Abstract

The precise location in the scalp of specifically planned points can help to achieve less invasive approaches. This study aims to develop a smartphone app, evaluate the precision and accuracy of the developed tool, and describe a series of cases using the referred technique. The application was developed with the React Native framework for Android and iOS. A phantom was printed based on the patient's CT scan, which was used for the calculation of accuracy and precision of the method. The points of interest were marked with an "x" on the patient's head, with the aid of the app and a compass attached to a skin marker pen. Then, two experienced neurosurgeons checked the plausibility of the demarcations based on the anatomical references. Both evaluators marked the frontal, temporal and parietal targets with a difference of less than 5 mm from the corresponding intended point, in all cases. The overall average accuracy observed was 1.6 ± 1.0 mm. The app was used in the surgical planning of trepanations for ventriculoperitoneal (VP) shunts and for drainage of abscesses, and in the definition of craniotomies for meningiomas, gliomas, brain metastases, intracranial hematomas, cavernomas, and arteriovenous malformation. The sample consisted of 88 volunteers who exhibited the following pathologies: 41 (46.6%) had brain tumors, 17 (19.3%) had traumatic brain injuries, 16 (18.2%) had spontaneous intracerebral hemorrhages, 2 (2.3%) had cavernomas, 1 (1.1%) had arteriovenous malformation (AVM), 4 (4.5%) had brain abscesses, and 7 (7.9%) had a VP shunt placement. In cases approached by craniotomy, with the exception of AVM, straight incisions and minicraniotomy were performed. Surgical planning with the aid of the NeuroKeypoint app is feasible and reliable. It has enabled neurological surgeries by craniotomy and trepanation in an accurate, precise, and less invasive manner.

Details

Title
Minimally invasive supratentorial neurosurgical approaches guided by Smartphone app and compass
Author
Fernandes de Oliveira Santos Bruno 1   VIAFID ORCID Logo  ; de Araujo Paz Daniel 2 ; Fernandes, Victor Miranda 3 ; dos Santos José Calasans 4 ; Chaddad-Neto Feres Eduardo Aparecido 2 ; Sousa Antonio Carlos Sobral 5 ; Oliveira Joselina Luzia Menezes 5 

 Federal University of Sergipe, Health Sciences Graduate Program, Aracaju, Brazil (GRID:grid.411252.1) (ISNI:0000 0001 2285 6801); Unimed Sergipe Hospital, Aracaju, Brazil (GRID:grid.411252.1); Clinic and Hospital São Lucas / Rede D`Or São Luiz, Aracaju, Brazil (GRID:grid.411252.1); Department of Neurosurgery, Hospital de Cirurgia, Aracaju, Brazil (GRID:grid.411252.1) 
 Department of Neurology and Neurosurgery, Universidade Federal de São Paulo, São Paulo, Brazil (GRID:grid.411249.b) (ISNI:0000 0001 0514 7202) 
 Federal University of Paraíba, João Pessoa, Brazil (GRID:grid.411216.1) (ISNI:0000 0004 0397 5145) 
 Unimed Sergipe Hospital, Aracaju, Brazil (GRID:grid.411216.1) 
 Federal University of Sergipe, Health Sciences Graduate Program, Aracaju, Brazil (GRID:grid.411252.1) (ISNI:0000 0001 2285 6801); Federal University of Sergipe, Department of Internal Medicine, Aracaju, Brazil (GRID:grid.411252.1) (ISNI:0000 0001 2285 6801); Federal University of Sergipe, Division of Cardiology, University Hospital, Aracaju, Brazil (GRID:grid.411252.1) (ISNI:0000 0001 2285 6801); Clinic and Hospital São Lucas / Rede D`Or São Luiz, Aracaju, Brazil (GRID:grid.411252.1) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2504629221
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.