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Gavrilenko A.V.

Russian Scientific Center for Surgery named after Academician B.V. Petrovsky;
Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)

Abramyan A.V.

Russian Scientific Center for Surgery named after Academician B.V. Petrovsky

Lopatkin E.I.

Sechenov First Moscow State Medical University (Sechenov University)

Zhi L.

Sechenov First Moscow State Medical University (Sechenov University)

Rasulov K.G.

Sechenov First Moscow State Medical University (Sechenov University)

Shalygo M.A.

Sechenov First Moscow State Medical University (Sechenov University)

Pogorelskaya E.A.

Sechenov First Moscow State Medical University (Sechenov University)

Fomina E.V.

Sechenov First Moscow State Medical University (Sechenov University)

Risk factors of internal carotid artery tortuosity

Authors:

Gavrilenko A.V., Abramyan A.V., Lopatkin E.I., Zhi L., Rasulov K.G., Shalygo M.A., Pogorelskaya E.A., Fomina E.V.

More about the authors

Journal: Russian Journal of Cardiology and Cardiovascular Surgery. 2025;18(2): 150‑155

DOI: 10.17116/kardio202518021150

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Table of contents

RISK FACTORS OF INTERNAL CAROTID ARTERY TORTUOSITY
RISK FACTORS OF INTERNAL CAROTID ARTERY TORTUOSITY

To cite this article:

Gavrilenko AV, Abramyan AV, Lopatkin EI, et al. . Risk factors of internal carotid artery tortuosity. Russian Journal of Cardiology and Cardiovascular Surgery. 2025;18(2):150‑155. (In Russ.)
https://doi.org/10.17116/kardio202518021150

Подписка 2025-2 (Russian Journal of Cardiology and Cardiovascular Surgery)
 
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OBJECTIVE

To determine the main factors contributing to internal carotid artery (ICA) tortuosity.

MATERIAL AND METHODS

The study included 180 patients divided into two groups: the study group (150 patients) and the control group (30 patients). Data were collected using a standardized questionnaire and medical records. CT angiography data were used including degree of ICA tortuosity and stenosis, as well as tortuosity index as ratio of length of tortuous and straight segments.

RESULTS

The risk assessment model for ICA tortuosity demonstrated high effectiveness with AUC 0.883 and statistical significance (p<0.001). The threshold value of logistic function was 0.846 with sensitivity and specificity 88.5% and 71.9%, respectively. Combination of risk factors such as arterial hypertension, age over 60 years and dyslipidemia significantly increases the likelihood of ICA tortuosity.

CONCLUSION

The study confirmed arterial hypertension, age over 60 years, smoking and dyslipidemia as the main risk factors of ICA tortuosity.

Keywords:

tortuosity
risk factors
internal carotid artery

Authors:

Gavrilenko A.V.

Russian Scientific Center for Surgery named after Academician B.V. Petrovsky;
Federal State Autonomous Educational Institution of Higher Education I.M. Sechenov First Moscow State Medical University of the Ministry of Health of the Russian Federation (Sechenov University)

Abramyan A.V.

Russian Scientific Center for Surgery named after Academician B.V. Petrovsky

Lopatkin E.I.

Sechenov First Moscow State Medical University (Sechenov University)

Zhi L.

Sechenov First Moscow State Medical University (Sechenov University)

Rasulov K.G.

Sechenov First Moscow State Medical University (Sechenov University)

Shalygo M.A.

Sechenov First Moscow State Medical University (Sechenov University)

Pogorelskaya E.A.

Sechenov First Moscow State Medical University (Sechenov University)

Fomina E.V.

Sechenov First Moscow State Medical University (Sechenov University)

Received:

20.10.2024

Accepted:

10.11.2024

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