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The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy

PURPOSE: The percentage of parenchyma preserved plays a predominant role in predicting renal function after partial nephrectomy (PN). Currently there is no standard method to estimate preserved renal parenchyma. In this study we propose a formula of the percentage of resected and ischemic volume (PR...

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Autores principales: Huang, Wei-Hsuan, Chang, Chao-Hsiang, Huang, Chi-Ping, Wu, Hsi-Chin, Hsieh, Po-Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Urologia 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293387/
https://www.ncbi.nlm.nih.gov/pubmed/28124529
http://dx.doi.org/10.1590/S1677-5538.IBJU.2015.0423
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author Huang, Wei-Hsuan
Chang, Chao-Hsiang
Huang, Chi-Ping
Wu, Hsi-Chin
Hsieh, Po-Fan
author_facet Huang, Wei-Hsuan
Chang, Chao-Hsiang
Huang, Chi-Ping
Wu, Hsi-Chin
Hsieh, Po-Fan
author_sort Huang, Wei-Hsuan
collection PubMed
description PURPOSE: The percentage of parenchyma preserved plays a predominant role in predicting renal function after partial nephrectomy (PN). Currently there is no standard method to estimate preserved renal parenchyma. In this study we propose a formula of the percentage of resected and ischemic volume (PRAIV) determined by a geometric model and evaluate the relationships between renal functional change and PRAIV as well as other clinical parameters. MATERIALS AND METHODS: We identified 71 patients who underwent open PN between January 2004 and April 2014. Assuming the kidney to be an ellipsoid with bilaterally equal volume and tumor to be a sphere, we calculated PRAIV by integral calculus. Nadir estimated glomerular filtration rate (eGFR) between postoperative 3 and 12 months were recorded. The correlation between percent eGFR reduction, PRAIV, and other clinical parameters were examined. RESULTS: On univariate analysis, age (p=0.03), depth of tumor invasion (p=0.004), C index (p=0.003), RAIV (p=0.04), and PRAIV (p<0.001) were correlated with percent reduction of eGFR. However, only age (p=0.007) and PRAIV (p<0.001) were significantly correlated with percent reduction of eGFR on multivariate analysis. Depicting these values along the regression line, we found R(2) was 0.194 and 0.073 for PRAIV and age, respectively. CONCLUSIONS: PRAIV determined by a geometric model is a significant predictor of renal functional change after PN. Using PRAIV, we can estimate percent eGFR reduction preoperatively for better patient consultation and surgical planning.
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spelling pubmed-52933872017-02-08 The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy Huang, Wei-Hsuan Chang, Chao-Hsiang Huang, Chi-Ping Wu, Hsi-Chin Hsieh, Po-Fan Int Braz J Urol Original Article PURPOSE: The percentage of parenchyma preserved plays a predominant role in predicting renal function after partial nephrectomy (PN). Currently there is no standard method to estimate preserved renal parenchyma. In this study we propose a formula of the percentage of resected and ischemic volume (PRAIV) determined by a geometric model and evaluate the relationships between renal functional change and PRAIV as well as other clinical parameters. MATERIALS AND METHODS: We identified 71 patients who underwent open PN between January 2004 and April 2014. Assuming the kidney to be an ellipsoid with bilaterally equal volume and tumor to be a sphere, we calculated PRAIV by integral calculus. Nadir estimated glomerular filtration rate (eGFR) between postoperative 3 and 12 months were recorded. The correlation between percent eGFR reduction, PRAIV, and other clinical parameters were examined. RESULTS: On univariate analysis, age (p=0.03), depth of tumor invasion (p=0.004), C index (p=0.003), RAIV (p=0.04), and PRAIV (p<0.001) were correlated with percent reduction of eGFR. However, only age (p=0.007) and PRAIV (p<0.001) were significantly correlated with percent reduction of eGFR on multivariate analysis. Depicting these values along the regression line, we found R(2) was 0.194 and 0.073 for PRAIV and age, respectively. CONCLUSIONS: PRAIV determined by a geometric model is a significant predictor of renal functional change after PN. Using PRAIV, we can estimate percent eGFR reduction preoperatively for better patient consultation and surgical planning. Sociedade Brasileira de Urologia 2017 /pmc/articles/PMC5293387/ /pubmed/28124529 http://dx.doi.org/10.1590/S1677-5538.IBJU.2015.0423 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Huang, Wei-Hsuan
Chang, Chao-Hsiang
Huang, Chi-Ping
Wu, Hsi-Chin
Hsieh, Po-Fan
The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy
title The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy
title_full The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy
title_fullStr The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy
title_full_unstemmed The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy
title_short The percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy
title_sort percentage of resected and ischemic volume determined by a geometric model is a significant predictor of renal functional change after partial nephrectomy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5293387/
https://www.ncbi.nlm.nih.gov/pubmed/28124529
http://dx.doi.org/10.1590/S1677-5538.IBJU.2015.0423
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