ArticleMaterials (Basel, Switzerland)2020
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.
Article in Materials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 34 papers.
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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.
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.
Accuracy of Open-source Software in Semi-automatic 3-Dimensional Reconstruction of the Mandible: A Validity and Reliability Study
Evaluation of the Dimensional Changes in the Mandible, Condyles, and the Temporomandibular Joint Following Skeletal Class III Treatment With the Chin Cup Using Low-Dose Computed Tomography
Who cites it
34 citing papers in PubMed.
- Trial
- Artificial intelligence-enabled automatic segmentation of impacted mandibular third molars: A comprehensive comparison of multiple algorithms.Journal of dental sciences · 2026Article
- 3D imaging for dental identification: a pilot investigation of a novel segmentation method using an intra oral scanning device.Forensic science, medicine, and pathology · 2025Article
- Isometric Reflection Analysis of Mandible Symmetry in JIA Patients: Semi-Automatic Novel 3D Approach.Orthodontics & craniofacial research · 2025Article
- Evaluation of Internal and Marginal Accuracy (Trueness and Precision) of Laminates Using DLP Printing and Milling Methods.Biomimetics (Basel, Switzerland) · 2025Article
- Diagnostic Efficacy of Bone SPECT Techniques in Differentiating Unilateral and Bilateral Condylar Hyperplasia.Diagnostics (Basel, Switzerland) · 2024Article
- Accuracy of formula-based volume and image segmentation-based volume in calculation of preoperative cystic jaw lesions' volume.Oral radiology · 2024Article
- Three-Dimensional Modeling and Quantitative Assessment of Mandibular Volume in Ectodermal Dysplasia: A Case Series.Medicina (Kaunas, Lithuania) · 2024Article
- Orthodontic camouflage treatment for a patient with bilateral cleft lip and palate, bilateral crossbite, and microdontic maxillary lateral incisors.European journal of medical research · 2024Review
- Three-Dimensional Segmentation Assisted with Clustering Analysis for Surface and Volume Measurements of Equine Incisor in Multidetector Computed Tomography Data Sets.Sensors (Basel, Switzerland) · 2023Article
- Diagnostic Study of Mandibular Cortical Index Classification Using Dental Cone-Beam Computed Tomography Findings: A Preliminary Cross-Sectional Study.Reports (MDPI) · 2023Article
- Polyether-Ether-Ketone (PEEK) and Its 3D-Printed Quantitate Assessment in Cranial Reconstruction.Journal of functional biomaterials · 2023Article
- Three-dimensional comparison between the effects of mandibular advancement device and maxillomandibular advancement surgery on upper airway.BMC oral health · 2023Article
- Correlation between dental arch form and OSA severity in adult patients: an observational study.Progress in orthodontics · 2023Observational
- Comparison of Artificial Intelligence-Based Applications for Mandible Segmentation: From Established Platforms to In-House-Developed Software.Bioengineering (Basel, Switzerland) · 2023Article
- A pilot investigation of condylar position and asymmetry in patients with unilateral posterior scissors-bite malocclusion based on three-dimensional reconstructive imaging technique.BMC musculoskeletal disorders · 2023Article
- CBCT Images to an STL Model: Exploring the "Critical Factors" to Binarization Thresholds in STL Data Creation.Diagnostics (Basel, Switzerland) · 2023Article
- Design, Analysis, and 3D Printing of a Patient-Specific Polyetheretherketone Implant for the Reconstruction of Zygomatic Deformities.Polymers · 2023Article
- An Overview on Image-Based and Scanner-Based 3D Modeling Technologies.Sensors (Basel, Switzerland) · 2023Review
- Personalized Surgery Service in a Tertiary Hospital: A Method to Increase Effectiveness, Precision, Safety and Quality in Maxillofacial Surgery Using Custom-Made 3D Prostheses and Implants.Journal of clinical medicine · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The accuracy of 3D reconstructions of the craniomaxillofacial region using cone beam computed tomography (CBCT) is important for the morphological evaluation of specific anatomical structures. Moreover, an accurate segmentation process is fundamental for the physical reconstruction of the anatomy (3D printing) when a preliminary simulation of the therapy is required. In this regard, the objective of this study is to evaluate the accuracy of four different types of software for the semiautomatic segmentation of the mandibular jaw compared to manual segmentation, used as a gold standard. Twenty cone beam computed tomography (CBCT) with a manual approach (Mimics) and a semi-automatic approach (Invesalius, ITK-Snap, Dolphin 3D, Slicer 3D) were selected for the segmentation of the mandible in the present study. The accuracy of semi-automatic segmentation was evaluated: (1) by comparing the mandibular volumes obtained with semi-automatic 3D rendering and manual segmentation and (2) by deviation analysis between the two mandibular models. An analysis of variance (ANOVA) was used to evaluate differences in mandibular volumetric recordings and for a deviation analysis among the different software types used. Linear regression was also performed between manual and semi-automatic methods. No significant differences were found in the total volumes among the obtained 3D mandibular models (Mimics = 40.85 cm
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Registered trials
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.