Evidence map›Paper›PMID 37391453›Full record

ArticleScientific reports2023

Effectiveness of creating digital twins with different digital dentition models and cone-beam computed tomography.

Joo-Hee Lee, Hye-Lim Lee, In-Young Park, Sung-Woon On, Soo-Hwan Byun, Byoung-Eun Yang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.7field-weighted citation impact, top 3% of its field
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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
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  10. Recent Advances in Intraoral Scanners.Journal of dental research · 2024
    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

6 authors at 1 institution in 2 countries.

Joo-Hee LeeDivision of Pediatric Dentistry, Hallym University Sacred Heart Hospital, Anyang, 14066, Korea.
Hye-Lim LeeDivision of Pediatric Dentistry, Hallym University Sacred Heart Hospital, Anyang, 14066, Korea.
In-Young ParkDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon, 24252, Korea.
Sung-Woon OnDepartment of Artificial Intelligence and Robotics in Dentistry, Graduate School of Clinical Dentistry, Hallym University, Chuncheon, 24252, Korea.ORCID 0000-0001-6192-1530
Soo-Hwan ByunDivision of Oral and Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang, 14066, Korea.
Byoung-Eun YangDivision of Oral and Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang, 14066, Korea. face@hallym.or.kr.
Hallym University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distortion of dentition may occur in cone-beam computed tomography (CBCT) scans due to artifacts, and further imaging is frequently required to produce digital twins. The use of a plaster model is common; however, it has certain drawbacks. This study aimed to assess the feasibility of different digital dentition models over that of plaster casts. Plaster models, alginate impressions, intraoral scan (IOS) images, and CBCT images of 20 patients were obtained. The desktop model scanner was used to scan the alginate impression twice, five minutes and two hours after impression-making. Using an IOS, the full arch was scanned in segments using CS 3600 and simultaneously with i700 wireless. The digital twins obtained from the alginate impression and IOS were superimposed with those obtained from the plaster cast. The differences and distances at each reference point were measured. Scans of alginate impressions after two hours showed the greatest discrepancies, but these were all less than the CBCT voxel size of 0.39 mm. Alginate impression scans and IOS are suitable supplements to CBCT compared to the plaster model. Accuracy can be improved by scanning the alginate impression within five minutes or by intraoral scanning of the entire arch with segmentation.

Indexed as

Cone-Beam Computed TomographyDentitionAlginatesArtifactsClonal HematopoiesisHumansAlginates

Identifiers

PMID37391453
PMCPMC10313775
OpenAlexW4382777560

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.