Evaluation of cerebral arteriovenous shunts: a comparison of parallel imaging time-of-flight magnetic resonance angiography (TOF-MRA) and compressed sensing TOF-MRA to digital subtraction angiography.
Arterial venous fistula
Arteriovenous malformation
Compressed sensing
MR angiography
Parallel imaging
Journal
Neuroradiology
ISSN: 1432-1920
Titre abrégé: Neuroradiology
Pays: Germany
ID NLM: 1302751
Informations de publication
Date de publication:
Jun 2021
Jun 2021
Historique:
received:
27
07
2020
accepted:
06
10
2020
pubmed:
17
10
2020
medline:
30
9
2021
entrez:
16
10
2020
Statut:
ppublish
Résumé
Time-of-flight (TOF)-MR angiography (MRA) is an important imaging sequence for the surveillance and analysis of cerebral arteriovenous shunt (AVS), including arteriovenous malformation (AVM) and arteriovenous fistula (AVF). However, this technique has the disadvantage of a relatively long scan time. The aim of this study was to compare diagnostic accuracy between compressed sensing (CS)-TOF and conventional parallel imaging (PI)-TOF-MRA for detecting and characterizing AVS. This study was approved by the institutional review board for human studies. Participants comprised 56 patients who underwent both CS-TOF-MRA and PI-TOF-MRA on a 3-T MR unit with or without cerebral AVS between June 2016 and September 2018. Imaging parameters for both sequences were almost identical, except the acceleration factor of 3× for PI-TOF-MRA and 6.5× for CS-TOF-MRA, and the scan time of 5 min 19 s for PI-TOF-MRA and 2 min 26 s for CS-TOF-MRA. Two neuroradiologists assessed the accuracy of AVS detection on each sequence and analyzed AVS angioarchitecture. Concordance between CS-TOF, PI-TOF, and digital subtraction angiography was calculated using unweighted and weighted kappa statistics. Both CS-TOF-MRA and PI-TOF-MRA yielded excellent sensitivity and specificity for detecting intracranial AVS (reviewer 1, 97.3%, 94.7%; reviewer 2, 100%, 100%, respectively). Interrater agreement on the angioarchitectural features of intracranial AVS on CS-MRA and PI-MRA was moderate to good. The diagnostic performance of CS-TOF-MRA is comparable to that of PI-TOF-MRA in detecting and classifying AVS with a reduced scan time under 2.5 min.
Identifiants
pubmed: 33063222
doi: 10.1007/s00234-020-02581-y
pii: 10.1007/s00234-020-02581-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
879-887Subventions
Organisme : Japan Society for the Promotion of Science (JP)
ID : JP18K07711
Organisme : Japan Society for the Promotion of Science (JP)
ID : 19K17266
Références
Wanke I, Rüfenacht DA (2015) The Dural AV-fistula (DAVF), the most frequent acquired vascular malformation of the central nervous system (CNS). Clin Neuroradiol 25(Suppl 2):325–332. https://doi.org/10.1007/s00062-015-0449-0
doi: 10.1007/s00062-015-0449-0
pubmed: 26308245
Unnithan A (2020) Overview of the current concepts in the management of arteriovenous malformations of the brain. Postgrad Med J 96(1134):212–220. https://doi.org/10.1136/postgradmedj-2019-137202
doi: 10.1136/postgradmedj-2019-137202
pubmed: 32015188
