과제정보
This study was supported by a grant from the Korea Healthcare technology R&D Projects, Ministry for Health, Welfare & Family Affairs (HI16C1111), by the Brain Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2016M3C7A1914002), by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (NRF-2020R1A2C2008949 and NRF-2020R1A4A1018714), by CreativePioneering Researchers Program through Seoul National University (SNU), and by the Institute for Basic Science (IBS-R006-A1).
참고문헌
- Gaddikeri S, Gaddikeri RS, Tailor T, Anzai Y. Dynamic contrast-enhanced MR imaging in head and neck cancer: techniques and clinical applications. AJNR Am J Neuroradiol 2015;37:588-595 https://doi.org/10.3174/ajnr.A4458
- Cheng HL. Investigation and optimization of parameter accuracy in dynamic contrast-enhanced MRI. J Magn Reson Imaging 2008;28:736-743 https://doi.org/10.1002/jmri.21489
- Tofts PS, Brix G, Buckley DL, Evelhoch JL, Henderson E, Knopp MV, et al. Estimating kinetic parameters from dynamic contrast-enhanced T(1)-weighted MRI of a diffusable tracer: standardized quantities and symbols. J Magn Reson Imaging 1999;10:223-232 https://doi.org/10.1002/(SICI)1522-2586(199909)10:3<223::AID-JMRI2>3.0.CO;2-S
- Wang HZ, Riederer SJ, Lee JN. Optimizing the precision in T1 relaxation estimation using limited flip angles. Magn Reson Med 1987;5:399-416 https://doi.org/10.1002/mrm.1910050502
- Ogg RJ, Kingsley PB. Optimized precision of inversion-recovery T1 measurements for constrained scan time. Magn Reson Med 2004;51:625-630 https://doi.org/10.1002/mrm.10734
- Freeman AJ, Gowland PA, Mansfield P. Optimization of the ultrafast Look-Locker echo-planar imaging T1 mapping sequence. Magn Reson Imaging 1998;16:765-772 https://doi.org/10.1016/S0730-725X(98)00011-3
- Haacke EM, Filleti CL, Gattu R, Ciulla C, Al-Bashir A, Suryanarayanan K, et al. New algorithm for quantifying vascular changes in dynamic contrast-enhanced MRI independent of absolute T1 values. Magn Reson Med 2007;58:463-472 https://doi.org/10.1002/mrm.21358
- Yun TJ, Park CK, Kim TM, Lee SH, Kim JH, Sohn CH, et al. Glioblastoma treated with concurrent radiation therapy and temozolomide chemotherapy: differentiation of true progression from pseudoprogression with quantitative dynamic contrast-enhanced MR imaging. Radiology 2015;274:830-840 https://doi.org/10.1148/radiol.14132632
- Yu Y, Jiang Q, Miao Y, Li J, Bao S, Wang H, et al. Quantitative analysis of clinical dynamic contrast-enhanced MR imaging for evaluating treatment response in human breast cancer. Radiology 2010;257:47-55 https://doi.org/10.1148/radiol.10092169
- 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
- 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
- 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
- Kang KM, Choi SH, Hwang M, Yun TJ, Kim JH, Sohn CH. T1 shortening in the globus pallidus after multiple administrations of gadobutrol: assessment with a multidynamic multiecho sequence. Radiology 2018;287:258-266 https://doi.org/10.1148/radiol.2017162852
- Blystad I, Hakansson I, Tisell A, Ernerudh J, Smedby O, Lundberg P, et al. Quantitative MRI for analysis of active multiple sclerosis lesions without gadolinium-based contrast agent. AJNR Am J Neuroradiol 2016;37:94-100 https://doi.org/10.3174/ajnr.A4501
- 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
- Heye T, Davenport MS, Horvath JJ, Feuerlein S, Breault SR, Bashir MR, et al. Reproducibility of dynamic contrast-enhanced MR imaging. Part I. Perfusion characteristics in the female pelvis by using multiple computer-aided diagnosis perfusion analysis solutions. Radiology 2013;266:801-811 https://doi.org/10.1148/radiol.12120278
- Wansapura JP, Holland SK, Dunn RS, Ball WS Jr. NMR relaxation times in the human brain at 3.0 tesla. J Magn Reson Imaging 1999;9:531-538 https://doi.org/10.1002/(SICI)1522-2586(199904)9:4<531::AID-JMRI4>3.0.CO;2-L
- Gelman N, Ewing JR, Gorell JM, Spickler EM, Solomon EG. Interregional variation of longitudinal relaxation rates in human brain at 3.0 T: relation to estimated iron and water contents. Magn Reson Med 2001;45:71-79 https://doi.org/10.1002/1522-2594(200101)45:1<71::AID-MRM1011>3.0.CO;2-2
