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Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage

OBJECTIVES: To determine how to most accurately predict the chance of spontaneous passage of a ureteral stone using information in the diagnostic non-enhanced computed tomography (NECT) and to create predictive models with smaller stone size intervals than previously possible. METHODS: Retrospective...

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Autores principales: Jendeberg, Johan, Geijer, Håkan, Alshamari, Muhammed, Cierzniak, Bartosz, Lidén, Mats
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635101/
https://www.ncbi.nlm.nih.gov/pubmed/28593428
http://dx.doi.org/10.1007/s00330-017-4852-6
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author Jendeberg, Johan
Geijer, Håkan
Alshamari, Muhammed
Cierzniak, Bartosz
Lidén, Mats
author_facet Jendeberg, Johan
Geijer, Håkan
Alshamari, Muhammed
Cierzniak, Bartosz
Lidén, Mats
author_sort Jendeberg, Johan
collection PubMed
description OBJECTIVES: To determine how to most accurately predict the chance of spontaneous passage of a ureteral stone using information in the diagnostic non-enhanced computed tomography (NECT) and to create predictive models with smaller stone size intervals than previously possible. METHODS: Retrospectively 392 consecutive patients with ureteric stone on NECT were included. Three radiologists independently measured the stone size. Stone location, side, hydronephrosis, CRP, medical expulsion therapy (MET) and all follow-up radiology until stone expulsion or 26 weeks were recorded. Logistic regressions were performed with spontaneous stone passage in 4 weeks and 20 weeks as the dependent variable. RESULTS: The spontaneous passage rate in 20 weeks was 312 out of 392 stones, 98% in 0–2 mm, 98% in 3 mm, 81% in 4 mm, 65% in 5 mm, 33% in 6 mm and 9% in ≥6.5 mm wide stones. The stone size and location predicted spontaneous ureteric stone passage. The side and the grade of hydronephrosis only predicted stone passage in specific subgroups. CONCLUSION: Spontaneous passage of a ureteral stone can be predicted with high accuracy with the information available in the NECT. We present a prediction method based on stone size and location. KEY POINTS: • Non-enhanced computed tomography can predict the outcome of ureteral stones. • Stone size and location are the most important predictors of spontaneous passage. • Prediction models based on stone width or length and stone location are introduced. • The observed passage rates for stone size in mm-intervals are reported. • Clinicians can make better decisions about treatment.
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spelling pubmed-56351012017-10-23 Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage Jendeberg, Johan Geijer, Håkan Alshamari, Muhammed Cierzniak, Bartosz Lidén, Mats Eur Radiol Urogenital OBJECTIVES: To determine how to most accurately predict the chance of spontaneous passage of a ureteral stone using information in the diagnostic non-enhanced computed tomography (NECT) and to create predictive models with smaller stone size intervals than previously possible. METHODS: Retrospectively 392 consecutive patients with ureteric stone on NECT were included. Three radiologists independently measured the stone size. Stone location, side, hydronephrosis, CRP, medical expulsion therapy (MET) and all follow-up radiology until stone expulsion or 26 weeks were recorded. Logistic regressions were performed with spontaneous stone passage in 4 weeks and 20 weeks as the dependent variable. RESULTS: The spontaneous passage rate in 20 weeks was 312 out of 392 stones, 98% in 0–2 mm, 98% in 3 mm, 81% in 4 mm, 65% in 5 mm, 33% in 6 mm and 9% in ≥6.5 mm wide stones. The stone size and location predicted spontaneous ureteric stone passage. The side and the grade of hydronephrosis only predicted stone passage in specific subgroups. CONCLUSION: Spontaneous passage of a ureteral stone can be predicted with high accuracy with the information available in the NECT. We present a prediction method based on stone size and location. KEY POINTS: • Non-enhanced computed tomography can predict the outcome of ureteral stones. • Stone size and location are the most important predictors of spontaneous passage. • Prediction models based on stone width or length and stone location are introduced. • The observed passage rates for stone size in mm-intervals are reported. • Clinicians can make better decisions about treatment. Springer Berlin Heidelberg 2017-06-07 2017 /pmc/articles/PMC5635101/ /pubmed/28593428 http://dx.doi.org/10.1007/s00330-017-4852-6 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Urogenital
Jendeberg, Johan
Geijer, Håkan
Alshamari, Muhammed
Cierzniak, Bartosz
Lidén, Mats
Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage
title Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage
title_full Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage
title_fullStr Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage
title_full_unstemmed Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage
title_short Size matters: The width and location of a ureteral stone accurately predict the chance of spontaneous passage
title_sort size matters: the width and location of a ureteral stone accurately predict the chance of spontaneous passage
topic Urogenital
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635101/
https://www.ncbi.nlm.nih.gov/pubmed/28593428
http://dx.doi.org/10.1007/s00330-017-4852-6
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