Evidence map›Paper›PMID 30923948›Full record

Article3D printing in medicine2019

Methods for verification of 3D printed anatomic model accuracy using cardiac models as an example.

Mohammad Odeh, Dmitry Levin, Jim Inziello, Fluvio Lobo Fenoglietto, Moses Mathur, Joshua Hermsen, Jack Stubbs, Beth Ripley

Abstract read
In one paragraph

Article in 3D printing in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  11. 3D Printing of Physical Organ Models: Recent Developments and Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    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

8 authors.

Mohammad OdehInstitute for Simulation and Training, University of Central Florida, Orlando, FL, USA.
Dmitry LevinDepartment of Medicine, Division of Cardiology, University of Washington School of Medicine, Seattle, WA, USA.
Jim InzielloInstitute for Simulation and Training, University of Central Florida, Orlando, FL, USA.
Fluvio Lobo FenogliettoInstitute for Simulation and Training, University of Central Florida, Orlando, FL, USA.
Moses MathurStructural Interventional Cardiology, Virginia Mason Hospital, Edmonds, WA, USA.
Joshua HermsenDepartment of Surgery, Division of Cardiothoracic Surgery, University of Wisconsin School of Medicine, Madison, WI, USA.
Jack StubbsInstitute for Simulation and Training, University of Central Florida, Orlando, FL, USA.
Beth RipleyVA Puget Sound Health Care System, Seattle, WA, USA. bethannripley@gmail.com.ORCID http://orcid.org/0000-0001-7723-169X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical 3D printing has brought the manufacturing world closer to the patient's bedside than ever before. This requires hospitals and their personnel to update their quality assurance program to more appropriately accommodate the 3D printing fabrication process and the challenges that come along with it.

resultsIn this paper, we explored different methods for verifying the accuracy of a 3D printed anatomical model. Methods included physical measurements, digital photographic measurements, surface scanning, photogrammetry, and computed tomography (CT) scans. The details of each verification method, as well as their benefits and challenges, are discussed.

conclusionThere are multiple methods for model verification, each with benefits and drawbacks. The choice of which method to adopt into a quality assurance program is multifactorial and will depend on the type of 3D printed models being created, the training of personnel, and what resources are available within a 3D printed laboratory.

Indexed as

3D printingAccuracyAdditive manufacturingAnatomical modelsValidationVerification

Identifiers

PMID30923948
PMCPMC6743141

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.