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Virtual preoperative planning and 3D tumoral reconstruction with Horos open-source software

Articolo
Data di Pubblicazione:
2023
Abstract:
Background: Presurgical three-dimensional (3D) reconstructions allow spatial localization of cerebral lesions and their relationship with adjacent anatomical structures for optimal surgical resolution. The purpose of the present article is to present a method of virtual preoperative planning aiming to enhance 3D comprehension of neurosurgical pathologies using free DICOM image viewers. Case description: We describe the virtual presurgical planning of a 61-year-old female presenting a cerebral tumor. 3D reconstructions were created with the "HorosĀ®" Digital Imaging and Communications in Medicine viewer, utilizing images obtained from contrast-enhanced brain magnetic resonance imaging and computed tomography. The tumor and adjacent relevant structures were identified and delimited. A sequential virtual simulation of the surgical stages for the approach was performed with the identification of local gyral and vascular patterns of the cerebral surface for posterior intraoperative recognition. Through virtual simulation, an optimal approach was gained. Accurate localization and complete removal of the lesion were achieved during the surgical procedure. Virtual presurgical planning with open-source software can be utilized for supratentorial pathologies in both urgent and elective cases. Virtual recognition of vascular and cerebral gyral patterns is helpful reference points for intraoperative localization of lesions lacking cortical expression, allowing less invasive corticotomies. Conclusion: Digital manipulation of cerebral structures can increase anatomical comprehension of neurosurgical lesions to be treated. 3D interpretation of neurosurgical pathologies and adjacent anatomical structures is essential for developing an effective and safe surgical approach. The described technique is a feasible and accessible option for presurgical planning.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
Neuro-oncology; Simulation; Surgical planning; Three-dimensional reconstruction; Virtual reality
Elenco autori:
Pipolo, Derek O; Luzzi, Sabino; Baldoncini, Matias; Di Pietrantonio, Andres; Brennan, Walter; Asmus, Humberto; Miyara, Santiago J; Lucifero, Alice Giotta; Campero, Alvaro
Autori di Ateneo:
LUZZI SABINO
Link alla scheda completa:
https://iris.unipv.it/handle/11571/1476959
Pubblicato in:
SURGICAL NEUROLOGY INTERNATIONAL
Journal
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