journal
https://read.qxmd.com/read/38518093/dmaf-net-deformable-multi-scale-adaptive-fusion-network-for-dental-structure-detection-with-panoramic-radiographs
#1
JOURNAL ARTICLE
Wei Li, Yuanjun Wang, Yu Liu
OBJECTIVES: Panoramic radiography is one of the most commonly used diagnostic modalities in dentistry. Automatic recognition of panoramic radiography helps dentists in decision support. In order to improve the accuracy of the detection of dental structural problems in panoramic radiographs, we have improved the YOLO network and verified the feasibility of this new method in aiding the detection of dental problems. METHODS: We propose a Deformable Multi-scale Adaptive Fusion Net (DMAF-Net) to detect five types of dental situations (impacted teeth, missing teeth, implants, crown restorations and root canal-treated teeth) in panoramic radiography by improving the You Only Look Once (YOLO) network...
March 22, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38502963/artificial-intelligence-system-for-automatic-maxillary-sinus-segmentation-on-cone-beam-computed-tomography-images
#2
JOURNAL ARTICLE
Ibrahim Sevki Bayrakdar, Nermin Sameh Elfayome, Reham Ashraf Hussien, Ibrahim Tevfik Gulsen, Alican Kuran, Ihsan Gunes, Alwaleed Al-Badr, Ozer Celik, Kaan Orhan
OBJECTIVES: The study aims to develop an artificial intelligence (AI) model based on nnU-Net v2 for automatic maxillary sinus (MS) segmentation in Cone Beam Computed Tomography (CBCT) volumes and to evaluate the performance of this model. METHODS: In 101 CBCT scans, MS were annotated using the CranioCatch labelling software (Eskisehir, Turkey) The dataset was divided into three parts: 80 CBCT scans for training the model, 11 CBCT scans for model validation, and 10 CBCT scans for testing the model...
March 19, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38502962/differentiation-of-salivary-gland-tumors-using-diffusion-weighted-image-based-virtual-mr-elastography-a-pilot-study
#3
JOURNAL ARTICLE
Hye Na Jung, Inseon Ryoo, Sangil Suh, Byungjun Kim, Sung-Hye You, Eunju Kim
OBJECTIVES: Differentiation among benign salivary gland tumors, Warthin tumors, and malignant salivary gland tumors is crucial to treatment planning and predicting patient prognosis. However, differentiation of those tumors using imaging findings remains difficult. This study evaluated the usefulness of elasticity determined from Diffusion-weighted image (DWI)-based virtual MR elastography (MRE) compared with conventional MRI findings in differentiating the tumors. METHODS: This study included 17 benign salivary gland tumors, six Warthin tumors, and 11 malignant salivary gland tumors scanned on neck MRI...
March 19, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38483289/improving-resolution-of-panoramic-radiographs-super-resolution-concept
#4
JOURNAL ARTICLE
Mahmut Emin Çelik, Mahsa Mikaeili, Berrin Çelik
No abstract text is available yet for this article.
March 14, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38466923/effect-of-metal-artifact-reduction-level-on-the-assessment-of-dental-implant-positioning-by-cone-beam-computed-tomography
#5
JOURNAL ARTICLE
Camila Porto Capel, Raphael Jurca Gonçalves da Motta, Ruben Pauwels, Hugo Gaêta-Araujo, Christiano Oliveira-Santos, Camila Tirapelli
OBJECTIVES: This study evaluated the effect of metal artifact reduction (MAR) level and tube current on the assessment of dental implant positioning relative to the mandibular canal (MC) through cone-beam computed tomography (CBCT). MATERIALS AND METHODS: Titanium dental implants were placed in dried mandibles at 0.5 mm superior to the MC (Group 1/n = 8), 0.5 mm inside the MC with perforation of the cortex (Group 2/n = 10)...
March 11, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38429951/accuracy-of-linear-measurements-for-implant-planning-based-on-low-dose-cone-beam-ct-protocols-a-systematic-review-and-meta-analysisaccuracy-of-low-dose-cbct-a-systematic-review-and-meta-analysis
#6
JOURNAL ARTICLE
Ana Luiza E Carneiro, Isabella N R Reis, Fernando Valentim Bitencourt, Daniela M R A Salgado, Claudio Costa, Rubens Spin-Neto
OBJECTIVES: The aim of this systematic review was to verify the accuracy of linear measurements performed on low-dose CBCT protocols for implant planning, in comparison with those performed on standard and high-resolution CBCT protocols. METHODS: The literature search included four databases (Pubmed, Web of Science, Embase, and Scopus). Two reviewers independently screened titles/abstracts and full texts according to eligibility criteria, extracted the data, and examined the methodological quality...
