Extended pelvic lymph node dissection during radical prostatectomy: comparison between initial robotic experience of a high-volume open surgeon and his contemporary open series.


Journal

Minerva urologica e nefrologica = The Italian journal of urology and nephrology
ISSN: 1827-1758
Titre abrégé: Minerva Urol Nefrol
Pays: Italy
ID NLM: 8503649

Informations de publication

Date de publication:
Dec 2019
Historique:
pubmed: 31 5 2019
medline: 21 3 2020
entrez: 31 5 2019
Statut: ppublish

Résumé

The aim of this study was to evaluate intra- and perioperative outcomes of a single high volume open radical prostatectomy (ORP) surgeon, during his learning curve period for robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection (ePLND). The study included 264 intermediate-high risk prostate cancer patients, treated by ORP + ePLND or RARP + ePLND, prospectively collected. Descriptive statistics compared clinical and pathological variables between groups. Bivariate (Pearson) correlation analysis assessed the relationship between the number of lymph node (LN) removed, positive surgical margins (PSM), surgical time and the number of procedures performed per group. pT stage and Gleason score (GS) were lower in RARP than in ORP group (both P=0.04), while PSM were more frequent in the RARP group (40% vs. 25%; P=0.02). However, PSM decreased with the increase of RARP procedures. The number of LNs removed was 25 and 22, in RARP and ORP group (P=0.03). However, LN+ rate did not differ between groups (11% vs. 16%; P=0.216). In the RARP group, overall surgical time and ePLND time decreased with the increase of surgical procedures (all P<0.001). RARP requires significant learning curve to reduce operative room time and obtain PSM comparable to those of an ORP high-volume surgeon. On the contrary, the quality of ePLND during RARP seems to be not related to the number of procedures performed, allowing removal of a number of LNs that is clinically comparable to ORP.

Sections du résumé

BACKGROUND BACKGROUND
The aim of this study was to evaluate intra- and perioperative outcomes of a single high volume open radical prostatectomy (ORP) surgeon, during his learning curve period for robot-assisted radical prostatectomy (RARP) and extended pelvic lymph node dissection (ePLND).
METHODS METHODS
The study included 264 intermediate-high risk prostate cancer patients, treated by ORP + ePLND or RARP + ePLND, prospectively collected. Descriptive statistics compared clinical and pathological variables between groups. Bivariate (Pearson) correlation analysis assessed the relationship between the number of lymph node (LN) removed, positive surgical margins (PSM), surgical time and the number of procedures performed per group.
RESULTS RESULTS
pT stage and Gleason score (GS) were lower in RARP than in ORP group (both P=0.04), while PSM were more frequent in the RARP group (40% vs. 25%; P=0.02). However, PSM decreased with the increase of RARP procedures. The number of LNs removed was 25 and 22, in RARP and ORP group (P=0.03). However, LN+ rate did not differ between groups (11% vs. 16%; P=0.216). In the RARP group, overall surgical time and ePLND time decreased with the increase of surgical procedures (all P<0.001).
CONCLUSIONS CONCLUSIONS
RARP requires significant learning curve to reduce operative room time and obtain PSM comparable to those of an ORP high-volume surgeon. On the contrary, the quality of ePLND during RARP seems to be not related to the number of procedures performed, allowing removal of a number of LNs that is clinically comparable to ORP.

Identifiants

pubmed: 31144491
pii: S0393-2249.19.03404-0
doi: 10.23736/S0393-2249.19.03404-0
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

597-604

Auteurs

Marco Roscigno (M)

Department of Urology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Giovanni La Croce (G)

Department of Urology, ASST Papa Giovanni XXIII, Bergamo, Italy - giovanni.lacroce@gmail.com.

Richard Naspro (R)

Department of Urology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Maria Nicolai (M)

Department of Urology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Michele Manica (M)

Department of Urology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Manuela Scarcello (M)

Department of Urology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Daniela Chinaglia (D)

Department of Pathology, ASST Papa Giovanni XXIII, Bergamo, Italy.

Luigi F Da Pozzo (LF)

Department of Urology, ASST Papa Giovanni XXIII, University of Milano Bicocca, Bergamo, Italy.

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Classifications MeSH