Literature DB >> 29106647

Contrast Time-Density Time on Digital Subtraction Angiography Correlates With Cerebral Arteriovenous Malformation Flow Measured by Quantitative Magnetic Resonance Angiography, Angioarchitecture, and Hemorrhage.

Denise Brunozzi1, Ahmed E Hussein1, Sophia F Shakur1, Andreas Linninger1,2, Chih-Yang Hsu2, Fady T Charbel1, Ali Alaraj1,2.   

Abstract

BACKGROUND: Digital subtraction angiography (DSA) currently provides angioarchitectural features of cerebral arteriovenous malformations (AVMs) but its role in the hemodynamic evaluation of AVMs is poorly understood.
OBJECTIVE: To assess contrast time-density time (TT) on DSA relative to AVM flow measured using quantitative magnetic resonance angiography (QMRA).
METHODS: Patients seen at our institution between 2007 and 2014 with a supratentorial AVM and DSA and QMRA obtained prior to any treatment were retrospectively reviewed. Regions of interest were selected on the draining veins at the point closest to the nidus. TT on DSA was defined as time needed for contrast to change image intensity from 10% to 100%, 100% to 10%, and 25% to 25%. TT was correlated to AVM total flow, angioarchitectural features, and hemorrhage.
RESULTS: Twenty-eight patients (mean age 35.6 yr) were included. Six patients presented with hemorrhage. Mean AVM volume was 11.42 mL (range 0.3-57.7 mL). Higher total AVM flow significantly correlated with shorter TT100%-10% and TT25%-25% (P = .02, .02, respectively). Presence of venous stenosis correlated significantly with shorter TT100%-10% (P = .04) and TT25%-25% (P = .04). AVMs with a single draining vein exhibited longer TT25%-25% compared to those with multiple draining veins (P = .04). Ruptured AVMs had significantly shorter TT10%-100% compared to unruptured AVMs (P = .05).
CONCLUSION: TT on DSA correlates with cerebral AVM flow measured using QMRA and with AVM angioarchitecture and hemorrhagic presentation. Thus, TT may be used to indirectly estimate AVM flow during angiography in real-time and may also be an indicator of important AVM characteristics associated with outflow resistance and increased rupture risk, such as venous stenosis.

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Year:  2018        PMID: 29106647     DOI: 10.1093/neuros/nyx351

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  8 in total

1.  2D parametric contrast time-density analysis for the prediction of complete aneurysm occlusion at six months' post-flow diversion stent.

Authors:  Ahmed E Hussein; Meghana Shownkeen; Andre Thomas; Christopher Stapleton; Denise Brunozzi; Jessica Nelson; John Naumgart; Andreas Linninger; Gursant Atwal; Ali Alaraj
Journal:  Interv Neuroradiol       Date:  2020-02-26       Impact factor: 1.610

2.  Cerebral arteriovenous malformation venous stenosis is associated with hemodynamic changes at the draining vein-venous sinus junction.

Authors:  Murad Alqadi; Denise Brunozzi; Andreas Linninger; Sepideh Amin-Hanjani; Fady T Charbel; Ali Alaraj
Journal:  Med Hypotheses       Date:  2019-01-07       Impact factor: 1.538

3.  Hemodynamic Analysis of Cerebral AVMs with 3D Phase-Contrast MR Imaging.

Authors:  Y Takeda; T Kin; T Sekine; H Hasegawa; Y Suzuki; H Uchikawa; T Koike; S Kiyofuji; Y Shinya; M Kawashima; N Saito
Journal:  AJNR Am J Neuroradiol       Date:  2021-10-07       Impact factor: 3.825

Review 4.  A Systematic Review Comparing Digital Subtraction Angiogram With Magnetic Resonance Angiogram Studies in Demonstrating the Angioarchitecture of Cerebral Arteriovenous Malformations.

Authors:  Aishwarya Raman; Manish Uprety; Maria Jose Calero; Maria Resah B Villanueva; Narges Joshaghani; Nicole Villa; Omar Badla; Raman Goit; Samia E Saddik; Sarah N Dawood; Ahmad M Rabih; Ahmad Mohammed; Tharun Yadhav Selvamani; Jihan Mostafa
Journal:  Cureus       Date:  2022-06-09

5.  Microsurgical Treatment of Deep and Eloquent AVMs.

Authors:  Phillip Cem Cezayirli; Hatice Türe; Uğur Türe
Journal:  Adv Tech Stand Neurosurg       Date:  2022

Review 6.  Risk factors for hemorrhage of brain arteriovenous malformation.

Authors:  Sonali S Shaligram; Ethan Winkler; Daniel Cooke; Hua Su
Journal:  CNS Neurosci Ther       Date:  2019-07-29       Impact factor: 5.243

7.  Quantitative magnetic resonance angiography to assess post embolization hemodynamics following pipeline embolization.

Authors:  Timothy G White; Brendan Ryu; Kevin A Shah; Justin Turpin; Karen Black; Thomas Link; Amir R Dehdashti; Jeffrey M Katz; Henry H Woo
Journal:  Interv Neuroradiol       Date:  2021-06-20       Impact factor: 1.764

8.  Signal intensity ratio of draining vein on silent MR angiography as an indicator of high-flow arteriovenous shunt in brain arteriovenous malformation.

Authors:  Chun-Xue Wu; Zhen-Xiang Zang; Tao Hong; Meng-Qi Dong; Yi Shan; Zhi-Lian Zhao; Cheng-Bei Hou; Jie Lu
Journal:  Eur Radiol       Date:  2021-07-15       Impact factor: 5.315

  8 in total

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