March 1, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38426379/a-ultrasound-based-histogram-analysis-model-for-prediction-of-tumor-stroma-ratio-in-pleomorphic-adenoma-of-the-salivary-gland
#7
JOURNAL ARTICLE
Huan-Zhong Su, Yu-Hui Wu, Long-Cheng Hong, Kun Yu, Mei Huang, Yi-Ming Su, Feng Zhang, Zuo-Bing Zhang, Xiao-Dong Zhang
OBJECTIVES: Preoperative identification of different stromal subtypes of pleomorphic adenoma (PA) of the salivary gland is crucial for making treatment decisions. We aimed to developed and validated a model based on histogram analysis (HA) of ultrasound (US) images for predicting tumor stroma ratio (TSR) in SPA. METHODS: A total of 219 PA patients were divided into low-TSR (stroma-low) and high-TSR (stroma-high) groups, and enrolled in a training cohort (n = 151) and a validation cohort (n = 68)...
February 29, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38374464/ai-based-automated-pre-processing-and-classification-of-impacted-maxillary-canines-in-panoramic-radiographs
#8
JOURNAL ARTICLE
Ali Abdulkreem, Tanmoy Bhattacharjee, Hessa Alzaabi, Kawther Alali, Angela Gonzalez, Jahanzeb Chaudhry, Sabarinath Prasad
OBJECTIVES: Automating the digital workflow for diagnosing impacted canines using panoramic radiographs (PRs) is challenging. This study explored feature extraction, automated cropping, and classification of impacted and non-impacted canines as a first step. METHODS: A convolutional neural network (CNN) with SqueezeNet architecture was first trained to classify two groups of PRs (91with, and 91without impacted canines) on the MATLAB programming platform. Based on results, the need to crop the PRs was realized...
February 19, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38290763/feasibility-of-frozen-soft-tissues-to-simulate-fresh-soft-tissue-conditions-in-cone-beam-computed-tomography-cbct-scans
#9
JOURNAL ARTICLE
Matheus L Oliveira, Michael M Bornstein, Dorothea Dagassan-Berndt
OBJECTIVES: To evaluate the feasibility of frozen soft tissues in simulating fresh soft tissues of pig mandibles using cone beam computed tomography (CBCT). METHODS: Two fresh pig mandibles with soft tissues containing two tubes filled with a radiopaque homogeneous solution were scanned using four CBCT units and two field-of-view sizes each. The pig mandibles were deep-frozen and scanned again. Three cross-sections were exported from each CBCT volume and grouped into pairs, with one cross-section representing a fresh and one a frozen mandible...
January 30, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38273661/panoramic-imaging-errors-in-machine-learning-model-development-a-systematic-review
#10
JOURNAL ARTICLE
Eduardo Delamare, Xingyue Fu, Zimo Huang, Jinman Kim
OBJECTIVES: To investigate the management of imaging errors from panoramic radiography (PAN) datasets used in the development of machine learning (ML) models. METHODS: This systematic literature followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and used three databases. Keywords were selected from relevant literature. ELIGIBILITY CRITERIA: PAN studies that used ML models and mentioned image quality concerns. RESULTS: Out of 400 articles, 41 papers satisfied the inclusion criteria...
January 25, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38268503/clinical-and-radiological-features-of-malformed-mesiodens-in-the-nasopalatine-canal-an-observational-study
#11
JOURNAL ARTICLE
Yu-Ri Kim, Yu-Min Lee, Kyung-Hoe Huh, Won-Jin Yi, Min-Suk Heo, Sam-Sun Lee, Jo-Eun Kim
OBJECTIVES: The purpose of this study is to investigate the morphological changes that occur when mesiodens is located within the nasopalatine canal, as well as clinical characteristics. METHODS: Clinical records and computed tomography (CT) images of patients who had mesiodens in the nasopalatine canal were retrospectively analyzed. In addition to demographic information, clinical symptoms and complications associated with extraction of mesiodens were recorded...
