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Arteriovenous cerebral blood flow uncoupling in TBI: observational CT perfusion study.

https://doi.org/10.56618/2071-2693_2025_17_3_54

EDN: FOLXVE

Abstract

AIM. To investigate correlations between intracranial pressure and arterial and venous cerebral blood flow (CBF) in patients with moderate to severe traumatic brain injury (TBI) and after surgical removal of intracranial hematomas.

MATERIALS AND METHODS. Patients with moderate to severe TBI (53 women; 74 men) were divided into 3 groups: group 1 (moderate TBI), group 2 (severe TBI without surgery), and group 3 (severe TBI after surgery). All patients underwent perfusion computed tomography (PCT), which was used to measure arterial and venous cerebral blood flow (CBF) in the supraclinoid sections of both internal arteries (CBF in ICA) and in the superior sagittal sinus (CBF in SSS). The obtained data were analyzed using parametric and nonparametric statistics. The significance level was accepted as p<0.05.

RESULTS. In Group I, the left and right ICA CBFs correlated significantly with each other (p<0.0001) and with the SCD CBF (p=0.048). In Group II, the left and right ICA CBFs also correlated (P<0.0000001), but not with the SSS CBF. In Group III, the ICA CBF on the side of the removed hematoma did not significantly differ from the contralateral ICA CBF (P=0.680) and did not correlate with the SSS CBF.

CONCLUSION. Increasing TBI severity is accompanied by arterial and venous CBF uncoupling in the supratentorial vessels. Further research is needed to identify the mechanisms underlying this dissociation.

About the Authors

A. V. Kivenko
Privolzhsky Research Medical University
Russian Federation

Anastasia V. KivenkoStudent at the Department of Nervous Diseases

10/1 Minin and Pozharsky square, Nizhny Novgorod, 603005



R. Adibekov
Privolzhsky Research Medical University
Russian Federation

Rakhmonali Adibekov – Student at the Department of Nervous Diseases

10/1 Minin and Pozharsky square, Nizhny Novgorod, 603005



A. A. Lazarev
Privolzhsky Research Medical University
Russian Federation

Alexander A. LazarevAssistant at the Department of Nervous Diseases

10/1 Minin and Pozharsky square, Nizhny Novgorod, 603005



G V. Kalentyev
City Clinical Hospital No. 10 of the Kanavinsky District of Nizhny Novgorod
Russian Federation

Georgy V. KalentyevDoctor

43 Chongarskaya street, Nizhny Novgorod, 603011



K. A. Trofimova
Privolzhsky Research Medical University
Russian Federation

Ksenia A. TrofimovaStudent at the Department of Nervous Diseases

10/1 Minin and Pozharsky square, Nizhny Novgorod, 603005



A. O. Trofimov
Privolzhsky Research Medical University; Saratov State Research University named after N. G. Chernyshevsky
Russian Federation

Alexey O. TrofimovCand. of Sci. (Med.), Associate Professor at the Department of Nervous Diseases, Privolzhsky Research Medical University; Senior Researcher, Saratov State Research University named after N. G. Chernyshevsky 

10/1 Minin and Pozharsky square, Nizhny Novgorod, 603005;
83 Astrakhanskaya street, Saratov, 410012



References

1. Axel L. Cerebral blood flow determination by rapidsequence computed tomography: theoretical analysis. Radiology. 1980;137(3):679–686. Doi: 10.1148/radiology.137.3.7003648.

2. Zahn C., Smith H., Hurdelbrink J., Kluesner N. Evaluation of computed tomography perfusion and angiogram use in stroke evaluation for thrombectomy at a community emergency department setting. Emergency radiology. 2023:1–9. Doi: 10.1007/s10140-023-02116-x.

3. Zhang R., Yan S., Zhong W. et al. Impaired intracranial venous outflow profiles are associated with poor outcome in stroke after reperfusion therapy: A hypoperfusion-matched intracranial venous scale. Eur J Radiol. 2023;(161):110745. Doi: 10.1016/j.ejrad.2023.110745.

4. Tao J., Cai Y., Dai Y. et al. Value of 4D CT Angiography Combined with Whole Brain CT Perfusion Imaging Feature Analysis under Deep Learning in Imaging Examination of Acute Ischemic Stroke. Computational intelligence and neuroscience. 2022:2286413. Doi: 10.1155/2022/2286413.

