Evidence map›Paper›PMID 26980236›Full record

ArticleJournal of biomedical informatics2016

Graphic and haptic simulation for transvaginal cholecystectomy training in NOTES.

Jun J Pan, Woojin Ahn, Saurabh Dargar, Tansel Halic, Bai C Li, Ganesh Sankaranarayanan, Kurt Roberts, Steven Schwaitzberg, Suvranu De

RetractedOpen access · greenAbstract readRetracted Publication
In one paragraph

Article in Journal of biomedical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 29% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Jun J PanState Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China; Center for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, USA. Electronic address: pan_junjun@hotmail.com.
Woojin AhnCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, USA.
Saurabh DargarCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, USA.
Tansel HalicComputer Science Department, University of Central Arkansas, Conway, USA.
Bai C LiCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, USA.
Ganesh SankaranarayananCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, USA.
Kurt RobertsGastrointestinal Surgery, Yale School of Medicine, Yale University, New Heaven, USA.
Steven SchwaitzbergDepartment of Surgery, Cambridge Health Alliance, Harvard Medical School, Boston, USA.
Suvranu DeCenter for Modeling, Simulation and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, USA.
Rensselaer Polytechnic Institute · USCambridge Health Alliance · USUniversity of Central Arkansas · USYale University · US

Funding

Physically Realistic Virtual SurgeryR01EB005807 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI DE, SUVRANU, JACKSON, CULLEN DAVIS · 2006 to 2024
$7.0M
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
NIBIB NIH HHS R01 EB005807NIBIB NIH HHS R01 EB009362NIBIB NIH HHS R01 EB010037NIBIB NIH HHS R01 EB014305
6 · The paper itself

Abstract

backgroundNatural Orifice Transluminal Endoscopic Surgery (NOTES) provides an emerging surgical technique which usually needs a long learning curve for surgeons. Virtual reality (VR) medical simulators with vision and haptic feedback can usually offer an efficient and cost-effective alternative without risk to the traditional training approaches. Under this motivation, we developed the first virtual reality simulator for transvaginal cholecystectomy in NOTES (VTEST™).

methodsThis VR-based surgical simulator aims to simulate the hybrid NOTES of cholecystectomy. We use a 6DOF haptic device and a tracking sensor to construct the core hardware component of simulator. For software, an innovative approach based on the inner-spheres is presented to deform the organs in real time. To handle the frequent collision between soft tissue and surgical instruments, an adaptive collision detection method based on GPU is designed and implemented. To give a realistic visual performance of gallbladder fat tissue removal by cautery hook, a multi-layer hexahedral model is presented to simulate the electric dissection of fat tissue.

resultsFrom the experimental results, trainees can operate in real time with high degree of stability and fidelity. A preliminary study was also performed to evaluate the realism and the usefulness of this hybrid NOTES simulator.

conclusionsThis prototyped simulation system has been verified by surgeons through a pilot study. Some items of its visual performance and the utility were rated fairly high by the participants during testing. It exhibits the potential to improve the surgical skills of trainee and effectively shorten their learning curve.

Indexed as

DissectionGPUInner-sphereNOTESTransvaginal cholecystectomyVirtual reality

Identifiers

PMID26980236
PMCPMC4837073
OpenAlexW2295734570

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.