Jolink WM, van Dijk JM, van Asch CJ, de Kort GA, Algra A, Groen RJ, Rinkel GJ, Klijn CJ (2015) Outcome after intracranial haemorrhage from dural arteriovenous fistulae; a systematic review and case-series. J Neurol 262(12):2678–2683. https://doi.org/10.1007/s00415-015-7898-x
doi: 10.1007/s00415-015-7898-x
pubmed: 26410748
pmcid: 4655013
Ding D, Chen CJ, Starke RM, Kano H, Lee JYK, Mathieu D, Feliciano C, Rodriguez-Mercado R, Almodovar L, Grills IS, Kondziolka D, Barnett GH, Lunsford LD, Sheehan JP (2019) Risk of brain arteriovenous malformation hemorrhage before and after stereotactic radiosurgery. Stroke 50(6):1384–1391. https://doi.org/10.1161/strokeaha.118.024230
doi: 10.1161/strokeaha.118.024230
pubmed: 31043153
Brito A, Tsang ACO, Hilditch C, Nicholson P, Krings T, Brinjikji W (2019) Intracranial dural arteriovenous fistula as a reversible cause of dementia: case series and literature review. World Neurosurg 121:e543–e553. https://doi.org/10.1016/j.wneu.2018.09.161
doi: 10.1016/j.wneu.2018.09.161
pubmed: 30268554
Wang XC, Du YY, Tan Y, Qin JB, Wang L, Wu XF, Liang X, Zhang L, Li LN, Zhou X, Feng DP, Ma GL, Zhang H (2018) Brainstem congestion due to dural arteriovenous fistula at the craniocervical junction: case report and review of the literature. World Neurosurg 118:181–187. https://doi.org/10.1016/j.wneu.2018.06.243
doi: 10.1016/j.wneu.2018.06.243
pubmed: 30010077
Rocca G, Caputo F, Terranova C, Alice S, Ventura F (2019) Myelopathy due to intracranial dural arteriovenous fistula with perimedullary venous drainage: clinical and medico-legal aspects in a case of diagnostic pitfall. World Neurosurg 124:62–66. https://doi.org/10.1016/j.wneu.2018.12.150
doi: 10.1016/j.wneu.2018.12.150
Spetzler RF, Martin NA (1986) A proposed grading system for arteriovenous malformations. J Neurosurg 65(4):476–483. https://doi.org/10.3171/jns.1986.65.4.0476
doi: 10.3171/jns.1986.65.4.0476
pubmed: 3760956
Ding D, Ilyas A, Sheehan JP (2018) Contemporary management of high-grade brain arteriovenous malformations. Neurosurgery 65(CN_suppl_1):24–33. https://doi.org/10.1093/neuros/nyy107
doi: 10.1093/neuros/nyy107
pubmed: 31076783
Borden JA, Wu JK, Shucart WA (1995) A proposed classification for spinal and cranial dural arteriovenous fistulous malformations and implications for treatment. J Neurosurg 82(2):166–179. https://doi.org/10.3171/jns.1995.82.2.0166
doi: 10.3171/jns.1995.82.2.0166
pubmed: 7815143
Katsaridis V (2009) Treatment of dural arteriovenous fistulas. Curr Treat Options Neurol 11(1):35–40. https://doi.org/10.1007/s11940-009-0005-9
doi: 10.1007/s11940-009-0005-9
pubmed: 19094834
In 't Veld M, Fronczek R, Dos Santos MP, van Walderveen MAA, Meijer FJA, Willems PWA (2019) High sensitivity and specificity of 4D-CTA in the detection of cranial arteriovenous shunts. Eur Radiol 29(11):5961–5970. https://doi.org/10.1007/s00330-019-06234-4
doi: 10.1007/s00330-019-06234-4
pubmed: 31089848
pmcid: 6795637
Togao O, Hiwatashi A, Yamashita K, Momosaka D, Obara M, Nishimura A, Arimura K, Hata N, Iihara K, Van Cauteren M, Honda H (2019) Acceleration-selective arterial spin labeling MR angiography for visualization of brain arteriovenous malformations. Neuroradiology 61(9):979–989. https://doi.org/10.1007/s00234-019-02217-w