5. Chandrapatham K., Cardim D., Corradi F. et al. Arterial and Venous Cerebral Blood Flow Velocities in Healthy Volunteers. Acta neurochirurgica. Supplement. 2021;(131):131–134. Doi: 10.1007/978-3-030-59436-7_27.

6. Trofimov A., Kopylov A., Dobrzeniecki M. et al. Comparative Analysis of Simultaneous Transcranial Doppler and Perfusion Computed Tomography for Cerebral Perfusion Evaluation in Patients with Traumatic Brain Injury. Advances in experimental medicine and biology. 2020;(1232):55–62. Doi: 10.1007/978-3-030-34461-0_8.

7. Cardim D., Czosnyka M., Chandrapatham K. et al. (2020). Arterialand Venous Cerebral Blood Flow Velocitiesand Their Correlation in Healthy Volunteers and Traumatic Brain Injury Patients. Journal of neurosurgical anesthesiology. 2020. Doi: 10.1097/ANA.0000000000000704.

8. Czosnyka M., Hutchinson P., Balestreri M., Pickard J. Monitoring and interpretation of intracranial pressure after head injury. Acta neurochirurgica. Supplement. 2006;(96):114–118. Doi: 10.1007/3-211-30714-1_26.

9. Westermaier T., Pham M., Stetter C. et al. (2014). Value of transcranial Doppler, perfusion-CT and neurological evaluation to forecast secondary ischemia after aneurysmal SAH. Neurocritical care. 2014;20(3):406–412. Doi: 10.1007/s12028-013-9896-0.

10. van der Zijden T., Mondelaers A., Voormolen M., Parizel P. M. Flat Detector CT with Cerebral Pooled Blood Volume Perfusion in the Angiography Suite: From Diagnostics to Treatment Monitoring. Diagnostics (Basel, Switzerland). 2022;12(8):1962. Doi: 10.3390/diagnostics12081962.

11. Mills J., Mehta V., Russin J., Mack W. J. Advanced imaging modalities in the detection of cerebral vasospasm. Neurology research international. 2013: 415960. Doi: 10.1155/2013/415960.

12. Dobrzeniecki M., Trofimov A., Bragin D. E. Cerebral Arterial Compliance in Traumatic Brain Injury. Acta neurochirurgica. Supplement. 2018;(126):21–24. Doi: 10.1007/978-3-319-65798-1_5.

13. Takahashi A., Ushiki T., Abe K. et al. Cytoarchitecture of periendothelial cells in human cerebral venous vessels as compared with the scalp vein. A scanning electron microscopic study. Archives of histology and cytology. 1994;(57):331–339.

14. Chen S., Chen Y., Xu L. et al. Venous system in acute brain injury: Mechanisms of pathophysiological change and function. Experimental neurology. 2015;(272):4–10. Doi: 10.1016/j.expneurol.2015.03.007.

15. Sharples P. M., Matthews D. S. F., Eyre J. A Cerebral blood flow and metabolism in children with severe head injuries. Part 2: Cerebrovascular resistance and its determinants. Journal of Neurology, Neurosurgery and Psychiatry. 1995;(58):153–159. Doi: 10.1136/jnnp.58.2.153.

16. Eckert M. Pipe flow: a gateway to turbulence. Arch. Hist. Exact Sci. 2021;(75): 249–282. Doi: 10.1007/s00407-02000263-y.

17. Dewey R. Experimental cerebral hemodynamics. Vasomotor tone, critical closing pressure, and vascular bed resistance. J Neurosurg. 1974;41(5):597–606.


Review

For citations:


Kivenko A.V., Adibekov R., Lazarev A.A., Kalentyev G.V., Trofimova K.A., Trofimov A.O. Arteriovenous cerebral blood flow uncoupling in TBI: observational CT perfusion study. Russian Neurosurgical Journal named after Professor A. L. Polenov. 2025;17(3):54-59. (In Russ.) https://doi.org/10.56618/2071-2693_2025_17_3_54. EDN: FOLXVE

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ISSN 2071-2693 (Print)