Dento maxillo facial radiology最新文献

{"title":"Ultrasonographic assessment of pubertal maturation: a reliable and radiation-free model for bone age estimation.","authors":"Gulsun Akay, Cagrı Erdogdu, Nuray Bagcı, Ozge Karadag Atas, Kahraman Gungor","doi":"10.1093/dmfr/twag058","DOIUrl":"https://doi.org/10.1093/dmfr/twag058","url":null,"abstract":"<p><strong>Objectives: </strong>Developing methods that minimize radiation exposure in skeletal age assessment for orthodontic planning and growth monitoring in pediatric populations is a priority. This study aimed to evaluate the diagnostic efficacy of ultrasonography as a non-ionizing alternative in bone age estimation and to analyze the correlation between ultrasonographic skeletal maturation and chronological age.</p><p><strong>Methods: </strong>In this cross-sectional study, the left hand-wrist region of 131 individuals aged 8-18 years was evaluated simultaneously using digital radiography and ultrasonography. Skeletal maturation was analyzed based on the epiphysis-diaphysis relationship of the phalanges and radius, the presence of sesamoid bone, and bone age estimation based on the Greulich-Pyle atlas. In addition, the ossification ratios (o/O) of the distal radius and ulna were calculated. Friedman, Wilcoxon signed-rank, McNemar tests, and regression analyses were used to compare the data.</p><p><strong>Results: </strong>A strong correlation was found between chronological age, ultrasonographic age, and radiographic age. Statistically significant differences were found between ultrasonography and radiography measurements in all middle phalanges (MP2-MP5), the distal phalanx of the fourth finger (DP4), the distal and proximal phalanges of the first finger (DP1, PP1), proximal phalanges of the second finger (PP2) and the radius (p < 0.05). A high correlation (r = 0.862) was observed between the two methods used to detect sesamoid bones. A strong positive correlation (rs ≈ 0.70) was observed between chronological age and ultrasonographic ossification rates; the explanatory power of radius and ulna measurements on age was 54%.</p><p><strong>Conclusions: </strong>Ultrasonography shows a strong correlation with both chronological and radiographic age and demonstrates high efficacy in detecting sesamoid bones and monitoring ossification rates. Statistically significant differences have been found between radiographic examination and ultrasonography in evaluating the epiphysis-diaphysis relationship of the phalanges.</p><p><strong>Advances in knowledge: </strong>This research demonstrates that ultrasonography is a reliable, non-ionizing method for skeletal age assessment and shows significant diagnostic consistency across anatomical regions, similar to that of conventional radiography. Furthermore, it supports the clinical utility of ultrasonography as a reliable, radiation-free method and contributes to ongoing efforts to establish standardized, non-invasive assessment methods.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148677441","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":"Accuracy of Artificial Intelligence based chatbots in reporting jaw lesions from multimodal radiographic images: A cross-sectional study.","authors":"Noha M Elkersh, Aly Mohamed Atteya, Ahmed Abdelghany Shararah","doi":"10.1093/dmfr/twag057","DOIUrl":"https://doi.org/10.1093/dmfr/twag057","url":null,"abstract":"<p><strong>Objectives: </strong>The current study aimed to quantify the diagnostic accuracy of commonly utilized chatbots including Gemini, Copilot, Claude, and specialized architectures like Manus in the detection and differential diagnosis of various jaw lesions, while concurrently evaluating the clinical safety and fidelity of the information they provide.</p><p><strong>Materials and methods: </strong>Cone beam computed tomography (CBCT) dataset from 97 patients presented with jaw lesions were collected and anonymized. Panoramic 2D views were reconstructed from Digital Imaging and Communication in Medicine (DICOM) of all cases using Bluesky Plan software and provided to 4 chatbots (Gemini 2.5 Pro, Copilot, Claude and Manus). Moreover, the DICOM data was provided to Manus followed by prompting. The reports generated were evaluated for accuracy, relevance and feasibility.