Evidence map›Paper›PMID 35711071›Full record

ArticleJournal of digital imaging2022

Organs in Color: Utilizing Free Software and Emerging Multi Jet Fusion Technology to Color and Surface Label 3D-Printed Anatomical Models.

Muhammad Rehman, Lauren Arsenault, Ramin Javan

Abstract read
In one paragraph

Article in Journal of digital imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Domain adaptive Sim-to-Real segmentation of oropharyngeal organs.Medical & biological engineering & computing · 2023
    Article
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.

Muhammad RehmanGeorge Washington University of Health Sciences and School of Medicine, Washington, DC, 20037, USA.
Lauren ArsenaultGeorge Washington University of Health Sciences and School of Medicine, Washington, DC, 20037, USA.
Ramin JavanDepartment of Radiology, George Washington University Hospital, 900 23rd St NW, Suite G2092, Washington, DC, 20037, USA. rjavan@mfa.gwu.edu.ORCID 0000-0001-8939-2781

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

3D printing (3DP) is a rapidly evolving innovative technology that has already been utilized for the development of educational anatomic models. Until recently, it was difficult and tedious to create multi-colored models and especially labels due to technological constraints. In this technical note, a comprehensive guide for creating labeled and color-coded anatomic models was created using free software, Blender. We have composed a step-by-step process for taking an existing 3D model and adding labeling and color that is compatible with modern high-quality 3D printing technologies (Multi Jet Fusion). We provided colored and labeled 3D renderings of the surface anatomy of the brain, ventricular system of the brain, the segments of the liver, and coronary arteries as examples of the diverse potential of this technology. Additionally, we 3D printed actual models of the surface anatomy of the brain and ventricles of the brain using HP Multi Jet Fusion to demonstrate the potential of this technology in the creation of anatomic models.

Indexed as

Imaging, Three-DimensionalModels, AnatomicBrainHumansPrinting, Three-DimensionalSoftware3D modelAnatomyColor 3D printingSurface labeling

Identifiers

PMID35711071
PMCPMC9712840

What OpenQuestion holds

Textmetadata
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.