Restoration and optimization of cerebral blood flow (CBF) are the cornerstones of acute stroke management, but evidence suggests substantial hemodynamic variability between patients. Over the last few years, mechanical thrombectomy has revolutionized treatment for acute stroke with large vessel occlusion. With this procedure, clot is endovascularly removed to achieve large artery recanalization in the majority of patients. Unfortunately, microvascular hypoperfusion can persist despite large vessel recanalization, and microvascular flow status is a better predictor of infarct volume and clinical outcome than large artery recanalization. This proposal seeks to apply novel methods, most notable diffuse correlation spectroscopy, for noninvasive assessment of cerebral microvascular hemodynamics during mechanical thrombectomy. This work will identify individual variability in microvascular reperfusion. Impaired autoregulation is known to occur in acute stroke, and provides the rationale for liberalization of blood pressure targets. DCS data will also be used for bedside measurement of individual variations in cerebral autoregulation based on dynamic correlations between arterial blood pressure and CBF. Finally, structural and perfusion MRI will be used to assess imaging outcomes, and for validation of optical CBF measurements. This project will define the incidence and clinical significance of persistent microvascular hypoperfusion and autoregulatory dysfunction after thrombectomy, which in future work will serve as novel therapeutic targets to individualize stroke treatment and further improve clinical outcomes. The proposed work will also provide critical career development for the candidate?s growth towards independence, with expertise in measuring cerebral hemodynamics and penumbral physiology in acute stroke. This proposal builds upon the candidate?s foundation in optical blood flow monitoring, expanding its application to a high-acuity setting, leveraging the technology?s advantage as a non-invasive bedside tool. Training in advanced MRI as a complementary tool for assessing cerebral hemodynamics with high spatial resolution will diversify the candidate?s expertise. The proposal will also provide training in advanced biostatistics, study methodology, and rigor. Mentorship, critical to the candidate?s success, will be provided by an experienced interdisciplinary team of senior faculty with a track record of success in training independent researchers. The team is led by: (1) primary mentor Dr. John Detre, a world renowned expert in neuroimaging, who has been critical in the development of optical and MRI methods utilized in this proposal, (2) Dr. Scott Kasner, an internationally distinguished stroke clinical trialist, and (3) Dr. Arjun Yodh, an internationally renowned investigator in biomedical optics and developer of the technology used in this work. These mentors will ensure the proposed research and training plan guide the candidate in establishing an independent research program in non-invasive cerebral hemodynamic monitoring.

Public Health Relevance

Optimizing cerebral blood flow is critical in the management of acute stroke patients. The goal of this proposal is to develop expertise in applying non-invasive methods for monitoring cerebral hemodynamics in acute ischemic stroke. These tools will define the incidence and clinical significance of persistent microvascular hypoperfusion and autoregulatory dysfunction after mechanical thrombectomy, which in future work will serve as novel therapeutic targets to individualize stroke treatment and improve outcomes.

Agency
National Institute of Health (NIH)
Institute
National Institute of Neurological Disorders and Stroke (NINDS)
Type
Mentored Patient-Oriented Research Career Development Award (K23)
Project #
5K23NS110993-02
Application #
10019609
Study Section
Neurological Sciences Training Initial Review Group (NST)
Program Officer
Koenig, James I
Project Start
2019-09-30
Project End
2024-08-31
Budget Start
2020-09-01
Budget End
2021-08-31
Support Year
2
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of Pennsylvania
Department
Neurology
Type
Schools of Medicine
DUNS #
042250712
City
Philadelphia
State
PA
Country
United States
Zip Code
19104