Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782354923523932160 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4310895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Polish Urological Association |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT bresniewadaewa predictingstonecompositionbeforetreatmentcanitreallydriveclinicaldecisions AT dybowskibartosz predictingstonecompositionbeforetreatmentcanitreallydriveclinicaldecisions AT radziszewskipiotr predictingstonecompositionbeforetreatmentcanitreallydriveclinicaldecisions |