Nephrometry scores and perioperative outcomes following robotic partial nephrectomy

ABSTRACT Objectives: Based on imaging features, nephrometry scoring systems have been conceived to create a standardized and reproducible way to characterize renal tumor anatomy. However, less is known about which of these individual measures are important with regard to clinically relevant periope...

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Main Authors: Renato B. Corradi, Emily A. Vertosick, Daniel P. Nguyen, Antoni Vilaseca, Daniel D. Sjoberg, Nicole Benfante, Lucas N. Nogueira, Massimiliano Spaliviero, Karim A. Touijer, Paul Russo, Jonathan A. Coleman
Format: Article
Language:English
Published: Sociedade Brasileira de Urologia
Series:International Brazilian Journal of Urology
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382017000601075&lng=en&tlng=en
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author Renato B. Corradi
Emily A. Vertosick
Daniel P. Nguyen
Antoni Vilaseca
Daniel D. Sjoberg
Nicole Benfante
Lucas N. Nogueira
Massimiliano Spaliviero
Karim A. Touijer
Paul Russo
Jonathan A. Coleman
author_facet Renato B. Corradi
Emily A. Vertosick
Daniel P. Nguyen
Antoni Vilaseca
Daniel D. Sjoberg
Nicole Benfante
Lucas N. Nogueira
Massimiliano Spaliviero
Karim A. Touijer
Paul Russo
Jonathan A. Coleman
author_sort Renato B. Corradi
collection DOAJ
description ABSTRACT Objectives: Based on imaging features, nephrometry scoring systems have been conceived to create a standardized and reproducible way to characterize renal tumor anatomy. However, less is known about which of these individual measures are important with regard to clinically relevant perioperative outcomes such as ischemia time (IT), estimated blood loss (EBL), length of hospital stay (LOS), and change in estimated glomerular filtration rate (eGFR) after robotic partial nephrectomy (PN). We aimed to assess the utility of the RENAL and PADUA scores, their subscales, and C-index for predicting these outcomes. Materials and Methods: We analyzed imaging studies from 283 patients who underwent robotic PN between 2008 and 2014 to assign nephrometry scores (NS): PADUA, RENAL and C-index. Univariate linear regression was used to assess whether the NS or any of their subscales were associated with EBL or IT. Multivariable linear regression and linear regression models were created to assess LOS and eGFR. Results: The three NS were significantly associated with EBL, IT, LOS, and eGFR at 12 months after surgery. All subscales with the exception of anterior/posterior were significantly associated with EBL and IT. Collecting system, renal rim location, renal sinus, exophytic/endophytic, and nearness to collecting system were significant predictors for LOS. Only renal rim location, renal sinus invasion and polar location were significantly associated with eGFR at 12 months. Conclusions: Tumor size and depth are important characteristics for predicting robotic PN outcomes and thus could be used individually as a simplified way to report tumors features for research and patient counseling purposes.
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spelling doaj.art-edc80e30aeb74f5a990c74898bc750802022-12-22T01:24:12ZengSociedade Brasileira de UrologiaInternational Brazilian Journal of Urology1677-61194361075108310.1590/s1677-5538.ibju.2016.0571S1677-55382017000601075Nephrometry scores and perioperative outcomes following robotic partial nephrectomyRenato B. CorradiEmily A. VertosickDaniel P. NguyenAntoni VilasecaDaniel D. SjobergNicole BenfanteLucas N. NogueiraMassimiliano SpalivieroKarim A. TouijerPaul RussoJonathan A. ColemanABSTRACT Objectives: Based on imaging features, nephrometry scoring systems have been conceived to create a standardized and reproducible way to characterize renal tumor anatomy. However, less is known about which of these individual measures are important with regard to clinically relevant perioperative outcomes such as ischemia time (IT), estimated blood loss (EBL), length of hospital stay (LOS), and change in estimated glomerular filtration rate (eGFR) after robotic partial nephrectomy (PN). We aimed to assess the utility of the RENAL and PADUA scores, their subscales, and C-index for predicting these outcomes. Materials and Methods: We analyzed imaging studies from 283 patients who underwent robotic PN between 2008 and 2014 to assign nephrometry scores (NS): PADUA, RENAL and C-index. Univariate linear regression was used to assess whether the NS or any of their subscales were associated with EBL or IT. Multivariable linear regression and linear regression models were created to assess LOS and eGFR. Results: The three NS were significantly associated with EBL, IT, LOS, and eGFR at 12 months after surgery. All subscales with the exception of anterior/posterior were significantly associated with EBL and IT. Collecting system, renal rim location, renal sinus, exophytic/endophytic, and nearness to collecting system were significant predictors for LOS. Only renal rim location, renal sinus invasion and polar location were significantly associated with eGFR at 12 months. Conclusions: Tumor size and depth are important characteristics for predicting robotic PN outcomes and thus could be used individually as a simplified way to report tumors features for research and patient counseling purposes.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382017000601075&lng=en&tlng=enKidney NeoplasmsNephrectomyRobotics
spellingShingle Renato B. Corradi
Emily A. Vertosick
Daniel P. Nguyen
Antoni Vilaseca
Daniel D. Sjoberg
Nicole Benfante
Lucas N. Nogueira
Massimiliano Spaliviero
Karim A. Touijer
Paul Russo
Jonathan A. Coleman
Nephrometry scores and perioperative outcomes following robotic partial nephrectomy
International Brazilian Journal of Urology
Kidney Neoplasms
Nephrectomy
Robotics
title Nephrometry scores and perioperative outcomes following robotic partial nephrectomy
title_full Nephrometry scores and perioperative outcomes following robotic partial nephrectomy
title_fullStr Nephrometry scores and perioperative outcomes following robotic partial nephrectomy
title_full_unstemmed Nephrometry scores and perioperative outcomes following robotic partial nephrectomy
title_short Nephrometry scores and perioperative outcomes following robotic partial nephrectomy
title_sort nephrometry scores and perioperative outcomes following robotic partial nephrectomy
topic Kidney Neoplasms
Nephrectomy
Robotics
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1677-55382017000601075&lng=en&tlng=en
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