Cargando…
Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes
Background: Different imaging techniques, such as echocardiography (ECHO) and CT, allow to assess aortic stenosis (AS) severity and could be used to study its progression. But only PET/CT open opportunities to assess activity of valvular inflammation and calcification in vivo. The aim of this study...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171046/ https://www.ncbi.nlm.nih.gov/pubmed/35685632 http://dx.doi.org/10.3389/fphar.2022.909975 |
_version_ | 1784721574556860416 |
---|---|
author | Murtazalieva, Patimat Ryzhkova, Darya Malev, Eduard Zhiduleva, Ekaterina Moiseeva, Olga |
author_facet | Murtazalieva, Patimat Ryzhkova, Darya Malev, Eduard Zhiduleva, Ekaterina Moiseeva, Olga |
author_sort | Murtazalieva, Patimat |
collection | PubMed |
description | Background: Different imaging techniques, such as echocardiography (ECHO) and CT, allow to assess aortic stenosis (AS) severity and could be used to study its progression. But only PET/CT open opportunities to assess activity of valvular inflammation and calcification in vivo. The aim of this study was to assess prognostic value of valvular inflammation and calcification measured by (18)F-FDG and (18)F-NaF PET/CT in patients with tricuspid (TAV) and bicuspid aortic valve (BAV). Methods: The study included 71 patients aged 40–70 years with mild, moderate and severe asymptomatic calcific AS. Patients were divided into two groups according to valve morphology: with BAV and TAV. All patients underwent standard ECHO, CT calcium scoring PET/CT with (18)F-NaF and (18)F-FDG. All patients were evaluated during a follow-up visit with evaluation of ECHO parameters. (16.8 ± 4.2 months). Results: TAV and BAV groups were comparable in AS severity by ECHO (peak aortic jet velocity (Vmax): 2.90 [2.60; 3.50] vs. 2.96 [2.55; 3.31] m/s, p = 0.83). TBR max (18)F-FDG did not vary in TAV and BAV patients (1.15 [1.06; 1.23] vs. 1.11 [1.03; 1.20], p = 0.39). Both groups did not differ in valvular calcification degree (Agatston score 1,058 [440; 1798] vs. 1,128 [533; 2,360], p = 0.55) and calcification activity assessed by (18)F-NaF uptake level (TBR max 1.50 [1.30; 1.78] vs. 1.48 [1.27; 1.83], p = 0.97). (18)F-NaF TBR max was associated with AS severity measured by Vmax in men and women with TAV (r = 0.54; p = 0.04 vs. r = 0.53; p = 0.03). In BAV group this relationship was true only in female patients (r = 0.1; p = 0.67 vs. r = 0.7; p = 0.0004). There was no association between Vmax and TBR max (18)F-FDG was revealed in TAV and BAV groups. During follow-up period, the most important positive predictors of AS progression in TAV obtained by multinomial logistic regression analysis were Vmax, and (18)F-NaF TBR. Whereas in BAV the highest predictive value showed model included age and Vmax. Conclusion: (18)F-NaF PET/CT may be considered as the valuable predictor for hemodynamic progression of calcific AS in case of TAV. (18)F-FDG PET/CT does not play a significant role to predict the AS progression. |
format | Online Article Text |
id | pubmed-9171046 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91710462022-06-08 Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes Murtazalieva, Patimat Ryzhkova, Darya Malev, Eduard Zhiduleva, Ekaterina Moiseeva, Olga Front Pharmacol Pharmacology Background: Different imaging techniques, such as echocardiography (ECHO) and CT, allow to assess aortic stenosis (AS) severity and could be used to study its progression. But only PET/CT open opportunities to assess activity of valvular inflammation and calcification in vivo. The aim of this study was to assess prognostic value of valvular inflammation and calcification measured by (18)F-FDG and (18)F-NaF PET/CT in patients with tricuspid (TAV) and bicuspid aortic valve (BAV). Methods: The study included 71 patients aged 40–70 years with mild, moderate and severe asymptomatic calcific AS. Patients were divided into two groups according to valve morphology: with BAV and TAV. All patients underwent standard ECHO, CT calcium scoring PET/CT with (18)F-NaF and (18)F-FDG. All patients were evaluated during a follow-up visit with evaluation of ECHO parameters. (16.8 ± 4.2 months). Results: TAV and BAV groups were comparable in AS severity by ECHO (peak aortic jet velocity (Vmax): 2.90 [2.60; 3.50] vs. 2.96 [2.55; 3.31] m/s, p = 0.83). TBR max (18)F-FDG did not vary in TAV and BAV patients (1.15 [1.06; 1.23] vs. 1.11 [1.03; 1.20], p = 0.39). Both groups did not differ in valvular calcification degree (Agatston score 1,058 [440; 1798] vs. 1,128 [533; 2,360], p = 0.55) and calcification activity assessed by (18)F-NaF uptake level (TBR max 1.50 [1.30; 1.78] vs. 1.48 [1.27; 1.83], p = 0.97). (18)F-NaF TBR max was associated with AS severity measured by Vmax in men and women with TAV (r = 0.54; p = 0.04 vs. r = 0.53; p = 0.03). In BAV group this relationship was true only in female patients (r = 0.1; p = 0.67 vs. r = 0.7; p = 0.0004). There was no association between Vmax and TBR max (18)F-FDG was revealed in TAV and BAV groups. During follow-up period, the most important positive predictors of AS progression in TAV obtained by multinomial logistic regression analysis were Vmax, and (18)F-NaF TBR. Whereas in BAV the highest predictive value showed model included age and Vmax. Conclusion: (18)F-NaF PET/CT may be considered as the valuable predictor for hemodynamic progression of calcific AS in case of TAV. (18)F-FDG PET/CT does not play a significant role to predict the AS progression. Frontiers Media S.A. 2022-05-24 /pmc/articles/PMC9171046/ /pubmed/35685632 http://dx.doi.org/10.3389/fphar.2022.909975 Text en Copyright © 2022 Murtazalieva, Ryzhkova, Malev, Zhiduleva and Moiseeva. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Pharmacology Murtazalieva, Patimat Ryzhkova, Darya Malev, Eduard Zhiduleva, Ekaterina Moiseeva, Olga Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes |
title | Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes |
title_full | Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes |
title_fullStr | Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes |
title_full_unstemmed | Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes |
title_short | Prediction of Aortic Stenosis Progression by (18)F-FDG and (18)F-NaF PET/CT in Different Aortic Valve Phenotypes |
title_sort | prediction of aortic stenosis progression by (18)f-fdg and (18)f-naf pet/ct in different aortic valve phenotypes |
topic | Pharmacology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171046/ https://www.ncbi.nlm.nih.gov/pubmed/35685632 http://dx.doi.org/10.3389/fphar.2022.909975 |
work_keys_str_mv | AT murtazalievapatimat predictionofaorticstenosisprogressionby18ffdgand18fnafpetctindifferentaorticvalvephenotypes AT ryzhkovadarya predictionofaorticstenosisprogressionby18ffdgand18fnafpetctindifferentaorticvalvephenotypes AT maleveduard predictionofaorticstenosisprogressionby18ffdgand18fnafpetctindifferentaorticvalvephenotypes AT zhidulevaekaterina predictionofaorticstenosisprogressionby18ffdgand18fnafpetctindifferentaorticvalvephenotypes AT moiseevaolga predictionofaorticstenosisprogressionby18ffdgand18fnafpetctindifferentaorticvalvephenotypes |