doi: 10.1007/s00234-019-02217-w
pubmed: 31016367
Arai N, Akiyama T, Fujiwara K, Koike K, Takahashi S, Horiguchi T, Jinzaki M, Yoshida K (2020) Silent MRA: arterial spin labeling magnetic resonant angiography with ultra-short time echo assessing cerebral arteriovenous malformation. Neuroradiology 62(4):455–461. https://doi.org/10.1007/s00234-019-02345-3
doi: 10.1007/s00234-019-02345-3
pubmed: 31898767
Tomura N, Saginoya T, Kokubun M, Horiuchi K, Watanabe Z (2019) Comparison of time-of-flight-magnetic resonance angiography from silent scan magnetic resonance angiography in depiction of arteriovenous malformation of the brain. J Comput Assist Tomogr 43(6):943–947. https://doi.org/10.1097/rct.0000000000000935
doi: 10.1097/rct.0000000000000935
pubmed: 31738210
Lin YH, Wang YF, Liu HM, Lee CW, Chen YF, Hsieh HJ (2018) Diagnostic accuracy of CTA and MRI/MRA in the evaluation of the cortical venous reflux in the intracranial dural arteriovenous fistula DAVF. Neuroradiology 60(1):7–15. https://doi.org/10.1007/s00234-017-1948-2
doi: 10.1007/s00234-017-1948-2
pubmed: 29188304
Iryo Y, Hirai T, Kai Y, Nakamura M, Shigematsu Y, Kitajima M, Azuma M, Komi M, Morita K, Yamashita Y (2014) Intracranial dural arteriovenous fistulas: evaluation with 3-T four-dimensional MR angiography using arterial spin labeling. Radiology 271(1):193–199. https://doi.org/10.1148/radiol.13122670
doi: 10.1148/radiol.13122670
pubmed: 24475797
Miyasaka T, Taoka T, Nakagawa H, Wada T, Takayama K, Myochin K, Sakamoto M, Ochi T, Akashi T, Kichikawa K (2012) Application of susceptibility weighted imaging (SWI) for evaluation of draining veins of arteriovenous malformation: utility of magnitude images. Neuroradiology 54(11):1221–1227. https://doi.org/10.1007/s00234-012-1029-5
doi: 10.1007/s00234-012-1029-5
pubmed: 22592320
Li CQ, Hsiao A, Hattangadi-Gluth J, Handwerker J, Farid N (2018) Early hemodynamic response assessment of stereotactic radiosurgery for a cerebral arteriovenous malformation using 4D flow MRI. AJNR Am J Neuroradiol 39(4):678–681. https://doi.org/10.3174/ajnr.A5535
doi: 10.3174/ajnr.A5535
pubmed: 29371257
pmcid: 7410784
Komatsu K, Takagi Y, Ishii A, Kikuchi T, Yamao Y, Fushimi Y, Grinstead J, Ahn S, Miyamoto S (2018) Ruptured intranidal aneurysm of an arteriovenous malformation diagnosed by delay alternating with nutation for tailored excitation (DANTE)-prepared contrast-enhanced magnetic resonance imaging. Acta Neurochir 160(12):2435–2438. https://doi.org/10.1007/s00701-018-3713-7
doi: 10.1007/s00701-018-3713-7
pubmed: 30367252
Hadizadeh DR, von Falkenhausen M, Gieseke J, Meyer B, Urbach H, Hoogeveen R, Schild HH, Willinek WA (2008) Cerebral arteriovenous malformation: Spetzler-Martin classification at subsecond-temporal-resolution four-dimensional MR angiography compared with that at DSA. Radiology 246(1):205–213. https://doi.org/10.1148/radiol.2453061684
doi: 10.1148/radiol.2453061684
pubmed: 17951352
Wu CX, Ma L, Chen XZ, Chen XL, Chen Y, Zhao YL, Hess C, Kim H, Jin HW, Ma J (2018) Evaluation of angioarchitectural features of unruptured brain arteriovenous malformation by susceptibility weighted imaging. World Neurosurg 116:e1015–e1022. https://doi.org/10.1016/j.wneu.2018.05.151
