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Quantification of neurovascular compliance with retrospectively gated phase-contrast MRI

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Abstract

Objective

Neurovascular compliance (NVC) is the change in the brain’s arterial tree blood volume, ΔV, divided by the change in intra-vascular blood pressure, ΔP, during the cardiac cycle. The primary aim of this work was to evaluate the performance of MRI measurement of NVC obtained from time-resolved measurements of internal carotid artery (ICA) and vertebral artery (VA) flow rates. A secondary aim was to explore whether NVC could be estimated from common carotid (CCA) flow in conjunction with prior knowledge of mean ICA and VA fractional flow rates, given the small cross-section of ICA and VA in some populations, in particular small children.

Methods

ΔV was quantified from the blood flow rate measured at the ICA and VA for actual NVC derivation. It was further estimated from individually measured CCA flow rate and mean flow fractions ICA/CCA and VA/CCA (which could alternatively be obtained from literature data), to yield estimated NVC. Time-resolved blood flow rate in CCA, ICA and VA was obtained via retrospectively-gated 2D PC-MRI at 1.5 T in healthy subjects (N = 16, 8 women, mean age 36 ± 13 years). ΔP was determined via a brachial pressure measurement.

Results

Actual and estimated mean NVC were 27 ± 15 and 38 ± 15 μL/mmHg, respectively, and the two measurements were strongly correlated (r = 0.80; p = 0.0002) with test–retest intra-class correlation coefficients of 0.964 and 0.899.

Conclusion

Both methods yielded excellent retest precision. In spite of a large bias, actual and estimated NVC were strongly correlated.

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Data availability

The data that support the fndings of this study are available from the corresponding author upon reasonable request.

References

  1. Moir ME, Klassen SA, Zamir M, Shoemaker JK (1985) Rapid changes in vascular compliance contribute to cerebrovascular adjustments during transient reductions in blood pressure in young, healthy adults. J Appl Physiol 2020(129):27–35

    Google Scholar 

  2. Moir ME, Vermeulen TD, Smith SO, Woehrle E, Matushewski BJ, Zamir M et al (2021) Vasodilatation by carbon dioxide and sodium nitroglycerin reduces compliance of the cerebral arteries in humans. Exp Physiol 106:1679–1688

    Article  CAS  PubMed  Google Scholar 

  3. Bateman GA, Levi CR, Schofield P, Wang Y, Lovett EC (2006) Quantitative measurement of cerebral haemodynamics in early vascular dementia and Alzheimer’s disease. J Clin Neurosci 13:563–568

    Article  PubMed  Google Scholar 

  4. Dobrzeniecki M, Trofimov A, Bragin DE (2018) Cerebral arterial compliance in traumatic brain injury. Acta Neurochir Suppl 126:21–24

    Article  PubMed  PubMed Central  Google Scholar 

  5. Bateman GA (2000) Vascular compliance in normal pressure hydrocephalus. AJNR Am J Neuroradiol 21:1574–1585

    CAS  PubMed  PubMed Central  Google Scholar 

  6. Tang C, Blatter DD, Parker DL (1993) Accuracy of phase-contrast flow measurements in the presence of partial-volume effects. J Magn Reson Imaging 3:377–385

    Article  CAS  PubMed  Google Scholar 

  7. Schär M, Soleimanifard S, Bonanno G, Yerly J, Hays AG, Weiss RG (2019) Precision and accuracy of cross-sectional area measurements used to measure coronary endothelial function with spiral MRI. Magn Reson Med 81:291–302

    Article  PubMed  Google Scholar 

  8. Schneider CA, Rasband WS, Eliceiri KW (2012) NIH Image to ImageJ: 25 years of image analysis. Nat Methods 9:671–675

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Netea RT, Lenders JW, Smits P, Thien T (2003) Both body and arm position significantly influence blood pressure measurement. J Hum Hypertens 17:459–462

