Physiome approach for the analysis of vascular flow reserve in the heart and brain

Lee, Jun Young; Ryu, Ah-Jin; Shin, Eun‐Seok; Shim, Eun Bo

doi:10.1007/s00424-017-1961-7

Cited by 5 publications

(7 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In-vivo geometric models were reconstructed exactly from the patient-specific imaging data. They can present intracranial arteries only [9,[55][56][57][58][59][60][61][62] or with aorta and extracranial arteries included [45,63].…”

Section: ) Methods To Improve Accuracymentioning

confidence: 99%

“…Boundary conditions are important for 3D CFD simulation. 0D [48,59,62] and 1D models [47] were adopted as boundary conditions in some 3D models. Yamada et al jointed 1D models to the outlets of their 3D model, and attached 0D models to the outlets of 1D models, forming a cascading arterial tree ( Fig 3C) [9].…”

Section: ) Methods To Improve Accuracymentioning

confidence: 99%

“…Considering the effect of arterial wall elasticity on the flow field, the FSI models have been proposed to simulate the interaction between blood flow and arterial wall deformation. In-vivo data In-vivo physiological measurements [23,24] In-vivo physiological measurements [28,30,31] In-vivo 3-D geometry [9,[55][56][57][58][59][60][61][62], in-vivo physiological measurements [9,45,51,55,58] Rheological models…”

Section: Nontraditional Modelsmentioning

confidence: 99%

“…Anatomical variation [45,50,52,54], the intracranial stenosis [9,54], and aneurysm [50,55,60], intracranial arterial occlusion [67], the carotid stenosis [48], the cerebral flow reserve [59], the Reversed Robin Hood Syndrome [49], the effects of internal carotid [58] and cardiopulmonary bypass surgeries [63] on intracranial blood flow, endovascular mechanical recanalization [62].…”

Section: Clinical Applicationsmentioning

confidence: 99%

See 3 more Smart Citations

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

et al. 2020

View full text Add to dashboard Cite

Background: Various computational models of the circle of Willis (CoW) have been developed to non-invasively estimate the blood flow and hemodynamic parameters in intracranial arteries for the assessment of clinical risks such as aneurysms, ischemia, and atherosclerotic plaque growth. This review aims to categorize the latest computational models of CoW and summarize the innovative techniques. Summary of Review: In traditional computational models of CoW, the computational complexity increased from zero-dimensional models to one-dimensional and three-dimensional models. The applications extend from estimating certain hemodynamic parameters to simulating local flow field. The innovative techniques include the combination of models with different dimensions, the extension of vascular structure including heart and veins, as well the addition of distal fractality, cerebral autoregulation, and intracranial pressure. There are some nontraditional models based on fluid-solid-interaction, control theory, and in-vitro experiments. In all kinds of models, the in-vivo data and non-Newtonian rheological models of blood have been widely applied to improve the accuracy of hemodynamic simulation. Conclusion: Firstly, the selection of model depends on its application scenario. The balance between computational complexity and physiological accuracy deserves further investigation. Secondly, the improvement of CoW models relies on the large-scale validations and the combination of various innovative modeling techniques. INDEX TERMS brain modeling, computational modeling, Circle of Willis (CoW), Windkessel effect, pulse wave, computational fluid dynamics (CFD), cerebral blood flow, intracranial arteries.

show abstract

Section: ) Methods To Improve Accuracymentioning

confidence: 99%

Section: ) Methods To Improve Accuracymentioning

confidence: 99%

Section: Nontraditional Modelsmentioning

confidence: 99%

Section: Clinical Applicationsmentioning

confidence: 99%

See 2 more Smart Citations

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

et al. 2020

View full text Add to dashboard Cite

show abstract

“…Technical verification for the algorithm is shown in our previous paper (Kwon et al, 2014). For the identification of LPM resistance values, we used the vessel length based method that is explained in detail in our previous paper (Lee et al, 2016b, 2017). The method is based on the physiological observation that vessels with longer length feed more muscle mass inducing less microvascular resistance.…”

