Focused ultrasound capsulotomy: predicting the probability of successful lesioning based on skull morphology

SDR, skull thickness, and angle of incidence significantly influenced the likelihood of successful MRgFUS-AC lesioning. Incorporating these three parameters into a predictive tool can dramatically reduce technical failure rates and may be especially informative in patients with an SDR between 0.35 and 0.55.

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Publication Details

Journal
Journal of neurosurgery
Published
2025-10-11
DOI
https://doi.org/10.3171/2025.6.jns2588
Citations
1
Primary Topic
Herpesvirus Infections and Treatments
Type
article
Field-Weighted Citation Impact
1.35
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article

Focused ultrasound capsulotomy: predicting the probability of successful lesioning based on skull morphology

Benjamin Davidson, Ryan M. Jones, Maged Goubran, Xingshan Cao et al.
1 citations
Journal of neurosurgery
Herpesvirus Infections and Treatments
1.35
article

Focused ultrasound capsulotomy: predicting the probability of successful lesioning based on skull morphology

Benjamin Davidson, Ryan M. Jones, Maged Goubran, Xingshan Cao, Clement Hamani, Nir Lipsman, Emmanuel De Schlichting, Yuexi Huang, Kullervo Hynynen, Anusha Baskaran, Ying Meng
article en
1 citations

Abstract

SDR, skull thickness, and angle of incidence significantly influenced the likelihood of successful MRgFUS-AC lesioning. Incorporating these three parameters into a predictive tool can dramatically reduce technical failure rates and may be especially informative in patients with an SDR between 0.35 and 0.55.

Journal of neurosurgeryVol. 144(1)
Sunnybrook Health Science Centre (CA), University of Toronto (CA), Health Sciences Centre (CA), Sunnybrook Hospital (CA), Sunnybrook Research Institute, Institute of Medical Sciences (IN)
Openalex Percentile: Top 15%
Herpesvirus Infections and Treatments
1.35
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Focused ultrasound capsulotomy: predicting the probability of successful lesioning based on skull morphology — Benjamin Davidson, Ryan M. Jones, et al. · Journal of neurosurgery (2025) | TGRS Research Map | TGRS