Electrode Placement Accuracy in Robot-Assisted Asleep Deep Brain Stimulation.
David VanSickleVictoria VolkPatricia FreemanJamie HenryMeghan BaldwinClare K FitzpatrickPublished in: Annals of biomedical engineering (2019)
Deep brain stimulation (DBS) involves the implantation of electrodes into specific central brain structures for the treatment of Parkinson's disease. Image guidance and robot-assisted techniques have been developed to assist in the accuracy of electrode placement. Traditional DBS is performed with the patient awake and utilizes microelectrode recording for feedback, which yields lengthy operating room times. Asleep DBS procedures use imaging techniques to verify electrode placement. The objective of this study is to demonstrate the validity of an asleep robot-assisted DBS procedure that utilizes intraoperative imaging techniques for precise electrode placement in a large, inclusive cohort. Preoperative magnetic resonance imaging (MRI) was used to plan the surgical procedure for the 128 patients that underwent asleep DBS. During the surgery, robot assistance was used during the implantation of the electrodes. To verify electrode placement, intraoperative CT scans were fused with the preoperative MRIs. The mean radial error of all final electrode placements is 0.85 ± 0.38 mm. MRI-CT fusion error is 0.64 ± 0.40 mm. The average operating room time for bilateral and unilateral implantations are 139.3 ± 34.7 and 115.4 ± 42.1 min, respectively. This study shows the validity of the presented asleep DBS procedure using robot assistance and intraoperative CT verification for accurate electrode placement with shorter operating room times.
Keyphrases
- deep brain stimulation
- robot assisted
- minimally invasive
- contrast enhanced
- parkinson disease
- carbon nanotubes
- magnetic resonance imaging
- obsessive compulsive disorder
- computed tomography
- ultrasound guided
- solid state
- patients undergoing
- high resolution
- image quality
- dual energy
- end stage renal disease
- magnetic resonance
- newly diagnosed
- chronic kidney disease
- diffusion weighted imaging
- machine learning
- case report
- ejection fraction
- positron emission tomography
- coronary artery disease
- atrial fibrillation
- mass spectrometry
- photodynamic therapy
- coronary artery bypass
- fluorescence imaging