과제정보
This study was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B03033829).
참고문헌
- Amemiya S, Aoki S, Takao H. Venous congestion associated with developmental venous anomaly: findings on susceptibility weighted imaging. J Magn Reson Imaging 2008;28:1506-1509 https://doi.org/10.1002/jmri.21546
- Saba PR. The caput medusae sign. Radiology 1998;207:599-600 https://doi.org/10.1148/radiology.207.3.9609879
- Rammos SK, Maina R, Lanzino G. Developmental venous anomalies: current concepts and implications for management. Neurosurgery 2009;65:20-29; discussion 29-30
- San Millan Ruiz D, Delavelle J, Yilmaz H, Gailloud P, Piovan E, Bertramello A, et al. Parenchymal abnormalities associated with developmental venous anomalies. Neuroradiology 2007;49:987-995 https://doi.org/10.1007/s00234-007-0279-0
- Takasugi M, Fujii S, Shinohara Y, Kaminou T, Watanabe T, Ogawa T. Parenchymal hypointense foci associated with developmental venous anomalies: evaluation by phase-sensitive MR imaging at 3T. AJNR Am J Neuroradiol 2013;34:1940-1944 https://doi.org/10.3174/ajnr.A3495
- Jung HN, Kim ST, Cha J, Kim HJ, Byun HS, Jeon P, et al. Diffusion and perfusion MRI findings of the signal-intensity abnormalities of brain associated with developmental venous anomaly. AJNR Am J Neuroradiol 2014;35:1539-1542 https://doi.org/10.3174/ajnr.A3900
- Signorelli F, Gory B, Maduri R, Guyotat J, Pelissou-Guyotat I, Chirchiglia D, et al. Intracranial dural arteriovenous fistulas: a review of their current management based on emerging knowledge. J Neurosurg Sci 2017;61:193-206 https://doi.org/10.23736/S0390-5616.16.03168-4
- Iwama T, Hashimoto N, Takagi Y, Tanaka M, Yamamoto S, Nishi S, et al. Hemodynamic and metabolic disturbances in patients with intracranial dural arteriovenous fistulas: positron emission tomography evaluation before and after treatment. J Neurosurg 1997;86:806-811 https://doi.org/10.3171/jns.1997.86.5.0806
- Roh JE, Cha SH, Lee SY, Jeon MH, Cho BS, Kang MH, et al. Atypical developmental venous anomaly associated with single arteriovenous fistula and intracerebral hemorrhage: a case demonstrated by superselective angiography. Korean J Radiol 2012;13:107-110 https://doi.org/10.3348/kjr.2012.13.1.107
- Wehrli FW, Rodgers ZB, Jain V, Langham MC, Li C, Licht DJ, et al. Time-resolved MRI oximetry for quantifying CMRO(2) and vascular reactivity. Acad Radiol 2014;21:207-214 https://doi.org/10.1016/j.acra.2013.11.001
- Yamauchi H, Fukuyama H, Nagahama Y, Nabatame H, Ueno M, Nishizawa S, et al. Significance of increased oxygen extraction fraction in five-year prognosis of major cerebral arterial occlusive diseases. J Nucl Med 1999;40:1992-1998
- Grubb RL, Jr., Derdeyn CP, Fritsch SM, Carpenter DA, Yundt KD, Videen TO, et al. Importance of hemodynamic factors in the prognosis of symptomatic carotid occlusion. JAMA 1998;280:1055-1060 https://doi.org/10.1001/jama.280.12.1055
- Liu C, Li W, Tong KA, Yeom KW, Kuzminski S. Susceptibility-weighted imaging and quantitative susceptibility mapping in the brain. J Magn Reson Imaging 2015;42:23-41 https://doi.org/10.1002/jmri.24768
- Fushimi Y, Miki Y, Togashi K, Kikuta K, Hashimoto N, Fukuyama H. A developmental venous anomaly presenting atypical findings on susceptibility-weighted imaging. AJNR Am J Neuroradiol 2008;29:E56
- Wehrli FW, Fan AP, Rodgers ZB, Englund EK, Langham MC. Susceptibility-based time-resolved whole-organ and regional tissue oximetry. NMR Biomed 2017;30. doi: 10.1002/nbm.3495. Epub 2016 Feb 26
- Zhang J, Liu T, Gupta A, Spincemaille P, Nguyen TD, Wang Y. Quantitative mapping of cerebral metabolic rate of oxygen (CMRO2) using quantitative susceptibility mapping (QSM). Magn Reson Med 2015;74:945-952 https://doi.org/10.1002/mrm.25463
- Schofield MA, Zhu Y. Fast phase unwrapping algorithm for interferometric applications. Opt Lett 2003;28:1194-1196 https://doi.org/10.1364/OL.28.001194
