P3372 Correlation of severity of aortic valve stenosis meassured by Doppler echocardiography to magnitude of calcium deposits in aortic valve using multislice computed tomography

2003 ◽  
Vol 24 (5) ◽  
pp. 647
Author(s):  
A MURA
Keyword(s):  
Computed Tomography ◽  
Aortic Valve ◽  
Aortic Valve Stenosis ◽  
Doppler Echocardiography ◽  
Multislice Computed Tomography ◽  
Calcium Deposits

scholarly journals Accuracy of Multislice Computed Tomography in the Preoperative Assessment of Coronary Disease in Patients With Aortic Valve Stenosis

2006 ◽  
Vol 47 (10) ◽  
pp. 2020-2024 ◽  
Author(s):  
Martine Gilard ◽  
Jean-Christophe Cornily ◽  
Pierre-Yves Pennec ◽  
Cedric Joret ◽  
Grégoire Le Gal ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Aortic Valve ◽  
Coronary Disease ◽  
Aortic Valve Stenosis ◽  
Multislice Computed Tomography ◽  
Preoperative Assessment

Calcium scoring of aortic valve calcification in aortic valve stenosis with a multislice computed tomography scanner: non-enhanced versus contrast-enhanced studies

2005 ◽  
Vol 46 (6) ◽  
pp. 561-566 ◽  
Author(s):  
G. Mühlenbruch ◽  
J. E. Wildberger ◽  
R. Koos ◽  
M. Das ◽  
C. Thomas ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Aortic Valve ◽  
Aortic Valve Stenosis ◽  
Multislice Computed Tomography ◽  
Contrast Material ◽  
Agatston Score ◽  
Calcium Scoring ◽  
Aortic Valve Calcification ◽  
P Values ◽  
Contrast Enhanced

Purpose: Previous studies have shown a positive correlation between amount of aortic valve calcification (AVC) and degree of aortic valve stenosis (AVS). We have investigated whether calcium scoring of AVC from contrast-enhanced images is reliable. Material and Methods: Nineteen patients with suspected AVS underwent retrospectively ECG-gated multislice computed tomography (MSCT). Standardized scan protocols were applied prior to (120 KV, 133 mAseff) and after (120 KV, 500 mAseff) the administration of non-ionic contrast material. Image reconstruction was performed at 60% of the RR interval (slice thickness 3 mm, reconstruction increment 2 mm). AVC was quantified using Agatston score and calcium mass. The number of lesions was calculated. All non-enhanced images were scored using thresholds of 130 HU and 350 HU. Contrast-enhanced images were assessed with a threshold of 350 HU exclusively. Results: Fifteen patients with AVCs were included in the statistical analysis. The mean Agatston score (calcium mass) in non-enhanced images was 2888.4±2844.4 (694.2 mg±869.3 mg). Altering the threshold from 130 HU to 350 HU led to a 58.2% (30.5%) decrease in the AVC score ( P values <0.001). Contrast-enhanced images showed an increased Agatston score (calcium mass) of 56.2% (33.5%) compared to non-enhanced images ( P values <0.05) with the same threshold of 350 HU. Conclusion: Quantification of AVC from contrast-enhanced images is not reliable, as contrast material simulates calcification.

scholarly journals Multislice Computed Tomography for Detection of Patients With Aortic Valve Stenosis and Quantification of Severity

2006 ◽  
Vol 47 (7) ◽  
pp. 1410-1417 ◽  
Author(s):  
Gudrun M. Feuchtner ◽  
Wolfgang Dichtl ◽  
Guy J. Friedrich ◽  
Mathias Frick ◽  
Hannes Alber ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Aortic Valve ◽  
Aortic Valve Stenosis ◽  
Multislice Computed Tomography

scholarly journals Correlation of Micro-Computed Tomography Assessment of Valvular Mineralisation with Histopathological and Immunohistochemical Features of Calcific Aortic Valve Disease

2019 ◽  
Vol 9 (1) ◽  
pp. 29
Author(s):  
Guillermo Solache-Berrocal ◽  
Ana María Barral-Varela ◽  
Sheila Areces-Rodríguez ◽  
Alejandro Junco-Vicente ◽  
Aitana Vallina-Álvarez ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Aortic Valve ◽  
Molecular Mechanisms ◽  
Soft Tissues ◽  
Ex Vivo ◽  
Developed Countries ◽  
Macrophage Infiltration ◽  
Micro Computed Tomography ◽  
Calcific Aortic Valve Disease ◽  
Calcium Deposits

Aortic valve stenosis is a serious disease with increasing prevalence in developed countries. Research aimed at uncovering the molecular mechanisms behind its main cause, aortic valve calcification, is thus crucial for the development of future therapies. It is frequently difficult to measure the extent of mineralisation in soft tissues and some methods require the destruction of the sample. Micro-computed tomography (µCT), a non-destructive technique, was used to quantify the density and volume of calcium deposits on cusps from 57 explanted aortic valves. Conventional and immunostaining techniques were used to characterise valve tissue degeneration and the inflammatory and osteogenic stage with several markers. Although most of the analysed cusps came from severe stenosis patients, the µCT parameter bone volume/tissue volume ratio distinguished several degrees of mineralisation that correlated with the degree of structural change in the tissue and the amount of macrophage infiltration as determined by CD68 immunohistochemistry. Interestingly, exosomal markers CD63 and Alix co-localised with macrophage infiltration surrounding calcium deposits, suggesting that those vesicles could be produced at least in part by these immune cells. In conclusion, we have shown that the ex vivo assessment of aortic valve mineralisation with µCT reflects the molecular and cellular changes in pathological valves during progression towards stenosis. Thus, our results give additional validity to quantitative μCT as a convenient laboratory tool for basic research on this type of cardiovascular calcification.

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