Retrospective analysis of the learning curve in perineal robot-assisted prostate biopsy.

image‐guided biopsy learning curve perineal fusion biopsy prostatic neoplasms robot‐assisted surgery

Journal

The Prostate
ISSN: 1097-0045
Titre abrégé: Prostate
Pays: United States
ID NLM: 8101368

Informations de publication

Date de publication:
02 Jun 2024
Historique:
revised: 02 05 2024
received: 08 02 2024
accepted: 21 05 2024
medline: 2 6 2024
pubmed: 2 6 2024
entrez: 2 6 2024
Statut: aheadofprint

Résumé

Magnetic resonance imaging-transrectal ultrasound (MRI-TRUS)-fusion biopsy (FBx) of the prostate allows targeted sampling of suspicious lesions within the prostate, identified by multiparametric MRI. Due to its reliable results and feasibility, perineal MRI/TRUS FBx is now the gold standard for prostate cancer (PC) diagnosis. There are various systems for performing FBx on the market, for example, software-based, semirobotic, or robot-assisted platform solutions. Their semiautomated workflow promises high process quality independent of the surgeon's experience. The aim of this study was to analyze how the surgeon's experience influences the cancer detection rate (CDR) via targeted biopsy (TB) and the procedure's duration in robot-assisted FBx. A total of 1716 men who underwent robot-assisted FBx involving a combination of targeted and systematic sampling between October 2015 and April 2022 were analyzed. We extracted data from the patients' electronic medical records retrospectively. Primary endpoints were the CDR by TB and the procedure's duration. For our analysis, surgeons were divided into three levels of experience: ≤20 procedures (little), 21-100 procedures (intermediate), and >100 procedures (high). Statistical analysis was performed via regression analyses and group comparisons. Median age, prostate-specific antigen level, and prostate volume of the cohort were 67 (±7.7) years, 8.13 (±9.4) ng/mL, and 53 (±34.2) mL, respectively. Median duration of the procedure was 26 (±10.9) min. The duration decreased significantly with the surgeon's increasing experience from 35.1 (little experience) to 28.4 (intermediate experience) to 24.0 min (high experience) (p < 0.001). Using TB only, significant PC (sPC) was diagnosed in 872/1758 (49.6%) of the men. The CDR revealed no significant correlation with the surgeon's experience in either group comparison (p = 0.907) or in regression analysis (p = 0.65). While the duration of this procedure decreases with increasing experience, the detection rate of sPC in TB is not significantly associated with the experience of the surgeon performing robot-assisted FBx. This robot-assisted biopsy system's diagnostic accuracy therefore appears to be independent of experience.

Identifiants

pubmed: 38824436
doi: 10.1002/pros.24753
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 The Author(s). The Prostate published by Wiley Periodicals LLC.

Références

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Auteurs

Ruth Himmelsbach (R)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Alexander Hackländer (A)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Moritz Weishaar (M)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Jonathan Morlock (J)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Dominik Schoeb (D)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Cordula Jilg (C)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Christian Gratzke (C)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Markus Grabbert (M)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

August Sigle (A)

Department of Urology, Faculty of Medicine, University of Freiburg-Medical Centre, Freiburg, Germany.

Classifications MeSH