</p><p><strong>Results: </strong>Statistically significant differences were detected between the chatbots in all measured parameters. In all evaluated parameters Manus CBCT showed the most accurate results (95% of lesions were detected and correctly diagnosed,). Gemini 2.5 pro ranked second where 80% of lesions were detected and 56% were correctly diagnosed. Manus Pan showed less accurate results. The least accurate results were detected in Copilot and Claude.</p><p><strong>Conclusion: </strong>Significant discrepancies exist among artificial intelligence (AI) chatbots regarding their diagnostic accuracy in reporting jaw lesions. Notably, the integration of raw 3-dimensional CBCT data substantially optimizes chatbot performance in lesion detection and diagnosis, as demonstrated by Manus architecture.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148668794","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":"Cross-Vendor Robustness of a Hybrid Deep Learning Framework for Four-Stage Periodontitis Classification on Panoramic Radiographs.","authors":"Sang-Jeong Lee, Su Yang, Ji Yong Han, Kyung-Hoe Huh, Min-Suk Heo, Sam-Sun Lee, Jo-Eun Kim, Won-Jin Yi","doi":"10.1093/dmfr/twag055","DOIUrl":"https://doi.org/10.1093/dmfr/twag055","url":null,"abstract":"<p><strong>Objectives: </strong>Although deep learning for periodontitis diagnosis on panoramic radiographs has advanced rapidly, most studies use single-vendor data and cross-vendor generalization is rarely evaluated. Therefore, we evaluate the cross-vendor robustness of a hybrid CNN-CAD framework for automated four-stage periodontitis classification.</p><p><strong>Methods: </strong>Five hundred panoramic radiographs were retrospectively collected from three vendors (Instrumentarium, n=400; Vatech, n=50; PointNix, n=50). The framework extends a previously published hybrid pipeline by adding a YOLO-based CNN for missing-teeth quantification, enabling four-stage classification according to the 2017 World Workshop criteria. Three dataset configurations were evaluated: pooled multi-vendor training and two leave-one-device-out (LODO) splits. We compared segmentation backbones (U-Net, Dense U-Net, SegNet, Mask R-CNN) and YOLO detector variants. Agreement with three oral and maxillofacial radiologists (3, 5 and 10 years of experience) was assessed using mean absolute difference (MAD), Pearson and intraclass correlation, Bland-Altman, and Passing-Bablok analyses.</p><p><strong>Results: </strong>Under pooled multi-vendor training, Mask R-CNN achieved Dice coefficients of 0.96, 0.92 and 0.94 for periodontal bone level, cemento-enamel junction level and teeth/implants respectively; CNNv4-tiny reached a mean AP of 0.86 for missing teeth. The MAD between automated and expert staging was 0.31, overall image-level ICC was 0.93 (95% CI 0.86-0.97; p<0.01), and Bland-Altman bias against the most experienced radiologist was 0.007. Under LODO, Dice coefficient dropped to 0.75-0.86 (all p<0.001 versus pooled), quantifying substantial vendor-induced domain shift.</p><p><strong>Conclusions: </strong>The hybrid framework achieves expert-level agreement under pooled multi-vendor training but degrades in held-out vendors, providing a quantitative reference for vendor-induced domain shift in panoramic radiograph AI and motivating vendor-aware training or domain adaptation in future clinical deployments.</p><p><strong>Advances in knowledge: </strong>This work provides, to our knowledge, the first cross-vendor benchmark for deep-learning-based periodontitis staging on panoramic radiographs and quantifies vendor-induced domain shift directly addressing the external-validation gap recently identified in this journal.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148648404","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":"Impact of Exposure Settings Variations on Contrast and Spatial Resolution in CMOS and Direct-Conversion CMOS Intraoral Sensors.","authors":"Daniela Pita de Melo, Luiz Eduardo Marinho-Vieira, Caroline Hoang, Crystal Ly, Ryan Kuhn, Jacqueline Tkachuk, Saulo L Sousa Melo","doi":"10.1093/dmfr/twag056","DOIUrl":"https://doi.org/10.1093/dmfr/twag056","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the impact of exposure setting variations on contrast and spatial resolution (SR) in CMOS and direct-conversion CMOS (DC-CMOS) intraoral sensors.