- Lu H, Nagae-Poetscher LM, Golay X, Lin D, Pomper M, van Zijl PC. Routine clinical brain MRI sequences for use at 3.0 Tesla. J Magn Reson Imaging 2005;22:13-22 https://doi.org/10.1002/jmri.20356
- Wright PJ, Mougin OE, Totman JJ, Peters AM, Brookes MJ, Coxon R, et al. Water proton T1 measurements in brain tissue at 7, 3, and 1.5 T using IR-EPI, IR-TSE, and MPRAGE: results and optimization. MAGMA 2008;21:121-130 https://doi.org/10.1007/s10334-008-0104-8
- Tanenbaum LN, Tsiouris AJ, Johnson AN, Naidich TP, DeLano MC, Melhem ER, et al. Synthetic MRI for clinical neuroimaging: results of the Magnetic Resonance Image Compilation (MAGiC) prospective, multicenter, multireader trial. AJNR Am J Neuroradiol 2017;38:1103-1110 https://doi.org/10.3174/ajnr.A5227
- Breger RK, Yetkin FZ, Fischer ME, Papke RA, Haughton VM, Rimm AA. T1 and T2 in the cerebrum: correlation with age, gender, and demographic factors. Radiology 1991;181:545-547 https://doi.org/10.1148/radiology.181.2.1924802
- Steen RG, Gronemeyer SA, Taylor JS. Age-related changes in proton T1 values of normal human brain. J Magn Reson Imaging 1995;5:43-48 https://doi.org/10.1002/jmri.1880050111
- Cho S, Jones D, Reddick WE, Ogg RJ, Steen RG. Establishing norms for age-related changes in proton T1 of human brain tissue in vivo. Magn Reson Imaging 1997;15:1133-1143 https://doi.org/10.1016/S0730-725X(97)00202-6
- Tietze A, Mouridsen K, Mikkelsen IK. The impact of reliable prebolus T1 measurements or a fixed T1 value in the assessment of glioma patients with dynamic contrast enhancing MRI. Neuroradiology 2015;57:561-572 https://doi.org/10.1007/s00234-015-1502-z
- Nam JG, Kang KM, Choi SH, Lim WH, Yoo RE, Kim JH, et al. Comparison between the prebolus T1 measurement and the fixed T1 value in dynamic contrast-enhanced MR imaging for the differentiation of true progression from pseudoprogression in glioblastoma treated with concurrent radiation therapy and temozolomide chemotherapy. AJNR Am J Neuroradiol 2017;38:2243-2250 https://doi.org/10.3174/ajnr.A5417
- Larsson C, Kleppesto M, Grothe I, Vardal J, Bjornerud A. T1 in high-grade glioma and the influence of different measurement strategies on parameter estimations in DCE-MRI. J Magn Reson Imaging 2015;42:97-104 https://doi.org/10.1002/jmri.24772
- Conte GM, Altabella L, Castellano A, Cuccarini V, Bizzi A, Grimaldi M, et al. Comparison of T1 mapping and fixed T1 method for dynamic contrast-enhanced MRI perfusion in brain gliomas. Eur Radiol 2019;29:3467-3479 https://doi.org/10.1007/s00330-019-06122-x
- Li X, Cai Y, Moloney B, Chen Y, Huang W, Woods M, et al. Relative sensitivities of DCE-MRI pharmacokinetic parameters to arterial input function (AIF) scaling. J Magn Reson 2016;269:104-112 https://doi.org/10.1016/j.jmr.2016.05.018
- Rata M, Collins DJ, Darcy J, Messiou C, Tunariu N, Desouza N, et al. Assessment of repeatability and treatment response in early phase clinical trials using DCE-MRI: comparison of parametric analysis using MR- and CT-derived arterial input functions. Eur Radiol 2016;26:1991-1998 https://doi.org/10.1007/s00330-015-4012-9
- You SH, Choi SH, Kim TM, Park CK, Park SH, Won JK, et al. Differentiation of high-grade from low-grade astrocytoma: improvement in diagnostic accuracy and reliability of pharmacokinetic parameters from DCE MR imaging by using arterial input functions obtained from DSC MR imaging. Radiology 2018;286:981-991 https://doi.org/10.1148/radiol.2017170764
- Zhang CE, Wong SM, Uiterwijk R, Backes WH, Jansen JFA, Jeukens CRLPN, et al. Blood-brain barrier leakage in relation to white matter hyperintensity volume and cognition in small vessel disease and normal aging. Brain Imaging Behav 2019;13:389-395 https://doi.org/10.1007/s11682-018-9855-7
- Thrippleton MJ, Backes WH, Sourbron S, Ingrisch M, van Osch MJP, Dichgans M, et al. Quantifying blood-brain barrier leakage in small vessel disease: review and consensus recommendations. Alzheimers Dement 2019;15:840-858 https://doi.org/10.1016/j.jalz.2019.01.013
- Cramer SP, Simonsen H, Frederiksen JL, Rostrup E, Larsson HB. Abnormal blood-brain barrier permeability in normal appearing white matter in multiple sclerosis investigated by MRI. Neuroimage Clin 2013;10;4:182-189 https://doi.org/10.1016/j.nicl.2013.12.001