Literature DB >> 9699076

Three-dimensional computer assisted magnetic resonance imaging for neurosurgical planning in parasagittal and parafalcine central region tumors.

J Burtscher1, C Kremser, M Seiwald, A Obwegeser, M Wagner, F Aichner, K Twerdy, S Felber.   

Abstract

Usually, conventional magnetic resonance spin echo images (MRI) are sufficient to establish the diagnosis of intracranial pathology. Planning and executing a neurosurgical procedure requires the ability of the neurosurgeon to transform these two-dimensional MRI into a three-dimensional (3-D) virtual image of the pathology and the surrounding neuronal anatomy. Such mentally performed transformations after sequential observation of the individual two-dimensional slices (i.e., MRI and angiography) may be virtual tasks that are very difficult or sometimes impossible to achieve. Using 3-D MRI data sets and a semiautomatic computer assisted segmentation technique, we tried to simulate intraoperative situs-based 3-D MRI reconstructions of parasagittal and parafalcine central region tumors. The MRI reconstructions were integrated into the neurosurgical planning procedure as an additional tool. They proved to be an important adjunct in determining the distinct anatomy of the intracranial pathology in its relation to the surrounding and overlying brain and vascular (especially venous) anatomy. With 10 patients with central region parasagittal and parafalcine tumors, we found that the 3-D MRI reconstructions revealed additional information compared to conventional cross-sectional images and had an influence on neurosurgical planning and strategy, improving neurosurgical performance and patient outcome.

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Year:  1998        PMID: 9699076     DOI: 10.1002/(SICI)1097-0150(1998)3:1<27::AID-IGS4>3.0.CO;2-N

Source DB:  PubMed          Journal:  Comput Aided Surg        ISSN: 1092-9088


  6 in total

1.  Virtual reality-based evaluation of neurovascular conflict for the surgical planning of microvascular decompression in trigeminal neuralgia patients.

Authors:  Samer Zawy Alsofy; Heinz Welzel Saravia; Makoto Nakamura; Christian Ewelt; Marc Lewitz; Ioanna Sakellaropoulou; Hraq Mourad Sarkis; Thomas Fortmann; Stephanie Schipmann; Eric Suero Molina; Antonio Santacroce; Asem Salma; Ralf Stroop
Journal:  Neurosurg Rev       Date:  2021-02-13       Impact factor: 3.042

2.  Guidance value of intracranial venous circulation evaluation to parasagittal meningioma operation.

Authors:  Shousen Wang; Jianbin Ying; Liangfeng Wei; Shiqing Li; Junjie Jing
Journal:  Int J Clin Exp Med       Date:  2015-08-15

Review 3.  Neurosurgical Virtual Reality Simulation for Brain Tumor Using High-definition Computer Graphics: A Review of the Literature.

Authors:  Taichi Kin; Hirofumi Nakatomi; Naoyuki Shono; Seiji Nomura; Toki Saito; Hiroshi Oyama; Nobuhito Saito
Journal:  Neurol Med Chir (Tokyo)       Date:  2017-06-22       Impact factor: 1.742

4.  Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI.

Authors:  Kai Roman Laukamp; Frank Thiele; Georgy Shakirin; David Zopfs; Andrea Faymonville; Marco Timmer; David Maintz; Michael Perkuhn; Jan Borggrefe
Journal:  Eur Radiol       Date:  2018-06-25       Impact factor: 5.315

5.  Impact of Virtual Reality in Arterial Anatomy Detection and Surgical Planning in Patients with Unruptured Anterior Communicating Artery Aneurysms.

Authors:  Samer Zawy Alsofy; Ioanna Sakellaropoulou; Makoto Nakamura; Christian Ewelt; Asem Salma; Marc Lewitz; Heinz Welzel Saravia; Hraq Mourad Sarkis; Thomas Fortmann; Ralf Stroop
Journal:  Brain Sci       Date:  2020-12-10

6.  Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique.

Authors:  Samer Zawy Alsofy; Makoto Nakamura; Ayman Suleiman; Ioanna Sakellaropoulou; Heinz Welzel Saravia; David Shalamberidze; Asem Salma; Ralf Stroop
Journal:  J Clin Med       Date:  2021-02-10       Impact factor: 4.241

  6 in total

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