Literature DB >> 28289757

Optimization of the Surgical Approach in AVMs Using MRI and 4D DSA Fusion Technique : A technical note.

S Tritt1, B Ommer2, S Gehrisch3, S Klein3, V Seifert4, J Berkefeld2, J Konczalla4.   

Abstract

PURPOSE: Previously published data demonstrated the possibility of displaying the angioarchitecture of intracranial vascular malformations using time-resolved 3D imaging (4D digital subtraction angiography [DSA]). The purpose of our study was to prove the technical feasibility of creating fused images of time-resolved 3D reconstructions and MPRAGE MRI data sets and to check the reliability of the correct anatomical display of the angioma nidus and the venous drainage in the fused images of patients with intracranial arteriovenous malformations (AVM). PATIENTS AND METHODS: In this study 20 patients with intracranial AVM underwent pretherapeutic DSA and time-resolved 3D DSA in addition to MRI including MPRAGE sequences. The images were post-processed with the fusion software tool on a dedicated research workstation. The fusion of both imaging modalities was done semi-automatically with automatic co-registration software followed by a manual co-registration.
RESULTS: Co-registered DSA/MRI data sets of 20 untreated AVMs were evaluated independently by two reviewers. Image fusion was successful in all 20 cases with an acceptable additional set-up time. The fused images were highly scored by the two raters in respect to their congruency of the dedicated regions. Precise anatomical localization of the nidus, the feeding arteries and the draining veins were possible with the merged images.
CONCLUSION: Creating fused images of time-resolved 3D DSA and contrast-enhanced T1-weighted MPRAGE MR images might be beneficial for the preoperative and intrasurgical workflow in patients with AVMs. This new software tool fulfils the required quality and accuracy of the merged images. The clinical validation has to be proven in further studies.

Entities:  

Keywords:  4D DSA; Arteriovenous malformation; Fused images; MRI

Mesh:

Year:  2017        PMID: 28289757     DOI: 10.1007/s00062-017-0571-2

Source DB:  PubMed          Journal:  Clin Neuroradiol        ISSN: 1869-1439            Impact factor:   3.649


  15 in total

1.  Evaluation of cerebral arteriovenous malformations using image fusion combining three-dimensional digital subtraction angiography with magnetic resonance imaging.

Authors:  Hidenori Suzuki; Hiroaki Maki; Waro Taki
Journal:  Turk Neurosurg       Date:  2012       Impact factor: 1.003

2.  A novel image fusion visualizes the angioarchitecture of the perforating arteries in the brain.

Authors:  Shigetoshi Shimizu; Hidenori Suzuki; Hiroaki Maki; Masayuki Maeda; Fumitaka Miya; Karim Benali; Yves Trousset; Waro Taki
Journal:  AJNR Am J Neuroradiol       Date:  2003 Nov-Dec       Impact factor: 3.825

3.  Visualization of intracranial vessel anatomy using high resolution MRI and a simple image fusion technique.

Authors:  C Nasel
Journal:  Eur J Radiol       Date:  2005-04       Impact factor: 3.528

4.  4D DSA a new technique for arteriovenous malformation evaluation: a feasibility study.

Authors:  Carolina Sandoval-Garcia; Kevin Royalty; Pengfei Yang; David Niemann; Azam Ahmed; Beverly Aagaard-Kienitz; Mustafa K Başkaya; Sebastian Schafer; Charles Strother
Journal:  J Neurointerv Surg       Date:  2015-01-12       Impact factor: 5.836

Review 5.  Treatment guidelines for cerebral arteriovenous malformation microsurgery.

Authors:  Robert M Starke; Ricardo J Komotar; Brian Y Hwang; Laura E Fischer; Matthew C Garrett; Marc L Otten; E Sander Connolly
Journal:  Br J Neurosurg       Date:  2009-08       Impact factor: 1.596

6.  Improving workflows of neuro-interventional procedures with autostereoscopic 3D visualization of multi-modality imaging in hybrid interventional suites.

