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Projects
Grant: |
NIH R21 NS094780 |
Dates: |
09/15/2015 - 08/31/2018 |
Title: |
Improved evaluation of PCOM aneurysms: angio-architectures, hemodynamics and shape |
Info: |
The objective of this project is to identify angio-architecture and aneurysm characteristics that distinguish between ruptured and unruptured PCOM aneurysms and use this information to better assess rupture risk |
Data Sharing: |
The vascular models created as part of this project are available upon request. (Email the PI, Prof. Juan R. Cebral (jcebral@gmu.edu) to request the models).
The models are described in Chung BJ, Doddasomayajula R, Mut F, Detmer F, Pritz M, Hamzei-Sichani F, Brijikjiki W, Kallmes D, Jimenez C, Putman C, Cebral JR, Angioarchitectures and hemodynamics characteristics of posterior communicating artery aneurysms and their association with rupture status, AJNR, 38(11): 2111-2118, 2017 (DOI: 10.3147/ajnr.A5358).
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Grant: |
NIH R01 NS076491 |
Dates: |
09/01/2016 - 08/31/2021 |
Co-PIs: |
Dr. Ramanathan Kadirvel, Dr. David Kallmes - Mayo Clinic |
Title: |
Computational and Biological Approach to Flow Diversion |
Info: |
The major goal of this project is to model the hemodynamic alteration produced by flow diverting devices on animal models of cerebral aneurysms and relate them to long term aneurysm occlusion rates
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Data Sharing: |
The vascular models created as part of this project will be made available upon request. (Email the PI, Prof. Juan R. Cebral (jcebral@gmu.edu) to request the models).
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Grant: |
NIH R01 NS076491 |
Dates: |
09/01/2016 - 08/31/2021 |
Co-PIs: |
Prof. Anne Robertson - University of Pittsburgh |
Title: |
Improving cerebral aneurysm risk assessment through understanding wall vulnerability and failure modes |
Info: |
The objective of this project is to connect flow conditions to wall structure and strength in cerebral aneurysms using resected tissue samples and computational modeling, and use this information to identify unruptured aneurysms at risk of rupture
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Data Sharing: |
The vascular models created as part of this project will be made available upon request. (Email the PI, Prof. Juan R. Cebral (jcebral@gmu.edu) to request the models).
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