Evidence map›Paper›PMID 35313026›Full record

ArticleJournal of prosthodontics : official journal of the American College of Prosthodontists2022

Accuracy of Dental and Industrial 3D Printers.

Eva Anadioti, Brittany Kane, Yu Zhang, Michael Bergler, Francis Mante, Markus B Blatz

Abstract read
In one paragraph

Article in Journal of prosthodontics : official journal of the American College of Prosthodontists, 2022. 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.

  1. Article
  2. Article
  3. Precision in dentistry: how PLA 3D printing settings influence model accuracy.Journal of orofacial orthopedics = Fortschritte der Kieferorthopadie : Organ/official journal Deutsche Gesellschaft fur Kieferorthopadie · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. TranslatingFrontiers in bioengineering and biotechnology · 2026
    Article
  8. Balancing strength and translucency: The role of microstructure in additive and subtractive dental zirconia.Dental materials : official publication of the Academy of Dental Materials · 2025
    Article
  9. Article
  10. Verifying the seating of a 3D-printed removable die using elastomeric matrices: A dental technique.Journal of prosthodontics : official journal of the American College of Prosthodontists · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. 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

6 authors.

Eva AnadiotiDepartment of Preventive and Restorative Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA.ORCID https://orcid.org/0000-0002-0979-3946
Brittany KaneAdvanced Prosthodontics Division, University of California, Los Angeles, Los Angeles, CA.ORCID https://orcid.org/0000-0002-0071-4199
Yu ZhangDepartment of Preventive and Restorative Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA.
Michael BerglerDepartment of Preventive and Restorative Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA.
Francis ManteDepartment of Preventive and Restorative Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA.
Markus B BlatzDepartment of Preventive and Restorative Sciences, University of Pennsylvania School of Dental Medicine, Philadelphia, PA.

Funding

Viscoelastic Modeling Aided Experimental Optimization toward Fracture-Resistant Porcelain-Veneered Zirconia and Lithium Disilicate RestorationsR01DE026279 · NIDCR · UNIVERSITY OF PENNSYLVANIA · PI KIM, JEONGHO, ZHANG, YU · 2017 to 2021
$2.0M
Toward novel translucent and strong nanostructured dental zirconiaR01DE026772 · NIDCR · UNIVERSITY OF PENNSYLVANIA · PI ZHANG, YU · 2017 to 2021
$1.8M
NIDCR NIH HHS R01 DE026279NIDCR NIH HHS R01 DE026772
6 · The paper itself

Abstract

purposeThis in vitro study evaluated the dimensional accuracy of three 3D printers and one milling machine with their respective polymeric materials using a simplified geometrical model. MATERIALS AND

methodsA simplified computer-aided design (CAD) model was created. The test samples were fabricated with three 3D printers: a dental desktop stereolithography (SLA) printer, an industrial SLA printer, and an industrial fused deposition modeling (FDM) printer, as well as a 5-axis milling machine. One polymer material was used per industrial printer and milling machine while two materials were used with the dental printer for a total of five study groups. Test specimens were then digitized using a laboratory scanner. The virtual outer caliper method was used to measure the linear dimensions of the digitized 3D printed and milled specimens in x-, y-, and z-axes, and compare them to the known values of the CAD model. Data were analyzed with Kruskal-Wallis one-way ANOVA on Ranks followed by the Tukey's test.

resultsMilled specimens were not significantly different from the CAD model in any dimension (p > 0.05). All 3D printed specimens were significantly different from the CAD model in all dimensions (p = 0.01), except the dental SLA 3D printer with one of the polymers tested (Bis-GMA) which was not significantly different in two (x and z) dimensions (p = 0.4 and p = 0.12).

conclusionsThe milling technology tested provided greater dimensional accuracy than the selected 3D printing. Printer, printing technology, and material selection affected the accuracy of the printed model.

Indexed as

Computer-Aided DesignStereolithographyPolymersPrinting, Three-DimensionalPolymersAdditive manufacturingdigital dentistryfused deposition modelingindustrial printermillingrapid prototypingstereolithographysubtractive manufacturing

Identifiers

PMID35313026
PMCPMC9902032

What OpenQuestion holds

Textmetadata
LicenceTDM
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.