DOI QR코드

DOI QR Code

Application of Synthetic MRI for Direct Measurement of Magnetic Resonance Relaxation Time and Tumor Volume at Multiple Time Points after Contrast Administration: Preliminary Results in Patients with Brain Metastasis

  • Kang, Koung Mi (Department of Radiology, Seoul National University Hospital) ;
  • Choi, Seung Hong (Department of Radiology, Seoul National University Hospital) ;
  • Hwang, Moonjung (General Electronics (GE) Healthcare Korea) ;
  • Yoo, Roh-Eul (Department of Radiology, Seoul National University Hospital) ;
  • Yun, Tae Jin (Department of Radiology, Seoul National University Hospital) ;
  • Kim, Ji-hoon (Department of Radiology, Seoul National University Hospital) ;
  • Sohn, Chul-Ho (Department of Radiology, Seoul National University Hospital)
  • 투고 : 2017.11.16
  • 심사 : 2018.01.19
  • 발행 : 2018.08.01

초록

Objective: The purpose of this study was to investigate the time-dependent effects of contrast medium on multi-dynamic, multi-echo (MDME) sequence in patients with brain metastases. Materials and Methods: This study included 7 patients with 15 brain metastases who underwent magnetic resonance (MR) examination which included MDME sequences at 1 minute, 10 minutes and 20 minutes after contrast injection. Two volumes of interests, covering an entire tumor (whole tumor) and the enhancing portion of the tumor, were derived from post-contrast synthetic T1-weighted images. Statistical comparisons were performed for three different time delays for histogram parameters of the longitudinal relaxation rate ($R_1$) and the transverse relaxation rate ($R_2$), and lesion volumes. Results: The mean and the median of $R_1$ and the mean of $R_2$ in both the whole tumor and the inner enhancing portion were larger on the 10 minutes delayed images than on the 1 minute or 20 minutes delayed images (mean of $R_1$ in the whole tumor on the 1 minute, 10 minutes, and 20 minutes delayed images: 1.26 ms, 1.39 ms, and 1.37 ms; mean of $R_1$ in the inner enhancing portion: 1.43 ms, 1.53 ms and 1.44 ms; all p < 0.017). The volumes of the whole tumor and the inner enhancing portion were significantly larger in the 10 minutes and 20 minutes delayed images than on the 1 minute delayed images (all p < 0.017). Conclusion: Magnetic resonance relaxation times and the volumes of the whole tumor and the inner enhancing portion were measured larger on the 10 minutes or 20 minutes delayed images than on the 1 minute delayed images. The MDME sequence immediately after contrast injection cannot fully reflect the effects of gadolinium-based contrast agent leakage in the tissue.

키워드

과제정보

연구 과제 주관 기관 : Ministry for Health, Welfare & Family Affairs, National Research Foundation of Korea (NRF), Seoul National University (SNU)

