ArticleClinical oral investigations2013
The influence of the segmentation process on 3D measurements from cone beam computed tomography-derived surface models.
Article in Clinical oral investigations, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.
- Reliability and accuracy of segmentation of mandibular condyles from different three-dimensional imaging modalities: a systematic review.Dento maxillo facial radiology · 2020Pooled it
- Effect of segmentation techniques (manual versus semiautomatic) on the accuracy of the linear measurements driven from the reconstructed mandibular condyle using CBCT.BMC oral health · 2026Trial
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- Trial
- Spatial Discrepancies in CBCT-Based Localization of Impacted Mandibular Third Molars.International dental journal · 2026Article
- The impact of teeth and dental restorations on gray value distribution in cone-beam computer tomography: a pilot study.International journal of implant dentistry · 2023Article
- The impact of CBCT-head tilting on 3D condylar segmentation reproducibility.Dento maxillo facial radiology · 2023Article
- Precision of a Hand-Held 3D Surface Scanner in Dry and Wet Skeletal Surfaces: An Ex Vivo Study.Diagnostics (Basel, Switzerland) · 2022Article
- Comparability of skeletal fibulae surfaces generated by different source scanning (dual-energy CT scan vs. high resolution laser scanning) and 3D geometric morphometric validation.Journal of anatomy · 2022Article
- Assessment of the accuracy of laser-scanned models and 3-dimensional rendered cone-beam computed tomographic images compared to digital caliper measurements on plaster casts.Imaging science in dentistry · 2021Article
- Reliability and accuracy of automatic segmentation of mandibular 3D models on linear measurements.Clinical oral investigations · 2021Article
- Radiographic Evaluation of Bone Remodeling after Additively Manufactured Subperiosteal Jaw Implantation (AMSJI) in the Maxilla: A One-Year Follow-Up Study.Journal of clinical medicine · 2021Article
- Automated cortical thickness measurement of the mandibular condyle head on CBCT images using a deep learning method.Scientific reports · 2021Article
- The Evolution of the Cephalometric Superimposition Techniques from the Beginning to the Digital Era: A Brief Descriptive Review.International journal of dentistry · 2021Article
- Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandibular Condyle. A Comparative Study Using a Surface-to-Surface Matching Technique.International journal of environmental research and public health · 2020Article
- One Step before 3D Printing-Evaluation of Imaging Software Accuracy for 3-Dimensional Analysis of the Mandible: A Comparative Study Using a Surface-to-Surface Matching Technique.Materials (Basel, Switzerland) · 2020Article
- Validation of a 3D CBCT-based protocol for the follow-up of mandibular condyle remodeling.Dento maxillo facial radiology · 2020Article
- Linear and Volumetric Mandibular Asymmetries in Adult Patients With Different Skeletal Classes and Vertical Patterns: A Cone-Beam Computed Tomography Study.Scientific reports · 2018Article
- Cone beam computed tomography in implant dentistry: recommendations for clinical use.BMC oral health · 2018Review
- Soft tissue coverage on the segmentation accuracy of the 3D surface-rendered model from cone-beam CT.Clinical oral investigations · 2017Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To compare the accuracy of linear and angular measurements between cephalometric and anatomic landmarks on surface models derived from 3D cone beam computed tomography (CBCT) with two different segmentation protocols was the aim of this study. CBCT scans were made of cadaver heads and 3D surface models were created of the mandible using two different segmentation protocols. A high-resolution laser surface scanner was used to make a 3D model of the macerated mandibles. Twenty linear measurements at 15 anatomic and cephalometric landmarks between the laser surface scan and the 3D models generated from the two segmentation protocols (commercial segmentation (CS) and doctor's segmentation (DS) groups) were measured. The interobserver agreement for all the measurements of the all three techniques was excellent (intraclass correlation coefficient 0.97-1.00). The results are for both groups very accurate, but only for the measurements on the condyle and lingual part of the mandible, the measurements in the CS group is slightly more accurate than the DS group. 3D surface models produced by CBCT are very accurate but slightly inferior to reality when threshold-based methods are used. Differences in the segmentation process resulted in significant clinical differences between the measurements. Care has to be taken when drawing conclusions from measurements and comparisons made from different segmentations, especially at the condylar region and the lingual side of the mandible.
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