Evidence map›Paper›PMID 33673159›Full record

ArticleBiomolecules2021

Quantitative Assessment of 3D Printed Model Accuracy in Delineating Congenital Heart Disease.

Shenyuan Lee, Andrew Squelch, Zhonghua Sun

Abstract read
In one paragraph

Article in Biomolecules, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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  13. A three-dimensional (3D) printed simulator as a feasible assessment tool for evaluating hip arthroscopy skills.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2023
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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

3 authors.

Shenyuan LeeDiscipline of Medical Radiation Science, Curtin Medical School, Curtin University, GPO Box, U1987, Perth, WA 6845, Australia.
Andrew SquelchDiscipline of Exploration Geophysics, Western Australian School of Mines, Minerals, Energy and Chemical Engineering, Curtin University, Perth, WA 6845, Australia.ORCID 0000-0002-9624-0548
Zhonghua SunDiscipline of Medical Radiation Science, Curtin Medical School, Curtin University, GPO Box, U1987, Perth, WA 6845, Australia.ORCID 0000-0002-7538-4761

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3D) printing is promising in medical applications, especially presurgical planning and the simulation of congenital heart disease (CHD). Thus, it is clinically important to generate highly accurate 3D-printed models in replicating cardiac anatomy and defects. The present study aimed to investigate the accuracy of the 3D-printed CHD model by comparing them with computed tomography (CT) images and standard tessellation language (STL) files.

methodsThree models were printed, comprising different CHD pathologies, including the tetralogy of Fallot (ToF), ventricular septal defect (VSD) and double-outlet right-ventricle (DORV). The ten anatomical locations were measured in each comparison. Pearson's correlation coefficient, Bland-Altman analysis and intra-class correlation coefficient (ICC) determined the model accuracy.

resultsAll measurements with three printed models showed a strong correlation (r = 0.99) and excellent reliability (ICC = 0.97) when compared to original CT images, CT images of the 3D-printed models, STL files and 3D-printed CHD models.

conclusionThis study demonstrated the high accuracy of 3D-printed heart models with excellent correlation and reliability when compared to multiple source data. Further investigation into 3D printing in CHD should focus on the clinical value and the benefits to patients.

Indexed as

Computer SimulationModels, BiologicalPrinting, Three-DimensionalHeart Defects, CongenitalHumansReproducibility of Results3D printingaccuracycomparisoncongenital heart diseasemodelsimulation

Identifiers

PMID33673159
PMCPMC7917618

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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.