- Smith SM. Fast robust automated brain extraction. Hum Brain Mapp 2002;17:143-155 https://doi.org/10.1002/hbm.10062
- Joshi NV, Vesey AT, Williams MC, Shah AS, Calvert PA, Craighead FH, et al. 18F-fluoride positron emission tomography for identification of ruptured and high-risk coronary atherosclerotic plaques: a prospective clinical trial. Lancet 2014;383:705-713 https://doi.org/10.1016/S0140-6736(13)61754-7
- Li W, Wang N, Yu F, Han H, Cao W, Romero R, et al. A method for estimating and removing streaking artifacts in quantitative susceptibility mapping. Neuroimage 2015;108:111-122 https://doi.org/10.1016/j.neuroimage.2014.12.043
- Haacke EM, Liu S, Buch S, Zheng W, Wu D, Ye Y. Quantitative susceptibility mapping: current status and future directions. Magn Reson Imaging 2015;33:1-25 https://doi.org/10.1016/j.mri.2014.09.004
- Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, et al. Engineering and algorithm design for an image processing Api: a technical report on ITK--the insight toolkit. Stud Health Technol Inform 2002;85:586-592
- Bilgic B, Pfefferbaum A, Rohlfing T, Sullivan EV, Adalsteinsson E. MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping. Neuroimage 2012;59:2625-2635 https://doi.org/10.1016/j.neuroimage.2011.08.077
- Langkammer C, Schweser F, Krebs N, Deistung A, Goessler W, Scheurer E, et al. Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study. Neuroimage 2012;62:1593-1599 https://doi.org/10.1016/j.neuroimage.2012.05.049
- Deistung A, Schafer A, Schweser F, Biedermann U, Turner R, Reichenbach JR. Toward in vivo histology: a comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2*-imaging at ultra-high magnetic field strength. Neuroimage 2013;65:299-314 https://doi.org/10.1016/j.neuroimage.2012.09.055
- Chai C, Guo R, Zuo C, Fan L, Liu S, Qian T, et al. Decreased susceptibility of major veins in mild traumatic brain injury is correlated with post-concussive symptoms: a quantitative susceptibility mapping study. Neuroimage Clin 2017;15:625-632 https://doi.org/10.1016/j.nicl.2017.06.008
- Liu J, Xia S, Hanks R, Wiseman N, Peng C, Zhou S, et al. Susceptibility weighted imaging and mapping of micro-hemorrhages and major deep veins after traumatic brain injury. J Neurotrauma 2016;33:10-21 https://doi.org/10.1089/neu.2014.3856
- Taoka T, Fukusumi A, Miyasaka T, Kawai H, Nakane T, Kichikawa K, et al. Structure of the medullary veins of the cerebral hemisphere and related disorders. Radiographics 2017;37:281-297 https://doi.org/10.1148/rg.2017160061
- Truwit CL. Venous angioma of the brain: history, significance, and imaging findings. AJR Am J Roentgenol 1992;159:1299-1307 https://doi.org/10.2214/ajr.159.6.1442406
- Xia S, Utriainen D, Tang J, Kou Z, Zheng G, Wang X, et al. Decreased oxygen saturation in asymmetrically prominent cortical veins in patients with cerebral ischemic stroke. Magn Reson Imaging 2014;32:1272-1276 https://doi.org/10.1016/j.mri.2014.08.012
- Letourneau-Guillon L, Krings T. Simultaneous arteriovenous shunting and venous congestion identification in dural arteriovenous fistulas using susceptibility-weighted imaging: initial experience. AJNR Am J Neuroradiol 2012;33:301-307 https://doi.org/10.3174/ajnr.A2777
- Nakagawa I, Taoka T, Wada T, Nakagawa H, Sakamoto M, Kichikawa K, et al. The use of susceptibility-weighted imaging as an indicator of retrograde leptomeningeal venous drainage and venous congestion with dural arteriovenous fistula: diagnosis and follow-up after treatment. Neurosurgery 2013;72:47-54; discussion 55 https://doi.org/10.1227/NEU.0b013e318276f7cc
- Liu Z, Li Y. Cortical cerebral blood flow, oxygen extraction fraction, and metabolic rate in patients with middle cerebral artery stenosis or acute stroke. AJNR Am J Neuroradiol 2016;37:607-614 https://doi.org/10.3174/ajnr.A4624
- Shmueli K, de Zwart JA, van Gelderen P, Li TQ, Dodd SJ, Duyn JH. Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data. Magn Reson Med 2009;62:1510-1522 https://doi.org/10.1002/mrm.22135