Dento maxillo facial radiology最新文献

{"title":"Magnetic resonance sialography and salivary gland SPECT/CT for parotid glands in patients with Sjögren's syndrome.","authors":"Ai Shirai, Yuya Nakatani, Shuji Toya, Ichiro Ogura","doi":"10.1093/dmfr/twaf048","DOIUrl":"https://doi.org/10.1093/dmfr/twaf048","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to investigate MR sialography and SPECT/CT for parotid glands in Sjögren's syndrome patients.</p><p><strong>Methods: </strong>Thirty Sjögren's syndrome patients underwent MR sialography and SPECT/CT. The MR sialographic stagings of Sjögren's syndrome were determined by the criteria (stage 0: normal; stage 1: punctate appearance; stage 2: globular appearance; stage 3: cavitary appearance; stage 4: destructive appearance). The maximum standardized uptake value (SUVmax) of the right and left parotid glands with SPECT/CT was obtained using a workstation and software. MR sialographic stagings and SUVmax of parotid glands were evaluated at pre- and post-stimulation and ratio of pre- to post-stimulation.</p><p><strong>Results: </strong>Regarding pre-stimulation, the SUVmax of stage 0 (31.9 ± 19.3) was significantly higher than that of stage 2 (19.7 ± 7.5, p = 0.046), stage 3 (10.2 ± 7.1, p < 0.001) and stage 4 (6.8 ± 4.3, p < 0.001). Furthermore, the SUVmax at ratio of pre- to post-stimulation of stage 0 (1.87 ± 0.55) was significantly higher than that of stage 3 (1.16 ± 0.30, p = 0.001) and stage 4 (1.16 ± 0.40, p < 0.001).</p><p><strong>Conclusion: </strong>This study suggests that MR sialography and SPECT/CT SUV are effective tool for the management of Sjögren's syndrome patients.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144172919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Usability of shear wave elastography in the quantitative evaluation of masseter muscle stiffness in adolescents with bruxism.","authors":"Emire Aybüke Erdur, Mehmet Öztürk, Nurullah Dağ, Ömer Erdur, Ali Altındağ","doi":"10.1093/dmfr/twaf012","DOIUrl":"https://doi.org/10.1093/dmfr/twaf012","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the correlation between elastography values, age, and duration of bruxism by quantitatively measuring masseter muscle (MM) stiffness with shear wave elastography (SWE) in adolescents with bruxism.</p><p><strong>Methods: </strong>This prospective study evaluated 132 MM's of 66 adolescent 33 controls and 33 with bruxism. The thickness and stiffness of the MM were measured. The SWE values (meters/second; m/s) and kilopascals (kPa) of the patient and control groups were quantitatively compared.</p><p><strong>Results: </strong>The elastic and velocity values of the MM in both closed and open positions were higher in bruxism patients compared to controls (p < 0.001, for each). No significant difference existed in MM thickness (p = 0.904). The ROC analysis for different SWE values found a sensitivity and specificity at baseline of 0.81 kPa, 0.60 m/s and 0.76 kPa, 0.67 m/s with the mouth closed. The values found with the mouth open were 0.76 kPa, 0.64 m/s and 0.76 kPa, 0.61 m/s.</p><p><strong>Conclusions: </strong>Adolescents with bruxism had higher MM hardness values in closed and open positions compared to the control group. SWE can be used as an effective imaging method to measure MM hardness. No relationship existed between SWE values and the patient's age or duration of bruxism.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144157399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cephalometric Tracing: Comparing Artificial Intelligence and Augmented Intelligence on Online Platforms.","authors":"E A Gallardo-Lopez, Lmya Moreira, M H Cruz, Nro Meneses, Scf Schumiski, Dmra Salgado, E M Crosato, C Costa","doi":"10.1093/dmfr/twaf045","DOIUrl":"https://doi.org/10.1093/dmfr/twaf045","url":null,"abstract":"<p><strong>Objective: </strong>This research aimed to evaluate the results of cephalometric analyses obtained by AI from the RadioCef®, EasyCeph®, and WebCeph® platforms and their variability due to modifications made by the user.</p><p><strong>Methods: </strong>In this cross-sectional observational study, seventy cephalometric radiographs were analyzed using the AI of the platforms. Subsequently, four examiners with different areas of expertise and levels of experience examined each landmark, correcting its location if necessary.