In:
Journal of Clinical Medicine, MDPI AG, Vol. 12, No. 19 ( 2023-09-28), p. 6274-
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.
Type of Medium:
Online Resource
ISSN:
2077-0383
Language:
English
Publisher:
MDPI AG
Publication Date:
2023
detail.hit.zdb_id:
2662592-1
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