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

Anterior skull base meningiomas represent a wide cohort of tumors with different locations, extensions, configurations, and anatomical relationships. Diagnosis of these tumors and review of their therapies are inseparably connected with cranial imaging. We analyzed the influence of three-dimensional...

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Autores principales: Zawy Alsofy, Samer, Nakamura, Makoto, Suleiman, Ayman, Sakellaropoulou, Ioanna, Welzel Saravia, Heinz, Shalamberidze, David, Salma, Asem, Stroop, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916569/
https://www.ncbi.nlm.nih.gov/pubmed/33578799
http://dx.doi.org/10.3390/jcm10040681
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author Zawy Alsofy, Samer
Nakamura, Makoto
Suleiman, Ayman
Sakellaropoulou, Ioanna
Welzel Saravia, Heinz
Shalamberidze, David
Salma, Asem
Stroop, Ralf
author_facet Zawy Alsofy, Samer
Nakamura, Makoto
Suleiman, Ayman
Sakellaropoulou, Ioanna
Welzel Saravia, Heinz
Shalamberidze, David
Salma, Asem
Stroop, Ralf
author_sort Zawy Alsofy, Samer
collection PubMed
description Anterior skull base meningiomas represent a wide cohort of tumors with different locations, extensions, configurations, and anatomical relationships. Diagnosis of these tumors and review of their therapies are inseparably connected with cranial imaging. We analyzed the influence of three-dimensional-virtual reality (3D-VR) reconstructions versus conventional computed tomography (CT) and magnetic resonance imaging (MRI) images (two-dimensional (2D) and screen 3D) on the identification of anatomical structures and on the surgical planning in patients with anterior skull base meningiomas. Medical files were retrospectively analyzed regarding patient- and disease-related data. Preoperative 2D-CT and 2D-MRI scans were retrospectively reconstructed to 3D-VR images and visualized via VR software to detect the characteristics of tumors. A questionnaire of experienced neurosurgeons evaluated the influence of the VR visualization technique on identification of tumor morphology and relevant anatomy and on surgical strategy. Thirty patients were included and 600 answer sheets were evaluated. The 3D-VR modality significantly influenced the detection of tumor-related anatomical structures (p = 0.002), recommended head positioning (p = 0.005), and surgical approach (p = 0.03). Therefore, the reconstruction of conventional preoperative 2D scans into 3D images and the spatial and anatomical presentation in VR models enabled greater understanding of anatomy and pathology, and thus influenced operation planning and strategy.
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spelling pubmed-79165692021-03-01 Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique Zawy Alsofy, Samer Nakamura, Makoto Suleiman, Ayman Sakellaropoulou, Ioanna Welzel Saravia, Heinz Shalamberidze, David Salma, Asem Stroop, Ralf J Clin Med Article Anterior skull base meningiomas represent a wide cohort of tumors with different locations, extensions, configurations, and anatomical relationships. Diagnosis of these tumors and review of their therapies are inseparably connected with cranial imaging. We analyzed the influence of three-dimensional-virtual reality (3D-VR) reconstructions versus conventional computed tomography (CT) and magnetic resonance imaging (MRI) images (two-dimensional (2D) and screen 3D) on the identification of anatomical structures and on the surgical planning in patients with anterior skull base meningiomas. Medical files were retrospectively analyzed regarding patient- and disease-related data. Preoperative 2D-CT and 2D-MRI scans were retrospectively reconstructed to 3D-VR images and visualized via VR software to detect the characteristics of tumors. A questionnaire of experienced neurosurgeons evaluated the influence of the VR visualization technique on identification of tumor morphology and relevant anatomy and on surgical strategy. Thirty patients were included and 600 answer sheets were evaluated. The 3D-VR modality significantly influenced the detection of tumor-related anatomical structures (p = 0.002), recommended head positioning (p = 0.005), and surgical approach (p = 0.03). Therefore, the reconstruction of conventional preoperative 2D scans into 3D images and the spatial and anatomical presentation in VR models enabled greater understanding of anatomy and pathology, and thus influenced operation planning and strategy. MDPI 2021-02-10 /pmc/articles/PMC7916569/ /pubmed/33578799 http://dx.doi.org/10.3390/jcm10040681 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zawy Alsofy, Samer
Nakamura, Makoto
Suleiman, Ayman
Sakellaropoulou, Ioanna
Welzel Saravia, Heinz
Shalamberidze, David
Salma, Asem
Stroop, Ralf
Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique
title Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique
title_full Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique
title_fullStr Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique
title_full_unstemmed Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique
title_short Cerebral Anatomy Detection and Surgical Planning in Patients with Anterior Skull Base Meningiomas Using a Virtual Reality Technique
title_sort cerebral anatomy detection and surgical planning in patients with anterior skull base meningiomas using a virtual reality technique
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7916569/
https://www.ncbi.nlm.nih.gov/pubmed/33578799
http://dx.doi.org/10.3390/jcm10040681
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