SLT vs. 2-SLT T1rho measurement was 0.756. The Bland and Altman analysis showed a mean difference of 0.19 (95% limits of agreement: -1.34, 1.73) for 6-SLT vs. 3-SLT T1rho measurement, and the mean difference of 0.89 (95% limits of agreement: -1.67, 3.45) for 6-SLT vs. 2-SLT T1rho measurement. The scan re-scan reproducibility ICC (n = 11 subjects) was 0.755, 0.727, and 0.528 for 6-SLT measurement, 3-SLT measurement, and 2-SLT measurement, respectively. Conclusion: Adopting 3 SLTs of 1, 20, and 50 ms can be an acceptable alternative for the liver T1rho measurement, while 2 SLTs of 1 and 50 ms do not provide reliable measurement.

Keywords

References

  1. Afdhal NH, Nunes D. Evaluation of liver fibrosis: a concise review. Am J Gastroenterol 2004;99:1160-1174 https://doi.org/10.1111/j.1572-0241.2004.30110.x
  2. Blumenkrantz G, Zuo J, Li X, Kornak J, Link TM, Majumdar S. In vivo 3.0-tesla magnetic resonance T1rho and T2 relaxation mapping in subjects with intervertebral disc degeneration and clinical symptoms. Magn Reson Med 2010;63:1193-1200 https://doi.org/10.1002/mrm.22362
  3. Borthakur A, Sochor M, Davatzikos C, Trojanowski JQ, Clark CM. T1rho MRI of Alzheimer's disease. Neuroimage 2008;41:1199-1205 https://doi.org/10.1016/j.neuroimage.2008.03.030
  4. Pakin SK, Xu J, Schweitzer ME, Regatte RR. Rapid 3D-T1rho mapping of the knee joint at 3.0T with parallel imaging. Magn Reson Med 2006;56:563-571 https://doi.org/10.1002/mrm.20982
  5. Santyr GE, Henkelman RM, Bronskill MJ. Spin locking for magnetic resonance imaging with application to human breast. Magn Reson Med 1989;12:25-37 https://doi.org/10.1002/mrm.1910120104
  6. Virta A, Komu M, Lundbom N, Jaaskelainen S, Kalimo H, Airio A, et al. Low field T1rho imaging of myositis. Magn Reson Imaging 1998;16:385-391 https://doi.org/10.1016/S0730-725X(98)00004-6
  7. Lamminen AE, Tanttu JI, Sepponen RE, Pihko H, Korhola OA. T1 rho dispersion imaging of diseased muscle tissue. Br J Radiol 1993;66:783-787 https://doi.org/10.1259/0007-1285-66-789-783
  8. Wang YX, Yuan J, Chu ES, Go MY, Huang H, Ahuja AT, et al. T1rho MR imaging is sensitive to evaluate liver fibrosis: an experimental study in a rat biliary duct ligation model. Radiology 2011;259:712-719 https://doi.org/10.1148/radiol.11101638
  9. Sirlin CB. Science to practice: can T1rho imaging be used to diagnose and assess the severity of hepatic fibrosis? Radiology 2011;259:619-620 https://doi.org/10.1148/radiol.11110547
  10. Zhao F, Wang YX, Yuan J, Deng M, Wong HL, Chu ES, et al. MR $T1{\rho}$ as an imaging biomarker for monitoring liver injury progression and regression: an experimental study in rats with carbon tetrachloride intoxication. Eur Radiol 2012;22:1709-1716 https://doi.org/10.1007/s00330-012-2419-0
  11. Deng M, Zhao F, Yuan J, Ahuja AT, Wang YX. Liver MR $T1{\rho}$ measurement in healthy human subjects at 3 T: a preliminary study with a two-dimensional fast-field echo sequence. Br J Radiol 2012;85:e590-e595 https://doi.org/10.1259/bjr/98745548
  12. Charagundla SR, Borthakur A, Leigh JS, Reddy R. Artifacts in T(1rho)-weighted imaging: correction with a self-compensating spin-locking pulse. J Magn Reson 2003;162:113-121 https://doi.org/10.1016/S1090-7807(02)00197-0
  13. Li X, Han ET, Busse RF, Majumdar S. In vivo T(1rho) mapping in cartilage using 3D magnetization-prepared angle-modulated partitioned k-space spoiled gradient echo snapshots (3D MAPSS). Magn Reson Med 2008;59:298-307 https://doi.org/10.1002/mrm.21414
  14. Fleiss JL. Reliability of measurement. The design and analysis of clinical experiments. New York: John Wiley & Sons, 1986
  15. Santyr GE, Fairbanks EJ, Kelcz F, Sorenson JA. Off-resonance spin locking for MR imaging. Magn Reson Med 1994;32:43-51 https://doi.org/10.1002/mrm.1910320107
  16. Fleysher R, Fleysher L, Gonen O. The optimal MR acquisition strategy for exponential decay constants estimation. Magn Reson Imaging 2008;26:433-435 https://doi.org/10.1016/j.mri.2007.08.014
  17. Cheon JE, Kim IO, Seo JK, Ko JS, Lee JM, Shin CI, et al. Clinical application of liver MR imaging in Wilson's disease. Korean J Radiol 2010;11:665-672 https://doi.org/10.3348/kjr.2010.11.6.665
  18. Faria SC, Ganesan K, Mwangi I, Shiehmorteza M, Viamonte B, Mazhar S, et al. MR imaging of liver fibrosis: current state of the art. Radiographics 2009;29:1615-1635 https://doi.org/10.1148/rg.296095512
  19. Shim JH, Yu JS, Chung JJ, Kim JH, Kim KW. Segmental difference of the hepatic fibrosis from chronic viral hepatitis due to hepatitis B versus C virus infection: comparison using dual contrast material-enhanced MRI. Korean J Radiol 2011;12:431-438 https://doi.org/10.3348/kjr.2011.12.4.431
  20. Talwalkar JA, Yin M, Fidler JL, Sanderson SO, Kamath PS, Ehman RL. Magnetic resonance imaging of hepatic fibrosis: emerging clinical applications. Hepatology 2008;47:332-342
  21. Luciani A, Vignaud A, Cavet M, Nhieu JT, Mallat A, Ruel L, et al. Liver cirrhosis: intravoxel incoherent motion MR imaging--pilot study. Radiology 2008;249:891-899 https://doi.org/10.1148/radiol.2493080080
  22. Wang YX. Medical imaging in pharmaceutical clinical trials: what radiologists should know. Clin Radiol 2005;60:1051-1057 https://doi.org/10.1016/j.crad.2005.04.016