</p><p><strong>Methods: </strong>Ten images of a DDQA phantom were acquired for each assessed condition using three sensors (CMOS-I, CMOS-S, DC-CMOS) and two X-ray units (HH: handheld; WM: wall-mounted). HH was set at 60kVp/2.5mA, and WM was set at 60kVp/7mA and 70kVp/7mA. Each combined sensor-x-ray unit condition was exposed at 0.02, 0.04, 0.05, 0.08, 0.10, 0.16, 0.20, 0.25, 0.32, 0.40, 0.50, 0.63, 0.80, and 1.00s. One observer selected 2 × 2 mm ROIs from the third and fifth steps of the DDQA step-wedge and measured their mean gray values using Fiji macro. Contrast was calculated by subtracting the mean gray value of the third step from the fifth step for each group. SR was determined by identifying the line pair with the highest value, in which five peaks and four valleys were distinguishable. Descriptive statistics were calculated for SR and three-way ANOVA and Tukey's post-hoc tests for contrast (α = 0.05).</p><p><strong>Results: </strong>Across all exposure parameters, CMOS-I exhibited the highest mean contrast, followed by DC-CMOS and CMOS-S (p < 0.001). HH yielded the highest mean contrast, which was significantly greater than WM (p < 0.001). CMOS-S exhibited the highest SR, and DC-CMOS the lowest, although SR remained constant for DC-CMOS across all exposure times.</p><p><strong>Conclusion: </strong>Sensor type, x-ray unit, and exposure time influenced image contrast and spatial resolution, while variations in kVp had minimal impact on these image quality parameters.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148648364","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":"External Validation of Two AI Systems for Dentinal Caries Detection: A Retrospective Pilot Clinical Outcomes Study.","authors":"Owais A Farooqi, Gilbert A Fru, Yan Ming Gong, Landon E Oswald, Donald J DeNucci","doi":"10.1093/dmfr/twag054","DOIUrl":"https://doi.org/10.1093/dmfr/twag054","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the sensitivity of two dental artificial intelligence (AI) systems for detecting dentinal caries using longitudinal, outcomes-anchored validation within an integrated healthcare system.</p><p><strong>Methods: </strong>In this pilot external validation study, two commercially available AI systems were tested on full-mouth intraoral radiographic series, including bitewings, from 90 patients in a federal healthcare system. Ground truth was established using baseline clinical examinations and follow-up documentation 6-12 months later. Vendor-specific and pooled sensitivity for dentinal caries detection were calculated.</p><p><strong>Results: </strong>Vendor A achieved a sensitivity of 48.5% (95% CI: 37.0-60.2), Vendor B achieved 57.5% (95% CI: 46.1-68.2), and pooled sensitivity was 53.0% (95% CI: 44.8-61.1).</p><p><strong>Conclusions: </strong>Outcomes-anchored, longitudinal validation of dental AI systems for dentinal caries detection was feasible within a large integrated healthcare system. This approach provides clinically relevant sensitivity estimates grounded in real treatment outcomes. These findings are most directly applicable to large integrated healthcare systems with standardized longitudinal data capture and may not fully reflect the variability of private-practice dental settings.</p><p><strong>Advances in knowledge: </strong>This study establishes a reproducible framework for evaluating AI diagnostic performance in real-world healthcare settings using longitudinal clinical outcomes rather than radiographic labels alone, demonstrating that independent validation with clinical follow-up is feasible within a large healthcare system.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148591013","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":"Ultrasound-Based Estimation of Periodontal Probing Depth Using Category-Specific Supracrestal Tissue Attachment Calibration.","authors":"Mohammadreza Amjadian, Gulcan Gok, Nicholas Choi, Suhel Khan, Mirali Pandya, Jesse V Jokerst, Casey Chen","doi":"10.1093/dmfr/twag050","DOIUrl":"https://doi.org/10.1093/dmfr/twag050","url":null,"abstract":"<p><strong>Objective: </strong>To determine category-specific supracrestal tissue attachment (STA) dimensions and apply these values to calibrate high-frequency ultrasound-derived measurements to match clinical probing depth (PD), and to examine the reliability of ultrasound landmark annotation in healthy and diseased cohorts.