Funding

Ongoing

  • Novel risk stratification score for patients with acute Cerebral Venous Sinus Thrombosis (12/22 - 12/24)
    • NIH/NINDS RO3 NS126804
    • Goal: To develop an stratification score to detect CVST high-risk patients at admission.
  • Geospatial modeling for Stroke Care (4/22 - 03/27)
    • NIH/NINDS RO1 NS127114
    • Goal: To develop an algorithm of stroke triage that maximizes neurological recovery for stroke patients in the US and that can be integrated in a point-of-care decision support application for easy use by paramedics.
  • Safety and Efficacy Assessment of Surpass EVOLVE (SEASE) Study (5/22 - 3/24)
    • Stryker Corporation
    • Goal: To evaluate the safety and efficacy of the Surpass Evolve flow diverter in a multicenter real-world cohort in the US.
  • Feasibility of Large Vessel Occlusion (LVO) on Non-Contrast Computed Tomography (EASILVO-NCCT) (6/22 - 4/23)
    • Methinks Software S.L.
    • Goal: To evaluate the accuracy of the Machine Learning algorith in the identification of LVO in AIS patients using NCCT.
  • Safety and Efficacy Assessment of Surpass Streamline Flow Diverter in the US (9/20 - present)
    • Stryker Neurovascular
    • Goal: To evaluate the safety and efficacy of Surpass Streamline FD in a multicenter real-world cohort in the US.

 

Completed

  • Carotid Occlusion Endovascular Recanalization Pilot Study (12/22 - 12/23)
    • Society of Vascular and Interventional Neurology
    • Goal: To generate preliminary data and establish the safety and efficacy boundaries for treatment of CCO.
  • Predictors of Occlusion in Aneurysms Treated with the WovenEndobridge (WEB) Device (12/22 - 12/23)
    • MicroVention
    • Goal: To better understand clinical and neuroimaging predictors of recanalization/compaction and evaluate the safety and efficacy of WEB in off-label locations and ruptured aneurysms.
  • Novel Risk Stratification Score to improve the care of patients with acute Cerebral Venous Sinus Thrombosis (7/20 - 6/21)
    • CCoM clinical and education grant, award 53380621
    • Goal: To develop a score for early stratification of Cerebral Venous Sinus Thrombosis (CVST) patients with poor prognosis using novel and objective clinical and imaging biomarkers that appear during early pathophysiological stages of CVST.
  • Using machine learning algorithms to predict final infarct volume and functional outcomes based on brain collateral patterns, clinical features and time degree of recanalization (7/20 - 6/21)
    • IIAI - CCoM pilot grant
    • Goal: To determine the final infarct volume by using patient-level clinical and imaging-based data for the treatment times and success of recanalization in patients presented with large vessel occlusion stroke, undergoing revascularization.
  • Deep Immuno Profiling with high Parameter Flow Cytometry to Identify Clinically Relevant Immune Correlates of Long-Term Cognitive Decline (7/19 - 6/21)
    • StrokeNET Pilot ICTS
    • Goal: To determine if early changes in immune cells after AIS, near the site of occlusion can be used as predictors of long-term neurofunctional decline using standard, low-cost flow cytometry.

Research Areas

Mechanical Thrombectomy

The mechanical thrombectomy is a non-invasive procedure done in patients with acute onset of stroke. During this procedure a stent is advanced through a blot clot in the brain. Once the stent passes the clot it is pulled back in hopes to take the clot with it. This can be done with or without aspiration. 

Our Goal

To research and better characterize the use of mechanical thrombectomy as an effective treatment for patients with ischemic stroke. Including analyzing factors associated with reperfusion status after thrombectomy, different imaging modalities, TPA, event times, and functional outcomes. 

 

Thrombectomy

 

Aneursym Coiling

Aneurysm Embolization

Cerebral aneurysms are enlargements of an artery that may be caused by weakening of artery walls. In order to treat these aneursyms, a non-invasive procedure can be conducted in which an embolization device is used to clot the localized enlargement. 

Our Goal

To research the effectiveness in technical, radiological, and clinical of many aneurysmal embolization devices. Some of these devices include: stent assisted coiling, Surpass Streamline Flow Diverter, Woven EndoBridge (WEB), and more.

Carotid Stenting/Angioplasty

In patients with Internal Carotid Artery occlusion or stenosis, carotid stenting/angioplasty (non-invasive) can be perform to recanalize the vessel and restore adequate blood flow to the brain.

Our Goal

To investigate and analyze the technical and clinical outcomes after endovascular treatment of patients with carotid artery stenosis and occlusion.

 

carotid stenting

 

 

CVST

Cerebral Venous Sinus Thrombosis (CVST)

CVST is a rare form of stroke , commonly seen in young adults and children. It occurs when a blood clot forms in the venous system of the brain resulting in abnormal drainage and/or bleeding in the brain tissue.

Our Goal

To investigate risk factors and novel biomarkers using Machine Learning Methodologies (MLM), and to develop a prognostic to identifying high-risk individuals with CVST.  

Arteriovenous Malformation (AVM)

AVM's are unique entanglements of blood vessels that may connect arteries and veins together. This can disrupt normal blood flow as well as needed oxygen circulation. The vessels can also rupture and cause a bleed in the brain or spinal cord. Typical treatment includes non-invasive catheter or radiation therapy to close off these vessels. 

Our Goal

We focus on retrospectively studying AVM cases to develop new ways to better manage and treat these patients. 

 

AVM

 

CTP

Cerebrovascular Imaging

We study cutting-edge innovative imaging modalities using research software for Computed Tomography (CT), Magnetic Resonance Imaging (MRI), and Computed Tomography Perfusion (CTP) modalities to devise novel approaches for the diagnosis, prognostication, and treatment for patients with ischemic and hemorrhagic strokes. The core lab is equipped with image acquisition and optimizing protocols for clinical and experimental studies. We use algorithms and machine learning applications to evaluate biomarkers for functional and structural cerebrovascular diseases.