Evidence map›Paper›PMID 35887909›Full record

ArticleJournal of clinical medicine2022

Development and Validation of a Virtual Reality Simulator for Robot-Assisted Minimally Invasive Liver Surgery Training.

Alan Kawarai Lefor, Saúl Alexis Heredia Pérez, Atsushi Shimizu, Hung-Ching Lin, Jan Witowski, Mamoru Mitsuishi

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Alan Kawarai LeforDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0001-6673-5630
Saúl Alexis Heredia PérezResearch and Development Center, Sony Group Corporation, Tokyo 108-0075, Japan.ORCID 0000-0002-1812-8649
Atsushi ShimizuDepartment of Surgery, Jichi Medical University, Tochigi 329-0498, Japan.
Hung-Ching LinDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.
Jan WitowskiDepartment of Radiology, NYU Grossman School of Medicine, New York, NY 10016, USA.ORCID 0000-0001-9284-4830
Mamoru MitsuishiDepartment of Bioengineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.
Jichi Medical University · JPThe University of Tokyo · JPNew York University · USSony Computer Science Laboratories · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The value of kinematic data for skill assessment is being investigated. This is the first virtual reality simulator developed for liver surgery. This simulator was coded in C++ using PhysX and FleX with a novel cutting algorithm and used a patient data-derived model and two instruments functioning as ultrasonic shears. The simulator was evaluated by nine expert surgeons and nine surgical novices. Each participant performed a simulated metastasectomy after training. Kinematic data were collected for the instrument position. Each participant completed a survey. The expert participants had a mean age of 47 years and 9/9 were certified in surgery. Novices had a mean age of 30 years and 0/9 were certified surgeons. The mean path length (novice 0.76 ± 0.20 m vs. expert 0.46 ± 0.16 m,

Indexed as

kinematic parameterssimulation trainingvirtual reality

Identifiers

PMID35887909
PMCPMC9322966
OpenAlexW4285732210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.