</p><p><strong>Results: </strong>The Pog, L1 tip, B, and Go landmarks on the RadioCef®; Pn, Me, Pog, U1 tip, and UL on the EasyCeph®; and Pog, Me, and B on the WebCeph® showed a modification equal to or greater than 90%. More experienced examiners modified a greater number of landmarks. The repeated measures ANOVA test reported statistically significant differences concerning the SNA, SNB, ANB, SN-GoGn, FMIA, FMA, and IMPA angles (p < 0.05) for fully automated and semi-automated analyses. ICC values reported intra-observer agreement levels from poor (ICC = 0.27) to perfect (ICC = 1), and inter-observer agreement showed good to excellent reliability (ICC = 0.88 to 0.99).</p><p><strong>Conclusions: </strong>Fully automated cephalometric analysis presents variations according to modifications made by the examiners. This represents a challenge to the knowledge of the orthodontist, influencing the diagnosis and treatment planning. Therefore, the use of augmented intelligence in cephalometric analysis is still suggested based on the results obtained for each platform.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"3D-printed Model for Preclinical Training in Oral Radiology: Anatomic and Pathological Conditions.","authors":"Ana Carvalho de Christo, Wislem Miranda de Mello, Vinícius Dutra, Lucas Machado Maracci, Gleica Dal' Ongaro Savegnago, Gabriela Salatino Liedke","doi":"10.1093/dmfr/twaf046","DOIUrl":"https://doi.org/10.1093/dmfr/twaf046","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to evaluate the impact of a 3D-printed model with simulated oral changes on the teaching of radiographic evaluation.</p><p><strong>Methodology: </strong>A model of an adult patient with several simulated alterations was designed, including impacted teeth, dentigerous cyst, mesiodens, coronal fractures, periodontal resorptions, periapical lesions, and exostoses. The radiographic images obtained were evaluated by postgraduate students using a questionnaire. The data obtained were analyzed with descriptive and inferential statistics.</p><p><strong>Results: </strong>The 3D model produced satisfactory images for the simulation of the proposed alterations. The general perception of the participants was positive, but there were significant differences between master's and doctoral students regarding the clinical-radiographic relationship of the simulated changes in general (p = 0.037) and the radiographic image of impacted canine (p = 0.032).</p><p><strong>Conclusions: </strong>The 3D model was positively evaluated in most of the simulated alterations, demonstrating its potential as a pedagogical tool. These results reinforce the feasibility of 3D printing for producing models for radiographic assessment, offering image quality and versatility for the development of complex training.</p><p><strong>Advances in knowledge: </strong>This is the first study to develop and evaluate a 3D-printed model with complex anatomical and pathological alterations for preclinical training in Oral and Maxillofacial Radiology.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144076819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dental Imaging in Singapore: A Survey of 2D Radiographic Techniques and CBCT Practices.","authors":"Almond Yq Ng, Clement Wm Lai, Clarissa Xh Ho, Li Zhen Lim","doi":"10.1093/dmfr/twaf033","DOIUrl":"10.1093/dmfr/twaf033","url":null,"abstract":"<p><strong>Objectives: </strong>This survey was conducted to identify dental radiography practices and knowledge gaps among dentists in Singapore with respect to both 2D and 3D imaging.</p><p><strong>Methods: </strong>This was a cross-sectional survey conducted via an electronic platform from May to June 2023. All Singapore Dental Council-registered dentists were eligible to participate. We gathered data on demographics, intraoral (IO) radiography usage, cone beam computed tomography (CBCT) training, current CBCT usage and interpretation.</p><p><strong>Results: </strong>305 out of 2605 registered dentists completed the online survey (11.7% response rate). Radiograph positioning holders, digital imaging and round collimation were used by most respondents for IO radiography (85.6%, 88.9% and 89.2% respectively). 142 participants (46.6%) underwent CBCT training, and most lacked training in image acquisition. Dentists expressed interest in CBCT interpretation and the use of viewing software. 219 dentists (71.8%) are CBCT users. Most (74.9%) took 0 to 5 CBCT scans monthly. Implant planning was the most common indication (24.8%). 85.9% of CBCT users report some or all their own scans while 70.7% would engage a reporting service if available.