Evidence map›Paper›PMID 36799416›Full record

ArticleCurrent medical imaging2023

Evaluation and Calibration of CBCT Reconstruction Models.

Tao Gao, Yuchun Sun, Fusong Yuan, Shanshan Liang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Tao GaoDental Department, Beijing Jishuitan Hospital, Beijing, China.
Yuchun SunCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology; National Center of Stomatology; National Clinical Research Center for Oral Diseases; National Engineering Laboratory for Digital and Material Technology of Stomatology; NHC Research Center of Engineering and Technology for Digital Dentistry; Beijing Key Laboratory of Digital Stomatology, Beijing, China.
Fusong YuanCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology; National Center of Stomatology; National Clinical Research Center for Oral Diseases; National Engineering Laboratory for Digital and Material Technology of Stomatology; NHC Research Center of Engineering and Technology for Digital Dentistry; Beijing Key Laboratory of Digital Stomatology, Beijing, China.
Shanshan LiangCenter of Digital Dentistry, Department of Prosthodontics, Peking University School and Hospital of Stomatology; National Center of Stomatology; National Clinical Research Center for Oral Diseases; National Engineering Laboratory for Digital and Material Technology of Stomatology; NHC Research Center of Engineering and Technology for Digital Dentistry; Beijing Key Laboratory of Digital Stomatology, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study proposes a method for improving the accuracy of three-dimensional (3D) models generated through cone-beam computed tomography (CBCT).

methodsA 3D cuboid model fitted with a ¼-scale dentition on its top surface was constructed to simulate an alveolar bone with teeth. A physical specimen of the model was printed and the distance between its opposite sides was measured using a vernier caliper. The physical model was light-scanned, and the surface data of the generated 3D model were corrected by calibrating the distance between opposite sides against the vernier caliper measurements. The physical model was also scanned using CBCT to reconstruct a second 3D model. The overall deviation between the two models and the distance deviation in each direction of the cuboid and dentition were quantified and statistically analyzed.

resultsThe overall deviation between the reconstructed CBCT model and the calibrated structured light-scanned model was 0.098 ± 0.001 mm. Following calibration, the overall deviation was 0.010 ± 0.006 mm. A one-way variance analysis suggested that the overall deviations' differences were not statistically significant (P < 0.05).

conclusionThis study lays a solid foundation for accurate dental implantation.

Indexed as

Imaging, Three-DimensionalSpiral Cone-Beam Computed TomographyCalibrationCone-Beam Computed TomographyHumansAccuracy evaluationcalibrationcone-beam computed tomographyimplantationimplant restorationmodel reconstruction

Identifiers

PMID36799416
PMCPMC10339672

What OpenQuestion holds

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LicenceCC BY
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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.