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Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study

BACKGROUND: Computed Tomography (CT) is considered the gold-standard for the pre-operative evaluation of urolithiasis. However, no Hounsfield (HU) variable capable of differentiating stone types has been clearly identified. The aim of this study is to assess the predictive value of HU parameters on...

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Autores principales: Gallioli, Andrea, De Lorenzis, Elisa, Boeri, Luca, Delor, Maurizio, Zanetti, Stefano Paolo, Longo, Fabrizio, Trinchieri, Alberto, Montanari, Emanuele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689164/
https://www.ncbi.nlm.nih.gov/pubmed/29145836
http://dx.doi.org/10.1186/s12894-017-0296-1
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author Gallioli, Andrea
De Lorenzis, Elisa
Boeri, Luca
Delor, Maurizio
Zanetti, Stefano Paolo
Longo, Fabrizio
Trinchieri, Alberto
Montanari, Emanuele
author_facet Gallioli, Andrea
De Lorenzis, Elisa
Boeri, Luca
Delor, Maurizio
Zanetti, Stefano Paolo
Longo, Fabrizio
Trinchieri, Alberto
Montanari, Emanuele
author_sort Gallioli, Andrea
collection PubMed
description BACKGROUND: Computed Tomography (CT) is considered the gold-standard for the pre-operative evaluation of urolithiasis. However, no Hounsfield (HU) variable capable of differentiating stone types has been clearly identified. The aim of this study is to assess the predictive value of HU parameters on CT for determining stone composition and outcomes in percutaneous nephrolithotomy (PCNL). METHODS: Seventy seven consecutive cases of PCNL between 2011 and 2016 were divided into 4 groups: 40 (52%) calcium, 26 (34%) uric acid, 5 (6%) struvite and 6 (8%) cystine stones. All images were reviewed by a single urologist using abdomen/bone windows to evaluate: stone volume, core (HUC), periphery HU and their absolute difference. HU density (HUD) was defined as the ratio between mean HU and the stone’s largest diameter. ROC curves assessed the predictive power of HU for determining stone composition/stone-free rate (SFR). RESULTS: No differences were found based on the viewing window (abdomen vs bone). Struvite stones had values halfway between hyperdense (calcium) and low-density (cystine/uric acid) calculi for all parameters except HUD, which was the lowest. All HU variables for medium-high density stones were greater than low-density stones (p < 0.001). HUC differentiated the two groups (cut-off 825 HU; specificity 90.6%, sensitivity 88.9%). HUD distinguished calcium from struvite (mean ± SD 51 ± 16 and 28 ± 12 respectively; p = 0.02) with high sensitivity (82.5%) and specificity (80%) at a cut-off of 35 HU/mm. Multivariate analysis revealed HUD ≥ 38.5 HU/mm to be an independent predictor of SFR (OR = 3.1, p = 0.03). No relationship was found between HU values and complication rate. CONCLUSIONS: HU parameters help predict stone composition to select patients for oral chemolysis. HUD is an independent predictor of residual fragments after PCNL and may be fundamental to categorize it, driving the imaging choice at follow-up. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12894-017-0296-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-56891642017-11-24 Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study Gallioli, Andrea De Lorenzis, Elisa Boeri, Luca Delor, Maurizio Zanetti, Stefano Paolo Longo, Fabrizio Trinchieri, Alberto Montanari, Emanuele BMC Urol Research Article BACKGROUND: Computed Tomography (CT) is considered the gold-standard for the pre-operative evaluation of urolithiasis. However, no Hounsfield (HU) variable capable of differentiating stone types has been clearly identified. The aim of this study is to assess the predictive value of HU parameters on CT for determining stone composition and outcomes in percutaneous nephrolithotomy (PCNL). METHODS: Seventy seven consecutive cases of PCNL between 2011 and 2016 were divided into 4 groups: 40 (52%) calcium, 26 (34%) uric acid, 5 (6%) struvite and 6 (8%) cystine stones. All images were reviewed by a single urologist using abdomen/bone windows to evaluate: stone volume, core (HUC), periphery HU and their absolute difference. HU density (HUD) was defined as the ratio between mean HU and the stone’s largest diameter. ROC curves assessed the predictive power of HU for determining stone composition/stone-free rate (SFR). RESULTS: No differences were found based on the viewing window (abdomen vs bone). Struvite stones had values halfway between hyperdense (calcium) and low-density (cystine/uric acid) calculi for all parameters except HUD, which was the lowest. All HU variables for medium-high density stones were greater than low-density stones (p < 0.001). HUC differentiated the two groups (cut-off 825 HU; specificity 90.6%, sensitivity 88.9%). HUD distinguished calcium from struvite (mean ± SD 51 ± 16 and 28 ± 12 respectively; p = 0.02) with high sensitivity (82.5%) and specificity (80%) at a cut-off of 35 HU/mm. Multivariate analysis revealed HUD ≥ 38.5 HU/mm to be an independent predictor of SFR (OR = 3.1, p = 0.03). No relationship was found between HU values and complication rate. CONCLUSIONS: HU parameters help predict stone composition to select patients for oral chemolysis. HUD is an independent predictor of residual fragments after PCNL and may be fundamental to categorize it, driving the imaging choice at follow-up. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12894-017-0296-1) contains supplementary material, which is available to authorized users. BioMed Central 2017-11-16 /pmc/articles/PMC5689164/ /pubmed/29145836 http://dx.doi.org/10.1186/s12894-017-0296-1 Text en © The Author(s). 2017 Open AccessThis 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Gallioli, Andrea
De Lorenzis, Elisa
Boeri, Luca
Delor, Maurizio
Zanetti, Stefano Paolo
Longo, Fabrizio
Trinchieri, Alberto
Montanari, Emanuele
Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study
title Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study
title_full Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study
title_fullStr Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study
title_full_unstemmed Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study
title_short Clinical utility of computed tomography Hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study
title_sort clinical utility of computed tomography hounsfield characterization for percutaneous nephrolithotomy: a cross-sectional study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5689164/
https://www.ncbi.nlm.nih.gov/pubmed/29145836
http://dx.doi.org/10.1186/s12894-017-0296-1
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