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Robotic partial nephrectomy for renal cancer

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Danilo Coco 1, * and Silvana Leanza 2

1 Department of General surgery, Ospedali Riuniti Marche Nord, Pesaro (PU), Italy.
2 Department of General Surgery, Carlo Urbani Hospital, Jesi (AN), Italy.

Review Article
 

World Journal of Advanced Research and Reviews, 2020, 08(03), 071-074
Article DOI: 10.30574/wjarr.2020.8.3.0421
DOI url: https://doi.org/10.30574/wjarr.2020.8.3.0421

Received on 11 November 2020; revised on 18 November 2020; accepted on 20 November 2020

Introduction: Improved methods are being sought so that the existing low efficiencies can be dealt with for a better solution to the problem of renal cancer. The most promising method is robotic partial nephrectomy which uses a system of automated machines in the treatment of small renal masses as it shows reduced mortality, morbidity, and hospital stay.
Aim: To systematically analyze articles to learn about robotic partial nephrectomy and how it has solved some of the current issues in the treatment of renal cancer.
Materials and methods: The article systematically reviews 20 articles in the development of a literature review on the emerging technology of robotic partial nephrectomy. The articles are recent and have been published in the last five years.
Results and outcome: The studies show the use of robotic partial nephrectomy produces better outcomes in terms of reduced mortality, morbidity, and the number of days a patient stayed in hospital after an operation.
Conclusion: The use of robotic partial nephrectomy is the ideal treatment for patients that have renal cancer as it has better outcomes in almost all the researched areas. 

Robotic Partial Nephrectomy; Open Partial Nephrectomy; Laparoscopic Partial Nephrectomy; Mortality; Conversion Rate; Morbidity; Oncological Results; Hospital Stay

https://wjarr.co.in/sites/default/files/fulltext_pdf/WJARR-2020-0421.pdf

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Danilo Coco and Silvana Leanza. Robotic partial nephrectomy for renal cancer. World Journal of Advanced Research and Reviews, 2020, 08(03), 071-074. Article DOI: https://doi.org/10.30574/wjarr.2020.8.3.0421

Copyright © 2020 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0

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