Evidence map›Paper›PMID 37479870›Full record

ArticleClinical oral investigations2023

Particle generation and dispersion from high-speed dental drilling.

M Shyam Kumar, Ruichen He, Lei Feng, Paul Olin, Hooi Pin Chew, Paul Jardine, Gary C Anderson, Jiarong Hong

Abstract read
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In one paragraph

Article in Clinical oral investigations, 2023. 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. 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

8 authors.

M Shyam KumarDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA.
Ruichen HeDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA.
Lei FengDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA.
Paul OlinUniversity of Minnesota School of Dentistry, Minneapolis, MN, USA.
Hooi Pin ChewUniversity of Minnesota School of Dentistry, Minneapolis, MN, USA.
Paul JardineUniversity of Minnesota School of Dentistry, Minneapolis, MN, USA.
Gary C AndersonUniversity of Minnesota School of Dentistry, Minneapolis, MN, USA.
Jiarong HongDepartment of Mechanical Engineering, University of Minnesota, Minneapolis, MN, USA. jhong@umn.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the characteristics of particle generation and dispersion during dental procedure using digital inline holography (DIH)

methodsParticles at two locations, near-field and far-field, which represent the field closer to the procedure location and within 0.5 m from the procedure location respectively, are studied using two different DIH systems. The effect of three parameters namely rotational speed, coolant flow rate, and bur angle on particle generation and dispersion are evaluated by using 10 different operating conditions. The particle characteristics at different operating conditions are estimated from the holograms using machine learning-based analysis.

resultsThe particle concentration decreased by at least two orders of magnitude between the near-field and far-field locations across the 10 different operating conditions, indicating significant dispersion of the particles. High rotational speed is found to produce a larger number of smaller particles, while lower rotational speeds generate larger particles. Coolant flow rate is found to have a greater impact on particle transport to the far-field location. Irregular shape dental particles account for 29% of total particles at far-field location, with the majority of these irregular shape particles having diameters ranging from 12 to 18 μm.

conclusionsAll three parameters have significant effects on particle generation and dispersion, with rotational speed having a more significant influence on particle generation at near-field and coolant flow rate playing a more important role on particle transport to the far-field. CLINICAL RELEVANCE: This study provides valuable insights on particle characteristics during high-speed drilling. It can help dental professionals minimize exposure risks for themselves and patients by optimizing clinical operating conditions.

Indexed as

Dental public healthDigital inline holographyHigh speed dental drillingImagingMachine learningParticle/aerosol generation

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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.