Cited by

  1. Evaluation of fibrotic liver disease with whole-liver T1ρ MR imaging: a feasibility study at 1.5 T. vol.271, pp.2, 2012, https://doi.org/10.1148/radiol.13130342
  2. Precision‐guided sampling schedules for efficient T1ρ mapping vol.41, pp.1, 2012, https://doi.org/10.1002/jmri.24518
  3. PANDA‐T1ρ: Integrating principal component analysis and dictionary learning for fast T1ρ mapping vol.73, pp.1, 2015, https://doi.org/10.1002/mrm.25130
  4. T1ρ MRI of human musculoskeletal system vol.41, pp.3, 2015, https://doi.org/10.1002/jmri.24677
  5. Chemical exchange saturation transfer (CEST) MR technique for in-vivo liver imaging at 3.0 tesla vol.26, pp.6, 2012, https://doi.org/10.1007/s00330-015-3972-0
  6. T1ρ relaxation time in brain regions increases with ageing: an experimental MRI observation in rats vol.89, pp.1057, 2012, https://doi.org/10.1259/bjr.20140704
  7. Accelerated T1ρ acquisition for knee cartilage quantification using compressed sensing and data‐driven parallel imaging: A feasibility study vol.75, pp.3, 2012, https://doi.org/10.1002/mrm.25702
  8. Assessment of liver fibrosis in rats by MRI with apparent diffusion coefficient and T1 relaxation time in the rotating frame vol.43, pp.5, 2012, https://doi.org/10.1002/jmri.25084
  9. Myocardial T1rho mapping of patients with end‐stage renal disease and its comparison with T1 mapping and T2 mapping: A feasibility and reproducibility study vol.44, pp.3, 2012, https://doi.org/10.1002/jmri.25188
  10. Liver Fibrosis Quantification by Magnetic Resonance Imaging vol.26, pp.6, 2012, https://doi.org/10.1097/rmr.0000000000000149
  11. Selection and Reporting of Statistical Methods to Assess Reliability of a Diagnostic Test: Conformity to Recommended Methods in a Peer-Reviewed Journal vol.18, pp.6, 2017, https://doi.org/10.3348/kjr.2017.18.6.888
  12. Impact of Liver Fibrosis and Fatty Liver on T1rho Measurements: A Prospective Study vol.18, pp.6, 2012, https://doi.org/10.3348/kjr.2017.18.6.898
  13. Multiparametric or practical quantitative liver MRI: towards millisecond, fat fraction, kilopascal and function era vol.11, pp.2, 2017, https://doi.org/10.1080/17474124.2017.1271710
  14. Respiratory motion prediction and prospective correction for free-breathing arterial spin-labeled perfusion MRI of the kidneys vol.44, pp.3, 2017, https://doi.org/10.1002/mp.12099
  15. Liver fibrosis: Review of current imaging and MRI quantification techniques vol.45, pp.5, 2012, https://doi.org/10.1002/jmri.25550
  16. Breath-hold black-blood T1rho mapping improves liver T1rho quantification in healthy volunteers vol.59, pp.3, 2018, https://doi.org/10.1177/0284185117717764
  17. Age- and Gender-Associated Liver Physiological T1rho Dynamics Demonstrated with a Clinically Applicable Single-Breathhold Acquisition vol.23, pp.2, 2012, https://doi.org/10.1177/2472630317747198
  18. Optimizing T1rho and T2 Values for Intervertebral Discs Obtained from the Combined T1rho and T2 Sequence vol.50, pp.8, 2012, https://doi.org/10.1007/s00723-019-01123-x
  19. Volumetric multicomponent T1ρ relaxation mapping of the human liver under free breathing at 3T vol.83, pp.6, 2020, https://doi.org/10.1002/mrm.28061