D A Steinman
Overview
Explore the profile of D A Steinman including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
40
Citations
627
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Khan M, Toro Arana V, Najafi M, MacDonald D, Natarajan T, Valen-Sendstad K, et al.
J Biomech
. 2021 Aug;
127:110683.
PMID: 34454331
High-fidelity computational fluid dynamics (HF-CFD) has revealed the potential for high-frequency flow instabilities (aka "turbulent-like" flow) in intracranial aneurysms, consistent with classic in vivo and in vitro reports of bruits...
2.
Haley A, Valen-Sendstad K, Steinman D
J Biomech
. 2021 Jul;
125:110588.
PMID: 34218038
Recent comparisons between experiments and computational fluid dynamics (CFD) simulations of flow in the Food and Drug Administration (FDA) standardized nozzle geometry have highlighted the potential sensitivity of axisymmetric CFD...
3.
Chnafa C, Bouillot P, Brina O, Najafi M, Delattre B, Vargas M, et al.
J Biomech
. 2018 Sep;
80:159-165.
PMID: 30243498
Patient-specific inflow rates are rarely available for computational fluid dynamics (CFD) studies of intracranial aneurysms. Instead, inflow rates are often estimated from parent artery diameters via power laws, i.e. Q ...
4.
Chnafa C, Brina O, Pereira V, Steinman D
AJNR Am J Neuroradiol
. 2017 Dec;
39(2):337-343.
PMID: 29269407
Background And Purpose: Computational fluid dynamics simulations of neurovascular diseases are impacted by various modeling assumptions and uncertainties, including outlet boundary conditions. Many studies of intracranial aneurysms, for example, assume...
5.
Chnafa C, Bouillot P, Brina O, Delattre B, Vargas M, Lovblad K, et al.
Physiol Meas
. 2017 Oct;
38(11):2044-2057.
PMID: 29019794
Objective: Vessel lumen calibres and flow rates are thought to be related by mathematical power laws, reflecting the optimization of cardiac versus metabolic work. While these laws have been confirmed...
6.
Chnafa C, Valen-Sendstad K, Brina O, Pereira V, Steinman D
J Biomech
. 2016 Dec;
51:83-88.
PMID: 27986327
Reduced-order modelling offers the possibility to study global flow features in cardiovascular networks. In order to validate these models, previous studies have been conducted in which they compared 3D computational...
7.
Khan M, Steinman D, Valen-Sendstad K
Int J Numer Method Biomed Eng
. 2016 Oct;
33(7).
PMID: 27696717
Computational fluid dynamics (CFD) shows promise for informing treatment planning and rupture risk assessment for intracranial aneurysms. Much attention has been paid to the impact on predicted hemodynamics of various...
8.
Khan M, Valen-Sendstad K, Steinman D
AJNR Am J Neuroradiol
. 2015 Mar;
36(7):1310-6.
PMID: 25742983
Background And Purpose: Recent high-resolution computational fluid dynamics studies have uncovered the presence of laminar flow instabilities and possible transitional or turbulent flow in some intracranial aneurysms. The purpose of...
9.
Janiga G, Berg P, Sugiyama S, Kono K, Steinman D
AJNR Am J Neuroradiol
. 2014 Dec;
36(3):530-6.
PMID: 25500315
Background And Purpose: Rupture risk assessment for intracranial aneurysms remains challenging, and risk factors, including wall shear stress, are discussed controversially. The primary purpose of the presented challenge was to...
10.
Valen-Sendstad K, Steinman D
AJNR Am J Neuroradiol
. 2013 Nov;
35(3):536-43.
PMID: 24231854
Background And Purpose: Computational fluid dynamics has become a popular tool for studying intracranial aneurysm hemodynamics, demonstrating success for retrospectively discriminating rupture status; however, recent highly refined simulations suggest potential...