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Predicting stone composition before treatment – can it really drive clinical decisions?

INTRODUCTION: Determination of stone composition is considered to be crucial for the choice of an optimal treatment algorithm. It is especially important for uric acid stones, which can be dissolved by oral chemolysis and for renal stones smaller than 2 cm, which can be treated with extracorporeal s...

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Autores principales: Bres–Niewada, Ewa, Dybowski, Bartosz, Radziszewski, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Polish Urological Association 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310895/
https://www.ncbi.nlm.nih.gov/pubmed/25667761
http://dx.doi.org/10.5173/ceju.2014.04.art15
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author Bres–Niewada, Ewa
Dybowski, Bartosz
Radziszewski, Piotr
author_facet Bres–Niewada, Ewa
Dybowski, Bartosz
Radziszewski, Piotr
author_sort Bres–Niewada, Ewa
collection PubMed
description INTRODUCTION: Determination of stone composition is considered to be crucial for the choice of an optimal treatment algorithm. It is especially important for uric acid stones, which can be dissolved by oral chemolysis and for renal stones smaller than 2 cm, which can be treated with extracorporeal shockwave lithotripsy (ESWL). MATERIAL AND METHODS: This short review identifies the latest papers on radiological assessment of stone composition and presents a comprehensive evaluation of current scientific findings. RESULTS: Stone chemical composition is difficult to predict using standard CT imaging, however, attenuation index measured in Hounsfield units (HU) is related to ESWL outcome. Stone density >1000 HU can be considered predictive for ESWL failure. It seems that stone composition is meaningless in determining the outcome of ureterolithotripsy and percutaneous surgery. Alternative imaging techniques such as Dual–Energy CT or analysis of shape, density and homogeneity of stones on plain X–rays are used as promising methods of predicting stone composition and ESWL outcome. CONCLUSIONS: New imaging techniques facilitate the identification of uric acid stones and ESWL–resistant stones. Therefore, they may help in selecting the best therapeutic option.
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spelling pubmed-43108952015-02-09 Predicting stone composition before treatment – can it really drive clinical decisions? Bres–Niewada, Ewa Dybowski, Bartosz Radziszewski, Piotr Cent European J Urol Review Paper INTRODUCTION: Determination of stone composition is considered to be crucial for the choice of an optimal treatment algorithm. It is especially important for uric acid stones, which can be dissolved by oral chemolysis and for renal stones smaller than 2 cm, which can be treated with extracorporeal shockwave lithotripsy (ESWL). MATERIAL AND METHODS: This short review identifies the latest papers on radiological assessment of stone composition and presents a comprehensive evaluation of current scientific findings. RESULTS: Stone chemical composition is difficult to predict using standard CT imaging, however, attenuation index measured in Hounsfield units (HU) is related to ESWL outcome. Stone density >1000 HU can be considered predictive for ESWL failure. It seems that stone composition is meaningless in determining the outcome of ureterolithotripsy and percutaneous surgery. Alternative imaging techniques such as Dual–Energy CT or analysis of shape, density and homogeneity of stones on plain X–rays are used as promising methods of predicting stone composition and ESWL outcome. CONCLUSIONS: New imaging techniques facilitate the identification of uric acid stones and ESWL–resistant stones. Therefore, they may help in selecting the best therapeutic option. Polish Urological Association 2014-12-05 2014 /pmc/articles/PMC4310895/ /pubmed/25667761 http://dx.doi.org/10.5173/ceju.2014.04.art15 Text en Copyright by Polish Urological Association http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License, permitting all non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Paper
Bres–Niewada, Ewa
Dybowski, Bartosz
Radziszewski, Piotr
Predicting stone composition before treatment – can it really drive clinical decisions?
title Predicting stone composition before treatment – can it really drive clinical decisions?
title_full Predicting stone composition before treatment – can it really drive clinical decisions?
title_fullStr Predicting stone composition before treatment – can it really drive clinical decisions?
title_full_unstemmed Predicting stone composition before treatment – can it really drive clinical decisions?
title_short Predicting stone composition before treatment – can it really drive clinical decisions?
title_sort predicting stone composition before treatment – can it really drive clinical decisions?
topic Review Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4310895/
https://www.ncbi.nlm.nih.gov/pubmed/25667761
http://dx.doi.org/10.5173/ceju.2014.04.art15
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