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Learning curve stratified outcomes after robotic pancreatoduodenectomy: International multicenter experience

  • Leia R. Jones
  • , Maurice J.W. Zwart
  • , International Consortium on Minimally Invasive Pancreatic Surgery (I-MIPS)
  • , Nine de Graaf
  • , Kongyuan Wei
  • , Liu Qu
  • , Jin Jiabin
  • , Fu Ningzhen
  • , Shin E. Wang
  • , Hongbeom Kim
  • , Emanuele F. Kauffmann
  • , Roeland F. de Wilde
  • , I. Quintus Molenaar
  • , Ying Jui Chao
  • , Luca Moraldi
  • , Olivier Saint-Marc
  • , Felix Nickel
  • , Cheng Ming Peng
  • , Chang Moo Kang
  • , Marcel Machado
  • Misha D.P. Luyer, Daan J. Lips, Bert A. Bonsing, Thilo Hackert, Yan Shen Shan, Bas Groot Koerkamp, Yi Ming Shyr, Baiyong Shen, Ugo Boggi, Rong Liu, Jin Young Jang, Marc G. Besselink*, Mohammad Abu Hilal*
*Corresponding author for this work
  • Istituto Ospedaliero Fondazione Poliambulanza
  • University of Amsterdam
  • Amsterdam UMC
  • Cancer Center Amsterdam (CCA)
  • General Hospital of People's Liberation Army
  • Shanghai Jiao Tong University
  • Veterans General Hospital-Taipei
  • Seoul National University College of Medicine
  • University of Pisa
  • Utrecht University
  • National Cheng Kung University
  • Azienda Ospedaliera Careggi
  • Center Hospitalier Universitaire Orleans
  • University Hospital Heidelberg
  • Chung Shan Medical University
  • Yonsei University
  • Hospital Sirio-Libanes
  • Catharina Hospital
  • Medisch Spectrum Twente
  • Leiden University
  • University Hospital Southampton NHS Foundation Trust

Research output: Contribution to journalArticleAcademicpeer-review

17 Citations (Scopus)
26 Downloads (Pure)

Abstract

Background: 

Robotic pancreatoduodenectomy is increasingly being implemented worldwide, with good results reported from individual expert centers. However, it is unclear to what extent outcomes will continue to improve during the learning curve, as large international studies are lacking. 

Methods: 

An international retrospective multicenter case series, including consecutive patients after robotic pancreatoduodenectomy from 18 centers in 8 countries in Europe, Asia, and South America until December 31, 2019, was conducted. A cumulative sum analysis was performed to determine the inflection points for the feasibility (operative time and blood loss) and proficiency (postoperative pancreatic fistula grade B/C and major morbidity) learning curves. Outcomes were compared in 3 groups on the basis of the learning curve inflection points. 

Results: 

Overall, 2,186 patients after robotic pancreatoduodenectomy were included. The feasibility learning curve was reached after 30–45 robotic pancreatoduodenectomy procedures and the proficiency learning curve after 90 robotic pancreatoduodenectomy procedures. These inflection points created 3 phases, which were associated with major morbidity (24.7%, 23.4%, and 12.3%, P < .001) but not 30-day mortality (2.1%, 2.0%, and 1.5%, P = .670). Other outcomes mostly continued to improve, including median operative time 432, 390, and 300 minutes (P < .0001), conversion 6.0%, 4.7%, and 2.7% (P = .002), bile leakage 7.2%, 4.1%, and 2.4% (P < .001), postpancreatectomy hemorrhage 6.5%, 6.1%, and 1.8% (n = 21) but not R0 resection (pancreatic ductal adenocarcinoma only) 78.5%, 73.9%, and 82.8% (P = .35), and 90-day mortality rate 3.1%, 3.5%, and 2.1% (P = .191). Centers performing >20 robotic pancreatoduodenectomies annually had lower rates of conversion, reoperation, and shorter median operative time as compared with centers performing 10–20 robotic pancreatoduodenectomies annually. 

Conclusion: 

This international multicenter study demonstrates that most outcomes of robotic pancreatoduodenectomy continued to improve during 3 learning curve phases without a negative effect on 90-day mortality. Randomized studies are needed in high-volume centers that have surpassed the first learning curves, to compare these outcomes with the open approach.

Original languageEnglish
Pages (from-to)1721-1729
Number of pages9
JournalSurgery (United States)
Volume176
Issue number6
DOIs
Publication statusPublished - Dec 2024

Bibliographical note

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© 2024

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