Karthik Sennimalai, Madhanraj Selvaraj, Om Prakash Kharbanda, Devasenathipathy Kandasamy, Kaja Mohaideen
OBJECTIVE: This review aims to explore the current status of magnetic resonance imaging (MRI) as a cephalometric tool, summarize the equipment design and methods, and propose recommendations for future research. METHODS: A systematic search was conducted in electronic databases, including PubMed, Ovid MEDLINE, Scopus, Embase, Web of Science, EBSCOhost, LILACS, and Cochrane Library, using broad search terms. The articles published in any language till June 2022 were considered...
February 21, 2023: Dento Maxillo Facial Radiology
Meng Qi, Zhipeng Xia, Fang Zhang, Yan Sha, Jiliang Ren
OBJECTIVES: To develop and validate a nomogram based on whole-tumour histograms of apparent diffusion coefficient (ADC) maps for predicting malignant transformation (MT) in sinonasal inverted papilloma (IP). METHODS: This retrospective study included 209 sinonasal IPs with and without MT, which were assigned into a primary cohort ( n = 140) and a validation cohort ( n = 69). Eight ADC histogram features were extracted from the whole-tumour region of interest. Morphological MRI features and ADC histogram parameters were compared between the two groups (with and without MT)...
February 17, 2023: Dento Maxillo Facial Radiology
Kug Jin Jeon, Younjung Park, Hui Jeong, Chena Lee, Yoon Joo Choi, Sang-Sun Han
OBJECTIVES: This study aimed to analyze the quantitative fat fraction (FF) of the parotid gland in menopausal females with xerostomia using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method. METHODS: A total 138 parotid glands of 69 menopausal females were enrolled in our study and participants were divided into normal group and xerostomia group. The xerostomia group was divided into those with or without Sjögren's syndrome...
January 25, 2023: Dento Maxillo Facial Radiology
Gerlig Widmann, Hannes Schönthaler, Alexander Tartarotti, Gerald Degenhart, Romed Hörmann, Gudrun Feuchtner, Reinhilde Jacobs, Ruben Pauwels
OBJECTIVES: As-low-as-diagnostically-acceptable (ALADA) doses are substantially lower than current diagnostic reference levels. To improve dose management, a reference quality approach was tested in which phantom quality metrics of a clinical ALADA dose reference protocol were used to benchmark potential ALADA dose protocols for various scanner models. METHODS: Spatial resolution, contrast resolution, contrast-to-noise ratio (CNR) and subjective noise and sharpness were evaluated for a clinical ALADA dose reference protocol at 80 kV and 40 mA (CTDIvol 2...
January 23, 2023: Dento Maxillo Facial Radiology
(no author information available yet)
No abstract text is available yet for this article.
January 19, 2023: Dento Maxillo Facial Radiology
Hirotaka Muraoka, Takashi Kaneda, Naohisa Hirahara, Kotaro Ito, Shunya Okada, Takumi Kondo
OBJECTIVES: The aim of this study was to assess whether magnetic resonance imaging (MRI) texture features of the lateral pterygoid muscle can distinguish between rheumatoid arthritis (RA) and osteoarthritis (OA) of the temporomandibular joint (TMJ). METHODS: The authors extracted 279 texture features from 36 patients with RA and OA from the region of interest set for the lateral pterygoid muscle on short tau inversion recovery images using MaZda Ver.3.3. A total of 10 texture features were selected using Fisher's coefficients, as well as probability of error and average correlation coefficients...
January 3, 2023: Dento Maxillo Facial Radiology
Pan Yang, Xiaolong Guo, Chuangchuang Mu, Senrong Qi, Gang Li
OBJECTIVES: This study aims to evaluate the performance of ResNet models in the detection of in vitro and in vivo vertical root fractures (VRF) in Cone-beam Computed Tomography (CBCT) images. METHODS: A CBCT image dataset consisting of 28 teeth (14 intact and 14 teeth with VRF, 1641 slices) from 14 patients, and another dataset containing 60 teeth (30 intact and 30 teeth with VRF, 3665 slices) from an in vitro model were used for the establishment of VRFconvolutional neural network (CNN) models...
