Feasibility of frozen soft tissues to simulate fresh soft tissue conditions in cone beam computed tomography (cbct) scans
CONCLUSIONS: The freezing of pig mandibles with soft tissues may serve as a method to prolong their usability and working time when CBCT imaging is planned.PMID:38290763 | DOI:10.1093/dmfr/twae004 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 30, 2024 Category: Radiology Authors: Matheus L Oliveira Michael M Bornstein Dorothea Dagassan-Berndt Source Type: research
Panoramic imaging errors in machine learning model development: a systematic review
CONCLUSIONS: This study revealed significant inconsistencies in the management of PAN imaging errors in ML research. However, most studies agree that such errors are detrimental when building ML models. More research is needed to understand the impact of low-quality inputs on model performance. Prospective studies may streamline image quality assessment by leveraging DL models, which excel at pattern recognition tasks.PMID:38273661 | DOI:10.1093/dmfr/twae002 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 26, 2024 Category: Radiology Authors: Eduardo Delamare Xingyue Fu Zimo Huang Jinman Kim Source Type: research
Clinical and radiological features of malformed mesiodens in the nasopalatine canal: an observational study
CONCLUSIONS: Morphological abnormalities in mesiodens within the nasopalatine canal were frequently detected, and these could be effectively diagnosed through three-dimensional imaging analysis.PMID:38268503 | DOI:10.1093/dmfr/twae003 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 25, 2024 Category: Radiology Authors: Yu-Ri Kim Yu-Min Lee Kyung-Hoe Huh Won-Jin Yi Min-Suk Heo Sam-Sun Lee Jo-Eun Kim Source Type: research
The use of CBCT in orthodontics with special focus on upper airway analysis in patients with sleep-disordered breathing
Dentomaxillofac Radiol. 2024 Jan 23:twae001. doi: 10.1093/dmfr/twae001. Online ahead of print.ABSTRACTApplications 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 CB...
Source: Dentomaxillofacial Radiology - January 24, 2024 Category: Radiology Authors: Fabio Savoldi Dorothea Dagassan-Berndt Raphael Patcas Wing-Sze Mak Georgios Kanavakis Carlalberta Verna Min Gu Michael M Bornstein Source Type: research
High-density objects in exomass affect the volume of high-density objects inside the field of view
CONCLUSIONS: In general, the presence of high-density objects in the exomass influences the VA of the object inside the FOV, although this oscillates according to object composition, number and position in the exomass, and CBCT system.PMID:38224272 | DOI:10.1093/dmfr/twad014 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 15, 2024 Category: Radiology Authors: Fernanda Coelho-Silva Deivi Cascante-Sequeira Marcela Tarosso R éa Matheus L Oliveira Deborah Queiroz Freitas Francisco Haiter-Neto Sergio Lins de-Azevedo-Vaz Source Type: research
Comparison of deep learning methods for the radiographic detection of patients with different periodontitis stages
CONCLUSIONS: The new DenseNet121 + GAP + mRMR-based support vector machine model developed in this study achieved higher performance in periodontal bone loss classification compared to other models in the literature by detecting effective features from raw images without the need for manual selection.PMID:38214940 | DOI:10.1093/dmfr/twad003 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: Berceste Guler Ayyildiz Rukiye Karakis Busra Terzioglu Durmus Ozdemir Source Type: research
Dental-dedicated MRI, a novel approach for dentomaxillofacial diagnostic imaging: technical specifications and feasibility
Dentomaxillofac Radiol. 2024 Jan 11;53(1):74-85. doi: 10.1093/dmfr/twad004.ABSTRACTMRI 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 ca...
Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: Andreas Greiser Jennifer Christensen Jo ão 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 Source Type: research
Automatic detection of posterior superior alveolar artery in dental cone-beam CT images using a deeply supervised multi-scale 3D network
CONCLUSIONS: This study presents a robust deep learning network for accurate PSAA detection in dental CBCT images, emphasizing precise centre pixel localization. The method achieves high accuracy in locating small vessels, such as the PSAA, and has the potential to enhance detection accuracy and efficiency, thus impacting oral and maxillofacial surgery planning and decision-making.PMID:38214942 | DOI:10.1093/dmfr/twad002 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: 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 Source Type: research
Morphological variation of gubernacular tracts for permanent mandibular canines in eruption: a three-dimensional analysis
CONCLUSIONS: The 3D measurement method effectively portrayed the morphological attributes of the GT for mandibular canines. The morphological characteristics of the GT during the eruption process exhibited significant variations. The variations in morphological changes may indicate different stages of mandibular canine eruption.PMID:38214943 | DOI:10.1093/dmfr/twad008 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: Pei Liu Renpeng Li Yong Cheng Bo Li Lili Wei Wei Li Xiaolong Guo Hang Li Fang Wang Source Type: research
A nomogram based on ultrasound scoring system for differentiating between immunoglobulin G4-related sialadenitis and primary Sj ögren syndrome
CONCLUSIONS: A nomogram based on the US scoring system showed favourable predictive efficacy in differentiating IgG4-RS from pSS. It has the potential to aid in clinical decision-making.PMID:38214944 | DOI:10.1093/dmfr/twad005 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: Huan-Zhong Su Long-Cheng Hong Mei Huang Feng Zhang Yu-Hui Wu Zuo-Bing Zhang Xiao-Dong Zhang Source Type: research
Machine learning assessment of dental age classification based on cone-beam CT images: a different approach
CONCLUSIONS: According to our results, models were found to be low in performance but were considered as a different approach. We suggest examining the different parameters derived from different measuring techniques in the data obtained from CBCT images in order to develop ML algorithms for age classification in forensic situations.PMID:38214945 | DOI:10.1093/dmfr/twad009 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: Ozlem B Dogan Hatice Boyacioglu Dincer Goksuluk Source Type: research
Skeletal facial asymmetry: reliability of manual and artificial intelligence-driven analysis
CONCLUSIONS: The results indicate that the rate of tracing errors and lack of agreement with manual AR analysis make it impossible to use the tested AI platform to assess the degree of facial asymmetry.PMID:38214946 | DOI:10.1093/dmfr/twad006 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 12, 2024 Category: Radiology Authors: Natalia Kazimierczak Wojciech Kazimierczak Zbigniew Serafin Pawe ł Nowicki Tomasz Jankowski Agnieszka Jankowska Joanna Janiszewska-Olszowska Source Type: research
Determination of masseter and temporal muscle thickness by ultrasound and muscle hardness by shear wave elastography in healthy adults as reference values
CONCLUSION: In this study, reference values for the thickness and hardness of the masseter and temporal muscles are reported. Knowing these values will make it easier to assess pain in the masseter and temporal muscles and determine the diagnosis and prognosis of masticatory muscle pathologies by allowing the morphological and functional assessments of these muscles, and it will identify ranges for reference parameters.PMID:38211311 | DOI:10.1093/dmfr/twad013 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 11, 2024 Category: Radiology Authors: Ay şe Nur Koruyucu Firdevs A şantoğrol Source Type: research
A content-aware chatbot based on GPT 4 provides trustworthy recommendations for Cone-Beam CT guidelines in dental imaging
CONCLUSIONS: A content-aware chatbot using GPT-4 reliably provided recommendations according to current consensus guidelines. The responses were deemed trustworthy and transparent, and therefore facilitate the integration of artificial intelligence into clinical decision-making.PMID:38180877 | DOI:10.1093/dmfr/twad015 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 5, 2024 Category: Radiology Authors: Maximilian Frederik Russe Alexander Rau Michael Andreas Ermer Ren é Rothweiler Sina Wenger Klara Kl öble Ralf K W Schulze Fabian Bamberg Rainer Schmelzeisen Marco Reisert Wiebke Semper-Hogg Source Type: research
Deep learning for tooth identification and numbering on dental radiography: a systematic review and meta-analysis
CONCLUSION: Deep learning models successfully can detect, identify, and number teeth on dental radiographs. Deep learning-powered tooth numbering systems can enhance complex automated processes, such as accurately reporting which teeth have caries, thus aiding clinicians in making informed decisions during clinical practice.PMID:38183164 | DOI:10.1093/dmfr/twad001 (Source: Dentomaxillofacial Radiology)
Source: Dentomaxillofacial Radiology - January 5, 2024 Category: Radiology Authors: Soroush Sadr Rata Rokhshad Yasaman Daghighi Mohsen Golkar Fateme Tolooie Kheybari Fatemeh Gorjinejad Atousa Mataji Kojori Parisa Rahimirad Parnian Shobeiri Mina Mahdian Hossein Mohammad-Rahimi Source Type: research
