Literature DB >> 28009147

Ten-year experience of robot-assisted radical prostatectomy: the road from cherry-picking to standard procedure.

Jonas Schiffmann1,2, Alexander Haese3, Katharina Boehm4, Georg Salomon3, Thomas Steuber3, Hans Heinzer3, Hartwig Huland3, Markus Graefen3, Pierre I Karakiewicz5,6.   

Abstract

BACKGROUND: Patients treated with robot-assisted radical prostatectomy (RARP) are frequently selected according to more favorable characteristics. Such patient selection might decrease according to increasing experience.
METHODS: We relied on the Martini Clinic Prostate Cancer Center database and focused on patients treated with RARP between 2004 and 2013. Differences in clinical, pathological and surgical characteristics at RARP over time (2004-2010, 2011-2012 and 2013) were assessed.
RESULTS: Overall, 1783 RARP patients were identified. Of those, 407 (22.8%), 764 (42.8%) and 612 (34.3%) were treated between 2004 and 2010, in 2011-2012 and in 2013, respectively. Unfavorable characteristics rate, such as biopsy Gleason Score ≥4+4 (8 vs. 9 vs. 15%, P<0.001), D'Amico high-risk (12 vs. 14 vs. 19%, P=0.001) and pathological Gleason score ≥4+4 (3 vs. 4 vs. 6%, P<0.001) increased over time. Pelvic lymph node dissection (PLND) was more frequently performed over time (62 vs. 83 vs. 84%, P<0.001), especially in D'Amico intermediate or high-risk patients (82 vs. 94 vs. 96%, P<0.001). Lymph node yield increased over time in overall (7 vs. 9 vs. 13, P<0.001), D'Amico intermediate (6 vs. 9 vs. 12, P<0.001) and D'Amico high-risk patients (9 vs. 12 vs. 18, P<0.001). No differences in surgical margin (P=0.7) and nerve sparing rates (P=0.09) were found.
CONCLUSIONS: A clear trend towards more unfavorable tumor characteristics over time was recorded. Additionally, the rates and extent of PLND increased with increasing experience. RAR P does not represent a barrier to PLND at our institution.

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Mesh:

Year:  2016        PMID: 28009147     DOI: 10.23736/S0393-2249.16.02563-7

Source DB:  PubMed          Journal:  Minerva Urol Nefrol        ISSN: 0393-2249            Impact factor:   3.720


  5 in total

1.  Development and validation of 3D printed virtual models for robot-assisted radical prostatectomy and partial nephrectomy: urologists' and patients' perception.

Authors:  Francesco Porpiglia; Riccardo Bertolo; Enrico Checcucci; Daniele Amparore; Riccardo Autorino; Prokar Dasgupta; Peter Wiklund; Ashutosh Tewari; Evangelos Liatsikos; Cristian Fiori
Journal:  World J Urol       Date:  2017-11-10       Impact factor: 4.226

2.  Supra-pubic versus urethral catheter after robot-assisted radical prostatectomy: systematic review of current evidence.

Authors:  Riccardo Bertolo; Andrew Tracey; Prokar Dasgupta; Bernardo Rocco; Salvatore Micali; Giampaolo Bianchi; Lance Hampton; Ash K Tewari; Francesco Porpiglia; Riccardo Autorino
Journal:  World J Urol       Date:  2018-03-29       Impact factor: 4.226

3.  Comparison of intra- and postoperative analgesia and pain perception in robot-assisted vs. open radical prostatectomy.

Authors:  Sophie Knipper; Moritz Hagedorn; Maryam Sadat-Khonsari; Zhe Tian; Pierre I Karakiewicz; Derya Tilki; Hans Heinzer; Uwe Michl; Thomas Steuber; Franziska von Breunig; Christian Zöllner; Markus Graefen
Journal:  World J Urol       Date:  2019-09-06       Impact factor: 4.226

Review 4.  Is Retzius-sparing robot-assisted radical prostatectomy associated with better functional and oncological outcomes? Literature review and meta-analysis.

Authors:  Najib Isse Dirie; Gaurab Pokhrel; Wei Guan; Mukhtar Adan Mumin; Jun Yang; Jackson Ferdinand Masau; Henglong Hu; Shaogang Wang
Journal:  Asian J Urol       Date:  2018-02-09

5.  Changing trends in robot-assisted radical prostatectomy: Inverse stage migration-A retrospective analysis.

Authors:  Harshit Garg; Amlesh Seth; Prabhjot Singh; Rajeev Kumar
Journal:  Prostate Int       Date:  2021-04-28
  5 in total

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