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Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study
Background: An accurate estimation of the stone burden is the key factor for predicting retrograde intra-renal surgical outcomes. Volumetric calculations better stratify stone burden than linear measurements. We developed a free software to assess the stone volume and estimate the lithotrity duratio...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573675/ https://www.ncbi.nlm.nih.gov/pubmed/37834918 http://dx.doi.org/10.3390/jcm12196274 |
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author | Peyrottes, Arthur Chicaud, Marie Fourniol, Cyril Doizi, Steeve Timsit, Marc-Olivier Méjean, Arnaud Yonneau, Laurent Lebret, Thierry Audenet, François Traxer, Olivier Panthier, Frederic |
author_facet | Peyrottes, Arthur Chicaud, Marie Fourniol, Cyril Doizi, Steeve Timsit, Marc-Olivier Méjean, Arnaud Yonneau, Laurent Lebret, Thierry Audenet, François Traxer, Olivier Panthier, Frederic |
author_sort | Peyrottes, Arthur |
collection | PubMed |
description | Background: An accurate estimation of the stone burden is the key factor for predicting retrograde intra-renal surgical outcomes. Volumetric calculations better stratify stone burden than linear measurements. We developed a free software to assess the stone volume and estimate the lithotrity duration according to 3D-segmented stone volumes, namely the Kidney Stone Calculator (KSC). The present study aimed to validate the KSC’s reproducibility in clinical cases evaluating its inter-observer and intra-observer correlations. Methods: Fifty patients that harbored renal stones were retrospectively selected from a prospective cohort. For each patient, three urologists with different experience levels in stone management made five measurements of the stone volume on non-contrast-enhanced computed tomography (NCCT) images using the KSC. Results: the overall inter-observer correlation (Kendall’s concordance coefficient) was 0.99 (p < 0.0001). All three paired analyses of the inter-observer reproducibility were superior to 0.8. The intra-observer variation coefficients varied from 4% to 6%, and Kendall’s intra-observer concordance coefficient was found to be superior to 0.98 (p < 0.0001) for each participant. Subgroup analyses showed that the segmentation of complex stones seems to be less reproductible. Conclusions: The Kidney Stone Calculator is a reliable tool for the stone burden estimation. Its extension for calculating the lithotrity duration is of major interest and could help the practitioner in surgical planning. |
format | Online Article Text |
id | pubmed-10573675 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-105736752023-10-14 Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study Peyrottes, Arthur Chicaud, Marie Fourniol, Cyril Doizi, Steeve Timsit, Marc-Olivier Méjean, Arnaud Yonneau, Laurent Lebret, Thierry Audenet, François Traxer, Olivier Panthier, Frederic J Clin Med Article Background: An accurate estimation of the stone burden is the key factor for predicting retrograde intra-renal surgical outcomes. Volumetric calculations better stratify stone burden than linear measurements. We developed a free software to assess the stone volume and estimate the lithotrity duration according to 3D-segmented stone volumes, namely the Kidney Stone Calculator (KSC). The present study aimed to validate the KSC’s reproducibility in clinical cases evaluating its inter-observer and intra-observer correlations. Methods: Fifty patients that harbored renal stones were retrospectively selected from a prospective cohort. For each patient, three urologists with different experience levels in stone management made five measurements of the stone volume on non-contrast-enhanced computed tomography (NCCT) images using the KSC. Results: the overall inter-observer correlation (Kendall’s concordance coefficient) was 0.99 (p < 0.0001). All three paired analyses of the inter-observer reproducibility were superior to 0.8. The intra-observer variation coefficients varied from 4% to 6%, and Kendall’s intra-observer concordance coefficient was found to be superior to 0.98 (p < 0.0001) for each participant. Subgroup analyses showed that the segmentation of complex stones seems to be less reproductible. Conclusions: The Kidney Stone Calculator is a reliable tool for the stone burden estimation. Its extension for calculating the lithotrity duration is of major interest and could help the practitioner in surgical planning. MDPI 2023-09-28 /pmc/articles/PMC10573675/ /pubmed/37834918 http://dx.doi.org/10.3390/jcm12196274 Text en © 2023 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 Peyrottes, Arthur Chicaud, Marie Fourniol, Cyril Doizi, Steeve Timsit, Marc-Olivier Méjean, Arnaud Yonneau, Laurent Lebret, Thierry Audenet, François Traxer, Olivier Panthier, Frederic Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study |
title | Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study |
title_full | Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study |
title_fullStr | Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study |
title_full_unstemmed | Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study |
title_short | Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study |
title_sort | clinical reproducibility of the stone volume measurement: a “kidney stone calculator” study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10573675/ https://www.ncbi.nlm.nih.gov/pubmed/37834918 http://dx.doi.org/10.3390/jcm12196274 |
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