    Article  CAS  PubMed  Google Scholar 

  10. Pickering TG, Hall JE, Appel LJ, Falkner BE, Graves J, Hill MN et al (2005) Recommendations for blood pressure measurement in humans and experimental animals. Hypertension 45:142–161

    Article  CAS  PubMed  Google Scholar 

  11. Koo TK, Li MY (2016) A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 15:155–163

    Article  PubMed  PubMed Central  Google Scholar 

  12. Krejza J, Arkuszewski M, Kasner SE, Weigele J, Ustymowicz A, Hurst RW et al (2006) Carotid artery diameter in men and women and the relation to body and neck size. Stroke 37:1103–1105

    Article  PubMed  Google Scholar 

  13. Marshall I, Papathanasopoulou P, Wartolowska K (2004) Carotid flow rates and flow division at the bifurcation in healthy volunteers. Physiol Meas 25:691–697

    Article  PubMed  Google Scholar 

  14. Cagnie B, Petrovic M, Voet D, Barbaix E, Cambier D (2006) Vertebral artery dominance and hand preference: is there a correlation? Man Ther 11:153–156

    Article  PubMed  Google Scholar 

  15. Schöning M, Walter J, Scheel P (1994) Estimation of cerebral blood flow through color duplex sonography of the carotid and vertebral arteries in healthy adults. Stroke 25:17–22

    Article  PubMed  Google Scholar 

  16. Jain V, Buckley EM, Licht DJ, Lynch JM, Schwab PJ, Naim MY et al (2014) Cerebral oxygen metabolism in neonates with congenital heart disease quantified by MRI and optics. J Cereb Blood Flow Metab 34:380–388

    Article  CAS  PubMed  Google Scholar 

  17. Ohinata Y, Makimoto K, Kawakami M, Haginomori S, Araki M, Takahashi H (1997) Blood flow in common carotid and vertebral arteries in patients with sudden deafness. Ann Otol Rhinol Laryngol 106:27–32

    Article  CAS  PubMed  Google Scholar 

  18. Sato K, Ogoh S, Hirasawa A, Oue A, Sadamoto T (2011) The distribution of blood flow in the carotid and vertebral arteries during dynamic exercise in humans. J Physiol 589:2847–2856

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Li Y, Lim C, Schär M, Jiang D, Qiao Y, Pillai JJ et al (2021) Three-dimensional assessment of brain arterial compliance: technical development, comparison with aortic pulse wave velocity, and age effect. Magn Reson Med 86:1917–1928

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Holmgren M, Wåhlin A, Dunås T, Malm J, Eklund A (2020) Assessment of cerebral blood flow pulsatility and cerebral arterial compliance with 4D flow MRI. J Magn Reson Imaging 51:1516–1525

    Article  PubMed  Google Scholar 

  21. Shahbabu B, Dasgupta A, Sarkar K, Sahoo SK (2016) Which is more accurate in measuring the blood pressure? A digital or an aneroid sphygmomanometer. J Clin Diagn Res 10:Lc11–Lc14

    CAS  PubMed  PubMed Central  Google Scholar 

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Authors and Affiliations

Authors

Contributions

Felix W. Wehrli, Michael C. Langham, and Marianne Nabbout contributed to the study conception and design. Data collection was performed by Marianne Nabbout. Data analysis was performed by all authors. The first draft of the manuscript was written by Marianne Nabbout. Felix W. Wehrli and Michael C. Langham reviewed and edited the manuscript. All authors read and approved the final manuscript.

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Correspondence to Felix W. Wehrli.

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Nabbout, M., Langham, M.C., Cottrell, C. et al. Quantification of neurovascular compliance with retrospectively gated phase-contrast MRI. Magn Reson Mater Phy 37, 307–314 (2024). https://doi.org/10.1007/s10334-023-01137-4

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  • DOI: https://doi.org/10.1007/s10334-023-01137-4

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