Every imaging test is justified by clinical facts and optimized to reduce the X-rays dose delivered to patients. If results from orthopantomogram are inadequate, a cross-sectional tomographic technique is indicated. Today, cone beam computed tomography yields images comparable to CT scan or even better. Some dedicated cone beam machines allow the study of small volumes with a very high definition. Dental and maxillofacial imaging as a whole, including endodontic imaging, formerly dreaded by imagers, is now accessible to cross-sectional imaging.
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http://dx.doi.org/10.1016/s0221-0363(09)74036-3 | DOI Listing |
West Afr J Med
September 2024
Department of Restorative Dentistry, University College Hospital, Ibadan, Oyo State, Nigeria. Email: Phone Number: +2348033890679.
Negotiation of the intricate pulp canal space may pose a challenge in endodontic treatment. Consequently, appropriate diagnosis and thorough knowledge of the pattern and distribution of root canal systems are imperative for a more predictable outcome in the treatment of pulp diseases. Accordingly, cone beam computed tomography (CBCT) is deemed appropriate as an adjunctive diagnostic tool in endodontics.
View Article and Find Full Text PDFBMC Oral Health
January 2025
State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Implant Dentistry, West China Hospital of Stomatology, Sichuan University, Chengdu, 610041, China.
Purpose: This study aimed to evaluate the osteogenic performance of allograft particulate bone and cortical bone blocks combined with xenograft under bovine pericardium membranes, for treating different degrees of labial bone defects in the aesthetic zone.
Materials And Methods: Twenty-four patients with bone defects were divided into two groups based on defect severity (Terheyden 1/4 and 2/4 groups). The Terheyden 1/4 group received granular bone grafts alone, while the Terheyden 2/4 group received cortical bone blocks combined with granular bone grafts.
Am J Orthod Dentofacial Orthop
February 2025
Department of Orthodontics, Faculty of Dentistry, Çanakkale Onsekiz Mart University, Çanakkale, Turkey.
Introduction: This study aimed to assess the precision of an open-source, clinician-trained, and user-friendly convolutional neural network-based model for automatically segmenting the mandible.
Methods: A total of 55 cone-beam computed tomography scans that met the inclusion criteria were collected and divided into test and training groups. The MONAI (Medical Open Network for Artificial Intelligence) Label active learning tool extension was used to train the automatic model.
Clin Oral Investig
January 2025
State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases, West China Hospital of Stomatology, Sichuan University, Chengdu, Sichuan, 610041, China.
Objectives: To develop a platform including a deep convolutional neural network (DCNN) for automatic segmentation of the maxillary sinus (MS) and adjacent structures, and automatic algorithms for measuring 3-dimensional (3D) clinical parameters.
Materials And Methods: 175 CBCTs containing 242 MS were used as the training, validating and testing datasets at the ratio of 7:1:2. The datasets contained healthy MS and MS with mild (2-4 mm), moderate (4-10 mm) and severe (10- mm) mucosal thickening.
J Clin Med
January 2025
Department of Pediatric Dentistry and Preclinical Dentistry, Medical University in Wroclaw, Krakowska 26, 50-425 Wrocław, Poland.
Facial asymmetry can be attributed to a multitude of underlying causes. Multiple reference points can be utilized for guidance in surgery planning. The scope of mandibular overgrowth and asymmetry should always be measured on CBCT radiographs (cone-beam computed tomography).
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