Evidence map›Paper›PMID 38017262›Full record

ArticleScientific reports2023

Accuracy of facial skeletal surfaces segmented from CT and CBCT radiographs.

Mohammed Ghamri, Konstantinos Dritsas, Jannis Probst, Maurus Jäggi, Symeon Psomiadis, Ralf Schulze, Carlalberta Verna, Christos Katsaros, Demetrios Halazonetis, Nikolaos Gkantidis

Abstract 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 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Association ofInternational journal of molecular sciences · 2025
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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

10 authors.

Mohammed GhamriDepartment of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, 3010, Bern, Switzerland.
Konstantinos DritsasDepartment of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, 3010, Bern, Switzerland.
Jannis ProbstDepartment of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, 3010, Bern, Switzerland.
Maurus JäggiDepartment of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, 3010, Bern, Switzerland.
Symeon PsomiadisDepartment of Oral and Maxillofacial Surgery, School of Dentistry, National and Kapodistrian University of Athens, 11527, Athens, Greece.
Ralf SchulzeDivision of Oral Diagnostic Sciences, Department of Oral Surgery and Stomatology, School of Dental Medicine, University of Bern, 3010, Bern, Switzerland.
Carlalberta VernaDepartment of Pediatric Oral Health and Orthodontics, UZB-University Center for Dental Medicine, University of Basel, 4058, Basel, Switzerland.
Christos KatsarosDepartment of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, 3010, Bern, Switzerland.
Demetrios HalazonetisDepartment of Orthodontics, School of Dentistry, National and Kapodistrian University of Athens, 11527, Athens, Greece.
Nikolaos GkantidisDepartment of Orthodontics and Dentofacial Orthopedics, School of Dental Medicine, University of Bern, 3010, Bern, Switzerland. nikolaos.gkantidis@unibe.ch.

Funding

European Orthodontic Society W J B Houston Scholarship AwardFLAG-ERA grant JTC 2019 project MARGOGeneral Secretariat for Research and Technology T11ERA4-00017Schweizerische Zahnärzte-Gesellschaft Protocol Nr. 335-21
6 · The paper itself

Abstract

The accuracy of three-dimensional (3D) facial skeletal surface models derived from radiographic volumes has not been extensively investigated yet. For this, ten human dry skulls were scanned with two Cone Beam Computed Tomography (CBCT) units, a CT unit, and a highly accurate optical surface scanner that provided the true reference models. Water-filled head shells were used for soft tissue simulation during radiographic imaging. The 3D surface models that were repeatedly segmented from the radiographic volumes through a single-threshold approach were used for reproducibility testing. Additionally, they were compared to the true reference model for trueness measurement. Comparisons were performed through 3D surface approximation techniques, using an iterative closest point algorithm. Differences between surface models were assessed through the calculation of mean absolute distances (MAD) between corresponding surfaces and through visual inspection of facial surface colour-coded distance maps. There was very high reproducibility (approximately 0.07 mm) and trueness (0.12 mm on average, with deviations extending locally to 0.5 mm), and no difference between radiographic scanners or settings. The present findings establish the validity of lower radiation CBCT imaging protocols at a similar level to the conventional CT images, when 3D surface models are required for the assessment of facial morphology.

Indexed as

Spiral Cone-Beam Computed TomographyFaceHumansImaging, Three-DimensionalReproducibility of ResultsSkull

Identifiers

PMID38017262
PMCPMC10684569

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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.