Evidence map›Paper›PMID 37268910›Full record

ArticleBMC oral health2023

Accuracy (trueness and precision) of 3D printed orthodontic models finalized to clear aligners production, testing crowded and spaced dentition.

Vincenzo Grassia, Vincenzo Ronsivalle, Gaetano Isola, Ludovica Nucci, Rosalia Leonardi, Antonino Lo Giudice

Abstract read
In one paragraph

Article in BMC oral health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

6 authors.

Vincenzo GrassiaMultidisciplinary Department of Medical-Surgical and Dental Specialties School of Medicine and Surgery, University of Campania Luigi Vanvitelli, Naples, Italy.
Vincenzo RonsivalleDepartment of General Surgery and Medical-Surgical Specialties, Section of Orthodontics, University of Catania, Catania, Italy.
Gaetano IsolaDepartment of General Surgery and Medical-Surgical Specialties, Section of Orthodontics, University of Catania, Catania, Italy.
Ludovica NucciMultidisciplinary Department of Medical-Surgical and Dental Specialties School of Medicine and Surgery, University of Campania Luigi Vanvitelli, Naples, Italy.
Rosalia LeonardiDepartment of General Surgery and Medical-Surgical Specialties, Section of Orthodontics, University of Catania, Catania, Italy.
Antonino Lo GiudiceDepartment of General Surgery and Medical-Surgical Specialties, Section of Orthodontics, University of Catania, Catania, Italy. antonino.logiudice@unict.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study's objective was to assess the accuracy (trueness and precision) of orthodontic models obtained from crowded and spaced dentition finalized for the production of clear aligners. Four 3D printers featuring different technologies and market segments were used for this purpose.

methodsTwo digital master models were obtained from two patients featuring respectively crowded dentition (CM group) and diastema/edentulous spaces (DEM group). The 3D printers tested were: Form 3B (SLA technology, medium-professional segment), Vector 3SP (SLA technology, industrial segment), Asiga Pro 4K65 (DLP technology, high-professional segment), and Anycubic Photon M3 (LCD technology, entry-level segment). Each 3D printed model was scanned and superimposed onto the reference master model and digital deviation analysis was performed to assess the trueness and precision calculated as root mean square (RMS). All data were statistically examined to obtain intra-group and inter-groups comparisons(p 0.05).

resultsIn both CM and DEM groups, SLA 3D printers (Vector 3SP and Form 3B) showed lower trueness error compared to DLP/LCD technologies (Asiga Pro 4K65, Anycubic Photon M3) (p < 0.001). In general, the entry-level printer (Anycubic Photon M3) showed the greatest trueness error (p < 0.001). Comparing CM and DEM models generated with the same 3D printer, statistically significant differences were found only for Asiga Pro 4k65 and Anycubic Photon M3 printers (p > 0.05). Concerning data of precision, the DLP technology (Asiga Pro 4k65) showed lower error compared to the other 3D printers tested. The trueness and precision errors were within the accepted clinical error for clear aligner manufacturing (< 0.25 mm), with the entry-level 3D printer nearly reaching this value.

conclusionsThe accuracy of orthodontic models generated for clear aligners can be affected by different 3D printer technologies and anatomical characteristics of dental arches.

Indexed as

Orthodontic Appliances, RemovablePrinting, Three-DimensionalComputer-Aided DesignDentitionHumansModels, DentalTechnology3D printingClear alignersDigital orthodonticsOrthodontics

Identifiers

PMID37268910
PMCPMC10239183

What OpenQuestion holds

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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.