참고문헌

  1. Warntjes JB, Dahlqvist O, Lundberg P. Novel method for rapid, simultaneous T1, T2*, and proton density quantification. Magn Reson Med 2007;57:528-537 https://doi.org/10.1002/mrm.21165
  2. Warntjes JB, Leinhard OD, West J, Lundberg P. Rapid magnetic resonance quantification on the brain: optimization for clinical usage. Magn Reson Med 2008;60:320-329 https://doi.org/10.1002/mrm.21635
  3. Riederer SJ, Suddarth SA, Bobman SA, Lee JN, Wang HZ, MacFall JR. Automated MR image synthesis: feasibility studies. Radiology 1984;153:203-206 https://doi.org/10.1148/radiology.153.1.6089265
  4. Bobman SA, Riederer SJ, Lee JN, Suddarth SA, Wang HZ, Drayer BP, et al. Cerebral magnetic resonance image synthesis. AJNR Am J Neuroradiol 1985;6:265-269
  5. Krauss W, Gunnarsson M, Andersson T, Thunberg P. Accuracy and reproducibility of a quantitative magnetic resonance imaging method for concurrent measurements of tissue relaxation times and proton density. Magn Reson Imaging 2015;33:584-591 https://doi.org/10.1016/j.mri.2015.02.013
  6. Vagberg M, Ambarki K, Lindqvist T, Birgander R, Svenningsson A. Brain parenchymal fraction in an age-stratified healthy population - determined by MRI using manual segmentation and three automated segmentation methods. J Neuroradiol 2016;43:384-391 https://doi.org/10.1016/j.neurad.2016.08.002
  7. Blystad I, Warntjes JB, Smedby O, Landtblom AM, Lundberg P, Larsson EM. Synthetic MRI of the brain in a clinical setting. Acta Radiol 2012;53:1158-1163 https://doi.org/10.1258/ar.2012.120195
  8. Ambarki K, Lindqvist T, Wahlin A, Petterson E, Warntjes MJ, Birgander R, et al. Evaluation of automatic measurement of the intracranial volume based on quantitative MR imaging. AJNR Am J Neuroradiol 2012;33:1951-1956 https://doi.org/10.3174/ajnr.A3067
  9. Warntjes JB, Engstrom M, Tisell A, Lundberg P. Brain characterization using normalized quantitative magnetic resonance imaging. PLoS One 2013;8:e70864 https://doi.org/10.1371/journal.pone.0070864
  10. West J, Aalto A, Tisell A, Leinhard OD, Landtblom AM, Smedby O, et al. Normal appearing and diffusely abnormal white matter in patients with multiple sclerosis assessed with quantitative MR. PLoS One 2014;9:e95161 https://doi.org/10.1371/journal.pone.0095161
  11. Hagiwara A, Hori M, Suzuki M, Andica C, Nakazawa M, Tsuruta K, et al. Contrast-enhanced synthetic MRI for the detection of brain metastases. Acta Radiol Open 2016;5:2058460115626757
  12. Essig M, Weber MA, von Tengg-Kobligk H, Knopp MV, Yuh WT, Giesel FL. Contrast-enhanced magnetic resonance imaging of central nervous system tumors: agents, mechanisms, and applications. Top Magn Reson Imaging 2006;17:89-106 https://doi.org/10.1097/01.rmr.0000245464.36148.dc
  13. Healy ME, Hesselink JR, Press GA, Middleton MS. Increased detection of intracranial metastases with intravenous Gd-DTPA. Radiology 1987;165:619-624 https://doi.org/10.1148/radiology.165.3.3317496
  14. Uysal E, Erturk SM, Yildirim H, Seleker F, Basak M. Sensitivity of immediate and delayed gadolinium-enhanced MRI after injection of 0.5 M and 1.0 M gadolinium chelates for detecting multiple sclerosis lesions. AJR Am J Roentgenol 2007;188:697-702 https://doi.org/10.2214/AJR.05.2212
  15. Jeon JY, Choi JW, Roh HG, Moon WJ. Effect of imaging time in the magnetic resonance detection of intracerebral metastases using single dose gadobutrol. Korean J Radiol 2014;15:145-150 https://doi.org/10.3348/kjr.2014.15.1.145
  16. Bae MS, Jahng GH, Ryu CW, Kim EJ. A systematically designed study to investigate the effects of contrast medium on diffusion tensor MRI. J Neuroradiol 2011;38:214-222 https://doi.org/10.1016/j.neurad.2010.11.004
  17. Bernasconi A, Bernasconi N, Caramanos Z, Reutens DC, Andermann F, Dubeau F, et al. T2 relaxometry can lateralize mesial temporal lobe epilepsy in patients with normal MRI. Neuroimage 2000;12:739-746 https://doi.org/10.1006/nimg.2000.0724
  18. Hasan KM, Walimuni IS, Abid H, Wolinsky JS, Narayana PA. Multi-modal quantitative MRI investigation of brain tissue neurodegeneration in multiple sclerosis. J Magn Reson Imaging 2012;35:1300-1311 https://doi.org/10.1002/jmri.23539
  19. Neema M, Stankiewicz J, Arora A, Dandamudi VS, Batt CE, Guss ZD, et al. T1- and T2-based MRI measures of diffuse gray matter and white matter damage in patients with multiple sclerosis. J Neuroimaging 2007;17 Suppl 1:16S-21S https://doi.org/10.1111/j.1552-6569.2007.00131.x
  20. Mamere AE, Saraiva LA, Matos AL, Carneiro AA, Santos AC. Evaluation of delayed neuronal and axonal damage secondary to moderate and severe traumatic brain injury using quantitative MR imaging techniques. AJNR Am J Neuroradiol 2009;30:947-952 https://doi.org/10.3174/ajnr.A1477
  21. Waldman AD. Magnetic resonance imaging of brain tumorstime to quantify. Discov Med 2010;9:7-12
  22. Cheng HL, Stikov N, Ghugre NR, Wright GA. Practical medical applications of quantitative MR relaxometry. J Magn Reson Imaging 2012;36:805-824 https://doi.org/10.1002/jmri.23718
  23. Hojrup S, Jensen FT, Hokland S, Simonsen C, Christensen T, Frokiærb J, et al. Interobserver and within-subject variances of T2-relaxation time and 1H-metabolite ratios in the normal hippocampus. J Neuroradiol 2007;34:198-204 https://doi.org/10.1016/j.neurad.2007.05.001
  24. Warntjes JB, Tisell A, Landtblom AM, Lundberg P. Effects of gadolinium contrast agent administration on automatic brain tissue classification of patients with multiple sclerosis. AJNR Am J Neuroradiol 2014;35:1330-1336 https://doi.org/10.3174/ajnr.A3890
  25. Yoshida K, Furuse M, Kaneoke Y, Saso K, Inao S, Motegi Y, et al. Assessment of T1 time course changes and tissue-blood ratios after Gd-DTPA administration in brain tumors. Magn Reson Imaging 1989;7:9-15 https://doi.org/10.1016/0730-725X(89)90319-6
  26. Just N. Histogram analysis of the microvasculature of intracerebral human and murine glioma xenografts. Magn Reson Med 2011;65:778-789 https://doi.org/10.1002/mrm.22675
  27. Baek HJ, Kim HS, Kim N, Choi YJ, Kim YJ. Percent change of perfusion skewness and kurtosis: a potential imaging biomarker for early treatment response in patients with newly diagnosed glioblastomas. Radiology 2012;264:834-843 https://doi.org/10.1148/radiol.12112120
  28. Downey K, Riches SF, Morgan VA, Giles SL, Attygalle AD, Ind TE, et al. Relationship between imaging biomarkers of stage I cervical cancer and poor-prognosis histologic features: quantitative histogram analysis of diffusion-weighted MR images. AJR Am J Roentgenol 2013;200:314-320 https://doi.org/10.2214/AJR.12.9545
  29. Woo S, Cho JY, Kim SY, Kim SH. Histogram analysis of apparent diffusion coefficient map of diffusion-weighted MRI in endometrial cancer: a preliminary correlation study with histological grade. Acta Radiol 2014;55:1270-1277 https://doi.org/10.1177/0284185113514967

피인용 문헌

  1. Quantitative synthetic MRI for evaluation of the lumbar intervertebral disk degeneration in patients with chronic low back pain vol.124, pp.None, 2018, https://doi.org/10.1016/j.ejrad.2020.108858