Evidence map›Paper›PMID 35316954›Full record

ArticleScanning2022

Efficacy of Constructing Digital Hybrid Skull-Dentition Images Using an Intraoral Scanner and Cone-Beam Computed Tomography.

Joo-Hee Lee, Soo-Hwan Byun, Sang-Min Yi, In-Young Park, Byoung-Eun Yang, Hye-Lim Lee

Abstract read
In one paragraph

Article in Scanning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Joo-Hee LeeDivision of Pediatric Dentistry, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea.ORCID https://orcid.org/0000-0001-6907-0283
Soo-Hwan ByunDivision of Oral & Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea.
Sang-Min YiDivision of Oral & Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea.
In-Young ParkGraduate School of Clinical Dentistry, Hallym University, Chuncheon 24252, Republic of Korea.
Byoung-Eun YangDivision of Oral & Maxillofacial Surgery, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea.ORCID https://orcid.org/0000-0002-4446-6772
Hye-Lim LeeDivision of Pediatric Dentistry, Hallym University Sacred Heart Hospital, Anyang 14066, Republic of Korea.ORCID https://orcid.org/0000-0003-3341-4325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cone-beam computed tomography (CBCT) can distort dentition, and additional imaging is often required. A plaster model to help digitize dental images has been widely used in clinical practice, but there are some inconveniences such as complexity of the process and the risk of damage. The aim of this study was to evaluate the potential for improving dentition imaging with CBCT scans using an intraoral scanner instead of a plaster model. The study used laser model-scanned images of plaster models, imaging from two intraoral scanners, and CBCT images from 20 patients aged 12-18 years. CS 3600 (Carestream Dental, Atlanta, USA) and i700 (Medit, Seoul, Korea) were used as intraoral scanners. The full arch was scanned at once or in three sections using intraoral scanners. The segmented scans were merged to obtain full-arch images. With i700, full-arch images were additionally acquired using its "smart stich" function. The virtual skull-dentition hybrid images obtained from intraoral scanners were superimposed with images obtained using a plaster cast. The difference and distance of coordinate values at each reference point were measured. The average distances from the images obtained with the plaster cast were smaller than 0.39 mm, which is the voxel size of CBCT. Scanning the complete or partial arch using CS 3600 or i700 satisfactorily complemented the CBCT when compared to the plaster model. The virtual skull-dentition hybrid image obtained from intraoral scanners will be clinically useful, especially for patients and surgeons who have difficulty in scanning the complete arch at once.

Indexed as

DentitionModels, DentalAdolescentChildCone-Beam Computed TomographyHumansImaging, Three-DimensionalSkull

Identifiers

PMID35316954
PMCPMC8913058

What OpenQuestion holds

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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.