Szczegóły publikacji
Opis bibliograficzny
Calcium pattern assessment in patients with severe aortic stenosis via the Chou’s 5-steps rule / Agata Wiktorowicz, Adrian WIT, Artur Dziewierz, Lukasz Rzeszutko, Dariusz Dudek, Pawel Kleczynski // Current Pharmaceutical Design ; ISSN 1381-6128. — 2019 — vol. 25 iss. 35, s. 3769–3775. — Bibliogr. s. 3775, Abstr.
Autorzy (6)
- Wiktorowicz Agata
- AGHWit Adrian
- Dziewierz Artur
- Rzeszutko Łukasz
- Dudek Dariusz
- Kleczyński Paweł
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 126794 |
|---|---|
| Data dodania do BaDAP | 2020-01-22 |
| DOI | 10.2174/1381612825666190930101258 |
| Rok publikacji | 2019 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Current Pharmaceutical Design |
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.
