Background: Over the years, most of the deep brain stimulation (DBS) complications described have been mainly related to the surgery itself or the stimulation. Only a few authors have dealt with chronic complications or complications due to implanted material.
Methods: We retrospectively analyzed complications beyond the 1st month after surgery in 249 patients undergoing DBS at our site for 16 years, with 321 interventions overall.
Results: Our results show that infection is the most frequent delayed complication (12.5%), the pulse generator being the most common location. Lead breaks (9.3%) are the second most frequent complication. Symptomatic peri-lead edema and cyst formation were exceptional.
Conclusions: The best knowledge about DBS complications allows for better solutions. In case of infection, conservative treatment or partial removal of the DBS system appears to be safe and reasonable. Intracranial complications related to DBS material such as peri-lead edema and cyst formation have a good prognosis. They may appear long after DBS implantation.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s00701-017-3252-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Hierarchically Engineered Self-Adaptive Nanoplatform Guided Intuitive and Precision Interventions for Deep-Seated Glioblastoma.
ACS Nano
January 2025
Shanghai Frontiers Science Center of Drug Target Identification and Delivery, School of Pharmaceutical Sciences, Shanghai Jiao Tong University, Shanghai 200240, China.
Glioblastoma multiforme (GBM), particularly the deep-seated tumor where surgical removal is not feasible, poses great challenges for clinical treatments due to complicated biological barriers and the risk of damaging healthy brain tissue. Here, we hierarchically engineer a self-adaptive nanoplatform (SAN) that overcomes delivery barriers by dynamically adjusting its structure, surface charge, particle size, and targeting moieties to precisely distinguish between tumor and parenchyma cells. We further devise a AN-uided ntuitive and recision ntervention (SGIPi) strategy which obviates the need for sophisticated facilities, skilled operations, and real-time magnetic resonance imaging (MRI) guidance required by current MRI-guided laser or ultrasound interventions.
View Article and Find Full Text PDFExplainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images.
Sci Rep
January 2025
Department of Electronics, Information and Communication Engineering, Kangwon National University, Samcheok, Republic of Korea.
Detecting brain tumours (BT) early improves treatment possibilities and increases patient survival rates. Magnetic resonance imaging (MRI) scanning offers more comprehensive information, such as better contrast and clarity, than any alternative scanning process. Manually separating BTs from several MRI images gathered in medical practice for cancer analysis is challenging and time-consuming.
View Article and Find Full Text PDFA review of deep learning for brain tumor analysis in MRI.
NPJ Precis Oncol
January 2025
Athinoula A. Martinos Center for Biomedical Imaging, 149 13th St, Charlestown, MA, 02129, USA.
Recent progress in deep learning (DL) is producing a new generation of tools across numerous clinical applications. Within the analysis of brain tumors in magnetic resonance imaging, DL finds applications in tumor segmentation, quantification, and classification. It facilitates objective and reproducible measurements crucial for diagnosis, treatment planning, and disease monitoring.
View Article and Find Full Text PDFRadiological markers of CSF α-synuclein aggregation in Parkinson's disease patients.
NPJ Parkinsons Dis
January 2025
Movement Disorders Unit, Neurological Institute, Tel Aviv Medical Center, Tel Aviv, Israel.
Alpha-synuclein (αS) aggregation is a widely regarded hallmark of Parkinson's disease (PD) and can be detected through synuclein amplification assays (SAA). This study investigated the association between cerebrospinal fluid (CSF) radiological measures in 41 PD patients (14 iPD, 14 GBA1-PD, 13 LRRK2-PD) and 14 age-and-sex-matched healthy controls. Quantitative measures including striatal binding ratios (SBR), whole-brain and deep gray matter volumes, neuromelanin-MRI (NM-MRI), functional connectivity (FC), and white matter (WM) diffusion-tensor imaging (DTI) were calculated.
View Article and Find Full Text PDFNeurophysiological gradient in the Parkinsonian subthalamic nucleus as a marker for motor symptoms and apathy.
NPJ Parkinsons Dis
January 2025
Department of Neurology, Bern University Hospital and University of Bern, Bern, Switzerland.
Sensing-based deep brain stimulation should optimally consider both the motor and neuropsychiatric domain to maximize quality of life of Parkinson's disease (PD) patients. Here we characterize the neurophysiological properties of the subthalamic nucleus (STN) in 69 PD patients using a newly established neurophysiological gradient metric and contextualize it with motor symptoms and apathy. We could evidence a STN power gradient that holds most of the spectral information between 5 and 30 Hz spanning along the dorsal-ventral axis.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!