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Neuromodulation ; 21(6): 574-581, 2018 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-29178240

RESUMEN

OBJECTIVES: The correct positioning of deep brain stimulation electrodes determines the success of surgery. In this study, we attempt to validate transcranial sonography (TCS) as a method for early postoperative confirmation of electrode location in the subthalamic nucleus (STN). MATERIALS AND METHODS: Nineteen patients diagnosed with Parkinson's disease were enrolled in the study. Postoperative TCS was applied to measure the distance between the implanted electrodes and the third ventricle in the axial plane. Whether the electrodes were positioned within or outside the substantia nigra (SN) was evaluated through measurements in the coronal plane. The obtained metrics through TCS were compared with those from postoperative computed tomography (CT) and magnetic resonance imaging (MRI). RESULTS: A statistically significant correlation between distances from electrode to third ventricle by TCS and CT/MRI (r = 0.75, p < 0.01) was observed. Distances from third ventricle to electrodes tips were different when sonographically they showed to be inside or outside the SN (p < 0.01). A cut-off value of 8.85mm in these distances was the most sensitive (100%) and specific (90.5%) to predict if electrodes were positioned inside the SN (CI 95% 0.81-10.30, p = 0.001). CONCLUSIONS: Transcranial sonography is a useful technique to reliably identify targeted positioning of deep brain stimulation electrodes in or out of the SN.


Asunto(s)
Estimulación Encefálica Profunda/métodos , Enfermedad de Parkinson/diagnóstico por imagen , Enfermedad de Parkinson/terapia , Núcleo Subtalámico/diagnóstico por imagen , Núcleo Subtalámico/fisiología , Ultrasonografía Doppler Transcraneal/métodos , Anciano , Estimulación Encefálica Profunda/instrumentación , Electrodos Implantados , Femenino , Humanos , Procesamiento de Imagen Asistido por Computador , Imagen por Resonancia Magnética , Masculino , Persona de Mediana Edad , Cuidados Posoperatorios , Curva ROC
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