doi: 10.1016/j.wneu.2018.05.151
pubmed: 29859363
pmcid: 6876549
Azuma M, Hirai T, Shigematsu Y, Kitajima M, Kai Y, Yano S, Nakamura H, Makino K, Iryo Y, Yamashita Y (2015) Evaluation of intracranial dural arteriovenous fistulas: comparison of unenhanced 3T 3D time-of-flight MR angiography with digital subtraction angiography. Magn Reson Med Sci 14(4):285–293. https://doi.org/10.2463/mrms.2014-0120
doi: 10.2463/mrms.2014-0120
pubmed: 25994036
Kwon BJ, Han MH, Kang HS, Chang KH (2005) MR imaging findings of intracranial dural arteriovenous fistulas: relations with venous drainage patterns. AJNR Am J Neuroradiol 26(10):2500–2507
pubmed: 16286391
Schubert T, Clark Z, Sandoval-Garcia C, Zea R, Wieben O, Wu H, Turski PA, Johnson KM (2018) Non contrast, pseudo-continuous arterial spin labeling and accelerated 3-dimensional radial acquisition intracranial 3-dimensional magnetic resonance angiography for the detection and classification of intracranial arteriovenous shunts. Investig Radiol 53(2):80–86. https://doi.org/10.1097/rli.0000000000000411
doi: 10.1097/rli.0000000000000411
Yu S, Yan L, Yao Y, Wang S, Yang M, Wang B, Zhuo Y, Ai L, Miao X, Zhao J, Wang DJ (2012) Noncontrast dynamic MRA in intracranial arteriovenous malformation (AVM), comparison with time of flight (TOF) and digital subtraction angiography (DSA). Magn Reson Imaging 30(6):869–877. https://doi.org/10.1016/j.mri.2012.02.027
doi: 10.1016/j.mri.2012.02.027
pubmed: 22521994
pmcid: 4143232
Hodel J, Leclerc X, Kalsoum E, Zuber M, Tamazyan R, Benadjaoud MA, Pruvo JP, Piotin M, Baharvahdat H, Zins M, Blanc R (2017) Intracranial arteriovenous shunting: detection with arterial spin-labeling and susceptibility-weighted imaging combined. AJNR Am J Neuroradiol 38(1):71–76. https://doi.org/10.3174/ajnr.A4961
doi: 10.3174/ajnr.A4961
pubmed: 27789452
pmcid: 7963679
Lin YH, Lin HH, Liu HM, Lee CW, Chen YF (2016) Diagnostic performance of CT and MRI on the detection of symptomatic intracranial dural arteriovenous fistula: a meta-analysis with indirect comparison. Neuroradiology 58(8):753–763. https://doi.org/10.1007/s00234-016-1696-8
doi: 10.1007/s00234-016-1696-8
pubmed: 27185610
Okuchi S, Fushimi Y, Okada T, Yamamoto A, Kikuchi T, Yoshida K, Miyamoto S, Togashi K (2019) Visualization of carotid vessel wall and atherosclerotic plaque: T1-SPACE vs. compressed sensing T1-SPACE. Eur Radiol 29(8):4114–4122. https://doi.org/10.1007/s00330-018-5862-8
doi: 10.1007/s00330-018-5862-8
pubmed: 30523455
Yokota Y, Fushimi Y, Okada T, Fujimoto K, Oshima S, Nakajima S, Fujii T, Tanji M, Inagaki N, Miyamoto S, Togashi K (2020) Evaluation of image quality of pituitary dynamic contrast-enhanced MRI using time-resolved angiography with interleaved stochastic trajectories (TWIST) and iterative reconstruction TWIST (IT-TWIST). J Magn Reson Imaging 51(5):1497–1506. https://doi.org/10.1002/jmri.26962
doi: 10.1002/jmri.26962
pubmed: 31625655
Yamamoto T, Okada T, Fushimi Y, Yamamoto A, Fujimoto K, Okuchi S, Fukutomi H, Takahashi JC, Funaki T, Miyamoto S, Stalder AF, Natsuaki Y, Speier P, Togashi K (2018) Magnetic resonance angiography with compressed sensing: an evaluation of moyamoya disease. PLoS One 13(1):e0189493. https://doi.org/10.1371/journal.pone.0189493
