View clinical trials related to Neurosurgery.
Filter by:In this exploratory qualitative study with a hermeneutic phenomenological approach, we will describe and understand the experience of treatment and hospitalization in hospitalized people suffering from stroke, multiple sclerosis, Parkinson's disease and patients post-neurosurgery for oncological causes. Patients will be interviewed in a semi-structured manner and sampling will take place for each of the pathology groups according to the saturation method.
Respiratory muscle dysfunction may contribute to the development of postoperative pulmonary complications. However, it prevalence in patients receiving neurosurgery is largely unknown. Therefore, in present study, respiratory muscle function (measured by the ultrasound) and their correlation with the post-operative pulmonary complications will be analyzed.
The objective of this observational study is to examine the impact of augmented arterial pressure during the hemostatic phase of elective supratentorial neurosurgery. The primary inquiries it seeks to address are as follows: 1. Does an increase in systolic arterial pressure prompt a hemostatic maneuver by the neurosurgeon, and does the concomitant mean arterial pressure value influence the frequency of such interventions? 2. How often do postoperative intracranial hemorrhages occur, and how severe are they in relation to the achieved mean arterial pressure value? Participants will be enrolled during the preoperative evaluation, where their arterial pressure values, medical histories, and medication statuses will be recorded. Throughout the induction and maintenance of anesthesia, we will monitor their blood pressure values and document any instances of hypotension or hypertension. During the hemostatic phase, we will elevate the arterial pressure using noradrenaline by up to 10 mmHg above the recorded pressure measured at the inpatient clinic. Subsequently, we will inquire whether the neurosurgeon had to employ any additional hemostatic maneuvers following the increase in arterial pressure. The arterial pressure values will be recorded at the end of the surgery, and the first postoperative CT scan will be examined to identify any cases of intracranial hemorrhage.
Validation of Clinical Prediction Model for Venous Thromboembolism Following Neurosurgery: A Multicenter, Prospective, and Cohort Study
The purpose of this study is to obtain images of brain tumours during surgery using a new type of surgical camera. The study will assess how the information obtained from the images during surgery matches the removed tissue. Data will also be used to develop the system's key computer-processing features. This will enable real-time information to be given to the surgeon whilst they are performing the procedure and has the potential to make neurosurgery safer and more precise.
Brain surgery operations include brain tumour removal and blood vessel procedures. Each year in the UK, approximately 70,500 patients are diagnosed with a brain tumour, 5,000 of whom undergo surgery. Approximately 1,000 patients undergo blood vessel brain surgery. Brain tumour surgery involves removing as much of the tumour as safely as possible. If all tumour is removed, patients have significantly better outcomes and live longer. However, even with the best hands and the most modern technology currently available, it is often not possible to reliably identify tumour during surgery. Moreover, nerves and blood vessels cannot be reliably identified either during surgery. Yet, they need to be preserved to avoid brain damage. Due to this uncertainty and the need to balance risks, tumour is often left behind. Today, close to 30% of brain tumour patients require repeat surgery owing to tumour left behind during their first surgery. Further surgeries are more difficult, pose additional patient risks and lead to increased healthcare costs with often poor patient outcomes. Newly developed camera systems have the potential to enhance the surgeon's vision to reliably identify tumour and healthy brain structures. Hyperspectral imaging (HSI) is one of the most promising of such technologies. Its core ability is to provide very detailed and rich information that is invisible to the human eye. HSI has demonstrated the potential to provide crucial, but currently unavailable, information about tumour and critical brain structures during surgery. However, HSI data is very complex and requires advanced computer-processing for its interpretation. In this project, we will use a HSI imaging system to record data in 81 patient undergoing brain including 63 patients with brain tumours and 18 patients suffering from brain vessel abnormalities. Using this data we will develop key computer-processing features to enable real-time image interpretation.
The postoperative complications of neurosurgery are various and complex, which brings heavy economic and social burden to families. Timely detection and early intervention can help reduce the incidence of adverse events and mortality. The main purpose of this study is to analyze the possible factors related to postoperative complications of Neurosurgery, so as to achieve the prospective prevention and treatment of postoperative complications of neurosurgery.
Pain is common for the first 2 days after major craniotomy. Inadequate analgesia induced sympathetically mediated hypertension may lead to an increased risk for post-operative complications, such as arterial hypertension, intracranial hemorrhage, prolonged hospital stay, and mortality.Pain after craniotomy derives from the scalp and pericranial muscles.Scalp block with local anesthesia seems to provide effective and safe anesthetic management.Scalp block can be performed by directly blocking the six different nerves that provide the sensory innervation of the scalp in neurological surgery.Even if adrenaline as an additive agent, scalp block using 0.5% or 0.75% bupivacaine with adrenaline could only improve postoperative analgesic for up to six hours after craniotomy.However, pain is common for the first 2 days after major elective intracranial surgery, and the relatively short analgesic time of scalp nerve blocks does not seem to meet the requirements of craniotomy. Therefore, how to improve the quality and duration of scalp nerve blocks with local anesthetics is of great significance.Parecoxib is a NSAIDs that specifically inhibits the enzyme COX-2.Liu et al firstly applied parecoxib as an adjuvant to local anesthetics on peripheral nerve blocks and reported 20 mg parecoxib added to ropivacaine injected locally on the brachial plexus nerve prolonged the motor and sensory block times of the nerve blockade and ameliorated postoperative pain intensity for patients receiving forearm orthopaedic surgery. However, there has not been reported about local application of parecoxib on scalp nerve blocks. The investigators postulate that parecoxib may be also ideal for scalp nerve blocks for relief of post-craniotomy pain, and further research is needed. The APONIA trial aims to establish whether scalp blocks with a mixture of ropivacaine plus parecoxib is able to relieve patients' postoperative pain compared with local anesthetics alone, thereby potentially changing medical practice.
Inhomogeneous ventilation was more likely to happen in patients after general anesthesia. Inhomogeneous ventilation may associate with ventilator-induced lung injury. A large number of post-neurosurgical patients was delayed extubation and received mechanical ventilation, so that, inhomogeneous ventilation was more likely to happen in the population. Electrical impedance tomography (EIT) is an noninvasive, radiation-free, high temporal resolution, relatively cheap technique in monitoring ventilation distribution bedside. The investigators aimed to investigate the incidence of inhomogeneous ventilation and factors associated with inhomogeneous ventilation in post-neurosurgical patients under mechanical ventilation.
The PANDA trial is a multicenter prospective observational study designed to analyze various ICP derived parameters and clinical status in neurosurgical critical patients through a new big data acquisition system.