Section: Methodsmentioning

confidence: 99%

Prediction of Plaque Progression in Coronary Arteries Based on a Novel Hemodynamic Index Calculated From Virtual Stenosis Method

et al. 2019

Self Cite

View full text Add to dashboard Cite

Rationale Predicting the sites in coronary arteries that are susceptible to plaque deposition is essential for the development of clinical treatment strategies and prevention. However, to date, no physiological biomarkers for this purpose have been developed. We hypothesized that the possibility of plaque deposition at a specific site in the coronary artery is associated with wall shear stress (WSS) and fractional flow reserve (FFR). Background and Objective We proposed a new biomarker called the stenosis susceptibility index (SSI) using the FFR and WSS derived using virtual stenosis method. To validate the clinical efficacy of this index, we applied the method to actual pilot clinical cases. This index non-invasively quantifies the vasodilation effects of vascular endothelial cells relative to FFR variation at a specific coronary artery site. Methods and Results Using virtual stenosis method, we computed maximum WSS and FFR according to the variation in stenotic severity at each potential stenotic site and then plotted the variations of maximum WSS ( y -axis) and FFR ( x -axis). The slope of the graph indicated a site-specific SSI value. Then we determined the most susceptible sites for plaque deposition by comparing SSI values between the potential sites. Applying this method to seven patients revealed 71.4% in per-patient basis analysis 77.8% accuracy in per-vessel basis analysis in percutaneous coronary intervention (PCI) site prediction. Conclusion The SSI index can be used as a predictive biomarker to identify plaque deposition sites. Patients with relatively smaller SSI values also had a higher tendency for myocardial infarction. In conclusion, sites susceptible to plaque deposition can be identified using the SSI index.

show abstract

Instantaneous Wave-Free Ratio Measurement During Intracranial Submaximal Angioplasty: Case Series and 2-Dimensional Operative Video

Vakharia

Waqas

Fayyaz

et al. 2020

ONSURG

View full text Add to dashboard Cite

BACKGROUND Instantaneous wave-free ratios (iFRs) are functional measures of arterial stenosis that have become essential to interventional cardiology procedures. Their use for intracranial submaximal angioplasty (angioplasty with an undersized balloon) has not been studied extensively. OBJECTIVE To describe the feasibility and technique of iFR measurement for stenosis assessment during intracranial angioplasty. METHODS We present a series of consecutive patients treated between January 1, 2017 and June 30, 2018 with submaximal intracranial angioplasty in whom pre- and postprocedure iFR measurements were obtained with a Verrata-Volcano pressure wire (Philips, Amsterdam, The Netherlands). We collected patient data on age, sex, comorbid conditions, presenting complaints, modified Rankin scale (mRS) score at admission, neurological findings, procedure duration, fluoroscopy time, intraprocedural complications, length of hospital stay, and mRS score at last clinical follow-up (favorable outcome, 0-2). Angiographic stenosis severity and iFR values were recorded before and after angioplasty. RESULTS A total of 12 patients underwent iFR-guided angioplasty during the study period. The median patient age was 69.5 yr (range 48-81 yr). All patients had symptomatic intracranial arterial stenosis (3-basilar, 2-vertebral, 6-middle cerebral, 1-internal carotid). Preangioplasty stenosis ranged from 55% to 90%. The median postangioplasty reduction in stenosis was 17% (range 9%-30%). Preangioplasty values ranged from 0.30 to 0.40 (n = 4). Postangioplasty values ranged from 0.6 to 0.9 (n = 5). iFR values improved considerably in all patients. No procedure-related complications occurred. The median follow-up was 8.9 mo (range 3-25 mo). Follow-up outcomes were favorable in 10 patients. CONCLUSION iFR measurement before and after intracranial angioplasty is feasible. It may be used to assess the adequacy of intracranial angioplasty.

show abstract

Physiome approach for the analysis of vascular flow reserve in the heart and brain

Cited by 5 publications

References 66 publications

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

State-of-the-Art Computational Models of Circle of Willis With Physiological Applications: A Review

Prediction of Plaque Progression in Coronary Arteries Based on a Novel Hemodynamic Index Calculated From Virtual Stenosis Method

Instantaneous Wave-Free Ratio Measurement During Intracranial Submaximal Angioplasty: Case Series and 2-Dimensional Operative Video

Contact Info

Product

Resources

About