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

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.

journal_name

Curr Pharm Des

authors

Wiktorowicz A,Wit A,Dziewierz A,Rzeszutko L,Dudek D,Kleczynski P

doi

10.2174/1381612825666190930101258

subject

Has Abstract

pub_date

2019-01-01 00:00:00

pages

3769-3775

issue

35

eissn

1381-6128

issn

1873-4286

pii

CPD-EPUB-101078

journal_volume

25

pub_type

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