doi: 10.1371/journal.pone.0189493
pubmed: 29351284
pmcid: 5774704
Lin Z, Zhang X, Guo L, Wang K, Jiang Y, Hu X, Huang Y, Wei J, Ma S, Liu Y, Zhu L, Zhuo Z, Liu J, Wang X (2019) Clinical feasibility study of 3D intracranial magnetic resonance angiography using compressed sensing. J Magn Reson Imaging 50(6):1843–1851. https://doi.org/10.1002/jmri.26752
doi: 10.1002/jmri.26752
pubmed: 30980468
Fushimi Y, Okada T, Kikuchi T, Yamamoto A, Yamamoto T, Schmidt M, Yoshida K, Miyamoto S, Togashi K (2017) Clinical evaluation of time-of-flight MR angiography with sparse undersampling and iterative reconstruction for cerebral aneurysms. NMR Biomed 30(11). https://doi.org/10.1002/nbm.3774
Lustig M, Donoho D, Pauly JM (2007) Sparse MRI: the application of compressed sensing for rapid MR imaging. Magn Reson Med 58(6):1182–1195. https://doi.org/10.1002/mrm.21391
doi: 10.1002/mrm.21391
pubmed: 17969013
Lu SS, Qi M, Zhang X, Mu XH, Schmidt M, Sun Y, Forman C, Speier P, Hong XN (2018) Clinical evaluation of highly accelerated compressed sensing time-of-flight MR angiography for intracranial arterial stenosis. AJNR Am J Neuroradiol 39(10):1833–1838. https://doi.org/10.3174/ajnr.A5786
doi: 10.3174/ajnr.A5786
pubmed: 30213812
pmcid: 7410741
Zhang X, Cao YZ, Mu XH, Sun Y, Schmidt M, Forman C, Speier P, Lu SS, Hong XN (2020) Highly accelerated compressed sensing time-of-flight magnetic resonance angiography may be reliable for diagnosing head and neck arterial steno-occlusive disease: a comparative study with digital subtraction angiography. Eur Radiol 30:3059–3065. https://doi.org/10.1007/s00330-020-06682-3
doi: 10.1007/s00330-020-06682-3
pubmed: 32064562
Demerath T, Bonati L, El Mekabaty A, Schubert T (2020) High-resolution compressed-sensing time-of-flight MRA in a case of acute ICA/MCA dissection. Neuroradiology. 62:753–756. https://doi.org/10.1007/s00234-020-02395-y
doi: 10.1007/s00234-020-02395-y
pubmed: 32198564
Jagadeesan BD, Delgado Almandoz JE, Moran CJ, Benzinger TL (2011) Accuracy of susceptibility-weighted imaging for the detection of arteriovenous shunting in vascular malformations of the brain. Stroke 42(1):87–92. https://doi.org/10.1161/STROKEAHA.110.584862
doi: 10.1161/STROKEAHA.110.584862
pubmed: 21088245
Yamamoto T, Fujimoto K, Okada T, Fushimi Y, Stalder AF, Natsuaki Y, Schmidt M, Togashi K (2016) Time-of-flight magnetic resonance angiography with sparse undersampling and iterative reconstruction: comparison with conventional parallel imaging for accelerated imaging. Investig Radiol 51(6):372–378. https://doi.org/10.1097/rli.0000000000000221
doi: 10.1097/rli.0000000000000221
Denby CE, Chatterjee K, Pullicino R, Lane S, Radon MR, Das KV (2020) Is four-dimensional CT angiography as effective as digital subtraction angiography in the detection of the underlying causes of intracerebral haemorrhage: a systematic review. Neuroradiology 62(3):273–281. https://doi.org/10.1007/s00234-019-02349-z
doi: 10.1007/s00234-019-02349-z
pubmed: 31901972
pmcid: 7044254