Authors:  J Perhac; J Spaltenstein; V M Pereira; K Schaller; O Brina; I Cabrilo; O Ratib
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-08-02       Impact factor: 2.924

7.  Assessment of 3D-TOF-MRA at 3.0 Tesla in the characterization of the angioarchitecture of cerebral arteriovenous malformations: a preliminary study.

Authors:  J O Heidenreich; A M Schilling; F Unterharnscheidt; R Stendel; S Hartlieb; F K Wacker; P Schlattmann; K-J Wolf; H Bruhn
Journal:  Acta Radiol       Date:  2007-07       Impact factor: 1.990

8.  Role of image fusion combining three-dimensional digital subtraction angiography with magnetic resonance imaging in evaluation of unruptured cerebral aneurysms.

Authors:  Hidenori Suzuki; Shigetoshi Shimizu; Hiroaki Maki; Masayuki Maeda; Hiroshi Sakaida; Yves Trousset; Waro Taki
Journal:  Neurol Res       Date:  2007-01       Impact factor: 2.448

9.  The effects of diffuseness and deep perforating artery supply on outcomes after microsurgical resection of brain arteriovenous malformations.

Authors:  Rose Du; H Michael Keyoung; Christopher F Dowd; William L Young; Michael T Lawton
Journal:  Neurosurgery       Date:  2007-04       Impact factor: 4.654

10.  Multimodal angiographic assessment of cerebral arteriovenous malformations: a pilot study.

Authors:  Raphaël Blanc; Aude Seiler; Thomas Robert; Humain Baharvahdat; Maxime Lafarge; Julien Savatovsky; Jérôme Hodel; Gabriele Ciccio; Dorian Chauvet; Silvia Pistocchi; Bruno Bartolini; Hocine Redjem; Michel Piotin
Journal:  J Neurointerv Surg       Date:  2014-10-03       Impact factor: 5.836

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  6 in total

1.  Fusion Image Guidance for Supra-Aortic Vessel Catheterization in Neurointerventions: A Feasibility Study.

Authors:  A Feddal; S Escalard; F Delvoye; R Fahed; J P Desilles; K Zuber; H Redjem; J S Savatovsky; G Ciccio; S Smajda; M Ben Maacha; M Mazighi; M Piotin; R Blanc
Journal:  AJNR Am J Neuroradiol       Date:  2020-08-20       Impact factor: 3.825

2.  Prof. Dr. F. E. Zanella-A Training and Development Mentor in Neuroradiology.

Authors:  H Lanfermann; R D de Rochemont; J Berkefeld
Journal:  Clin Neuroradiol       Date:  2017-12       Impact factor: 3.649

3.  4D Flat Panel Conebeam CTA for Analysis of the Angioarchitecture of Cerebral AVMs with a Novel Software Prototype.

Authors:  F Keil; A Bergkemper; A Birkhold; M Kowarschik; S Tritt; J Berkefeld
Journal:  AJNR Am J Neuroradiol       Date:  2022-01       Impact factor: 3.825

4.  Virtual 2D angiography from four-dimensional digital subtraction angiography (4D-DSA): A feasibility study.

Authors:  Jay F Yu; Leland Pung; Hataka Minami; Kerstin Mueller; Rajkamal Khangura; Robert Darflinger; Steven W Hetts; Daniel L Cooke
Journal:  Interv Neuroradiol       Date:  2020-09-26       Impact factor: 1.610

Review 5.  Systematic review of brain arteriovenous malformation grading systems evaluating microsurgical treatment recommendation.

Authors:  Basil E Grüter; Wenhua Sun; Jorn Fierstra; Luca Regli; Menno R Germans
Journal:  Neurosurg Rev       Date:  2021-01-27       Impact factor: 3.042

6.  Diagnostic accuracy of three-dimensional-rotational angiography and heavily T2-weighted volumetric magnetic resonance fusion imaging for the diagnosis of spinal arteriovenous shunts.

Authors:  Bikei Ryu; Shinsuke Sato; Masayuki Takase; Tatsuki Mochizuki; Shogo Shima; Tatsuya Inoue; Yoshikazu Okada; Yasunari Niimi
Journal:  J Neurointerv Surg       Date:  2021-03-04       Impact factor: 5.836

  6 in total

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