Anatomical observations on the renal veins and inferior vena cava at magnetic resonance angiography

Kaufman, John A.; Waltman, Arthur C.; Rivitz, S. Mitchell; Geller, SC

doi:10.1007/bf00204141

Cited by 50 publications

(21 citation statements)

References 20 publications

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“…Renal vein variations were identiWed and data related with their percentages were obtained by magnetic resonance angiography (MRA) [8,17]. In the present study, however, we aimed to identify the renal vein variations and their percentages by routine lumbar spinal MRI examinations which are being readily performed in daily practice in any MRI center, instead of MRA.…”

Section: Introductionmentioning

confidence: 99%

Study of the left renal variations by means of magnetic resonance imaging

et al. 2011

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Section: Introductionmentioning

confidence: 99%

Study of the left renal variations by means of magnetic resonance imaging

et al. 2011

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“…All vessels are taken to be straight and rigid (e.g., [12][13][14][15][16]), and the IVC has an inner diameter of 23mm, per the average cava diameter in [17]. The diameters and entry angles of the common iliac and renal veins into the IVC, as noted in Fig.…”

Section: Computational Modelmentioning

confidence: 99%

Design Optimization of Vena Cava Filters: An Application to Dual Filtration Devices

Singer

Wang

Diachin³

2010

Journal of Biomechanical Engineering

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Background: Pulmonary embolism (PE) is a significant medical problem that results in over 300,000 fatalities per year. A common preventative treatment for PE is the insertion of a metallic filter into the inferior vena cava that traps thrombi before they reach the lungs. The goal of this work is to use methods of mathematical modeling and design optimization to determine the configuration of trapped thrombi that minimizes the hemodynamic disruption. The resulting configuration has implications for constructing an optimally designed vena cava filter.Approach: Computational fluid dynamics is coupled with a nonlinear optimization algorithm to determine the optimal configuration of trapped model thrombus in the inferior vena cava. The location and shape of the thrombus are parameterized, and an objective function, based on wall shear stresses, determines the worthiness of a given configuration. The methods are fully automated and demonstrate the capabilities of a design optimization framework that is broadly applicable.Results: Changes to thrombus location and shape alter the velocity contours and wall shear stress profiles significantly. For vena cava filters that trap two thrombi simultaneously, the undesirable flow dynamics past one thrombus can be mitigated by leveraging the flow past the other thrombus. Streamlining the shape of thrombus trapped along the cava wall reduces the disruption to the flow, but increases the area exposed to abnormal wall shear stress. Conclusions:Computer-based design optimization is a useful tool for developing vena cava filters. Characterizing and parameterizing the design requirements and constraints is essential for constructing devices that address clinical complications. In addition, formulating a well-defined objective function that quantifies clinical risks and benefits is needed for designing devices that are clinically viable.

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“…Two IVC anomalies were chosen, in part to investigate their possible association with DVT [23,24,25,26,27,28,29]: a left-sided IVC (0.2-0.5% of the population) and an IVC with a retroaortic left renal vein (1.7-3.4% of the population) [6]. While these specific anomalies represent less than 5% of the population, the overall incidence of renal vein anomalies is much higher (about 20-30% [30]). The CT data was segmented in Amira (Visualization Sciences Group, Burlington, MA) using a combination of region growing and intelligent scissors methods.…”

Section: Computational Modelsmentioning

confidence: 99%

A Computational Method for Predicting Inferior Vena Cava Filter Performance on a Patient-Specific Basis

Aycock

Campbell

Manning

et al. 2014

Journal of Biomechanical Engineering

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Anatomical observations on the renal veins and inferior vena cava at magnetic resonance angiography

Abstract: Variant renal vein and IVC anatomy can be identified at MR angiography.

Cited by 50 publications

References 20 publications

Study of the left renal variations by means of magnetic resonance imaging

Study of the left renal variations by means of magnetic resonance imaging

Design Optimization of Vena Cava Filters: An Application to Dual Filtration Devices

A Computational Method for Predicting Inferior Vena Cava Filter Performance on a Patient-Specific Basis

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