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Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy

There are several nephrometry scoring systems for predicting surgical complexity and potential perioperative morbidity. The R.E.N.A.L. scoring system, one of the most well-known nephrometry scoring systems, emphasizes the features on which it is based (Radius, Exophytic/endophytic, Nearness to colle...

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Autores principales: Ohsugi, Haruyuki, Akiyama, Kyojiro, Taniguchi, Hisanori, Yanishi, Masaaki, Sugi, Motohiko, Matsuda, Tadashi, Kinoshita, Hidefumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602316/
https://www.ncbi.nlm.nih.gov/pubmed/34795330
http://dx.doi.org/10.1038/s41598-021-01539-1
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author Ohsugi, Haruyuki
Akiyama, Kyojiro
Taniguchi, Hisanori
Yanishi, Masaaki
Sugi, Motohiko
Matsuda, Tadashi
Kinoshita, Hidefumi
author_facet Ohsugi, Haruyuki
Akiyama, Kyojiro
Taniguchi, Hisanori
Yanishi, Masaaki
Sugi, Motohiko
Matsuda, Tadashi
Kinoshita, Hidefumi
author_sort Ohsugi, Haruyuki
collection PubMed
description There are several nephrometry scoring systems for predicting surgical complexity and potential perioperative morbidity. The R.E.N.A.L. scoring system, one of the most well-known nephrometry scoring systems, emphasizes the features on which it is based (Radius, Exophytic/endophytic, Nearness to collecting system or sinus, Anterior/posterior, and Location relative to polar lines). The ability of these nephrometry scoring systems to predict loss of renal function after robotic partial nephrectomy (RPN) remains controversial. Therefore, we verified which combination of factors from nephrometry scoring systems, including tumor volume, was the most significant predictor of postoperative renal function. Patients who underwent RPN for cT1 renal tumors in our hospital were reviewed retrospectively (n = 163). The preoperative clinical data (estimated glomerular filtration rate [eGFR], comorbidities, and nephrometry scoring systems including R.E.N.A.L.) and perioperative outcomes were evaluated. We also calculated the tumor volume using the equation applied to an ellipsoid by three-dimensional computed tomography. The primary outcome was reduced eGFR, which was defined as an eGFR reduction of ≥ 20% from baseline to 6 months after RPN. Multivariable logistic regression analyses were used to evaluate the relationships between preoperative variables and reduced eGFR. Of 163 patients, 24 (14.7%) had reduced eGFR. Multivariable analyses indicated that tumor volume (cutoff value ≥ 14.11 cm(3), indicating a sphere with a diameter ≥ approximately 3 cm) and tumor crossing of the axial renal midline were independent factors associated with a reduced eGFR (odds ratio [OR] 4.57; 95% confidence interval [CI] 1.69–12.30; P = 0.003 and OR 3.50; 95% CI 1.30–9.46; P = 0.034, respectively). Our classification system using these two factors showed a higher area under the receiver operating characteristic curve (AUC) than previous nephrometry scoring systems (AUC = 0.786 vs. 0.653–0.719), and it may provide preoperative information for counseling patients about renal function after RPN.
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spelling pubmed-86023162021-11-19 Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy Ohsugi, Haruyuki Akiyama, Kyojiro Taniguchi, Hisanori Yanishi, Masaaki Sugi, Motohiko Matsuda, Tadashi Kinoshita, Hidefumi Sci Rep Article There are several nephrometry scoring systems for predicting surgical complexity and potential perioperative morbidity. The R.E.N.A.L. scoring system, one of the most well-known nephrometry scoring systems, emphasizes the features on which it is based (Radius, Exophytic/endophytic, Nearness to collecting system or sinus, Anterior/posterior, and Location relative to polar lines). The ability of these nephrometry scoring systems to predict loss of renal function after robotic partial nephrectomy (RPN) remains controversial. Therefore, we verified which combination of factors from nephrometry scoring systems, including tumor volume, was the most significant predictor of postoperative renal function. Patients who underwent RPN for cT1 renal tumors in our hospital were reviewed retrospectively (n = 163). The preoperative clinical data (estimated glomerular filtration rate [eGFR], comorbidities, and nephrometry scoring systems including R.E.N.A.L.) and perioperative outcomes were evaluated. We also calculated the tumor volume using the equation applied to an ellipsoid by three-dimensional computed tomography. The primary outcome was reduced eGFR, which was defined as an eGFR reduction of ≥ 20% from baseline to 6 months after RPN. Multivariable logistic regression analyses were used to evaluate the relationships between preoperative variables and reduced eGFR. Of 163 patients, 24 (14.7%) had reduced eGFR. Multivariable analyses indicated that tumor volume (cutoff value ≥ 14.11 cm(3), indicating a sphere with a diameter ≥ approximately 3 cm) and tumor crossing of the axial renal midline were independent factors associated with a reduced eGFR (odds ratio [OR] 4.57; 95% confidence interval [CI] 1.69–12.30; P = 0.003 and OR 3.50; 95% CI 1.30–9.46; P = 0.034, respectively). Our classification system using these two factors showed a higher area under the receiver operating characteristic curve (AUC) than previous nephrometry scoring systems (AUC = 0.786 vs. 0.653–0.719), and it may provide preoperative information for counseling patients about renal function after RPN. Nature Publishing Group UK 2021-11-18 /pmc/articles/PMC8602316/ /pubmed/34795330 http://dx.doi.org/10.1038/s41598-021-01539-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ohsugi, Haruyuki
Akiyama, Kyojiro
Taniguchi, Hisanori
Yanishi, Masaaki
Sugi, Motohiko
Matsuda, Tadashi
Kinoshita, Hidefumi
Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy
title Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy
title_full Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy
title_fullStr Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy
title_full_unstemmed Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy
title_short Tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy
title_sort tumor volume and tumor crossing of the axial renal midline predict renal function after robotic partial nephrectomy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8602316/
https://www.ncbi.nlm.nih.gov/pubmed/34795330
http://dx.doi.org/10.1038/s41598-021-01539-1
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