Quantitative Measurement of Erythrocyte Aggregation as a Systemic Inflammatory Marker by Ultrasound Imaging: A Systematic Review

Gyawali, Prajwal; Ziegler, Daniela; Cailhier, Jean‐François; Denault, André; Cloutier, Guy

doi:10.1016/j.ultrasmedbio.2018.02.020

Cited by 18 publications

(13 citation statements)

References 240 publications

(300 reference statements)

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“…The current SFSAE modeling was based on fitting the spectral content of the backscatter coefficient. In the light of the present study, it is conceivable to provide to intensivists a quantitative RBC aggregation measure that is related to systemic inflammation [1]. RBC aggregation assessed by the proposed SFSAE model has also been shown to be a prognostic measure of venous thrombosis [24].…”

Section: Relation Between Forearm and Leg Measurementsmentioning

confidence: 75%

“…Since there is no clinical way to monitor acute inflammation on the bedside, blood biomarkers (mainly cytokines and plasma proteins) remain the only available indicators of severe inflammation leading to possible hypotension and sepsis [1]. However, these biomarkers are not amenable to follow 110 B. Chayer et al / Pilot clinical study of quantitative ultrasound spectroscopy progression of the acute inflammatory response in critically ill patients due to the requirement of repeated blood sampling and delay in receiving these laboratory measures.…”

Section: Introductionmentioning

confidence: 99%

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Pilot clinical study of quantitative ultrasound spectroscopy measurements of erythrocyte aggregation within superficial veins

Chayer

Allard

Zhao

et al. 2020

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BACKGROUND: An enhanced inflammatory response is a trigger to the production of blood macromolecules involved in abnormally high levels of erythrocyte aggregation. OBJECTIVE: This study aimed at demonstrating for the first time the clinical feasibility of a non-invasive ultrasound-based erythrocyte aggregation quantitative measurement method for potential application in critical care medicine. METHODS: Erythrocyte aggregation was evaluated using modeling of the backscatter coefficient with the Structure Factor Size and Attenuation Estimator (SFSAE). SFSAE spectral parameters W (packing factor) and D (mean aggregate diameter) were measured within the antebrachial vein of the forearm and tibial vein of the leg in 50 healthy participants at natural flow and reduced flow controlled by a pressurized bracelet. Blood samples were also collected to measure erythrocyte aggregation ex vivo with an erythroaggregometer (parameter S 10 ). RESULTS: W and D in vivo measurements were positively correlated with the ex vivo S 10 index for both measurement sites and shear rates (correlations between 0.35-0.81, p < 0.05). Measurement at low shear rate was found to increase the sensitivity and reliability of this non-invasive measurement method. CONCLUSIONS: We behold that the SFSAE method presents systemic measures of the erythrocyte aggregation level, since results on upper and lower limbs were highly correlated.

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Section: Relation Between Forearm and Leg Measurementsmentioning

confidence: 75%

Section: Introductionmentioning

confidence: 99%

Pilot clinical study of quantitative ultrasound spectroscopy measurements of erythrocyte aggregation within superficial veins

Chayer

Allard

Zhao

et al. 2020

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“…Alternatively for blood BSC assessment on patients to assess specific conditions, such as systemic inflammation [ 77 ] or risk of deep vein thrombosis [ 78 ], a suspension of erythrocytes washed with saline to remove plasma proteins that are responsible for cell aggregation is a common practice for reference phantom calibration [ 79 ]. To avoid wave interference effects, a low 4–6% hematocrit suspension datasets are used and compared to the Percus–Yevick scattering model [ 80 , 81 ] to obtain the reference BSC(f).…”

Section: Backscatter Imagingmentioning

confidence: 99%

Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists

Cloutier

Destrempes

et al. 2021

Insights Imaging

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Quantitative ultrasound (QUS) aims at quantifying interactions between ultrasound and biological tissues. QUS techniques extract fundamental physical properties of tissues based on interactions between ultrasound waves and tissue microstructure. These techniques provide quantitative information on sub-resolution properties that are not visible on grayscale (B-mode) imaging. Quantitative data may be represented either as a global measurement or as parametric maps overlaid on B-mode images. Recently, major ultrasound manufacturers have released speed of sound, attenuation, and backscatter packages for tissue characterization and imaging. Established and emerging clinical applications are currently limited and include liver fibrosis staging, liver steatosis grading, and breast cancer characterization. On the other hand, most biological tissues have been studied using experimental QUS methods, and quantitative datasets are available in the literature. This educational review addresses the general topic of biological soft tissue characterization using QUS, with a focus on disseminating technical concepts for clinicians and specialized QUS materials for medical physicists. Advanced but simplified technical descriptions are also provided in separate subsections identified as such. To understand QUS methods, this article reviews types of ultrasound waves, basic concepts of ultrasound wave propagation, ultrasound image formation, point spread function, constructive and destructive wave interferences, radiofrequency data processing, and a summary of different imaging modes. For each major QUS technique, topics include: concept, illustrations, clinical examples, pitfalls, and future directions.

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“…There is rich literature dealing with RBC aggregation for a variety of clinical and pathological implications 8 , 12 – 14 . Recently, it has been reported that quantitative measurement of RBC aggregation could be applied as an inflammatory blood marker in critical situations 15 . Thus, it is obviously important to understand the behavior of RBC aggregation.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of spatiotemporal red blood cell aggregation under sinusoidal pulsatile flow

Lee

Paeng

2021

Sci Rep

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Previous studies on red blood cell (RBC) aggregation have elucidated the inverse relationship between shear rate and RBC aggregation under Poiseuille flow. However, the local parabolic rouleaux pattern in the arterial flow observed in ultrasonic imaging cannot be explained by shear rate alone. A quantitative approach is required to analyze the spatiotemporal variation in arterial pulsatile flow and the resulting RBC aggregation. In this work, a 2D RBC model was used to simulate RBC motion driven by interactional and hydrodynamic forces based on the depletion theory of the RBC mechanism. We focused on the interaction between the spatial distribution of shear rate and the dynamic motion of RBC aggregation under sinusoidal pulsatile flow. We introduced two components of shear rate, namely, the radial and axial shear rates, to understand the effect of sinusoidal pulsatile flow on RBC aggregation. The simulation results demonstrated that specific ranges of the axial shear rate and its ratio with radial shear rate strongly affected local RBC aggregation and parabolic rouleaux formation. These findings are important, as they indicate that the spatiotemporal variation in shear rate has a crucial role in the aggregate formation and local parabolic rouleaux under pulsatile flow.

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Quantitative Measurement of Erythrocyte Aggregation as a Systemic Inflammatory Marker by Ultrasound Imaging: A Systematic Review

Cited by 18 publications

References 240 publications

Pilot clinical study of quantitative ultrasound spectroscopy measurements of erythrocyte aggregation within superficial veins

Pilot clinical study of quantitative ultrasound spectroscopy measurements of erythrocyte aggregation within superficial veins

Quantitative ultrasound imaging of soft biological tissues: a primer for radiologists and medical physicists

Numerical simulation of spatiotemporal red blood cell aggregation under sinusoidal pulsatile flow

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