Evidence map›Paper›PMID 36377860›Full record

ReviewProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2023

Engineering functional and anthropomorphic models for surgical training in interventional radiology: A state-of-the-art review.

Zhuo Zhao, Yangmyung Ma, Adeel Mushtaq, Vignesh Radhakrishnan, Yihua Hu, Hongliang Ren, Wenzhan Song, Zion Tsz Ho Tse

Abstract readReview
In one paragraph

Review in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

8 authors.

Zhuo ZhaoSchool of Electrical and Computer Engineering, University of Georgia, Athens, GA, USA.ORCID 0000-0001-6804-2248
Yangmyung MaHull York Medical School, University of York, Heslington, York, UK.ORCID 0000-0003-1118-2164
Adeel MushtaqHull York Medical School, University of York, Heslington, York, UK.
Vignesh RadhakrishnanSchool of Engineering and Materials Science, Queen Mary University of London, London.
Yihua HuSchool of Engineering and Materials Science, Queen Mary University of London, London.
Hongliang RenDepartment of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong, China.
Wenzhan SongDepartment of Computer Science, University of Georgia, Athens, GA, USA.
Zion Tsz Ho TseSchool of Engineering and Materials Science, Queen Mary University of London, London.

Funding

Atlanta Clinical and Translational Science Institute (ACTSI) RenewalUL1TR000454 · NCATS · EMORY UNIVERSITY · PI STEPHENS, DAVID S · 2012 to 2016
$25.8M
NCATS NIH HHS UL1 TR000454
6 · The paper itself

Abstract

Training medical students in surgical procedures and evaluating their performance are both necessary steps to ensure the safety and efficacy of surgeries. Traditionally, trainees practiced on live patients, cadavers or animals under the supervision of skilled physicians, but realistic anatomical phantom models have provided a low-cost alternative because of the advance of material technology that mimics multi-layer tissue structures. This setup provides safer and more efficient training. Many research prototypes of phantom models allow rapid in-house prototyping for specific geometries and tissue properties. The gel-based method and 3D printing-based method are two major methods for developing phantom prototypes. This study excluded virtual reality based technologies and focused on physical phantoms, total 189 works published between 2015 and 2020 on anatomical phantom prototypes made for interventional radiology were reviewed in terms of their functions and applications. The phantom prototypes were first categorized based on fabrication methods and then subcategorized based on the organ or body part they simulated; the paper is organized accordingly. Engineering specifications and applications were analyzed and summarized for each study. Finally, current challenges in the development of phantom models and directions for future work were discussed.

Indexed as

Radiology, InterventionalVirtual RealityPhantoms, ImagingPrinting, Three-Dimensional3D printingAnatomical phantomgelatininterventional radiology

Identifiers

PMID36377860
PMCPMC9841824

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.