View clinical trials related to Hydrocephalus.
Filter by:The goal of this clinical trial is to test a modified smart soft contact lens in neonates and infants at risk of developing hydrocephalus. The main questions it aims to answer are: - Can the device distinguish between intracranial pressure variations in neonates and infants diagnosed with hydrocephalus and those without - Can the device compare pressure dynamics between pre- and post-operative periods in neonates and infants who undergo surgical treatments Participants will undergo standard of care evaluations for hydrocephalus (anterior fontanelle assessment and head circumference measurement) and wear the device during standard of care evaluation; pre- and post- ventricular reservoir taps, as applicable; and/or pre- and post-operatively, as applicable.
Research Purpose: This study aims to continuously evaluate the safety of subjects implanted with a catheter (trade name: Bactiseal) produced by Integra LifeSciences Production Corporation. Device safety will be assessed based on all the adverse events that occurred within 2 years after implanted the catheter. Research Design: This study is designed to be single arm, multi-center, and retrospective. A total of 200 subjects will be retrospectively enrolled. Information will be collected on adverse events, including bacterial culture and drug resistance testing when infection (if done), of subjects enrolled within 2 years after the implantation of the Bactiseal Catheter between January 01, 2019 and June 30, 2022. The following information will be collected from subjects' medical records or hospitals' databases (if any): 1. General condition of the subjects (including previous shunting and external drainage operation) 2. Intraoperative condition and catheter implantation 3. Information on the shunt catheters 4. Adverse events of subjects within 2 years after the operation and classification of the adverse events (except anticipated adverse events listed in section 8.1.2) 5. Relevant examinations in case of postoperative infection, including bacterial culture and drug resistance testing (if done)
To assess the accuracy the SOLOPASS® System US based in the placement of external ventricular drain into the cranial cavity. This study will aim at evaluating the proposed efficacy of the device in targeting the brain ventricles and decrease multiple brain passes, incorrect deployment and malfunctioning of the drain.
Cell-free fetal DNA (cffDNA) is present in the maternal blood from the early first trimester of gestation and makes up 5%-20% of the total circulating cell-free DNA (cfDNA) in maternal plasma. Its presence in maternal plasma has allowed development of noninvasive prenatal diagnosis for single-gene disorders (SGD-NIPD). This can be performed from 9 weeks of amenorrhea and offers an early, safe and accurate definitive diagnosis without the miscarriage risk associated with invasive procedures. One of the major difficulties is distinguishing fetal genotype in the high background of maternal cfDNA, which leads to several technical and analytical challenges. Besides, unlike noninvasive prenatal testing for aneuploidy, NIPD for monogenic diseases represent a smaller market opportunity, and many cases must be provided on a bespoke, patient- or disease-specific basis. As a result, implementation of SGD-NIPD remained sparse, with most testing being delivered in a research setting. The present project aims to take advantage of the unique French collaborative network to make SGD-NIPD possible for theoretically any monogenic disorder and any family.
This study is intended to evaluate the feasibility of using VisAR augmented reality surgical navigation during placement of an external ventricular drain (EVD). The investigators are interested in confirming the design of the VisAR headset is compatible with this bedside procedure.
The investigators hypothesize that the Q-collar compression on bilateral internal jugular veins of patients with low pressure hydrocephalus will decrease venous drainage from the intracranial space, therefore increasing intracranial volume, decreasing brain compliance, and increasing CSF drainage through the shunt. This should improve persistent hydrocephalus symptoms and demonstrate improved ventricular drainage on imaging with decompressed ventricles.
This study evaluates the performance of a device for non-invasively assessing cerebrospinal fluid (CSF) shunt flow. Patients with an existing implanted shunt will wear the device to acquire longitudinal data.
Normal pressure hydrocephalus (NPH) is a neurodegenerative disease of unclear etiology characterized by a clinical trias named after the neurosurgeon Hakim. It includes cognitive impairment (dementia), gait disturbance, and urinary incontinence. These symptoms, which frequently occur in the elderly population, often overlap with the symptoms of "other" neurodegenerative diseases, especially Alzheimer's disease and other (pre)senile dementias. To distinguishing NPH from "other" dementias is crucial in determining whether a patient will benefit from a surgical procedure (ventriculoperitoneal shunt placement) or not. At the same time, the options for assessing the patient's condition's progression and distinguishing between the progression of neurodegeneration in a broader sense or malfunction of the drainage system are very limited. Therefore, the role of a biomarker that could meet these expectations mentioned above is highly desirable.
Measurements of shunt flow will be performed non-invasively. This study will generate usability data via observed tasks and comprehension questions to enable future device design improvements.
This study has been added as a sub study to the Simulation Training for Emergency Department Imaging 2 study (ClinicalTrials.gov ID NCT05427838). The purpose of the study is to assess the impact of an Artificial Intelligence (AI) tool called qER 2.0 EU on the performance of readers, including general radiologists, emergency medicine clinicians, and radiographers, in interpreting non-contrast CT head scans. The study aims to evaluate the changes in accuracy, review time, and diagnostic confidence when using the AI tool. It also seeks to provide evidence on the diagnostic performance of the AI tool and its potential to improve efficiency and patient care in the context of the National Health Service (NHS). The study will use a dataset of 150 CT head scans, including both control cases and abnormal cases with specific abnormalities. The results of this study will inform larger follow-up studies in real-life Emergency Department (ED) settings.