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Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT

Aortic valve calcification (AVC) in aortic stenosis patients has diagnostic and prognostic implications. Little is known about the interchangeability of AVC obtained from different multidetector computed tomography (MDCT) software solutions. Contrast-enhanced MDCT data sets of 50 randomly selected a...

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Autores principales: Evertz, Ruben, Hub, Sebastian, Backhaus, Sören J., Lange, Torben, Toischer, Karl, Kowallick, Johannes T., Hasenfuß, Gerd, Schuster, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432112/
https://www.ncbi.nlm.nih.gov/pubmed/34501418
http://dx.doi.org/10.3390/jcm10173970
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author Evertz, Ruben
Hub, Sebastian
Backhaus, Sören J.
Lange, Torben
Toischer, Karl
Kowallick, Johannes T.
Hasenfuß, Gerd
Schuster, Andreas
author_facet Evertz, Ruben
Hub, Sebastian
Backhaus, Sören J.
Lange, Torben
Toischer, Karl
Kowallick, Johannes T.
Hasenfuß, Gerd
Schuster, Andreas
author_sort Evertz, Ruben
collection PubMed
description Aortic valve calcification (AVC) in aortic stenosis patients has diagnostic and prognostic implications. Little is known about the interchangeability of AVC obtained from different multidetector computed tomography (MDCT) software solutions. Contrast-enhanced MDCT data sets of 50 randomly selected aortic stenosis patients were analysed using three different software vendors (3Mensio, CVI42, Syngo.Via). A subset of 10 patients were analysed twice for the estimation of intra-observer variability. Intra- and inter-observer variability were determined using the ICC reliability method, Bland-Altman analysis and coefficients of variation. No differences were revealed between the software solutions in the AVC calculations (3Mensio 941 ± 623, Syngo.Via 948 mm(3) ± 655, CVI42 941 ± 637; p = 0.455). The best inter-vendor agreement was found between the CVI42 and the Syngo.Via (ICC 0.997 (CI 0.995–0.998)), followed by the 3Mensio and the CVI42 (ICC 0.996 (CI 0.922–0.998)), and the 3Mensio and the Syngo.Via (ICC 0.992 (CI 0.986–0.995)). There was excellent intra- (3Mensio: ICC 0.999 (0.995–1.000); CVI42: ICC 1.000 (0.999–1.000); Syngo.Via: ICC 0.998 (0.993–1.000)) and inter-observer variability (3Mensio: ICC 1.000 (0.999–1.000); CVI42: ICC 1.000 (1.000–1.000); Syngo.Via: ICC 0.996 (0.985–0.999)) for all software types. Contrast-enhanced MDCT-derived AVC scores are interchangeable between and reproducible within different commercially available software solutions. This is important since sufficient reproducibility, interchangeability and valid results represent prerequisites for accurate TAVR planning and its widespread clinical use.
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spelling pubmed-84321122021-09-11 Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT Evertz, Ruben Hub, Sebastian Backhaus, Sören J. Lange, Torben Toischer, Karl Kowallick, Johannes T. Hasenfuß, Gerd Schuster, Andreas J Clin Med Article Aortic valve calcification (AVC) in aortic stenosis patients has diagnostic and prognostic implications. Little is known about the interchangeability of AVC obtained from different multidetector computed tomography (MDCT) software solutions. Contrast-enhanced MDCT data sets of 50 randomly selected aortic stenosis patients were analysed using three different software vendors (3Mensio, CVI42, Syngo.Via). A subset of 10 patients were analysed twice for the estimation of intra-observer variability. Intra- and inter-observer variability were determined using the ICC reliability method, Bland-Altman analysis and coefficients of variation. No differences were revealed between the software solutions in the AVC calculations (3Mensio 941 ± 623, Syngo.Via 948 mm(3) ± 655, CVI42 941 ± 637; p = 0.455). The best inter-vendor agreement was found between the CVI42 and the Syngo.Via (ICC 0.997 (CI 0.995–0.998)), followed by the 3Mensio and the CVI42 (ICC 0.996 (CI 0.922–0.998)), and the 3Mensio and the Syngo.Via (ICC 0.992 (CI 0.986–0.995)). There was excellent intra- (3Mensio: ICC 0.999 (0.995–1.000); CVI42: ICC 1.000 (0.999–1.000); Syngo.Via: ICC 0.998 (0.993–1.000)) and inter-observer variability (3Mensio: ICC 1.000 (0.999–1.000); CVI42: ICC 1.000 (1.000–1.000); Syngo.Via: ICC 0.996 (0.985–0.999)) for all software types. Contrast-enhanced MDCT-derived AVC scores are interchangeable between and reproducible within different commercially available software solutions. This is important since sufficient reproducibility, interchangeability and valid results represent prerequisites for accurate TAVR planning and its widespread clinical use. MDPI 2021-09-02 /pmc/articles/PMC8432112/ /pubmed/34501418 http://dx.doi.org/10.3390/jcm10173970 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Evertz, Ruben
Hub, Sebastian
Backhaus, Sören J.
Lange, Torben
Toischer, Karl
Kowallick, Johannes T.
Hasenfuß, Gerd
Schuster, Andreas
Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT
title Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT
title_full Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT
title_fullStr Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT
title_full_unstemmed Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT
title_short Head-to-Head Comparison of Different Software Solutions for AVC Quantification Using Contrast-Enhanced MDCT
title_sort head-to-head comparison of different software solutions for avc quantification using contrast-enhanced mdct
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432112/
https://www.ncbi.nlm.nih.gov/pubmed/34501418
http://dx.doi.org/10.3390/jcm10173970
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