Literature DB >> 31583466

Formalizing video documentation of the Critical View of Safety in laparoscopic cholecystectomy: a step towards artificial intelligence assistance to improve surgical safety.

Pietro Mascagni1,2, Claudio Fiorillo3, Takeshi Urade4, Taha Emre5, Tong Yu5, Taiga Wakabayashi6, Emanuele Felli7, Silvana Perretta4,6,7, Lee Swanstrom4, Didier Mutter4,6,7, Jacques Marescaux4,6, Patrick Pessaux4,6,7, Guido Costamagna3,4, Nicolas Padoy5, Bernard Dallemagne4,6.   

Abstract

BACKGROUND: In laparoscopic cholecystectomy (LC), achievement of the Critical View of Safety (CVS) is commonly advocated to prevent bile duct injuries (BDI). However, BDI rates remain stable, probably due to inconsistent application or a poor understanding of CVS as well as unreliable reporting. Objective video reporting could serve for quality auditing and help generate consistent datasets for deep learning models aimed at intraoperative assistance. In this study, we develop and test a method to report CVS using videos.
METHOD: LC videos performed at our institution were retrieved and the video segments starting 60 s prior to the division of cystic structures were edited. Two independent reviewers assessed CVS using an adaptation of the doublet view 6-point scale and a novel binary method in which each criterion is considered either achieved or not. Feasibility to assess CVS in the edited video clips and inter-rater agreements were evaluated.
RESULTS: CVS was attempted in 78 out of the 100 LC videos retrieved. CVS was assessable in 100% of the 60-s video clips. After mediation, CVS was achieved in 32/78(41.03%). Kappa scores of inter-rater agreements using the doublet view versus the binary assessment were as follows: 0.54 versus 0.75 for CVS achievement, 0.45 versus 0.62 for the dissection of the hepatocystic triangle, 0.36 versus 0.77 for the exposure of the lower part of the cystic plate, and 0.48 versus 0.79 for the 2 structures connected to the gallbladder.
CONCLUSIONS: The present study is the first to formalize a reproducible method for objective video reporting of CVS in LC. Minute-long video clips provide information on CVS and binary assessment yields a higher inter-rater agreement than previously used methods. These results offer an easy-to-implement strategy for objective video reporting of CVS, which could be used for quality auditing, scientific communication, and development of deep learning models for intraoperative guidance.

Entities:  

Keywords:  Bile duct injury; Critical View of Safety; Laparoscopic cholecystectomy; Objective video reporting; Surgical data science; Surgical safety

Mesh:

Year:  2019        PMID: 31583466     DOI: 10.1007/s00464-019-07149-3

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  2 in total

Review 1.  Causes and prevention of laparoscopic bile duct injuries: analysis of 252 cases from a human factors and cognitive psychology perspective.

Authors:  Lawrence W Way; Lygia Stewart; Walter Gantert; Kingsway Liu; Crystine M Lee; Karen Whang; John G Hunter
Journal:  Ann Surg       Date:  2003-04       Impact factor: 12.969

Review 2.  An analysis of the problem of biliary injury during laparoscopic cholecystectomy.

Authors:  S M Strasberg; M Hertl; N J Soper
Journal:  J Am Coll Surg       Date:  1995-01       Impact factor: 6.113

  2 in total
  11 in total

Review 1.  The Advances in Computer Vision That Are Enabling More Autonomous Actions in Surgery: A Systematic Review of the Literature.

Authors:  Andrew A Gumbs; Vincent Grasso; Nicolas Bourdel; Roland Croner; Gaya Spolverato; Isabella Frigerio; Alfredo Illanes; Mohammad Abu Hilal; Adrian Park; Eyad Elyan
Journal:  Sensors (Basel)       Date:  2022-06-29       Impact factor: 3.847

2.  Computer Vision in the Operating Room: Opportunities and Caveats.

Authors:  Lauren R Kennedy-Metz; Pietro Mascagni; Antonio Torralba; Roger D Dias; Pietro Perona; Julie A Shah; Nicolas Padoy; Marco A Zenati
Journal:  IEEE Trans Med Robot Bionics       Date:  2020-11-24

Review 3.  Computer Vision in the Surgical Operating Room.

