Evidence map›Paper›PMID 32026130›Full record

Article3D printing in medicine2020

3D printed CT-based abdominal structure mannequin for enabling research.

Vahid Anwari, Ashley Lai, Ali Ursani, Karina Rego, Behruz Karasfi, Shailaja Sajja, Narinder Paul

Open access · goldAbstract read
In one paragraph

Article in 3D printing in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Evaluation of User Interfaces for Actuated Control of Endoscopes During Flexible Endoscopy.IEEE journal of translational engineering in health and medicine · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Current Advances in 3D Tissue and Organ Reconstruction.International journal of molecular sciences · 2021
    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

7 authors at 2 institutions in 1 country.

Vahid AnwariJoint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada. vahid.anwari@uhn.ca.ORCID http://orcid.org/0000-0001-5104-2276
Ashley LaiJoint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
Ali UrsaniJoint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
Karina RegoWestern University, London, Ontario, Canada.
Behruz KarasfiJoint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
Shailaja SajjaQuantitative Imaging for Personalized Cancer Medicine (QIPCM) Advanced Imaging Core Lab, Techna Institute, University Health Network, Toronto, Ontario, Canada.
Narinder PaulJoint Department of Medical Imaging, University Health Network, Toronto, Ontario, Canada.
University Health Network · CAWestern University · CA

Funding

Carestream Health N/A
6 · The paper itself

Abstract

An anthropomorphic phantom is a radiologically accurate, tissue realistic model of the human body that can be used for research into innovative imaging and interventional techniques, education simulation and calibration of medical imaging equipment. Currently available CT phantoms are appropriate tools for calibration of medical imaging equipment but have major disadvantages for research and educational simulation. They are expensive, lacking the realistic appearance and characteristics of anatomical organs when visualized during X-ray based image scanning. In addition, CT phantoms are not modular hence users are not able to remove specific organs from inside the phantom for research or training purposes. 3D printing technology has evolved and can be used to print anatomically accurate abdominal organs for a modular anthropomorphic mannequin to address limitations of existing phantoms. In this study, CT images from a clinical patient were used to 3D print the following organ shells: liver, kidneys, spleen, and large and small intestines. In addition, fatty tissue was made using modelling beeswax and musculature was modeled using liquid urethane rubber to match the radiological density of real tissue in CT Hounsfield Units at 120kVp. Similarly, all 3D printed organ shells were filled with an agar-based solution to mimic the radiological density of real tissue in CT Hounsfield Units at 120kVp. The mannequin has scope for applications in various aspects of medical imaging and education, allowing us to address key areas of clinical importance without the need for scanning patients.

Indexed as

3D printingAnthropomorphicComputed tomographyCTMedical educationMedical imagingModularMoldingPhantomTissue mimicking

Identifiers

PMID32026130
PMCPMC7003364
OpenAlexW3012761534

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.