Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study

Author:

Peyrottes Arthur12ORCID,Chicaud Marie1345ORCID,Fourniol Cyril2,Doizi Steeve134,Timsit Marc-Olivier2,Méjean Arnaud2,Yonneau Laurent6,Lebret Thierry6,Audenet François2,Traxer Olivier134,Panthier Frederic1234ORCID

Affiliation:

1. GRC n°20, Groupe de Recherche Clinique Sur La Lithiase Urinaire, Hôpital Tenon, Sorbonne Université, 75020 Paris, France

2. Service D’Urologie, Hôpital Européen Georges Pompidou, AP-HP.Centre, Université Paris-Cité, 20 rue Leblanc, 75015 Paris, France

3. Service D’Urologie, Hôpital Tenon, AP-HP, Sorbonne Université, 4 rue de la Chine, 75020 Paris, France

4. PIMM Laboratory, UMR 8006 CNRS-Arts Et Métiers ParisTech, 151 bd de l’Hôpital, 75013 Paris, France

5. Service d’Urologie, CHU de Limoges, 2 Avenue Martin Luther King, 87000 Limoges, France

6. Service d’Urologie, Hôpital Foch-Université Paris Saclay-UVSQ, 40 rue Worth, 92150 Suresnes, France

Abstract

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.

Publisher

MDPI AG

Subject

General Medicine

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