</p><p><strong>Conclusions: </strong>This survey provides insights in dental imaging that require increased educational efforts in Singapore. For IO radiography, there should be greater emphasis on rectangular collimation. With CBCT, there is potential for training in image acquisition, interpretation and the use of viewing software.</p><p><strong>Advances in knowledge: </strong>Identifying knowledge and training gaps in dental imaging is critical to ensure the safe use of ionizing radiation on patients.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143986347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-based metal artefact correction algorithm for radiotherapy patients with dental hardware in head and neck CT: Towards precise imaging.","authors":"Xiaoli Yu, Sihua Zhong, Guozhi Zhang, Jinlong Du, Guangyu Wang, Jiang Hu","doi":"10.1093/dmfr/twaf038","DOIUrl":"10.1093/dmfr/twaf038","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the clinical efficiency of an AI-based metal artefact correction algorithm (AI-MAC), for reducing dental metal artefacts in head and neck CT, compared to conventional interpolation-based MAC.</p><p><strong>Methods: </strong>We retrospectively collected 41 patients with non-removal dental hardware who underwent non-contrast head and neck CT prior to radiotherapy. All images were reconstructed with standard reconstruction algorithm (SRA), and were additionally processed with both conventional MAC and AI-MAC. The image quality of SRA, MAC and AI-MAC were compared by qualitative scoring on a 5-point scale, with scores ≥ 3 considered interpretable. This was followed by a quantitative evaluation, including signal-to-noise ratio (SNR) and artefact index (Idxartefact). Organ contouring accuracy was quantified via calculating the dice similarity coefficient (DSC) and hausdorff distance (HD) for oral cavity and teeth, using the clinically accepted contouring as reference. Moreover, the treatment planning dose distribution for oral cavity was assessed.</p><p><strong>Results: </strong>AI-MAC yielded superior qualitative image quality as well as quantitative metrics, including SNR and Idxartefact, to SRA and MAC. The image interpretability significantly improved from 41.46% for SRA and 56.10% for MAC to 92.68% for AI-MAC (p < 0.05). Compared to SRA and MAC, the best DSC and HD for both oral cavity and teeth were obtained on AI-MAC (all p < 0.05). No significant differences for dose distribution were found among the three image sets.</p><p><strong>Conclusion: </strong>AI-MAC outperforms conventional MAC in metal artefact reduction, achieving superior image quality with high image interpretability for patients with dental hardware undergoing head and neck CT. Furthermore, the use of AI-MAC improves the accuracy of organ contouring while providing consistent dose calculation against metal artefacts in radiotherapy.</p><p><strong>Advances in knowledge: </strong>AI-MAC is a novel deep learning-based technique for reducing metal artefacts on CT. This in-vivo study first demonstrated its capability of reducing metal artefacts while preserving organ visualization, as compared with conventional MAC.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143969465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of Jaw Orthogonal Plane and Dental Arch Curve from CBCT Images.","authors":"Benxiang Jiang, Songze Zhang, Hongjian Shi","doi":"10.1093/dmfr/twaf047","DOIUrl":"https://doi.org/10.1093/dmfr/twaf047","url":null,"abstract":"<p><strong>Objectives: </strong>This research focuses on detecting the orthogonal plane to the jaw and the dental arch curve on this plane so that high quality panoramic images can be reconstructed from cone beam CT (CBCT) images.</p><p><strong>Methods: </strong>The movement trajectory of panoramic reconstruction, known as the dental arch curve, determines the quality of the reconstructed panoramic image. In traditional methods, the dental arch curve is detected on one transversal slice using the interpolation methods. However, these methods may fail to capture the actual dental arch since the jaw is not usually perpendicular to the transversal slice and the interpolation methods tend to ignore local anatomical information of the jaw and teeth. To improve detection of the actual dental arch, we define the jaw orthogonal plane by establishing a relationship between the plane variables and the jaw's left-to-right and the anterior-and-posterior tilts. On this plane, the dental arch curve is first initialized and then moved to match the actual dental arch.