Retroperitoneal laparoscopic radical nephrectomy in the treatment of renal cancer: a 5-year single-center experience in resource-scare setting
HTML: 134
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Based on a retrospective hospital-based analysis, this study examines the results of retroperitoneal laparoscopic radical nephrectomy for patients with T1-T2 renal cell carcinoma (RCC) from January 2019 to December 2023. Of the 73 patients, 4.1% had TNM stage II tumors and 95.8% had TNM stage I tumors (53.4% T1a and 42.4% T1b). In terms of frequency, clear cell RCC accounted for 84.9%, with papillary RCC coming in at 9.6% and chromophobe RCC at 4.1%. Following surgery, four patients experienced fevers, one needed a blood transfusion, two had infections, and one had emergency surgery. Lumbar masses and hematuria were absent in all patients. Subsequent metastatic lesions and abnormalities of the renal fossa were not observed on follow-up ultrasounds. 4.1% of the deaths after 25.9 months were due to the disease, and 1.4% were caused by accidents. At one, two, three, and four years, the cumulative survival rates were 100%, 97.2%, and 92.8%, respectively. 48.1 months was the mean postoperative survival period. For RCC stages T1-2, retroperitoneal laparoscopic radical nephrectomy offers significant benefits and comparable results to open surgery.
Downloads
PlumX Metrics
PlumX Metrics provide insights into the ways people interact with individual pieces of research output (articles, conference proceedings, book chapters, and many more) in the online environment. Examples include, when research is mentioned in the news or is tweeted about. Collectively known as PlumX Metrics, these metrics are divided into five categories to help make sense of the huge amounts of data involved and to enable analysis by comparing like with like.
How to Cite
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.