</p><p><strong>Methods: </strong>Intraoral high-frequency ultrasound (40 MHz) imaging was performed to acquire images from 34 subjects (20 healthy and 14 with stage II-IV periodontitis). Four trained raters annotated 955 teeth for the gingival margin (GM), cemento-enamel junction (CEJ), and alveolar bone crest (ABC). The image-based gingival height (iGH) was defined as the distance from the gingival margin to the average bone crest. Ultrasound assessment is in terms of distances to the bone crest, whereas probing depth is measured to the supracrestal tissue attachment. Ultrasound measurements were calibrated using category-specific STA values to estimate probing depth. Method agreement between iPD and clinical PD was evaluated via Bland-Altman analysis using a ±1 mm clinical acceptance limit. This prospective calibration-validation study (34 subjects; 955 annotated tooth-surface observations) compared high-frequency ultrasound-derived measurements with conventional clinical periodontal probing depth measurements. The dataset was partitioned into a calibration set (721 observations, 27 subjects) and an independent validation set (234 observations, 7 subjects).</p><p><strong>Results: </strong>Inter- and intra-rater reliability was high, with correlation coefficients ranging from 0.894 to 0.998. Calibrated STA values ranged from 1.349 mm for molar-buccal to 2.970 mm for anterior-buccal teeth, yielding an overall mean of 2.162±0.549 mm that falls within established histological reference ranges. Validation analysis (n = 234 teeth) demonstrated 80.8% agreement between iPD and clinical PD within ±1 mm, with a mean bias of -0.137 mm and limits of agreement of -1.718 to + 1.443 mm.</p><p><strong>Conclusions: </strong>Category-specific STA-calibrated high-frequency intraoral ultrasound enables clinically acceptable PD estimation across tooth types and surfaces without ionizing radiation or probe-induced discomfort. The observed level of agreement lies within the reported inter-examiner variability of conventional periodontal probing.</p><p><strong>Advances in knowledge: </strong>This study represents the initial comprehensive characterization of supracrestal tissue attachment for all tooth types and surfaces by means of high-frequency ultrasound, which illustrates that calibration for each of these tooth type groups is essential for accurate estimation of probing depth. This approach may provide a non-invasive adjunct to periodontal probing assessment.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148577586","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 for the Detection of the Palatoglossal Airspace in Panoramic Radiographs: A Diagnostic Support Tool.","authors":"Carolina Tiemi Kuteken, Heraldo Luis Dias da Silveira, Rodrigo Pagliarini Buligon, Rafael de Mattos Hahn, Thiago de Oliveira Gamba, Mariana Boessio Vizzotto","doi":"10.1093/dmfr/twag051","DOIUrl":"https://doi.org/10.1093/dmfr/twag051","url":null,"abstract":"<p><strong>Objective: </strong>To develop and validate an artificial intelligence model capable of identifying the presence of the palatoglossal airway in panoramic radiographs, a factor that may impair diagnostic image quality, thereby providing an intermediate technical evaluation tool prior to diagnostic image analysis.</p><p><strong>Materials and methods: </strong>A total of 456 panoramic radiographs were selected from a radiographic database containing approximately 10,000 images and independently classified by three evaluators into control (tongue positioned on the palate) and test (tongue not positioned on the palate) groups, used to establish the gold standard for comparison with the algorithm's classification. The AI model was developed using YOLOv11n architecture detection for training, validation, and testing, respectively. The model's performance was evaluated using the metrics of sensitivity, specificity, accuracy, recall, precision, and F1 score.</p><p><strong>Results: </strong>The AI model achieved 89.3% accuracy in detecting the presence of a palatoglossal airway associated with the classification of compromised image quality, demonstrating balanced sensitivity and specificity (both 89.47%) and excellent agreement with the reference standard (Kappa index = 1.0).