January 24, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38265247/the-use-of-cbct-in-orthodontics-with-special-focus-on-upper-airway-analysis-in-patients-with-sleep-disordered-breathing
#12
JOURNAL ARTICLE
Fabio Savoldi, Dorothea Dagassan-Berndt, Raphael Patcas, Wing-Sze Mak, Georgios Kanavakis, Carlalberta Verna, Min Gu, Michael M Bornstein
Applications of cone-beam computed tomography (CBCT) in orthodontics have been increasingly discussed and evaluated in science and practice over the last two decades. The present work provides a comprehensive summary of current consolidated practice guidelines, cutting-edge innovative applications, and future outlooks about potential use of CBCT in orthodontics with a special focus on upper airway analysis in patients with sleep-disordered breathing (SDB). The present scoping review reveals that clinical applications of CBCT in orthodontics are broadly supported by evidence for the diagnosis of dental anomalies, temporomandibular joint disorders, and craniofacial malformations...
January 23, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38180877/a-content-aware-chatbot-based-on-gpt-4-provides-trustworthy-recommendations-for-cone-beam-computed-tomography-guidelines-in-dental-imaging
#13
JOURNAL ARTICLE
Maximilian Frederik Russe, Alexander Rau, Michael Andreas Ermer, René Rothweiler, Sina Wenger, Klara Klöble, Ralf Schulze, Fabian Bamberg, Rainer Schmelzeisen, Marco Reisert, Wiebke Semper-Hogg
OBJECTIVES: To develop a content-aware chatbot based on GPT-3.5-Turbo and GPT-4 with specialized knowledge on the German S2 Cone-Beam CT (CBCT) dental imaging guideline and to compare the performance against humans. METHODS: The LlamaIndex software library was used to integrate the guideline context into the chatbots. Based on the CBCT S2 guideline, 40 questions were posed to content-aware chatbots and early career and senior practitioners with different levels of experience served as reference...
January 5, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38330501/ultra-low-dose-photon-counting-ct-of-paranasal-sinus-an-in-vivo-comparison-of-radiation-dose-and-image-quality-to-cone-beam-ct
#14
JOURNAL ARTICLE
Hanns Leonhard Kaatsch, Florian Fulisch, Daniel Dillinger, Laura Kubitscheck, Benjamin V Becker, Joel Piechotka, Marc A Brockmann, Matthias F Froelich, Stefan O Schoenberg, Daniel Overhoff, Stephan Waldeck
PURPOSE: This study investigated the differences in subjective and objective image parameters as well as dose exposure of photon-counting CT (PCCT) compared to cone-beam CT (CBCT) in paranasal sinus imaging for the assessment of rhinosinusitis and sinonasal anatomy. METHODS: This single-centre retrospective study included 100 patients, who underwent either clinically indicated PCCT or CBCT of the paranasal sinus. Two blinded experienced ENT radiologists graded image quality and delineation of specific anatomical structures on a 5-point Likert scale...
February 8, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38214946/skeletal-facial-asymmetry-reliability-of-manual-and-artificial-intelligence-driven-analysis
#15
JOURNAL ARTICLE
Natalia Kazimierczak, Wojciech Kazimierczak, Zbigniew Serafin, Paweł Nowicki, Tomasz Jankowski, Agnieszka Jankowska, Joanna Janiszewska-Olszowska
OBJECTIVES: To compare artificial intelligence (AI)-driven web-based platform and manual measurements for analysing facial asymmetry in craniofacial CT examinations. METHODS: The study included 95 craniofacial CT scans from patients aged 18-30 years. The degree of asymmetry was measured based on AI platform-predefined anatomical landmarks: sella (S), condylion (Co), anterior nasal spine (ANS), and menton (Me). The concordance between the results of automatic asymmetry reports and manual linear 3D measurements was calculated...
January 11, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38214945/machine-learning-assessment-of-dental-age-classification-based-on-cone-beam-ct-images-a-different-approach
#16
JOURNAL ARTICLE
Ozlem B Dogan, Hatice Boyacioglu, Dincer Goksuluk
OBJECTIVES: Machine learning (ML) algorithms are a portion of artificial intelligence that may be used to create more accurate algorithmic procedures for estimating an individual's dental age or defining an age classification. This study aims to use ML algorithms to evaluate the efficacy of pulp/tooth area ratio (PTR) in cone-beam CT (CBCT) images to predict dental age classification in adults. METHODS: CBCT images of 236 Turkish individuals (121 males and 115 females) from 18 to 70 years of age were included...
