Literature DB >> 9296188

Cerebral arteriovenous malformations: the value of radiologic parameters in predicting response to radiosurgery.

J F Meder1, C Oppenheim, J Blustajn, F Nataf, L Merienne, D Lefkoupolos, A Laurent, J J Merland, M Schlienger, D Fredy.   

Abstract

PURPOSE: To define the morphological patterns of cerebral arteriovenous malformations (AVMs) that influence their response to radiosurgery at 2 years.
METHODS: We retrospectively reviewed the yearly MR and angiographic follow-up studies in 102 patients who had radiosurgical treatment for cerebral AVMs between 1990 and 1992. Parameters studied were maximum length and volume of the nidus, position relative to the midline, anatomic structures involved, sectional anatomic location (depth within the brain tissue), angioarchitecture, and Spetzler and Martin grading. Statistical analysis determined their influence on treatment results at 2 years.
RESULTS: Parameters that correlated with obliteration at 2 years were maximum length less than 25 mm, small volume, sectional location deep within brain tissue, and plexiform angioarchitecture. Ventricular and paraventricular locations correlated with nonobliteration at 2 years.
CONCLUSION: This study highlights the role of two new morphological parameters in predicting the efficiency of radiosurgery in the treatment of cerebral AVMs: depth within the parenchyma and angioarchitecture. It also emphasizes the usefulness of sectional imaging in the work-up before radiosurgery.

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Mesh:

Year:  1997        PMID: 9296188      PMCID: PMC8338141     

Source DB:  PubMed          Journal:  AJNR Am J Neuroradiol        ISSN: 0195-6108            Impact factor:   3.825


  9 in total

1.  Stereotactic radiosurgery for brain arteriovenous malformations: quantitative MR assessment of nidal response at 1 year and angiographic factors predicting early obliteration.

Authors:  S Nagaraja; K J Lee; S C Coley; D Capener; L Walton; A A Kemeny; I D Wilkinson; P D Griffiths
Journal:  Neuroradiology       Date:  2006-08-31       Impact factor: 2.804

Review 2.  Modern radiosurgical and endovascular classification schemes for brain arteriovenous malformations.

Authors:  Ali Tayebi Meybodi; Michael T Lawton
Journal:  Neurosurg Rev       Date:  2018-05-04       Impact factor: 3.042

3.  Three-dimensional dynamic MR digital subtraction angiography using sensitivity encoding for the evaluation of intracranial arteriovenous malformations: a preliminary study.

Authors:  Jean-Yves Gauvrit; Xavier Leclerc; Catherine Oppenheim; Thierry Munier; Denis Trystram; Henda Rachdi; François Nataf; Jean-Pierre Pruvo; Jean-François Meder
Journal:  AJNR Am J Neuroradiol       Date:  2005 Jun-Jul       Impact factor: 3.825

4.  Morbidity after Hemorrhage in Children with Untreated Brain Arteriovenous Malformation.

Authors:  Li Ma; Helen Kim; Xiao-Lin Chen; Chun-Xue Wu; Jun Ma; Hua Su; Yuanli Zhao
Journal:  Cerebrovasc Dis       Date:  2017-02-28       Impact factor: 2.762

5.  Neurovascular radiosurgery.

Authors:  M Söderman; W Y Guo; B Karlsson; D M Pelz; E Ulfarsson; T Andersson
Journal:  Interv Neuroradiol       Date:  2006-12-13       Impact factor: 1.610

6.  Periventricular Location as a Risk Factor for Hemorrhage and Severe Clinical Presentation in Pediatric Patients with Untreated Brain Arteriovenous Malformations.

Authors:  L Ma; Z Huang; X-L Chen; J Ma; X-J Liu; H Wang; X Ye; S-L Wang; Y Cao; S Wang; Y-L Zhao; J-Z Zhao
Journal:  AJNR Am J Neuroradiol       Date:  2015-06-18       Impact factor: 3.825

7.  Current surgical results with low-grade brain arteriovenous malformations.

Authors:  Matthew B Potts; Darryl Lau; Adib A Abla; Helen Kim; William L Young; Michael T Lawton
Journal:  J Neurosurg       Date:  2015-02-06       Impact factor: 5.115

8.  Pediatric brain arteriovenous malformation unfavorable hemorrhage risk: extrapolation to a morphologic model.

Authors:  Zongze Li; Li Ma; Chunxue Wu; Jun Ma; Xiaolin Chen
Journal:  Chin Neurosurg J       Date:  2018-07-02

Review 9.  Multimodal Treatment Strategy for Spetzler-Martin Grade III Arteriovenous Malformations of the Brain.

Authors:  Bikei Ryu; Tatsuya Ishikawa; Takakazu Kawamata
Journal:  Neurol Med Chir (Tokyo)       Date:  2016-05-11       Impact factor: 1.742

  9 in total

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