February 2023: Dento Maxillo Facial Radiology
Danieli Moura Brasil, Karen Merken, Joke Binst, Hilde Bosmans, Francisco Haiter-Neto, Reinhilde Jacobs
OBJECTIVE: To present patient dose levels for different CBCT scanners, acquired by a dose monitoring tool in a University Hospital, as a function of field of view (FOV), operation mode, and patient age. METHODS: An integrated dose monitoring tool was used to collect radiation exposure data [type of CBCT unit, dose-area product (DAP), FOV size, and operation mode] and patient demographic information (age, referral department) performed on a 3D Accuitomo 170 and a Newtom VGI EVO unit...
February 2023: Dento Maxillo Facial Radiology
Majedh Abdo Ali Al-Somairi, Yi Liu, Abeer A Almashraq, Bushra S Almaqrami, Lina H Alshoaibi, Enas S Alyafrusee, Barakat Al-Tayar, Xiaoli An, Maged S Alhammadi
OBJECTIVES: This study aimed to determine the three-dimensional (3D) correlation between maxillomandibular complex parameters and pharyngeal airway dimensions in different sagittal and vertical malocclusions. METHODS: This retrospective cross-sectional study included the CBCT scans of 368 patients with a mean age of 23.81 ± 3.01 years. The patients were classified into three groups (skeletal Class I, II, and III). Each class group was divided into three subgroups based on vertical growth patterns (hypo-, normo-, and hyperdivergent)...
February 2023: Dento Maxillo Facial Radiology
Cansu Buyuk, Burcin Arican Alpay, Fusun Er
OBJECTIVES: A separated endodontic instrument is one of the challenging complications of root canal treatment. The purpose of this study was to compare two deep learning methods that are convolutional neural network (CNN) and long short-term memory (LSTM) to detect the separated endodontic instruments on dental radiographs. METHODS: Panoramic radiographs from the hospital archive were retrospectively evaluated by two dentists. A total of 915 teeth, of which 417 are labeled as "separated instrument" and 498 are labeled as "healthy root canal treatment" were included...
February 2023: Dento Maxillo Facial Radiology
Natnicha Wamasing, Supasith Yomtako, Hiroshi Watanabe, Junichiro Sakamoto, Kou Kayamori, Tohru Kurabayashi
OBJECTIVES: Limited studies have differentiated radicular cysts and granulomas with MRI. Therefore, we investigated the MRI characteristics of the two lesions and clarified features for distinguishing between them. METHODS: We collected data of 27 radicular cysts and 9 granulomas definitively diagnosed by histopathology and reviewed the fat-saturated T 2 weighted, T 1 weighted, and contrast-enhanced fat-saturated T 1 weighted images. We measured the maximum diameter and apparent diffusion coefficient values of the lesions...
February 2023: Dento Maxillo Facial Radiology
Yuwei Gu, Dingzhong Zhang, Baoxin Tao, Feng Wang, Xiaojun Chen, Yiqun Wu
OBJECTIVES: The purpose of this study is to establish a novel, reproducible technique to obtain the BIC area (BICA) between zygomatic implants and zygomatic bone based on post-operative cone-beam computed tomography (CBCT) images. Three-dimensional (3D) image registration and segmentation were used to eliminate the effect of metal-induced artifacts of zygomatic implants. METHODS: An ex-vivo study was included to verify the feasibility of the new method. Then, the radiographic bone-to-implant contact (rBIC) of 143 implants was measured in a total of 50 patients...
January 2023: Dento Maxillo Facial Radiology
Yinghui Wang, Yufan Chen, Yao Jing, Feng Qiao, Bin Yin, Juan Liu, Jie Zhou, Min Chen, Ligeng Wu
OBJECTIVE: The aim of this study was to investigate the anatomical factors influencing the incidence of accessory canals (ACs) in the apical third of the mandibular second molar in Chinese population. METHODS: Micro-CT was performed on 86 root canals. The five possible factors influencing the incidence of ACs in the apical third were named X1 to X5. These factors were the canal length of the apical third, fused roots, location of apical foramen, curvature of the root canals, and complexity of the canals...
January 2023: Dento Maxillo Facial Radiology
Michael M Bornstein
No abstract text is available yet for this article.
