Preview

Innovative Medicine of Kuban

Advanced search

The Role of CT in Assessing the Degree of Aortic Valve Calcification and the Severity of Aortic Valve Stenosis

https://doi.org/10.35401/2541-9897-2026-11-2-24-31

Abstract

Objective: To evaluate the role of computed tomography in determining the degree of calcification and the severity of aortic valve stenosis.

Material and methods: In total, 118 patients with an indication for transcatheter aortic valve implantation, in accordance with clinical guidelines, were enrolled. All patients provided written informed consent to participate in the study. They were divided into 4 groups, depending on complete (concordant group) or partial (non-concordant group) agreement of aortic stenosis severity parameters based on echocardiography data. All patients underwent preoperative non-contrast cardiac CT.

Results: A positive correlation was found between the calcium score and peak transvalvular flow velocity as well as the mean systolic pressure gradient across the aortic valve: increasing calcium score was associated with higher peak velocity and mean gradient (r = 0.3465 and r = 0.3242; p = 0.0003 and p = 0.0001, respectively). It was also demonstrated that an increase in the calcium score was associated with a reduction in the effective orifice area of the aortic valve and the indexed aortic valve area (r = −0.2446 and r = −0.2679; p = 0.0076 and p = 0.0034, respectively). Statistically significant differences in calcium score were observed between groups with severe aortic stenosis and those with low-gradient stenosis (p = 0.0535), as well as moderate aortic stenosis (p = 0.0231). Discussion: The aortic valve calcium score values differ substantially from widely accepted threshold values. The identification of optimal threshold levels for grading the severity of aortic valve calcification remains a pressing issue.

Conclusion: Computed tomography enables accurate assessment of aortic valve stenosis severity, including cases of low-gradient stenosis or indexed aortic valve area values that do not correspond to severe disease.

About the Authors

B. E. Gafsi
I.M. Sechenov First Moscow State Medical University
Russian Federation

Beha E. Gafsi - Postgraduate Student, Department of Radiation Diagnostics and Radiation Therapy.

Moscow



A. V. Shirkin
National Medical Research Center of Cardiology after academician E. Chazov
Russian Federation

Andrey V. Shirkin - Radiologist, Department of Radiation Diagnostics.

Bldg. 3, 15a Akademika Chazova St., Moscow, 121552



S. K. Ternovoy
I.M. Sechenov First Moscow State Medical University; National Medical Research Center of Cardiology after academician E. Chazov
Russian Federation

Sergey K. Ternovoy - Dr. Sci. (Med.), Professor, Academician of the Russian Academy of Sciences, Head of the Department of Radiation Diagnostics and Radiation Therapy, I.M. Sechenov First Moscow SMU; Chief Researcher, Tomography Department, NMRC of Cardiology after academician E. Chazov.

Moscow



References

1. Loginova I.Yu., Kamenskaya O.V., Prokhorikhin A.A. et al. Results of endovascular treatment of aortic heart disease in patients with intermediate surgical risk. Russian Journal of Cardiology. 2018;(11):44-49. (In Russ.). https://doi.org/10.15829/1560-40712018-11-44-49.

2. Chen X, Zhang B, Zhu Y, et al. Improved transcatheter aortic valve implantation for aortic regurgitation using a snare loop-assisted device: the first preclinical experience. Eur J Clin Invest. 2016;46(8): 714-720. PMID: 27333215. https://doi.org/10.1111/eci.12653

3. Clavel MA, Pibarot P, Messika-Zeitoun D, et al. Impact of aortic valve calcification, as measured by MDCT, on survival in patients with aortic stenosis: results of an international registry study. J Am Coll Cardiol. 2014;64(12):1202-1213. PMID: 25236511. PMCID: PMC4391203. https://doi.org/10.1016/j.jacc.2014.05.066

4. Francone M, Budde RPJ, Bremerich J, et al. CT and MR imaging prior to transcatheter aortic valve implantation: standardisation of scanning protocols, measurements and reporting-a consensus document by the European Society of Cardiovascular Radiology (ESCR). Eur Radiol. 2020;30(5):2627-2650. PMID: 31489471. PMCID: PMC7160220. https://doi.org/10.1007/s00330-019-06357-8

5. Baumgartner H Chair, Hung J Co-Chair, Bermejo J, et al. Recommendations on the echocardiographic assessment of aortic valve stenosis: a focused update from the European Association of Cardiovascular Imaging and the American Society of Echocardiography. Eur Heart J Cardiovasc Imaging. 2017;18(3):254-275. PMID: 28363204. https://doi.org/10.1093/ehjci/jew335

