Literature DB >> 12970520

Analysis of mean transit time of contrast medium in ruptured and unruptured arteriovenous malformations: a digital subtraction angiographic study.

Tatemi Todaka1, Jun-ichiro Hamada, Yutaka Kai, Motohiro Morioka, Yukitaka Ushio.   

Abstract

BACKGROUND AND
PURPOSE: To clarify hemodynamic risk factors for hemorrhage in arteriovenous malformations (AVMs), the mean transit time (MTT) of feeding arteries and draining veins in AVMs with and without hemorrhage was measured and analyzed.
METHODS: Morphological features such as the number and diameter of draining and feeding vessels and the AVM nidus volume were evaluated in 30 patients with supratentorial AVMs. The MTT of feeding arteries and draining veins was measured with the use of time-density curves obtained by digital subtraction angiography. The correlation between hemorrhage and morphology and hemorrhage and MTT was analyzed statistically.
RESULTS: The nidus volume was not significantly different between hemorrhagic and nonhemorrhagic AVMs. However, between ruptured and unruptured AVMs there was a significant difference in the mean number of draining veins (1.5+/-0.69 versus 2.3+/-0.50; P=0.006), the MTT of the feeding artery (1.10+/-0.24 versus 1.62+/-0.55; P=0.03), and the ratio of the MTT of the draining to the feeding vessels (1.71+/-0.43 versus 1.05+/-0.07; P<0.001).
CONCLUSIONS: A high ratio of the MTT of draining veins to feeding arteries suggests disequilibrium between nidal inflow and outflow. The consequent increased pressure in the draining vein may contribute to the development of AVM hemorrhage.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12970520     DOI: 10.1161/01.STR.0000089924.43363.E3

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  8 in total

1.  The effect of preoperative embolization and flow dynamics on resection of brain arteriovenous malformations.

Authors:  Grace F Donzelli; Jeffrey Nelson; David McCoy; Charles E McCulloch; Steven W Hetts; Matthew R Amans; Christopher F Dowd; Van V Halbach; Randall T Higashida; Michael T Lawton; Helen Kim; Daniel L Cooke
Journal:  J Neurosurg       Date:  2019-05-17       Impact factor: 5.115

2.  Evaluation of 4D vascular flow and tissue perfusion in cerebral arteriovenous malformations: influence of Spetzler-Martin grade, clinical presentation, and AVM risk factors.

Authors:  C Wu; S A Ansari; A R Honarmand; P Vakil; M C Hurley; B R Bendok; J Carr; T J Carroll; M Markl
Journal:  AJNR Am J Neuroradiol       Date:  2015-02-26       Impact factor: 3.825

3.  Subsequent haemorrhage in children with untreated brain arteriovenous malformation: Higher risk with unbalanced inflow and outflow angioarchitecture.

Authors:  Li Ma; Xiao-Lin Chen; Yu Chen; Chun-Xue Wu; Jun Ma; Yuan-Li Zhao
Journal:  Eur Radiol       Date:  2016-11-29       Impact factor: 5.315

4.  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

5.  Interrater Reliability in the Measurement of Flow Characteristics on Color-Coded Quantitative DSA of Brain AVMs.

Authors:  K H Narsinh; K Mueller; J Nelson; J Massachi; D C Murph; A Z Copelan; S W Hetts; V V Halbach; R T Higashida; A A Abla; M R Amans; C F Dowd; H Kim; D L Cooke
Journal:  AJNR Am J Neuroradiol       Date:  2020-10-29       Impact factor: 3.825

6.  Higher Flow Is Present in Unruptured Arteriovenous Malformations With Silent Intralesional Microhemorrhages.

Authors:  Xiaolin Chen; Daniel L Cooke; David Saloner; Jeffrey Nelson; Hua Su; Michael T Lawton; Christopher Hess; Tarik Tihan; Yuanli Zhao; Helen Kim
Journal:  Stroke       Date:  2017-08-30       Impact factor: 7.914

Review 7.  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

8.  AVM Compartments: Do they modulate trasnidal pressures? An electrical network analysis.

Authors:  Miguel Lorenzo Silva Litao; Carlene Pc Pilar-Arceo; Gerardo Dizon Legaspi
Journal:  Asian J Neurosurg       Date:  2012-10
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.