January 1, 2023: Dento Maxillo Facial Radiology
Yoon Joo Choi, Kug Jin Jeon, Ari Lee, Sang-Sun Han, Chena Lee
OBJECTIVE: This study aimed to identify robust radiomic features in multiultrasonography of the submandibular gland and normalize the interdevice discrepancies by applying a machine-learning-based harmonization method. METHODS: Ultrasonographic images of normal submandibular gland of young healthy adults, aged between 20 and 40 years, were selected from two different devices. In a total of 30 images, the region of interest was determined along the border of gland parenchyma, and 103 radiomic features were extracted using A-VIEW...
January 2023: Dento Maxillo Facial Radiology
Kuo Feng Hung, Andy Wai Kan Yeung, Michael M Bornstein, Falk Schwendicke
Personalized medicine refers to the tailoring of diagnostics and therapeutics to individuals based on one's biological, social, and behavioral characteristics. While personalized dental medicine is still far from being a reality, advanced artificial intelligence (AI) technologies with improved data analytic approaches are expected to integrate diverse data from the individual, setting, and system levels, which may facilitate a deeper understanding of the interaction of these multilevel data and therefore bring us closer to more personalized, predictive, preventive, and participatory dentistry, also known as P4 dentistry...
December 12, 2022: Dento Maxillo Facial Radiology
Shwetha Hegde, Dr Jinlong Gao, Rajesh Vasa, Stephen Cox
OBJECTIVES: To identify the factors influencing errors in the interpretation of dental radiographs. METHODS: A protocol was registered on Prospero. All studies published until May 2022 were included in this review. The search of the electronic databases spans Ovid Medline, PubMed, EMBASE, Web of Science and Scopus. The quality of the studies was assessed using the MMAT tool. Due to the heterogeneity of the included studies, a meta-analysis was not conducted. RESULTS: The search yielded 858 articles, of which eight papers met the inclusion and exclusion criteria and were included in the systematic review...
December 6, 2022: Dento Maxillo Facial Radiology
Matheus Barros-Costa, Matheus Diniz Ferreira, Felipe Ferreira Costa, Deborah Queiroz Freitas
OBJECTIVES: To determine the prevalence of middle mesial root canal (MMC) in a Brazilian subpopulation, verify whether its presence is related to anatomical characteristics of the tooth, and propose a classification using cone-beam computed tomography (CBCT). METHODS: CBCT scans of 284 patients were evaluated by 2 radiologists to determine the presence of the MMC in mandibular first and second molars. Subsequently, the mesiodistal and buccolingual measurements of the mesial roots were obtained; the measurements between the root canals, and from MMC to the mesiobuccal canal and to the mesiolingual canal were also obtained...
December 1, 2022: Dento Maxillo Facial Radiology
Glaucia Nize Martins Santos, Helbert Eustáquio Cardoso da Silva, Filipe Eduard Leite Ossege, Paulo Tadeu de Souza Figueiredo, Nilce de Santos Melo, Cristine Miron Stefani, André Ferreira Leite
OBJECTIVE: To define which are and how the radiomics features of jawbone pathologies are extracted for diagnosis, predicting prognosis and therapeutic response. METHODS: A comprehensive literature search was conducted using eight databases and gray literature. Two independent observers rated these articles according to exclusion and inclusion criteria. 23 papers were included to assess the radiomics features related to jawbone pathologies. Included studies were evaluated by using JBI Critical Appraisal Checklist for Analytical Cross-Sectional Studies...
November 23, 2022: Dento Maxillo Facial Radiology
Chen Fangfang, Ge Yaqiong, Li Shuang, Liu Mengqiu, Wu Jiaoyan, Liu Ying
OBJECTIVE: To evaluate the diagnostic performance of computed tomography (CT) radiomics analysis for differentiating pleomorphic adenoma (PA), Warthin tumor (WT), and basal cell adenoma (BCA). METHODS: A total of 189 patients with PA ( n = 112), WT ( n = 53) and BCA ( n = 24) were divided into a training set ( n = 133) and a test set ( n = 56). The radiomics features were extracted from plain CT and contrast-enhanced CT images. After dimensionality reduction, plain CT, multi phase enhanced CT, integrated radiomics signature models and radiomics score (Rad-score) were established and calculated...
November 11, 2022: Dento Maxillo Facial Radiology
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