Literature DB >> 15519860

Functional MRI near vascular anomalies: comparison of cavernoma and arteriovenous malformation.

Gary W Thickbroom1, Michelle L Byrnes, Ian T Morris, Michael J Fallon, Neville W Knuckey, Frank L Mastaglia.   

Abstract

BACKGROUND AND
PURPOSE: Mapping of eloquent cortex using blood-oxygen-level-dependent (BOLD) contrast functional MRI (fMRI) has rapidly gained acceptance as part of the evaluation of patients being considered for neurosurgical interventions. The BOLD signal measures local susceptibility in the blood, which can change during periods of increased neuronal activation as a result of alteration in blood flow and cerebral oxygen utilisation. Vascular anomalies could influence the BOLD signal via their effects on both blood flow and susceptibility.
METHODS: In the present study we have compared the fMRI signal associated with functional activation near arteriovenous malformations and cavernomas in a group of patients referred for pre-surgical mapping of eloquent cortex.
RESULTS: The magnitude of the BOLD signal was not different for the cavernoma group and the AVM group (mean percentage signal change 6.3% vs. 5.5%). For subjects with cavernoma, there was an increase in cavernoma volume on the functional images compared to T1-weighted anatomical images (mean 570%), and a BOLD signal was only detected outside the enlarged cavernoma.
CONCLUSION: The findings show that susceptibility effects associated with cavernoma, most likely due to hemosiderin deposition, can result in an apparent increase in the separation between the BOLD signal and the cavernoma itself. This could lead to falsely high levels of surgical confidence during neurosurgical resection. Differential patterns of blood flow associated with cavernoma and AVM do not appear to significantly affect the BOLD signal magnitude.

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Year:  2004        PMID: 15519860     DOI: 10.1016/j.jocn.2003.10.016

Source DB:  PubMed          Journal:  J Clin Neurosci        ISSN: 0967-5868            Impact factor:   1.961


  7 in total

1.  Characterizing the relationship between functional MRI-derived measures and clinical outcomes in patients with vascular lesions.

Authors:  Thomas A Gallagher; Veena A Nair; Michael F Regner; Brittany M Young; Andrew Radtke; Joshua Pankratz; Ryan L Holdsworth; Dovile Baniulis; Nicole K Kornder; Jed Voss; Benjamin P Austin; Chad Moritz; Elizabeth M Meyerand; Vivek Prabhakaran
Journal:  Neurosurg Focus       Date:  2013-04       Impact factor: 4.047

2.  A vascular-task response dependency and its application in functional imaging of brain tumors.

Authors:  Henning U Voss; Kyung K Peck; Nicole M Petrovich Brennan; Eduard L Pogosbekyan; Natalia E Zakharova; Artyom I Batalov; Igor N Pronin; Alexander A Potapov; Andrei I Holodny
Journal:  J Neurosci Methods       Date:  2019-04-13       Impact factor: 2.390

Review 3.  Emerging clinical imaging techniques for cerebral cavernous malformations: a systematic review.

Authors:  Peter G Campbell; Pascal Jabbour; Sanjay Yadla; Issam A Awad
Journal:  Neurosurg Focus       Date:  2010-09       Impact factor: 4.047

4.  Atypical language lateralization: an fMRI study in patients with cerebral lesions.

Authors:  Mohammad Fakhri; Mohammad Ali Oghabian; Faeze Vedaei; Ali Zandieh; Nina Masoom; Guive Sharifi; Mohammad Ghodsi; Kavous Firouznia
Journal:  Funct Neurol       Date:  2013 Jan-Mar

Review 5.  Management of cerebral cavernous malformations: from diagnosis to treatment.

Authors:  Nikolaos Mouchtouris; Nohra Chalouhi; Ameet Chitale; Robert M Starke; Stavropoula I Tjoumakaris; Robert H Rosenwasser; Pascal M Jabbour
Journal:  ScientificWorldJournal       Date:  2015-01-05

6.  Functional MRI-guided microsurgery of intracranial arteriovenous malformations: study protocol for a randomised controlled trial.

Authors:  Bing Zhao; Yong Cao; Yuanli Zhao; Jun Wu; Shuo Wang
Journal:  BMJ Open       Date:  2014-10-23       Impact factor: 2.692

7.  New predictive model for microsurgical outcome of intracranial arteriovenous malformations: study protocol.

Authors:  Xianzeng Tong; Jun Wu; Yong Cao; Yuanli Zhao; Shuo Wang
Journal:  BMJ Open       Date:  2017-01-27       Impact factor: 2.692

  7 in total

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