Clinical Management of Urinary Tract Stones and Tumors

A special issue of Journal of Clinical Medicine (ISSN 2077-0383). This special issue belongs to the section "Nephrology & Urology".

Deadline for manuscript submissions: closed (20 April 2024) | Viewed by 910

Special Issue Editor


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Guest Editor
Department of Urology AP-HP, Tenon Hospital, Sorbonne University, F-75020 Paris, France
Interests: endourology; minimally invasive surgery; surgical and medical management of Stone disease; conservative treatment of UTUC; lower and upper urinary tract diseases
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Special Issue Information

Dear Colleagues,

The field of urology is undergoing rapid advancements with the emergence of novel technologies for the management of lithiasis and the evolution of precision medicine for the treatment of different types of tumors. As a result, urologists are confronting an abundance of scientific evidence and novel challenges in managing these pathologies. To address these challenges, we propose a Special Issue that focuses on the clinical management of urinary stones and tumors. The aim of this Special Issue is to provide readers with the latest updates on these topics.

The subjects of interest for this Special Issue encompass lifestyle measures, medical therapy, and follow-up for managing cystine stone recurrences, the role of biomarkers in the diagnosis and monitoring of urothelial carcinoma, and optimal medical management strategies for recurrent urinary stone formers. The Special Issue is expected to provide valuable insights into the diagnosis and treatment in these two specific urinary disorders, which will be of significant interest to urologists, nephrologists, and other healthcare professionals involved in the care of patients with urinary tract disorders. The latest developments and advancements in this Special Issue will help to enhance the quality of care, treatment, and long-term outcomes of patients with urinary system disorders.

Prof. Dr. Olivier Traxer
Guest Editor

Manuscript Submission Information

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Keywords

  • medical therapy
  • urolithiasis
  • urothelial tumors
  • transplanted kidney
  • biomarkers
  • robotics

Published Papers (1 paper)

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Research

10 pages, 558 KiB  
Article
Clinical Reproducibility of the Stone Volume Measurement: A “Kidney Stone Calculator” Study
by Arthur Peyrottes, Marie Chicaud, Cyril Fourniol, Steeve Doizi, Marc-Olivier Timsit, Arnaud Méjean, Laurent Yonneau, Thierry Lebret, François Audenet, Olivier Traxer and Frederic Panthier
J. Clin. Med. 2023, 12(19), 6274; https://0-doi-org.brum.beds.ac.uk/10.3390/jcm12196274 - 28 Sep 2023
Cited by 1 | Viewed by 730
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 [...] Read more.
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. Full article
(This article belongs to the Special Issue Clinical Management of Urinary Tract Stones and Tumors)
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