</p><p><strong>Conclusion: </strong>The proposed AI-based model demonstrated high accuracy and robustness in detecting tongue-to-palate malposition in panoramic radiographs, a frequent error associated with the palatoglossal airway space that compromises diagnostic image quality.</p><p><strong>Clinical relevance: </strong>The developed algorithm is available through the website, where it is possible to obtain an instant technical analysis of the panoramic image, capable of preventing errors in subsequent diagnostic interpretation.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148577612","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":"Dynamic contrast-enhanced magnetic resonance imaging for distinguishing vital and non-vital teeth affected by lesions in jaw bones: A validation study.","authors":"Supasith Yomtako, Sakiko Kume, Hiroshi Watanabe, Ami Kuribayashi, Shin Nakamura, Akiko Imaizumi, Hiroshi Tomisato, Yoshikazu Nomura, Miharu Taguchi, Arisa Oki, Masahiko Miura","doi":"10.1093/dmfr/twag053","DOIUrl":"https://doi.org/10.1093/dmfr/twag053","url":null,"abstract":"<p><strong>Aim: </strong>To validate the diagnostic performance of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for assessing dental pulp vitality in teeth affected by lesions in jaw bones and evaluate the reproducibility of time-intensity curve (TIC)-based classification compared with electric pulp testing (EPT).</p><p><strong>Methodology: </strong>This retrospective validation study included patients who underwent DCE-MRI to investigate lesions occurring in jaw bones and affected teeth with EPT results. The TICs of the pulp were classified as increasing or non-increasing twice by two radiologists independently. Agreement between TIC classification and EPT results was assessed using Fisher's exact test.</p><p><strong>Results: </strong>We analyzed 127 teeth from 48 patients (29 males; mean age: 42.8 ± 19.8 years). Based on EPT, 113 teeth were classified as vital and 14 as non-vital. The TIC patterns were significantly associated with the EPT results, with an overall agreement rate of 94%. Seven teeth showed discordance between the two methods, and follow-up information suggested that several of these regained pulp sensitivity following surgical management.</p><p><strong>Conclusions: </strong>TIC classification from DCE-MRI showed good agreement with EPT for dental pulp vitality. In some teeth with a TIC-increasing pattern and EPT-negative results, the EPT results became positive as the lesion decreased. Therefore, DCE-MRI may provide clinically meaningful information beyond conventional sensitivity testing for teeth affected by lesions occurring in jaw bones.</p><p><strong>Advances in knowledge: </strong>DCE-MRI could assess dental pulp vitality in teeth that were significantly associated with EPT results. In addition, DCE-MRI may provide clinically meaning information beyond conventional sensitivity testing.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148561016","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":"Multinational survey of pediatric dentists' knowledge and clinical practices in dentomaxillofacial imaging.","authors":"Berkant Sezer, Gamze Coşan Ata, Canan Duman, Hakan Eren, Ola B Al-Batayneh, Yousef Khader, Heba Sabbagh, Sajjad Ahmad, Angelika Kobylińska, Alvaro García Pérez, Marwa Baraka, Majd Alsaleh","doi":"10.1093/dmfr/twag052","DOIUrl":"https://doi.org/10.1093/dmfr/twag052","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to evaluate pediatric dentists' knowledge and clinical practices regarding dentomaxillofacial imaging, with particular emphasis on guideline-consistent indication selection, radiation protection, and dose optimization principles, in accordance with established international guidelines (EAPD, AAPD, and DIMITRA).</p><p><strong>Methods: </strong>A structured cross-sectional questionnaire was distributed to pediatric dentists from eight countries (Egypt, Jordan, Mexico, Pakistan, Poland, Saudi Arabia, Türkiye, and the USA) through a convenience and snowball sampling approach. The survey assessed knowledge of radiation protection, radiographic parameters, cone-beam computed tomography (CBCT) indications and resolution selection, and routine clinical practices. Descriptive and comparative analyses were performed.