Surgical gestures to evaluate apical dissection of robot-assisted radical prostatectomy.


Journal

Journal of robotic surgery
ISSN: 1863-2491
Titre abrégé: J Robot Surg
Pays: England
ID NLM: 101300401

Informations de publication

Date de publication:
07 Jun 2024
Historique:
received: 04 02 2024
accepted: 03 03 2024
medline: 7 6 2024
pubmed: 7 6 2024
entrez: 7 6 2024
Statut: epublish

Résumé

Previously, our group established a surgical gesture classification system that deconstructs robotic tissue dissection into basic surgical maneuvers. Here, we evaluate gestures by correlating the metric with surgeon experience and technical skill assessment scores in the apical dissection (AD) of robotic-assisted radical prostatectomy (RARP). Additionally, we explore the association between AD performance and early continence recovery following RARP. 78 AD surgical videos from 2016 to 2018 across two international institutions were included. Surgeons were grouped by median robotic caseload (range 80-5,800 cases): less experienced group (< 475 cases) and more experienced (≥ 475 cases). Videos were decoded with gestures and assessed using Dissection Assessment for Robotic Technique (DART). Statistical findings revealed more experienced surgeons (n = 10) used greater proportions of cold cut (p = 0.008) and smaller proportions of peel/push, spread, and two-hand spread (p < 0.05) than less experienced surgeons (n = 10). Correlations between gestures and technical skills assessments ranged from - 0.397 to 0.316 (p < 0.05). Surgeons utilizing more retraction gestures had lower total DART scores (p < 0.01), suggesting less dissection proficiency. Those who used more gestures and spent more time per gesture had lower efficiency scores (p < 0.01). More coagulation and hook gestures were found in cases of patients with continence recovery compared to those with ongoing incontinence (p < 0.04). Gestures performed during AD vary based on surgeon experience level and patient continence recovery duration. Significant correlations were demonstrated between gestures and dissection technical skills. Gestures can serve as a novel method to objectively evaluate dissection performance and anticipate outcomes.

Identifiants

pubmed: 38847926
doi: 10.1007/s11701-024-01902-0
pii: 10.1007/s11701-024-01902-0
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

245

Subventions

Organisme : NCI NIH HHS
ID : R01CA273031
Pays : United States

Informations de copyright

© 2024. The Author(s).

Références

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doi: 10.1002/bjs.7115 pubmed: 20632260
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Auteurs

Maxwell X Otiato (MX)

Catherine and Joseph Aresty Department of Urology, Center for Robotic Simulation and Education, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.

Runzhuo Ma (R)

Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.

Timothy N Chu (TN)

Catherine and Joseph Aresty Department of Urology, Center for Robotic Simulation and Education, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.

Elyssa Y Wong (EY)

Catherine and Joseph Aresty Department of Urology, Center for Robotic Simulation and Education, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.

Christian Wagner (C)

Department of Urology and Urologic Oncology, St. Antonius-Hospital, Gronau, Germany.

Andrew J Hung (AJ)

Department of Urology, Cedars-Sinai Medical Center, Los Angeles, CA, USA. Andrew.Hung@cshs.org.

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