Evidence map›Paper›PMID 42121322›Full record

ArticleBJS open2026

Video-based assessment tool for workflow analysis in minimally invasive colorectal surgery: expert consensus-based development and multicentre validation of ColoWorkflow.

Pooja P Jain, Pietro Mascagni, Giuseppe Massimiani, Nabani Banik, Marta Goglia, Lorenzo Arboit, Britty Baby, Andrea Balla, Ludovica Baldari, Gianfranco Silecchia and 7 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in BJS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Pooja P JainInstitute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France.
Pietro MascagniInstitute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France.ORCID 0000-0001-7288-3023
Giuseppe MassimianiInstitute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France.
Nabani BanikUniversity of Strasbourg, CNRS, INSERM, ICube, UMR7357, Strasbourg, France.
Marta GogliaDepartment of Medical-Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Lorenzo ArboitUniversity of Strasbourg, CNRS, INSERM, ICube, UMR7357, Strasbourg, France.
Britty BabyUniversity of Strasbourg, CNRS, INSERM, ICube, UMR7357, Strasbourg, France.
Andrea BallaUniversity Hospital Virgen Macarena, University of Sevilla, Seville, Spain.
Ludovica BaldariDepartment of General and Minimally Invasive Surgery, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Gianfranco SilecchiaDepartment of Medical-Surgical Sciences and Translational Medicine, Faculty of Medicine and Psychology, Sapienza University of Rome, Rome, Italy.
Claudio FiorilloBioimage Analysis Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
CompSurg Colorectal Experts Group
Sergio AlfieriBioimage Analysis Center, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Salvador Morales-CondeUniversity Hospital Virgen Macarena, University of Sevilla, Seville, Spain.ORCID 0000-0003-2833-0717
Deborah S KellerSchool of Biological and Health Systems Engineering, Arizona State University, Tempe, Arizona, USA.
Luigi BoniDepartment of General and Minimally Invasive Surgery, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
Nicolas PadoyInstitute of Image-Guided Surgery, IHU Strasbourg, Strasbourg, France.ORCID 0000-0002-5010-4137

Funding

ANR ANR-10-IAHU-02European UnionIdEx UnistraSFRI
6 · The paper itself

Abstract

backgroundMinimally invasive colorectal surgery is characterized by significant procedural variability, a difficult learning curve, and complications that affect patient outcomes. Video-based assessment offers an opportunity to generate data-driven insights to reduce variability, optimize training, and improve surgical performance. This mixed-methods study aimed to develop and validate a video-based assessment tool for workflow analysis across minimally invasive colorectal procedures.

methodsAn international steering committee panel of seven members coordinated a three-round modified Delphi process. Experts in colorectal surgery and video-based assessment were invited to reach consensus (≥ 70% agreement) on the phases and steps that describe workflows across colorectal surgery procedural videos. The resulting framework informed the development of ColoWorkflow. Four independent raters then applied ColoWorkflow to a multicentre video data set of laparoscopic and robotic colorectal procedures. Applicability and inter-rater reliability were evaluated.

resultsOf 66 invited experts, 41 (62%) from 11 countries completed round 1, 40 (98%) completed round 2, 20 attended the final online consensus meeting, and all (40 of 40) approved the final workflow descriptors. Consensus was achieved on nine procedure-agnostic phases (port placement and abdomen exploration; vascular dissection and ligation, mesocolon/mesorectum dissection, additional lymphadenectomy; colon and/or rectum mobilization; colorectal transection; anastomosis; completion of operation; preplanned additional procedures; unplanned procedures; extracorporeal procedures) and 34 procedure-specific steps that describe colorectal surgery workflows. ColoWorkflow was developed and applied to 54 colorectal surgery videos (left and right hemicolectomies, sigmoid and rectosigmoid resections, and total proctocolectomies) from five centres in four countries. The tool demonstrated broad applicability, as all phase and step labels, except one, were represented in at least one video. Inter-rater reliability was moderate, with a mean Cohen's κ value of 0.72 for phases and 0.67 for steps. Most discrepancies arose at phase transitions and step boundary definitions.

conclusionBased on this preliminary work, ColoWorkflow is a promising tool for workflow analysis across minimally invasive colorectal procedures. Its adoption may help standardize training, accelerate competency acquisition, and advance data-informed surgical quality improvement.

Indexed as

LaparoscopyMinimally Invasive Surgical ProceduresVideo RecordingWorkflowColorectal Surgical ProceduresConsensusDelphi TechniqueHumansReproducibility of ResultsRobotic Surgical Proceduresartificial intelligencelaparoscopic surgerylower gastrointestinal tractquality improvementrobotic surgerysurgical data science

Identifiers

PMID42121322
PMCPMC13167257

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.