</p><p><strong>Results: </strong>A total of 488 pediatric dentists participated, with a mean knowledge score of 39.9 ± 4.7, and 75.8% demonstrated moderate knowledge. Awareness of dose-reduction strategies was limited, as 41.6% identified rectangular collimation as the most effective radiation protection measure and 17.7% recognized its impact on radiation dose. Knowledge of dose-optimization principles varied: 68.0% of respondents demonstrated knowledge of the ALARA/ALADA principle, whereas 46.5% demonstrated knowledge of the ALADAIP concept. Clinical practices showed patterns that were partially consistent with guideline recommendations. Regarding CBCT, 57.4% had not received formal training, 43.6% were uncertain about appropriate field-of-view selection, and 91.0% reported fewer than five scans per month.</p><p><strong>Conclusions: </strong>Pediatric dentists demonstrated moderate radiation knowledge but inconsistent application of radiation protection principles. These findings indicate a gap between theoretical knowledge and clinical practice. Targeted, practice-oriented education is needed to improve dose optimization and CBCT-related decision-making. Findings should be interpreted with caution due to the non-probability sampling design.</p><p><strong>Advances in knowledge: </strong>This multinational study highlights persistent gaps in pediatric dental imaging practices and supports the need for standardized, competency-based training to improve radiation safety.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148577596","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":"Patient experience and movement frequency in young children during simulated ddMRI examinations.","authors":"A B Jensen, L H Matzen, J Christensen","doi":"10.1093/dmfr/twag049","DOIUrl":"https://doi.org/10.1093/dmfr/twag049","url":null,"abstract":"<p><strong>Objectives: </strong>To assess the feasibility of dental-dedicated MRI (ddMRI), a non-ionizing imaging modality, for scanning children and to explore associations between age, sex, perceived experience, and movement during scanning.</p><p><strong>Methods: </strong>Thirty-seven children age 8-14 underwent a mock ddMRI examination simulating the scan of an impacted canine (5 pulse sequences, total scan time 12'27 min) using a 0.55 T scanner and a dedicated dental radiofrequency surface coil. Perceived patient experience was recorded using a 5-point visual analogue scale (VAS) before and after the examination. Movements of the head and body were quantified and characterized from video recordings of the scan. Multiple linear regression analyses were applied to evaluate associations between log-transformed movement and age, sex, and VAS scores. Separate regression models were applied for pre- and post-scan VAS. Significance level was set at 0.05.</p><p><strong>Results: </strong>Number of movements during scan time was registered for the head separately (mean/median 6.3/0, range 0-82) and for the body in total (62/34, 0-430). Increased head movement was significantly associated with younger age (34%/year, p = 0.010). Overall movement was significantly associated with sex (M > F, 24.8% more movement, p = 0.010). Pre-scan VAS (mean/median 1,73/2, range 1-3) decreased significantly with increasing age (0.21 points/year, p = 0.035). Post-scan VAS (1.95/2, 1-3) was significantly higher in girls than in boys (0.6 points/year, p = 0.031).</p><p><strong>Conclusion: </strong>Age and sex influence the child's experience and the number of movements during the mock scan. ddMRI may prove to be a feasible method for scanning children in a dental setting, offering a comfortable experience without ionizing radiation.</p><p><strong>Advances in knowledge: </strong>This paper is the first to demonstrate the applicability of ddMRI in a paediatric population, thereby laying the groundwork for future research into its use in diagnosis and treatment planning for children and adolescents.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":4.0,"publicationDate":"2026-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148430116","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}