Arterial geometry affects hemodynamics *1A potential risk factor for atherosclerosis

Friedman, Morton H.; Deters, O. J.; Mark, F.; Bargeron, C. B.; Hutchins, Grover M.

doi:10.1016/0021-9150(83)90113-2

Cited by 239 publications

(115 citation statements)

References 16 publications

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“…1 Because these forces are determined primarily by lumen geometry, it has been suggested that certain individuals might be at increased risk of developing atherosclerosis by virtue of their particular arterial geometry. 2 These local risk hypotheses are predicated on the assumption of wide interindividual variations in exposure to "disturbed" blood flow, something yet to be tested rigorously.…”

mentioning

confidence: 99%

Geometry of the Carotid Bifurcation Predicts Its Exposure to Disturbed Flow

Lee

Antiga

Spence

et al. 2008

Stroke

318

291

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Background and Purpose-That certain vessels might be at so-called geometric risk of atherosclerosis rests on assumptions of wide interindividual variations in disturbed flow and of a direct relationship between disturbed flow and lumen geometry. In testing these often-implicit assumptions, the present study aimed to determine whether investigations of local risk factors in atherosclerosis can indeed rely on surrogate geometric markers of disturbed flow. Methods-Computational fluid dynamics simulations were performed on carotid bifurcation geometries derived from MRI of 25 young adults. Disturbed flow was quantified as the surface area exposed to low and oscillatory shear beyond objectively-defined thresholds. Interindividual variations in disturbed flow were contextualized with respect to effects of uncertainties in imaging and geometric reconstruction. Relationships between disturbed flow and various geometric factors were tested via multiple regression. Results-Relatively wide variations in disturbed flow were observed among the 50 vessels. Multiple regression revealed a significant (PϽ0.002) relationship between disturbed flow and both proximal area ratio (␤Ϸ0.5) and bifurcation tortuosity (␤ϷϪ0.4), but not bifurcation angle, planarity, or distal area ratio. These findings were shown to be insensitive to assumptions about the flow conditions and to the choice of disturbed flow indicator and threshold. Conclusions-Certain geometric features of the young adult carotid bifurcation are robust surrogate markers of its exposure to disturbed flow. It may therefore be reasonable to consider large-scale retrospective or prospective imaging studies of local risk factors for atherosclerosis without the need for time-consuming and expensive flow imaging or CFD studies.

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mentioning

confidence: 99%

Geometry of the Carotid Bifurcation Predicts Its Exposure to Disturbed Flow

Lee

Antiga

Spence

et al. 2008

Stroke

318

291

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“…The observed morphometric differences imply differences in hemodynamics, by virtue of the influence of geometry on blood flow patterns [5][6][7]40] . In particular, the tilt and twist angles quantify the "distortion" of the aorta, which is expected to impart an abrupt change in the direction of blood flow.…”

Section: Discussionmentioning

confidence: 96%

“…Examples include the detection of anatomical abnormalities [1] , preoperative planning and follow-up of patients with cardiovascular diseases [2][3][4] , risk prediction associated with atherosclerosis development [5][6][7][8] , and cardiovascular devices design support [9] . In particular, morphometry-based analysis finds massive adoption for current research of mapping the effects of natural aging on the structural and functional properties of the aorta [10][11][12][13][14][15][16][17] .…”

Section: Introductionmentioning

confidence: 99%

Cardiovascular morphometry with high-resolution 3D magnetic resonance: First application to left ventricle diastolic dysfunction

Gallo

Vardoulis

Monney

et al. 2017

Medical Engineering & Physics

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a b s t r a c tIn this study, an image-based morphometry toolset quantifying geometric descriptors of the left ventricle, aorta and their coupling is applied to investigate whether morphological information can differentiate between subjects affected by diastolic dysfunction (patient group) and their age-matched controls (control group). The ventriculo-aortic region of 20 total participants (10 per group) were segmented from highresolution 3D magnetic resonance images, from the left ventricle to the descending aorta. Each geometry was divided into segments in correspondence of anatomical landmarks. The orientation of each segment was estimated by least-squares fitting of the respective centerline segment to a plane. Curvature and torsion of vessels' centerlines were automatically extracted, and aortic arch was characterized in terms of height and width.Tilt angle between subsequent best-fit planes in the left ventricle and ascending aorta regions, curvature and cross-sectional area in the descending aorta resulted significantly different between patient and control groups ( P -values < 0.05). Aortic volume ( P = 0.04) and aortic arch width ( P = 0.03) resulted significantly different between the two groups. The observed morphometric differences underlie differences in hemodynamics, by virtue of the influence of geometry on blood flow patterns.The present exploratory analysis does not determine if aortic geometric changes precede diastolic dysfunction, or vice versa. However, this study (1) underlines differences between healthy and diastolic dysfunction subjects, and (2) provides geometric parameters that might help to determine early aortic geometric alterations and potentially prevent evolution toward advanced diastolic dysfunction.

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“…The accuracy of the segmentation is crucial for the final CFD simulation result [14,15,16]. We used a fast level set algorithm originally proposed by [17].…”

Section: Segmentationmentioning

confidence: 99%

Feasibility of Patient Specific Aortic Blood Flow CFD Simulation

Svensson¹,

Gårdhagen²,

Heiberg³

et al. 2006

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006

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Abstract. Patient specific modelling of the blood flow through the human aorta is performed using computational fluid dynamics (CFD) and magnetic resonance imaging (MRI). Velocity patterns are compared between computer simulations and measurements. The workflow includes several steps: MRI measurement to obtain both geometry and velocity, an automatic levelset segmentation followed by meshing of the geometrical model and CFD setup to perform the simulations follwed by the actual simulations. The computational results agree well with the measured data.

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Arterial geometry affects hemodynamics *1A potential risk factor for atherosclerosis

Cited by 239 publications

References 16 publications

Geometry of the Carotid Bifurcation Predicts Its Exposure to Disturbed Flow

Geometry of the Carotid Bifurcation Predicts Its Exposure to Disturbed Flow

Cardiovascular morphometry with high-resolution 3D magnetic resonance: First application to left ventricle diastolic dysfunction

Feasibility of Patient Specific Aortic Blood Flow CFD Simulation

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