Clinical application of pulsatility index

Wielicka, Melanie; Neubauer-Geryk, Jolanta; Kozera, Grzegorz; Bieniaszewski, Leszek

doi:10.5603/mrj.a2020.0016

Cited by 24 publications

(21 citation statements)

References 43 publications

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“…2 I , colored traces). Pulsatility indices, defined as the difference between the peak systolic flow and minimum diastolic flow velocity divided by the mean velocity throughout the cardiac cycle ( 34 ), were calculated for the same vessels with and without anesthesia (six arterioles from two mice and eight venules from four mice; Fig. 2 K ).…”

Section: Resultsmentioning

confidence: 99%

Ultrafast two-photon fluorescence imaging of cerebral blood circulation in the mouse brain in vivo

Meng

Zhong

Zhang

et al. 2022

Proc. Natl. Acad. Sci. U.S.A.

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Significance Characterizing blood flow by tracking individual red blood cells as they move through vessels is essential for understanding vascular function. With high spatial resolution, two-photon fluorescence microscopy is the method of choice for imaging blood flow at the cellular level. However, its application is limited to a low flow speed regimen in anesthetized animals by its slow focus scanning mechanism. Using an ultrafast scanning module, we demonstrated two-photon fluorescence imaging of blood flow at 1,000 two-dimensional frames and 1,000,000 one-dimensional line scans per second in the brains of awake mice. These ultrafast measurements enabled us to study hemodynamic and fluid mechanical regimens beyond the reach of conventional methods.

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Section: Resultsmentioning

confidence: 99%

Ultrafast two-photon fluorescence imaging of cerebral blood circulation in the mouse brain in vivo

Meng

Zhong

Zhang

et al. 2022

Proc. Natl. Acad. Sci. U.S.A.

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“…Although we hypothesized that ICA pulsatility index would be associated with cfPWV in the older adults, this association did not reach the threshold for significance. The ICAs have a larger diameter than the MCAs and basilar artery and previous research has demonstrated that increased arterial diameter influences pulsatility index ( 31 ). As such, we speculate that the ICAs may have higher elasticity than the MCAs and basilar artery, which may account for the slightly lower pulsatility index values in the ICA compared to the MCAs and basilar artery.…”

Section: Discussionmentioning

confidence: 99%

The Impact of Aging on the Association Between Aortic Stiffness and Cerebral Pulsatility Index

Fico

Miller

Rivera‐Rivera

et al. 2022

Front. Cardiovasc. Med.

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The central arteries dampen the pulsatile forces from myocardial contraction, limiting the pulsatility that reaches the cerebral vasculature, although there are limited data on this relationship with aging in humans. The purpose of this study was to determine the association between aortic stiffness and cerebral artery pulsatility index in young and older adults. We hypothesized that cerebral pulsatility index would be associated with aortic stiffness in older adults, but not in young adults. We also hypothesized that both age and aortic stiffness would be significant predictors for cerebral pulsatility index. This study included 23 healthy older adults (aged 62 ± 6 years) and 33 healthy young adults (aged 25 ± 4 years). Aortic stiffness was measured using carotid-femoral pulse wave velocity (cfPWV), while cerebral artery pulsatility index in the internal carotid arteries (ICAs), middle cerebral arteries (MCAs), and basilar artery were assessed using 4D Flow MRI. Cerebral pulsatility index was calculated as (maximum flow – minimum flow) / mean flow. In the combined age group, there was a positive association between cfPWV and cerebral pulsatility index in the ICAs (r = 0.487; p < 0.001), MCAs (r = 0.393; p = 0.003), and basilar artery (r = 0.576; p < 0.001). In young adults, there were no associations between cfPWV and cerebral pulsatility index in any of the arteries of interest (ICAs: r = 0.253; p = 0.156, MCAs: r = −0.059; p = 0.743, basilar artery r = 0.171; p = 0.344). In contrast, in older adults there was a positive association between cfPWV and cerebral pulsatility index in the MCAs (r = 0.437; p = 0.037) and basilar artery (r = 0.500; p = 0.015). However, the relationship between cfPWV and cerebral pulsatility index in the ICAs of the older adults did not reach the threshold for significance (r = 0.375; p = 0.078). In conclusion, age and aortic stiffness are significant predictors of cerebral artery pulsatility index in healthy adults. This study highlights the importance of targeting aortic stiffness in our increasingly aging population to reduce the burden of age-related changes in cerebral hemodynamics.

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“…Increased arterial stiffness is a strong indicator of the increased risk of mortality and cardiovascular events [19,20,21]. The PI in diabetic patients may predict cerebrovascular complications, while in hypertensive individuals reflects chronicity of the disease [19][20][21].…”

Section: Discussionmentioning

confidence: 99%

Assessment of the Willis circle flow changes and the severity of degenerative aortic stenosis and cognitive impairment

Baran¹,

Przewłocki²,

Podolec³

et al. 2021

Kardiol Pol

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Clinical application of pulsatility index

Cited by 24 publications

References 43 publications

Ultrafast two-photon fluorescence imaging of cerebral blood circulation in the mouse brain in vivo

Ultrafast two-photon fluorescence imaging of cerebral blood circulation in the mouse brain in vivo

The Impact of Aging on the Association Between Aortic Stiffness and Cerebral Pulsatility Index

Assessment of the Willis circle flow changes and the severity of degenerative aortic stenosis and cognitive impairment

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