</p><p><strong>Results: </strong>Experimental results demonstrate that our method accurately detects dental arch curves. Panoramic images reconstructed using these curves effectively display the true anatomical features of the jaw and teeth with less distortion compared to those reconstructed by traditional methods.</p><p><strong>Conclusions: </strong>Our detected dental arch curve on the jaw orthogonal plane is more accurately located in the middle of the jaw and teeth. Anatomic information of the jaw and teeth around the detected dental curve is rightly employed to reconstruct high quality panoramic images.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143997034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of noise characteristics in intraoral X-Ray sensors using the Noise-Power spectrum and nonparametric metrics from diagnostic imaging.","authors":"P Roebers, R Schulze","doi":"10.1093/dmfr/twaf040","DOIUrl":"https://doi.org/10.1093/dmfr/twaf040","url":null,"abstract":"<p><p>Digital X-ray sensors have significantly changed dental radiography, enabling faster image acquisition and reducing radiation doses for patients. Despite the advancements in technology, noise in X-ray imaging remains a challenge. In this study, noise was examined using the Noise Power Spectrum (NPS) and a nonparametric method. Blank images were taken under different exposure times and voltage settings. The analyses show that noise decreases with longer exposure times. Among the examined sensors, two showed distinct NPS peaks, and one exhibited no relationship between exposure time and noise levels. These results are discussed on terms of specific sensor structures, artifacts and/or unaccessible post-processing algorithms.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143996862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deep Learning for Detecting Periapical Bone Rarefaction in Panoramic Radiographs: A Systematic Review and Critical Assessment.","authors":"José Evando da Silva-Filho, Zildenilson da Silva Sousa, Ana Paula Caracas de-Araújo, Lívia Dos Santos Fornagero, Milena Pinheiro Machado, André Wescley Oliveira de Aguiar, Caio Marques Silva, Danielle Frota de Albuquerque, Eduardo Diogo Gurgel-Filho","doi":"10.1093/dmfr/twaf044","DOIUrl":"https://doi.org/10.1093/dmfr/twaf044","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate deep learning (DL)-based models for detecting periapical bone rarefaction (PBRs) in panoramic radiographs (PRs), analyzing their feasibility and performance in dental practice.</p><p><strong>Methods: </strong>A search was conducted across seven databases and partial grey literature up to November 15, 2024, using Medical Subject Headings and entry terms related to DL, PBRs, and PRs. Studies assessing DL-based models for detecting and classifying PBRs in conventional PRs were included, while those using non-PR imaging or focusing solely on non-PBR lesions were excluded. Two independent reviewers performed screening, data extraction, and quality assessment using the Quality Assessment of Diagnostic Accuracy Studies-2 tool, with conflicts resolved by a third reviewer.</p><p><strong>Results: </strong>Twelve studies met the inclusion criteria, mostly from Asia (58.3%). The risk of bias was moderate in 10 studies (83.3%) and high in 2 (16.7%). DL models showed moderate to high performance in PBR detection (sensitivity: 26-100%; specificity: 51-100%), with U-NET and YOLO being the most used algorithms. Only one study (8.3%) distinguished Periapical Granuloma from Periapical Cysts, revealing a classification gap. Key challenges included limited generalization due to small datasets, anatomical superimpositions in PRs, and variability in reported metrics, compromising models comparison.</p><p><strong>Conclusion: </strong>This review underscores that DL-based has the potential to become a valuable tool in dental image diagnostics, but it cannot yet be considered a definitive practice. Multicenter collaboration is needed to diversify data and democratize those tools. Standardized performance reporting is critical for fair comparability between different models.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143983621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Artificial Intelligence (AI) will change the research environment in dental medicine dramatically-will algorithms replace literature reviews in the near future?","authors":"Michael M Bornstein, Yannick M Staedler, Philippe C Cattin","doi":"10.1093/dmfr/twaf041","DOIUrl":"https://doi.org/10.1093/dmfr/twaf041","url":null,"abstract":"","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143974921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}