Evidence map›Paper›PMID 30128824›Full record

ArticleSurgical endoscopy2019

A task and performance analysis of endoscopic submucosal dissection (ESD) surgery.

Berk Cetinsaya, Mark A Gromski, Sangrock Lee, Zhaohui Xia, Doga Demirel, Tansel Halic, Coskun Bayrak, Cullen Jackson, Suvranu De, Sudeep Hegde and 4 more

Open access · greenAbstract read
In one paragraph

Article in Surgical endoscopy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Analysis and objective assessment of transoral robotic surgery.International journal of computer assisted radiology and surgery · 2026
    Article
  2. Review
  3. Validity of a virtual reality-based straight coloanal anastomosis simulator.International journal of computer assisted radiology and surgery · 2025
    Article
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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

14 authors at 8 institutions in 1 country.

Berk CetinsayaDepartment of Computer Science, University of Arkansas at Little Rock, Little Rock, AR, United States.
Mark A GromskiDivision of Gastroenterology and Hepatology, Indiana University School of Medicine, Indianapolis, IN, USA.
Sangrock LeeRensselaer Polytechnic Institute, Troy, NY, United States.
Zhaohui XiaRensselaer Polytechnic Institute, Troy, NY, United States.
Doga DemirelDepartment of Computer Science, University of Arkansas at Little Rock, Little Rock, AR, United States.
Tansel HalicDepartment of Computer Science, University of Central Arkansas, 201 Donaghey Ave, Conway, AR, 72035, USA. tanselh@uca.edu.
Coskun BayrakDepartment of Computer Science & Information Systems, Youngstown State University, Youngstown, OH, USA.
Cullen JacksonBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Suvranu DeRensselaer Polytechnic Institute, Troy, NY, United States.
Sudeep HegdeBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Jonah CohenBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Mandeep SawhneyBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Stavros N StavropoulosNYU Winthrop Hospital, New York, NY, USA.
Daniel B JonesBeth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Harvard University · USRensselaer Polytechnic Institute · USBeth Israel Deaconess Medical Center · USUniversity of Arkansas at Little Rock · USConway School of Landscape Design · USIndiana University – Purdue University Indianapolis · USWinthrop-University Hospital · USYoungstown State University · US

Funding

Understanding Hesitant AdoptersP20GM103429 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI Lawrence E Cornett, JERRY WARE · 2012 to 2026
$60.9M
Physically Realistic Virtual SurgeryR01EB005807 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU, JACKSON, CULLEN DAVIS · 2006 to 2024
$7.0M
Development and validation of a virtual airway skill trainer (VAST)R01HL119248 · NHLBI · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU · 2014 to 2017
$2.9M
Development and validation of a Virtual Colorectal Surgical Trainer (VCoST)R01EB025241 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU · 2018 to 2022
$2.7M
Developing Physics-Based Virtual Simulation Technology for Natural Orifice TranslR01EB009362 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2011 to 2014
$2.6M
Development and Validation of a Virtual Electrosurgical Skill Trainer (VEST)R01EB014305 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2012 to 2016
$2.5M
Developing a Virtual Basic Laparoscopic Skill Trainer (VBLaST)R01EB010037 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI CAO, CAROLINE GL, DE, SUVRANU · 2010 to 2013
$2.0M
Development and Validation of a Virtual Endoluminal Surgical Simulator (VESS) for Treatment of Colorectal CancerR01CA197491 · NCI · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU · 2016 to 2019
$1.9M
NCI NIH HHS R01 CA197491NHLBI NIH HHS R01 HL119248NIBIB NIH HHS R01 EB005807NIBIB NIH HHS R01 EB009362NIBIB NIH HHS R01 EB010037NIBIB NIH HHS R01 EB014305NIBIB NIH HHS R01 EB025241NIGMS NIH HHS P20 GM103429
6 · The paper itself

Abstract

backgroundESD is an endoscopic technique for en bloc resection of gastrointestinal lesions. ESD is a widely-used in Japan and throughout Asia, but not as prevalent in Europe or the US. The procedure is technically challenging and has higher adverse events (bleeding, perforation) compared to endoscopic mucosal resection. Inadequate training platforms and lack of established training curricula have restricted its wide acceptance in the US. Thus, we aim to develop a Virtual Endoluminal Surgery Simulator (VESS) for objective ESD training and assessment. In this work, we performed task and performance analysis of ESD surgeries.

methodsWe performed a detailed colorectal ESD task analysis and identified the critical ESD steps for lesion identification, marking, injection, circumferential cutting, dissection, intraprocedural complication management, and post-procedure examination. We constructed a hierarchical task tree that elaborates the order of tasks in these steps. Furthermore, we developed quantitative ESD performance metrics. We measured task times and scores of 16 ESD surgeries performed by four different endoscopic surgeons.

resultsThe average time of the marking, injection, and circumferential cutting phases are 203.4 (σ: 205.46), 83.5 (σ: 49.92), 908.4 s. (σ: 584.53), respectively. Cutting the submucosal layer takes most of the time of overall ESD procedure time with an average of 1394.7 s (σ: 908.43). We also performed correlation analysis (Pearson's test) among the performance scores of the tasks. There is a moderate positive correlation (R = 0.528, p = 0.0355) between marking scores and total scores, a strong positive correlation (R = 0.7879, p = 0.0003) between circumferential cutting and submucosal dissection and total scores. Similarly, we noted a strong positive correlation (R = 0.7095, p = 0.0021) between circumferential cutting and submucosal dissection and marking scores.

conclusionsWe elaborated ESD tasks and developed quantitative performance metrics used in analysis of actual surgery performance. These ESD metrics will be used in future validation studies of our VESS simulator.

Indexed as

Simulation TrainingTask Performance and AnalysisClinical CompetenceDissectionEndoscopic Mucosal ResectionHumansSoftware DesignColorectal cancerEndoscopic submucosal dissectionEndoscopic trainingESD

Identifiers

PMID30128824
PMCPMC6344246
OpenAlexW2888208898

What OpenQuestion holds

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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.