January 11, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38214944/a-nomogram-based-on-ultrasound-scoring-system-for-differentiating-between-immunoglobulin-g4-related-sialadenitis-and-primary-sj%C3%A3-gren-syndrome
#17
JOURNAL ARTICLE
Huan-Zhong Su, Long-Cheng Hong, Mei Huang, Feng Zhang, Yu-Hui Wu, Zuo-Bing Zhang, Xiao-Dong Zhang
OBJECTIVES: Accurate distinguishing between immunoglobulin G4-related sialadenitis (IgG4-RS) and primary Sjögren syndrome (pSS) is crucial due to their different treatment approaches. This study aimed to construct and validate a nomogram based on the ultrasound (US) scoring system for the differentiation of IgG4-RS and pSS. METHODS: A total of 193 patients with a clinical diagnosis of IgG4-RS or pSS treated at our institution were enrolled in the training cohort (n = 135; IgG4-RS = 28, pSS = 107) and the validation cohort (n = 58; IgG4-RS = 15, pSS = 43)...
January 11, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38214943/morphological-variation-of-gubernacular-tracts-for-permanent-mandibular-canines-in-eruption-a-three-dimensional-analysis
#18
JOURNAL ARTICLE
Pei Liu, Renpeng Li, Yong Cheng, Bo Li, Lili Wei, Wei Li, Xiaolong Guo, Hang Li, Fang Wang
OBJECTIVES: This study aims to evaluate the morphological features of gubernacular tract (GT) for erupting permanent mandibular canines at different ages from 5 to 9 years old with a three-dimensional (3D) measurement method. METHODS: The cone-beam CT images of 50 patients were divided into five age groups. The 3D models of the GT for mandibular canines were reconstructed and analysed. The characteristics of the GT, including length, diameter, ellipticity, tortuosity, superficial area, volume, and the angle between the canine and GT, were evaluated using a centreline fitting algorithm...
January 11, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38214942/automatic-detection-of-posterior-superior-alveolar-artery-in-dental-cone-beam-ct-images-using-a-deeply-supervised-multi-scale-3d-network
#19
JOURNAL ARTICLE
Jae-An Park, DaEl Kim, Su Yang, Ju-Hee Kang, Jo-Eun Kim, Kyung-Hoe Huh, Sam-Sun Lee, Won-Jin Yi, Min-Suk Heo
OBJECTIVES: This study aimed to develop a robust and accurate deep learning network for detecting the posterior superior alveolar artery (PSAA) in dental cone-beam CT (CBCT) images, focusing on the precise localization of the centre pixel as a critical centreline pixel. METHODS: PSAA locations were manually labelled on dental CBCT data from 150 subjects. The left maxillary sinus images were horizontally flipped. In total, 300 datasets were created. Six different deep learning networks were trained, including 3D U-Net, deeply supervised 3D U-Net (3D U-Net DS), multi-scale deeply supervised 3D U-Net (3D U-Net MSDS), 3D Attention U-Net, 3D V-Net, and 3D Dense U-Net...
January 11, 2024: Dento Maxillo Facial Radiology
https://read.qxmd.com/read/38214941/dental-dedicated-mri-a-novel-approach-for-dentomaxillofacial-diagnostic-imaging-technical-specifications-and-feasibility
#20
JOURNAL ARTICLE
Andreas Greiser, Jennifer Christensen, João M C S Fuglsig, Katrine M Johannsen, Donald R Nixdorf, Kim Burzan, Lars Lauer, Gunnar Krueger, Carmel Hayes, Karen Kettless, Johannes Ulrici, Rubens Spin-Neto
MRI is a noninvasive, ionizing radiation-free imaging modality that has become an indispensable medical diagnostic method. The literature suggests MRI as a potential diagnostic modality in dentomaxillofacial radiology. However, current MRI equipment is designed for medical imaging (eg, brain and body imaging), with general-purpose use in radiology. Hence, it appears expensive for dentists to purchase and maintain, besides being complex to operate. In recent years, MRI has entered some areas of dentistry and has reached a point in which it can be provided following a tailored approach...
January 11, 2024: Dento Maxillo Facial Radiology
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