Literature DB >> 7808600

Stereotactic magnetic resonance angiography for targeting in arteriovenous malformation radiosurgery.

D Kondziolka1, L D Lunsford, E Kanal, L Talagala.   

Abstract

Because conventional stereotactic angiography provides only two-dimensional information for dose planning, we studied the accuracy and usefulness of stereotactic magnetic resonance angiography (sMRA) for arteriovenous malformation (AVM) radiosurgery in 28 consecutive patients. We hypothesized that the multidimensional data set provided by sMRA and the opportunity to image both blood vessels and brain parenchyma would improve the accuracy of AVM irradiation and improve the safety of radiosurgery. Twenty-eight patients with AVMs in different brain locations and with a variety of AVM sizes (range, 15-31 mm mean diameter) had sMRA followed by stereotactic angiography. The sMRA images only were used to construct an initial radiosurgical plan. This plan was then used to outline the AVM volume defined by conventional angiography. In 24 patients, sMRA information equaled that of conventional angiography. In 3 patients, sMRA was better, because conventional angiography overestimated the size of the AVM nidus. In one patient, the conventional angiogram showed a second separate nidus (10-mm diameter) that was not as well defined on MRA. There were no complications with any procedure. In 16 patients (57%), sMRA provided critical information on AVM shape that was not provided by conventional angiography alone. Stereotactic MRA is a fast, noninvasive, inexpensive, multidimensional imaging method for AVM radiosurgery that provides information on vascular and parenchymal brain anatomy important for optimal dose planning. We believe that it can be used with confidence as the sole imaging method for medium-size, compact-nidus AVMs.

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Year:  1994        PMID: 7808600     DOI: 10.1227/00006123-199410000-00002

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


  7 in total

1.  Contrast-enhanced MRA for investigation of cerebral arteriovenous malformations.

Authors:  M Suzuki; O Matsui; K Kobayashi; F Ueda; C Saitoh; A Katagiri; J Sanada; M Tawara; N Terayama; H Kawashima; S Kida; J Yamashita
Journal:  Neuroradiology       Date:  2003-03-01       Impact factor: 2.804

2.  Radiosurgical management of pediatric arteriovenous malformations.

Authors:  Douglas Kondziolka; Hideyuki Kano; Huai-che Yang; John C Flickinger; L Lunsford
Journal:  Childs Nerv Syst       Date:  2010-07-06       Impact factor: 1.475

3.  Simultaneous dual vessel cerebral angiography in gamma knife planning.

Authors:  Seth S Joseffer; Paul P Huang; P Kim Nelson
Journal:  AJNR Am J Neuroradiol       Date:  2003-02       Impact factor: 3.825

4.  Use of cone-beam computed tomography angiography in planning for gamma knife radiosurgery for arteriovenous malformations: a case series and early report.

Authors:  Mina G Safain; Jason P Rahal; Ami Raval; Mark J Rivard; John E Mignano; Julian K Wu; Adel M Malek
Journal:  Neurosurgery       Date:  2014-06       Impact factor: 4.654

5.  Early surgical treatment of intracerebral hemorrhages caused by AVM: our experience in 10 cases.

Authors:  F Puzzilli; L Mastronardi; A Ruggeri; P Lunardi
Journal:  Neurosurg Rev       Date:  1998       Impact factor: 3.042

6.  Gamma Knife Radiosurgery for Arteriovenous Malformations Using a Four-Dimensional Dynamic Volume Computed Tomography Angiography Planning System as an Alternative to Traditional Catheter Angiogram.

Authors:  Christopher P Cifarelli; John A Vargo; Todd Tenenholz; Joshua D Hack; Grenaville Guthrie; Jeffrey S Carpenter
Journal:  Cureus       Date:  2018-06-11

7.  Automated segmentation of multiparametric magnetic resonance images for cerebral AVM radiosurgery planning: a deep learning approach.

Authors:  Aaron B Simon; Brian Hurt; Roshan Karunamuni; Gwe-Ya Kim; Vitali Moiseenko; Scott Olson; Nikdokht Farid; Albert Hsiao; Jona A Hattangadi-Gluth
Journal:  Sci Rep       Date:  2022-01-17       Impact factor: 4.379

  7 in total

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