Calcium Pattern Assessment in Patients with Severe Aortic Stenosis Via the Chou’s 5-Steps Rule

Author(s): Agata Wiktorowicz, Adrian Wit, Artur Dziewierz, Lukasz Rzeszutko, Dariusz Dudek, Pawel Kleczynski*.

Journal Name: Current Pharmaceutical Design

Volume 25 , Issue 35 , 2019

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Abstract:

Background: Progression of aortic valve calcifications (AVC) leads to aortic valve stenosis (AS). Importantly, the AVC degree has a great impact on AS progression, treatment selection and outcomes. Methods of AVC assessment do not provide accurate quantitative evaluation and analysis of calcium distribution and deposition in a repetitive manner.

Objective: We aim to prepare a reliable tool for detailed AVC pattern analysis with quantitative parameters.

Methods: We analyzed computed tomography (CT) scans of fifty patients with severe AS using a dedicated software based on MATLAB version R2017a (MathWorks, Natick, MA, USA) and ImageJ version 1.51 (NIH, USA) with the BoneJ plugin version 1.4.2 with a self-developed algorithm.

Results: We listed unique parameters describing AVC and prepared 3D AVC models with color pointed calcium layer thickness in the stenotic aortic valve. These parameters were derived from CT-images in a semi-automated and repeatable manner. They were divided into morphometric, topological and textural parameters and may yield crucial information about the anatomy of the stenotic aortic valve.

Conclusion: In our study, we were able to obtain and define quantitative parameters for calcium assessment of the degenerated aortic valves. Whether the defined parameters are able to predict potential long-term outcomes after treatment, requires further investigation.

Keywords: Aortic stenosis, calcifications, computer modelling, computed tomography, quantification, calcium distribution.

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VOLUME: 25
ISSUE: 35
Year: 2019
Page: [3769 - 3775]
Pages: 7
DOI: 10.2174/1381612825666190930101258
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