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Neuronavigated Ultrasound in Neuro-Oncology: A True Real-Time Intraoperative Image

Authors :
Laura Salgado-Lopez
Juan Diego Patino Alvarado
María Jesús Álvarez Holzapfel
Juan Ángel Aibar-Durán
Rodrigo Rodríguez
Cristian de Quintana-Schmidt
Carlos Asencio Cortés
Joan Molet Teixido
Source :
World Neurosurgery. 157:e316-e326
Publication Year :
2022
Publisher :
Elsevier BV, 2022.

Abstract

OBJECTIVE Ultrasound is considered a real-time imaging method in neuro-oncology because of its highly rapid image acquisition time. However, to our knowledge, there are no studies that analyze the additional surgical time that it requires. METHODS A prospective study of 100 patients who underwent intra-axial brain tumor resection with navigated intraoperative ultrasound. The primary outcomes were lesion visibility grade on ultrasound and concordance with preoperative magnetic resonance imaging (MRI) scan, intraoperative ultrasound usage time, and percentage of tumor resection on ultrasound and comparison with postoperative MRI scan. RESULTS The breakdown of patients included the following: 53 high-grade gliomas, 26 metastases, 14 low-grade gliomas, and 7 others. Ninety-six percent of lesions were clearly visualized. The tumor border was clearly delimited in 71%. Concordance with preoperative MRI scan was 78% (P < 0.001). The mean time ± SD for sterile covering of the probe was 2.16 ± 0.5 minutes, and the mean image acquisition time was 2.49 ± 1.26 minutes. Insular tumor location, low-grade glioma, awake surgery, and recurrent tumor were statistically associated with an increased ultrasound usage time. Ultrasound had a sensitivity of 94.4% and a specificity of 100% for residual tumor detection. CONCLUSIONS Neuronavigated ultrasound can be considered a truly real-time intraoperative imaging method because it does not increase surgical time significantly and provides optimal visualization of intra-axial brain lesions and residual tumor.

Details

ISSN :
18788750
Volume :
157
Database :
OpenAIRE
Journal :
World Neurosurgery
Accession number :
edsair.doi.dedup.....ae05a6f9a824ec3ca65ee31064a7f7de