Abstract #0133

Clinically Feasible Patient-Specific Targeting Method for Improved Quality-of-Life Outcomes from MRgFUS Treatment of Essential Tremor

Anjali Datta¹, Gustavo Chau Loo Kung², Kristin Quah³, Daniel Barbosa⁴, Chelsea Li⁵, David Purger⁵, Allan Wang⁵, Yosefi Chodakiewitz¹, Pejman Ghanouni¹, Vivek Buch⁵, and Jennifer McNab¹

¹Radiology, Stanford University, Stanford, CA, United States, ²Bioengineering, Stanford University, Stanford, CA, United States, ³Electrical Engineering, Stanford University, Stanford, CA, United States, ⁴Neurosurgery, University of Pennsylvania, Philadelphia, PA, United States, ⁵Neurosurgery, Stanford University, Stanford, CA, United States

Synopsis

Keywords: Data Analysis, Tractography & Fibre Modelling, Neurosurgical TargetingMRI-guided focused-ultrasound (MRgFUS) is an FDA-approved treatment for essential tremor. Unfortunately, the target to be ablated cannot be directly visualized on standard imaging, and its location varies interindividually. Since suboptimal lesion location can lead to side effects that impair quality of life, a method that locates personalized ablative targets that correlate with better quality-of-life outcomes (and not just with tremor reduction) could provide significant benefit. We present a clinically-feasible patient-specific probabilistic-tractography-based method for personalized targeting of MRgFUS treatment and show that similarity between the target it generates and the ablated lesion predicts QoL outcome in a dataset of 36 patients.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.