Essential Tremor Clinical Trial
Official title:
Probabilistic Determination of the Ventro-intermediate Nucleus of the Thalamus (VIM) Coordinates From Radio-anatomical Landmarks on 1.5 Tesla MRI
After having included the most improved patients by DBS among those implanted in Bordeaux Hospital University, and having defined the most active plots on tremor by its prospective grading on Fahn-Tolosa-Marin (FTM) scale and accelerometry, coordinates of active plots and landmarks will be calculated on post-operative imaging. Association between landmarks and active plots coordinates will be modelled with machine-learning algorithms. The aim is to retrieve the position of the VIM on the basis of the landmarks coordinates.
The intermedius ventralis nucleus of the thalamus (VIM), which represents the target for deep brain stimulation (DBS) in essential tremor, still remains invisible to imaging in spite of the development of new MR sequences. The coordinates currently used in the classical (ACPC) system are so imprecise that per-operative electrophysiology is mandatory to locate the exact position of this target. Micro-electrode recordings (MER) however improve hemorrhagic risk and may be poorly tolerated by patients operated on 7 to 8 hours under local anaesthesia. Based on litterature review, no one tried to retrieve the position of the VIM from anatomical landmarks coordinates in the era of MRI. The patients operated will be clinically tested to define those very well improved by the stimulation. Stimulation efficacy will be assessed by comparing the clinical evaluation (FTM scale) with and without stimulation, and the four contacts of each electrode will be tested clinically, with an accelerometer and an electromyography to determine which one is the most active on tremor. Coordinates of the anatomical landmarks will be calculated on the pre-operative MRI and those of the active plots on the fusion between post-operative CT-scan and pre-operative MRI. These coordinates will be analysed by machine-learning algorithms to create a model predicting the position of the active contacts from the coordinates of the landmarks. ;
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