Active clinical trials for "Cerebral Hemorrhage"

Spontaneous intracerebral hemorrhage(SICH) is the most lethal and disabling stroke. Timely and accurate assessment of patient prognosis could facilitate clinical decision making and stratified management of patients and is important for improving patient clinical prognosis. However, current studies on the prediction of prognosis of patients with SICH are limited and only include a single variable, with less precise results and inconvenient clinical application, which may lead to delays in effective patient treatment. Our group's previous studies on SICH showed that hematoma heterogeneity and the degree of contrast extravasation within the hematoma are closely related to the clinical outcome of patients, but they are difficult to describe quantitatively based on imaging signs. Based on this, we propose to use radiomics to quantitatively extract hematoma features from NCCT and CTA images, combine them with patients' clinical information and laboratory tests, study their relationship with the prognosis of cerebral hemorrhage, and use artificial intelligence to establish a rapid and accurate prognostic prediction model for patients with SICH, which is of great significance to guide clinical individualized treatment.

The REACH trial is a prospective multicenter double-blind randomized placebo-controlled trial with blinded end-point adjudication. Participants are randomized (1:1) to receive either sodium aescinate or matching placebo (0.9% saline). The primary outcome is the absolute volume of PHE evaluated based on brain CT image on day 14 after ICH.

This is a nested cohort study in the PRO-SVD cohort. Small vessel disease is a chronic disease and is thought to progress over time. MRI is the gold standard to diagnose small vessel disease, but data on MRI-visible disease progression are scarce. Complications of small vessel disease as well as location pattern, distribution and severity of these MRI small vessel disease markers differ according to the underlying phenotype. The primary aim of this project is to investigate individual small vessel disease burden progression detected by MRI in survivors or intracerebral hemorrhage.

The purpose of this study is to determine whether treatment with remote ischemic conditioning is of sufficient promise to improve outcome before conducting a larger clinical trial to examine its effectiveness as a treatment for intracerebral hemorrhage.

Background: While the intensive care of patients with life-threatening brain illnesses has advanced tremendously, a large number of therapies are still without proper scientific support. This can be partly explained by the fact that mechanisms of initial brain injury are still not well understood. Why additional neurological injury occurs during a patient's stay in the NeuroCritical Care Unit (NCCU) despite current best, evidence-based clinical practices, is also not well understood. However, over the past decade, better tools have become available to measure and monitor the impact of our clinical care on the rapidly changing physiology and chemistry of the injured brain. Some of these tools are CT, MRI, ultrasound, and catheter-based technology measuring blood flow and metabolism. These tools have enabled earlier detection of injury and complications and newer therapeutic strategies. Purpose: Examine disease pathways common to all brain injuries seen in the University of Maryland's 22-bed NCCU. Life-threatening neurological illnesses cared for in the NCCU include massive stroke, bleeding in and around the brain (subarachnoid hemorrhage, intracerebral hemorrhage, subdural hemorrhage, intraventricular hemorrhage), brain tumors, difficult to control seizures, neurologic infections, nerve and muscle diseases (such as myasthenia gravis or Guillain-Barre Syndrome), and spinal cord disorders among others. Many NCCU patients are comatose or paralyzed and may suffer injuries in other parts of the body as well. This effort will require the creation of a robust clinical database for the capture of data including patient characteristics (age, sex), clinical characteristics, medical treatments, surgical interventions, physiological data (such as vital signs, cerebral blood flow, intracranial pressure, cerebral oximetry, etc), laboratory data, and standard-of-care diagnostic studies such as electroencephalography (EEG), ultrasound, CT, MRI, and angiograms. Similar databases exist at other major centers for neurocritical care and have been instrumental to the identification of characteristics both predictive of and associated with outcomes of patients long after their stay in the NCCU. In addition, the samples collected will be included in the University of Maryland Medicine (UMM) Biorepository which is a shared resource to enable biomedical research by University of Maryland faculty.

Robotic Assisted Evacuation of Subacute and Chronic Supratentorial Deep Hypertensive Intracerebral Hemorrhage for Accelerating Functional Rehabilitation (RESCUE-CHAIN): a Multi-center Randomized Controlled Trial

This is an open-labelled, single centre randomised controlled trial evaluating the efficacy of early minimally invasive image-guided hematoma evacuation in combination with the current best medical treatment compared to best medical treatment alone in improving functional outcome rates at 6 months after initial treatment in patients with spontaneous supratentorial intracerebral haemorrhage.

This study is to determine if a treatment target for a potential endovascular therapy exists in patients with an acute, spontaneous (non-traumatic) ICH.

For stroke patients, early initiation of therapy typically yields the best functional outcomes. Rehabilitation of stroke patients immediately after hospitalization minimizes deleterious effects of immobility and facilitates restoration of function. The investigators are testing if coordinated efforts between the medical and rehabilitation disciplines may improve stroke patient's functional recovery and subsequent follow-ups after discharge.

To evaluate the performance of the Viz RECRUIT software in subjects identified as symptomatic of a stroke event as determined by standard of care imaging assessments and interpretation.