Microelectrode Recordings Validate the Clinical Visualization of Subthalamic-Nucleus Based on 7T Magnetic Resonance Imaging and Machine Learning for Deep Brain Stimulation Surgery
| Autor: | Noam Harel, Zvi Israel, Jerrold L. Vitek, Reuben R. Shamir, Guillermo Sapiro, Ruth Eliahou, Hagai Bergman, Jinyoung Kim, Renana Eitan, Odeya Marmor, Yuval Duchin, Remi Patriat, Atira S. Bick |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Male
Deep brain stimulation medicine.medical_treatment Deep Brain Stimulation Neuroimaging Surgical planning Machine Learning 03 medical and health sciences 0302 clinical medicine Subthalamic Nucleus medicine Medical imaging Humans Aged medicine.diagnostic_test business.industry Magnetic resonance imaging Parkinson Disease Middle Aged Magnetic Resonance Imaging Visualization nervous system diseases Subthalamic nucleus Microelectrode surgical procedures operative Research—Human—Clinical Studies nervous system 030220 oncology & carcinogenesis Surgery Female Neurology (clinical) business therapeutics Microelectrodes 030217 neurology & neurosurgery Deep brain stimulation surgery Biomedical engineering |
| Popis: | BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is a proven and effective therapy for the management of the motor symptoms of Parkinson's disease (PD). While accurate positioning of the stimulating electrode is critical for success of this therapy, precise identification of the STN based on imaging can be challenging. We developed a method to accurately visualize the STN on a standard clinical magnetic resonance imaging (MRI). The method incorporates a database of 7-Tesla (T) MRIs of PD patients together with machine-learning methods (hereafter 7 T-ML). OBJECTIVE: To validate the clinical application accuracy of the 7 T-ML method by comparing it with identification of the STN based on intraoperative microelectrode recordings. METHODS: Sixteen PD patients who underwent microelectrode-recordings guided STN DBS were included in this study (30 implanted leads and electrode trajectories). The length of the STN along the electrode trajectory and the position of its contacts to dorsal, inside, or ventral to the STN were compared using microelectrode-recordings and the 7 T-ML method computed based on the patient's clinical 3T MRI. RESULTS: All 30 electrode trajectories that intersected the STN based on microelectrode-recordings, also intersected it when visualized with the 7 T-ML method. STN trajectory average length was 6.2 ± 0.7 mm based on microelectrode recordings and 5.8 ± 0.9 mm for the 7 T-ML method. We observed a 93% agreement regarding contact location between the microelectrode-recordings and the 7 T-ML method. CONCLUSION: The 7 T-ML method is highly consistent with microelectrode-recordings data. This method provides a reliable and accurate patient-specific prediction for targeting the STN. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|