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Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases
Kidney stones are a major public health concern with continuously increasing worldwide prevalence. Shock wave lithotripsy (SWL) is the first line treatment choice for upper urinary tract calculi with ureteroscopy and has advantages of safety and noninvasiveness, but the treatment success rate of SWL...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304629/ https://www.ncbi.nlm.nih.gov/pubmed/30627582 http://dx.doi.org/10.1155/2018/9253952 |
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author | Yamashita, Shimpei Kohjimoto, Yasuo Iwahashi, Yuya Iguchi, Takashi Nishizawa, Satoshi Kikkawa, Kazuro Hara, Isao |
author_facet | Yamashita, Shimpei Kohjimoto, Yasuo Iwahashi, Yuya Iguchi, Takashi Nishizawa, Satoshi Kikkawa, Kazuro Hara, Isao |
author_sort | Yamashita, Shimpei |
collection | PubMed |
description | Kidney stones are a major public health concern with continuously increasing worldwide prevalence. Shock wave lithotripsy (SWL) is the first line treatment choice for upper urinary tract calculi with ureteroscopy and has advantages of safety and noninvasiveness, but the treatment success rate of SWL is lower than that of other therapies. It is therefore important to identify predictive factors for SWL outcome and select a suitable treatment choice for patients with upper urinary tract calculi. In recent years, computed tomography (CT) has become the gold standard for diagnosis of upper urinary tract calculi. Several factors based on CT images, including skin-to-stone distance, mean stone density, stone heterogeneity index, and variation coefficient of stone density, have been reported to be useful for predicting SWL outcome. In addition, a new method of analysis, CT texture analysis, is reportedly useful for predicting SWL outcomes. This review aims to summarize CT parameters for predicting the outcome of shock wave lithotripsy in stone cases in the upper urinary tract. |
format | Online Article Text |
id | pubmed-6304629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-63046292019-01-09 Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases Yamashita, Shimpei Kohjimoto, Yasuo Iwahashi, Yuya Iguchi, Takashi Nishizawa, Satoshi Kikkawa, Kazuro Hara, Isao Biomed Res Int Review Article Kidney stones are a major public health concern with continuously increasing worldwide prevalence. Shock wave lithotripsy (SWL) is the first line treatment choice for upper urinary tract calculi with ureteroscopy and has advantages of safety and noninvasiveness, but the treatment success rate of SWL is lower than that of other therapies. It is therefore important to identify predictive factors for SWL outcome and select a suitable treatment choice for patients with upper urinary tract calculi. In recent years, computed tomography (CT) has become the gold standard for diagnosis of upper urinary tract calculi. Several factors based on CT images, including skin-to-stone distance, mean stone density, stone heterogeneity index, and variation coefficient of stone density, have been reported to be useful for predicting SWL outcome. In addition, a new method of analysis, CT texture analysis, is reportedly useful for predicting SWL outcomes. This review aims to summarize CT parameters for predicting the outcome of shock wave lithotripsy in stone cases in the upper urinary tract. Hindawi 2018-12-02 /pmc/articles/PMC6304629/ /pubmed/30627582 http://dx.doi.org/10.1155/2018/9253952 Text en Copyright © 2018 Shimpei Yamashita et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Yamashita, Shimpei Kohjimoto, Yasuo Iwahashi, Yuya Iguchi, Takashi Nishizawa, Satoshi Kikkawa, Kazuro Hara, Isao Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases |
title | Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases |
title_full | Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases |
title_fullStr | Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases |
title_full_unstemmed | Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases |
title_short | Noncontrast Computed Tomography Parameters for Predicting Shock Wave Lithotripsy Outcome in Upper Urinary Tract Stone Cases |
title_sort | noncontrast computed tomography parameters for predicting shock wave lithotripsy outcome in upper urinary tract stone cases |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6304629/ https://www.ncbi.nlm.nih.gov/pubmed/30627582 http://dx.doi.org/10.1155/2018/9253952 |
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