Abstract
Purpose
Deep brain stimulation (DBS) relies on precise targeting of key structures such as the subthalamic nucleus (STN) for Parkinson’s disease (PD) and the ventro-intermedius nucleus of the thalamus (Vim) for essential tremor (ET). Segmentation software, such as GuideXT© and Suretune©, are commercially available for atlas-based identification of deep brain structures. However, no study has compared the concordance of the segmentation results between the two software.
Methods
We retrospectively compared the concordance of segmentation of GuideXT© and Suretune© software by comparing the position of the segmented key structures with clinically predicted targets obtained using the newly developed RebrAIn© software as a reference.
Results
We targeted the STN in 44 MRI from PD patients (88 hemispheres) and the Vim in 31 MRI from ET patients (62 hemispheres) who were elected for DBS. In 22 STN targeting (25%), the target positioning was not correlating between GuideXT© and Suretune©. Regarding the Vim, targets were located in the segmented Vim in 37%, the posterior subthalamic area (PSA) in 60%, and the STN in 3% of the cases using GuideXT©; the proportions were 34%, 60%, and 6%, respectively, using Suretune©. The mean distance from the centre of the RebrAIn© targeting to the segmented Vim by Suretune© was closer (0.64 mm) than with GuideXT© (0.96 mm; p = 0.0004).
Conclusion
While there is some level of concordance in the segmentation results of key structures for DBS treatment among software models, differences persist. Therefore, such software should still be considered as tools and should not replace clinician experience in DBS planning.
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Data availability
The datasets generated and analysed in this study are available from the corresponding author upon reasonable request.
Code availability
Not applicable.
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Funding
This research was funded using the funds dedicated to research of the Department of Neurosurgery of Bordeaux University Hospital.
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Contributions
Conception and design: Emmanuel Cuny.
Acquisition of samples and data: Emmanuel Cuny.
Analysis and interpretation of data: Paul Constanthin, Emmanuel Cuny, Julien Engelhardt, Nejib Zemzemi.
Statistical analysis: Paul Constanthin.
Drafting of the article: Paul Constanthin.
Critically revision of the article: all authors.
Study supervision: Emmanuel Cuny, Julien Engelhardt.
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This research was carried out in compliance with the Declaration of Helsinki and was approved by the Institutional Review Board of the Collège de Neurochirurgie (IRB00011687 Collège de Neurochirurgie #1:2023/05). Written informed consent was obtained from participants (or their legal guardian) to participate in the study. All patients were over 18 years of age.
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EC and NZ are shareholders and co-founders of the startup RebrAIn. The other authors report no conflicts of interest concerning the materials or methods used in this study or the findings presented in this paper.
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Constanthin, P.E., Zemzemi, N., Cuny, E. et al. Comparison of two segmentation software tools for deep brain stimulation of the subthalamic and ventro-intermedius nuclei. Acta Neurochir 165, 3397–3402 (2023). https://doi.org/10.1007/s00701-023-05819-9
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DOI: https://doi.org/10.1007/s00701-023-05819-9