Clinical Application of an Open-Source 3D Volume Rendering Software to Neurosurgical Approaches

• Published in: World neurosurgery Vol. 110; pp. e864 - e872
• Main Authors: Fernandes de Oliveira Santos, Bruno, Silva da Costa, Marcos Devanir, Centeno, Ricardo Silva, Cavalheiro, Sergio, Antônio de Paiva Neto, Manoel, Lawton, Michael T., Chaddad-Neto, Feres
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01-02-2018
• Subjects: Computer-assisted neurosurgical procedure; Neuronavigation; Open-source software; Supratentorial neoplasm; 3D; SD; 2D; MRI; Neuronavigation; Open-source software; Supratentorial neoplasm; US; Computer-assisted neurosurgical procedure
• ISSN: 1878-8750; 1878-8769
• DOI: 10.1016/j.wneu.2017.11.123

Preoperative recognition of the anatomic individualities of each patient can help to achieve more precise and less invasive approaches. It also may help to anticipate potential complications and intraoperative difficulties. Here we describe the use, accuracy, and precision of a free tool for planning microsurgical approaches using 3-dimensional (3D) reconstructions from magnetic resonance imaging (MRI).
We used the 3D volume rendering tool of a free open-source software program for 3D reconstruction of images of surgical sites obtained by MRI volumetric acquisition. We recorded anatomic reference points, such as the sulcus and gyrus, and vascularization patterns for intraoperative localization of lesions. Lesion locations were confirmed during surgery by intraoperative ultrasound and/or electrocorticography and later by postoperative MRI.
Between August 2015 and September 2016, a total of 23 surgeries were performed using this technique for 9 low-grade gliomas, 7 high-grade gliomas, 4 cortical dysplasias, and 3 arteriovenous malformations. The technique helped delineate lesions with an overall accuracy of 2.6 ± 1.0 mm. 3D reconstructions were successfully performed in all patients, and images showed sulcus, gyrus, and venous patterns corresponding to the intraoperative images. All lesion areas were confirmed both intraoperatively and at the postoperative evaluation.
With the technique described herein, it was possible to successfully perform 3D reconstruction of the cortical surface. This reconstruction tool may serve as an adjunct to neuronavigation systems or may be used alone when such a system is unavailable.