Literature DB >> 24680360

Renal tumor contact surface area: a novel parameter for predicting complexity and outcomes of partial nephrectomy.

Scott Leslie1, Inderbir S Gill1, Andre Luis de Castro Abreu1, Syed Rahmanuddin2, Karanvir S Gill1, Mike Nguyen1, Andre K Berger1, Alvin C Goh1, Jie Cai1, Vinay A Duddalwar2, Monish Aron1, Mihir M Desai3.   

Abstract

BACKGROUND: The contact surface area (CSA) of a tumor with adjacent renal parenchyma may determine the complexity and thus the perioperative outcomes of partial nephrectomy (PN).
OBJECTIVE: We devised a novel imaging parameter, renal tumor CSA, and correlate it with perioperative outcomes in patients undergoing PN. DESIGN, SETTING, AND PARTICIPANTS: Of 200 patients undergoing PN for a tumor (January 2010 to August 2011), 162 had renal protocol computed tomography scanning data available. CSA was calculated using image-rendering software (Synapse 3D, Fujifilm), and interobserver variability was determined between three independent observers. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: CSA was correlated to baseline demographics and perioperative outcomes as a continuous and categorical variable using multivariable logistic regression analysis. The ability of CSA to predict adverse perioperative events was compared with demographic factors and nephrometry scoring systems. RESULTS AND LIMITATIONS: The mean tumor size was 3.1cm; CSA was 18.3 cm(2). CSA ≥20 cm(2) correlated with adverse tumor characteristics (greater tumor size, volume, and complexity) and perioperative outcomes (more parenchymal volume loss, blood loss, and complications) compared with CSA <20 cm(2). On multivariable logistic regression, CSA independently predicted operative time, complications, hospital stay, and renal functional outcomes. This predictive ability of CSA was superior to the other parameters evaluated.
CONCLUSIONS: CSA is a novel imaging parameter that quantifies the CSA of renal tumor with adjacent parenchyma. Our preliminary data indicate that CSA correlates with PN outcomes. If validated externally in a larger cohort, CSA could be incorporated into future versions of nephrometry scoring systems. PATIENT
SUMMARY: In this study we outline the method of calculating the contact surface area (CSA) of renal tumors with the surrounding normal kidney using image-rendering software. We found that CSA correlates with a number of important surgical outcomes including operative time, loss of renal function, and complications.
Copyright © 2014 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Complications; Kidney; Laparoscopy; Partial nephrectomy; Renal neoplasm; Robotic surgery

Mesh:

Year:  2014        PMID: 24680360     DOI: 10.1016/j.eururo.2014.03.010

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  27 in total

1.  Evaluation of surgery-related kidney volume loss to predict the outcomes of laparoscopic partial nephrectomy with segmental renal artery clamping.

Authors:  Jie Jiang; Jian Qian; Qian Zhang; Shaobo Zhang; Pu Li; Chao Qin; Jie Li; Qiang Cao; Pengfei Shao
Journal:  Int Urol Nephrol       Date:  2019-09-24       Impact factor: 2.370

2.  Modified C index: Novel predictor of postoperative renal functional loss of laparoscopic partial nephrectomy.

Authors:  Hiroki Ito; Kazuhide Makiyama; Takashi Kawahara; Kimito Osaka; Koji Izumi; Yumiko Yokomizo; Noboru Nakaigawa; Masahiro Yao
Journal:  Can Urol Assoc J       Date:  2017-05-09       Impact factor: 1.862

3.  Kidney cancer: contact area predicts surgical outcome.

Authors:  Robert Phillips
Journal:  Nat Rev Urol       Date:  2014-04-08       Impact factor: 14.432

4.  Tumor diameter accurately predicts perioperative outcomes in T1 renal cancer treated with robot-assisted partial nephrectomy.

Authors:  Aaron M Potretzke; Theodora A Potretzke; B Alexander Knight; Joel Vetter; Alyssa M Park; Grecori Anderson; Sam B Bhayani; R Sherburne Figenshau
Journal:  World J Urol       Date:  2016-03-21       Impact factor: 4.226

5.  A simplified new-generation renal mass complexity scoring system.

Authors:  Ali Hajiran; Ahmet M Aydin; Salim K Cheriyan; Wade J Sexton
Journal:  Ann Transl Med       Date:  2019-09

6.  The zero ischemia index (ZII): a novel criterion for predicting complexity and outcomes of off-clamp partial nephrectomy.

Authors:  Yaohui Li; Lin Zhou; Tingchang Bian; Zhuoyi Xiang; Yeqing Xu; Yanjun Zhu; Xiaoyi Hu; Shuai Jiang; Jianming Guo; Hang Wang
Journal:  World J Urol       Date:  2016-11-24       Impact factor: 4.226

7.  The association between renal tumour scoring system components and complications of partial nephrectomy.

Authors:  Darren Desantis; Luke T Lavallée; Kelsey Witiuk; Ranjeeta Mallick; Fadi Kamal; Dean Fergusson; Christopher Morash; Ilias Cagiannos; Rodney H Breau
Journal:  Can Urol Assoc J       Date:  2015 Jan-Feb       Impact factor: 1.862

Review 8.  A Literature Review of Renal Surgical Anatomy and Surgical Strategies for Partial Nephrectomy.

Authors:  Tobias Klatte; Vincenzo Ficarra; Christian Gratzke; Jihad Kaouk; Alexander Kutikov; Veronica Macchi; Alexandre Mottrie; Francesco Porpiglia; James Porter; Craig G Rogers; Paul Russo; R Houston Thompson; Robert G Uzzo; Christopher G Wood; Inderbir S Gill
Journal:  Eur Urol       Date:  2015-04-22       Impact factor: 20.096

9.  Evaluating the microRNA-target gene regulatory network in renal cell carcinomas, identification for potential biomarkers and critical pathways.

Authors:  Jun Li; Jian-Hua Huang; Qing-Hua Qu; Qier Xia; Deng-Shan Wang; Lei Jin; Chang Sheng
Journal:  Int J Clin Exp Med       Date:  2015-05-15

Review 10.  Current Status of Minimally Invasive Surgery for Renal Cell Carcinoma.

Authors:  Zachary L Smith
Journal:  Curr Urol Rep       Date:  2016-06       Impact factor: 3.092

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