Authors:  François Chadebecq; Francisco Vasconcelos; Evangelos Mazomenos; Danail Stoyanov
Journal:  Visc Med       Date:  2020-10-15

Review 4.  Surgical data science - from concepts toward clinical translation.

Authors:  Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park; Carla Pugh; Danail Stoyanov; Swaroop S Vedula; Kevin Cleary; Gabor Fichtinger; Germain Forestier; Bernard Gibaud; Teodor Grantcharov; Makoto Hashizume; Doreen Heckmann-Nötzel; Hannes G Kenngott; Ron Kikinis; Lars Mündermann; Nassir Navab; Sinan Onogur; Tobias Roß; Raphael Sznitman; Russell H Taylor; Minu D Tizabi; Martin Wagner; Gregory D Hager; Thomas Neumuth; Nicolas Padoy; Justin Collins; Ines Gockel; Jan Goedeke; Daniel A Hashimoto; Luc Joyeux; Kyle Lam; Daniel R Leff; Amin Madani; Hani J Marcus; Ozanan Meireles; Alexander Seitel; Dogu Teber; Frank Ückert; Beat P Müller-Stich; Pierre Jannin; Stefanie Speidel
Journal:  Med Image Anal       Date:  2021-11-18       Impact factor: 13.828

5.  Recommendation for Photographic Documentation of Safe Laparoscopic Cholecystectomy.

Authors:  Maciej Sebastian; Agata Sebastian; Jerzy Rudnicki
Journal:  World J Surg       Date:  2020-09-04       Impact factor: 3.352

Review 6.  Artificial intelligence assisted display in thoracic surgery: development and possibilities.

Authors:  Zhuxing Chen; Yudong Zhang; Zeping Yan; Junguo Dong; Weipeng Cai; Yongfu Ma; Jipeng Jiang; Keyao Dai; Hengrui Liang; Jianxing He
Journal:  J Thorac Dis       Date:  2021-12       Impact factor: 3.005

7.  Are YouTube Videos a Reliable Training Method for Safe Laparoscopic Cholecystectomy? A Simulated Decision-Making Exercise to Assess the Critical View of Safety.

Authors:  Dimitrios K Manatakis; Emmanouil Mylonakis; Petros Anagnostopoulos; Konstantinos Lamprakakis; Christos Agalianos; Dimitrios P Korkolis; Christos Dervenis
Journal:  Surg J (N Y)       Date:  2021-12-23

Review 8.  Strasberg's Critical View: Strategy for a Safe Laparoscopic Cholecystectomy.

Authors:  Eduardo E Montalvo-Javé; Ericka H Contreras-Flores; Edwin A Ayala-Moreno; Miguel A Mercado
Journal:  Euroasian J Hepatogastroenterol       Date:  2022 Jan-Jun

Review 9.  Artificial Intelligence in Colorectal Cancer Surgery: Present and Future Perspectives.

Authors:  Giuseppe Quero; Pietro Mascagni; Fiona R Kolbinger; Claudio Fiorillo; Davide De Sio; Fabio Longo; Carlo Alberto Schena; Vito Laterza; Fausto Rosa; Roberta Menghi; Valerio Papa; Vincenzo Tondolo; Caterina Cina; Marius Distler; Juergen Weitz; Stefanie Speidel; Nicolas Padoy; Sergio Alfieri
Journal:  Cancers (Basel)       Date:  2022-08-04       Impact factor: 6.575

10.  The critical view of safety during laparoscopic cholecystectomy: Strasberg Yes or No? An Italian Multicentre study.

Authors:  Lucia Ilaria Sgaramella; Angela Gurrado; Alessandro Pasculli; Nicola de Angelis; Riccardo Memeo; Francesco Paolo Prete; Stefano Berti; Graziano Ceccarelli; Marco Rigamonti; Francesco Giuseppe Aldo Badessi; Nicola Solari; Marco Milone; Fausto Catena; Stefano Scabini; Francesco Vittore; Gennaro Perrone; Carlo de Werra; Ferdinando Cafiero; Mario Testini
Journal:  Surg Endosc       Date:  2020-08-11       Impact factor: 4.584

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