SynthesisDento maxillo facial radiology2020
Reliability and accuracy of segmentation of mandibular condyles from different three-dimensional imaging modalities: a systematic review.
Synthesis in Dento maxillo facial radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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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.
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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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Two decades of research on CBCT imaging in DMFR - an appraisal of scientific evidence.Dento maxillo facial radiology · 2021Pooled 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
- Comprehensive assessment of mandibular condyle adaptation following mandibular advancement versus mandibular setback surgery.BMC oral health · 2026Article
- A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.Journal of imaging informatics in medicine · 2026Article
- Exploring the relationship between condylar position and pharyngeal airway dimensions using 3D analysis across different skeletal patterns.Scientific reports · 2025Article
- Towards MRI-Only Mandibular Resection Planning: CT-like Bone Segmentation from Routine T1 MRI Images Using Deep Learning.Craniomaxillofacial trauma & reconstruction · 2025Article
- Automatic segmentation and visualization of cortical and marrow bone in mandibular condyle on CBCT: a preliminary exploration of clinical application.Oral radiology · 2025Article
- Automated condylar seating assessment using a deep learning-based three-step approach.Clinical oral investigations · 2024Article
- Reliability of landmark identification for analysis of the temporomandibular joint in real-time MRI.Head & face medicine · 2024Article
- Article
- Automatic Segmentation of Teeth, Crown-Bridge Restorations, Dental Implants, Restorative Fillings, Dental Caries, Residual Roots, and Root Canal Fillings on Orthopantomographs: Convenience and Pitfalls.Diagnostics (Basel, Switzerland) · 2023Article
- Fully automated condyle segmentation using 3D convolutional neural networks.Scientific reports · 2022Article
- Automated cortical thickness measurement of the mandibular condyle head on CBCT images using a deep learning method.Scientific reports · 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
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo critically synthesize the literature surrounding segmentation of the mandibular condyle using three-dimensional imaging modalities. Specifically, analyzing the reliability and accuracy of methods used for three-dimensional condyle segmentation.
methodsThree electronic databases were searched for studies reporting the reliability and accuracy of various methods used to segment mandibular condyles from three-dimensional imaging modalities. Two authors independently reviewed articles for eligibility and data extraction.
resultsNine studies fulfilled the inclusion criteria. Eight studies assessed the condylar segmentation from CBCT images and limited studies were available on non-CBCT three-dimensional imaging modalities. Threshold-based volume segmentation, manual segmentation, and semi-automatic segmentation techniques were presented. Threshold-based volume segmentation reported higher accuracy when completed by an experienced technician compared to clinicians. Adequate reliability and accuracy were observed in manual segmentation. Although adequate reliability was reported in semi-automatic segmentation, data on its accuracy were lacking.
conclusionA definitive conclusion with regards to which current technique is most reliable and accurate to efficiently segment the mandibular condyle cannot be made with the currently available evidence. This is especially true in terms of non-CBCT imaging modalities with very limited literature available.
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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.