6. Zamorano J, Gonçalves A, Lancellotti P, et al. The use of imaging in new transcatheter interventions: an EACVI review paper. Eur Heart J Cardiovasc Imaging. 2016;17(8):835-835af. PMID: 27311822. https://doi.org/10.1093/ehjci/jew043

7. Vahanian A, Beyersdorf F, Praz F, et al. 2021 ESC/EACTS Guidelines for the management of valvular heart disease. Eur Heart J. 2022;43(7):561-632. PMID: 34453165. https://doi.org/10.1093/eurheartj/ehab395

8. Popova A.N., Lashevich K.A. The role of multislice computed tomography in planning TAVI in patients with aortic stenosis. Innovative Medicine of Kuban. 2024;(4-1):22.

9. Berthelot-Richer M, Pibarot P, Capoulade R, et al. Discordant Grading of Aortic Stenosis Severity: Echocardiographic Predictors of Survival Benefit Associated With Aortic Valve Replacement. JACC Cardiovasc Imaging. 2016;9(7):797-805. PMID: 27209111. https://doi.org/10.1016/j.jcmg.2015.09.026

10. Pawade T, Clavel MA, Tribouilloy C, et al. Computed Tomography Aortic Valve Calcium Scoring in Patients With Aortic Stenosis. Circ Cardiovasc Imaging. 2018;11(3):e007146. PMID: 29555836. https://doi.org/10.1161/circimaging.117.007146

11. Shirkin A.V., Veselova T.N., Imaev T.E., Ternovoy S.K., Saidova M.A. Evaluation of computed tomography criteria for predicting paraprosthetic regurgitation after transcatheter aortic valve implantation. The Bulletin of Bakoulev Center. Cardiovascular Diseases. 2025; 26 (4): 304–311 (in Russ.). https://dx.doi.org/10.24022/1810-0694-2025-26-4-304-311

12. Veselova T.N., Shirkin A.V., Ternovoy S.K. et al. Computed tomography in the evaluation of early postoperative сomplications after transcatheter aortic valve replacement. REJR. 2023;13(2):75-82. (In Russ.). https://doi.org/10.21569/2222-7415-2023-13-2-75-82.

13. Gafsi B.E., Veselova T.N., Ternovoy S.K. et al. Computed tomography in the evaluation of the aortic root in patients with critical aortic stenosis. REJR. 2023;13(4):101-109. (In Russ.). https://doi.org/10.21569/2222-7415-2023-13-4-101-109.

14. Katagiri Y, Yamasaki K, Hatanaka N, et al. Revisiting the Aortic Valve Calcium Score in Evaluating the Severity of Aortic Stenosis in Japanese Patients A Single-Center Study. Circ Rep. 2022;4(6):274-284. PMID: 35774077. PMCID: PMC9168510. https://doi.org/10.1253/circrep.cr-22-0035

15. Tastet L, Ali M, Pibarot P, et al. Grading of Aortic Valve Calcification Severity and Risk Stratification in Aortic Stenosis. J Am Heart Assoc. 2024;13(15):e035605. PMID: 39023065. PMCID: PMC11964013. https://doi.org/10.1161/jaha.123.035605

16. Adrichem R, Hokken TW, Bouwmeester S, et al. Diagnostic Value of Aortic Valve Calcification Levels in the Assessment of Low-Gradient Aortic Stenosis. JACC Cardiovasc Imaging. 2024;17(8):847-860. PMID: 38795109. https://doi.org/10.1016/j.jcmg.2024.03.014

17. Barbarash O.L., Kashtalap V.V., Shibanova I.A. et al. Fundamental and applied aspects of coronary artery calcification. Russian Journal of Cardiology. 2020;25(3S):4005. (In Russ.). https://doi.org/10.15829/1560-4071-2020-4005


Review

For citations:


Gafsi B.E., Shirkin A.V., Ternovoy S.K. The Role of CT in Assessing the Degree of Aortic Valve Calcification and the Severity of Aortic Valve Stenosis. Innovative Medicine of Kuban. 2026;11(2):24-31. (In Russ.) https://doi.org/10.35401/2541-9897-2026-11-2-24-31

Views: 303

JATS XML

ISSN 2541-9897 (Online)