Evidence map›Paper›PMID 32274249›Full record

ArticleAnatomy & cell biology2020

Development of a three-dimensional printed heart from computed tomography images of a plastinated specimen for learning anatomy.

Shairah Radzi, Heang Kuan Joel Tan, Gerald Jit Shen Tan, Wai Yee Yeong, Michael Alan Ferenczi, Naomi Low-Beer, Sreenivasulu Reddy Mogali

Abstract read
In one paragraph

Article in Anatomy & cell biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  4. Review
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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

7 authors.

Shairah RadziLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0003-4510-5108
Heang Kuan Joel TanSingapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-8357-1575
Gerald Jit Shen TanLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-3093-8724
Wai Yee YeongSingapore Centre for 3D Printing, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0003-3640-0877
Michael Alan FerencziLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-0349-331X
Naomi Low-BeerLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-6801-0091
Sreenivasulu Reddy MogaliLee Kong Chian School of Medicine, Nanyang Technological University, Singapore.ORCID https://orcid.org/0000-0002-0981-5607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Learning anatomy is commonly facilitated by use of cadavers, plastic models and more recently three-dimensional printed (3DP) anatomical models as they allow students to physically touch and hold the body segments. However, most existing models are limited to surface features of the specimen, with little opportunity to manipulate the structures. There is much interest in developing better 3DP models suitable for anatomy education. This study aims to determine the feasibility of developing a multi-material 3DP heart model, and to evaluate students' perceptions of the model. Semi-automated segmentation was performed on computed tomgoraphy plastinated heart images to develop its 3D digital heart model. Material jetting was used as part of the 3D printing process so that various colors and textures could be assigned to the individual segments of the model. Morphometric analysis was conducted to quantify the differences between the printed model and the plastinated heart. Medical students' opinions were sought using a 5-point Likert scale. The 3DP full heart was anatomically accurate, pliable and compressible to touch. The major vessels of the heart were color-coded for easy recognition. Morphometric analysis of the printed model was comparable with the plastinated heart. Students were positive about the quality of the model and the majority of them reported that the model was useful for their learning and that they would recommend their use for anatomical education. The successful feasibility study and students' positive views suggest that the development of multi-material 3DP models is promising for medical education.

Indexed as

Anatomical educationEducational toolsMulti-material and-colorSegmentationThree-dimensional printing

Identifiers

PMID32274249
PMCPMC7118264

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.