Dento maxillo facial radiology最新文献

{"title":"Correlation between temporomandibular joint space and different degrees of anterior disc displacement: a systematic review.","authors":"Yingxuan Teng, Jiayang Chen, Ruohan Ma, Shuo Wang, Gang Li","doi":"10.1093/dmfr/twag002","DOIUrl":"10.1093/dmfr/twag002","url":null,"abstract":"<p><strong>Objectives: </strong>This review aims to systematically summarize the current studies on the correlation between different degrees of anterior disc displacement (ADD) and temporomandibular joint (TMJ) space.</p><p><strong>Materials and methods: </strong>Study protocol was carried out based on the Preferred Reporting Items for Systematic Review and Meta-Analysis protocols (PRISMA). The PubMed, Scopus, Web of Science, and China National Knowledge Infrastructure (CNKI) databases were searched to find the relevant articles from database up to February 13, 2025. Studies that evaluated the correlation between ADD and TMJ spaces were included. We excluded intervention studies, case reports, case series, reviews, systematic reviews, opinion articles, book chapters, and studies involving populations with comorbidities potentially affecting the joints. The risk of bias was assessed using the QUADAS-2 tool.</p><p><strong>Results: </strong>Of the 1109 articles retrieved, a total of 10 articles on the correlation between different degrees of ADD and TMJ spaces were included after evaluation of the title, abstract, and full text. Throughout different degree of ADD, variations in anterior joint space (AJS) and posterior joint space (PJS) exist due to condyle displacement. When the progresses further to ADD without reduction (ADDWoR), the superior joint space (SJS) becomes narrow.</p><p><strong>Conclusions: </strong>There was a stepwise correlation between the TMJ spaces and the degree of ADD. The AJS and PJS tend to be various in different ADD groups, and the SJS tends to be narrowed in ADDWoR patients. Future studies should standardize methodologies to validate its clinical applicability.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"252-266"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145970728","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":"Cone-beam computed tomography-based grading system for oropharyngeal airway narrowing: a novel diagnostic framework for multidisciplinary clinical use.","authors":"Ajay G Nayak, Sunanda Bhatnagar","doi":"10.1093/dmfr/twaf084","DOIUrl":"10.1093/dmfr/twaf084","url":null,"abstract":"<p><p>This technical report presents a novel CBCT-Based Grading System for Oropharyngeal Airway Narrowing, designed to provide clinicians with a standardised, objective method to assess oropharyngeal airway narrowing using Cone-Beam Computed Tomography (CBCT). The grading system is developed based on the least surface area on axial section measurements/minimal cross-sectional area (MCA) on CBCT. It classifies oropharyngeal narrowing into five distinct grades (Grade 0 to 4). Each grade also has subcategories that correspond to specific anatomical regions-distal to the soft palate (P), distal to the base of the tongue (T), or distal to both the soft palate and the tongue (B)-and includes precise surface area ranges, contributing to better understanding. Traditional methods have commonly relied upon lateral cephalometry or supine CT; however, CBCT offers 3D mapping in a natural upright position, ensuring functional relevance of the airway assessment. Owing to its high spatial resolution, adequate contrast between the soft tissue and empty space, relatively low radiation dose compared to multidetector row CT and visibility of the upper airway by utilising a large field of view (FOV) protocol, CBCT a useful diagnostic tool for evaluation of the airway. The fact that CBCT is taken in a sitting or standing position, where the head is in equilibrium and orofacial and neck musculature is in voluntary control, vis-à-vis the supine position, where this control is taken over by the autonomic nervous system, and the distal part of the soft palate compresses the already narrowed airway further adds to its usefulness. CBCT imaging, with its three-dimensional mapping capabilities, allows for precise visualisation of the airway from the level of the posterior nasal spine, where the hard palate ends, extending to the epiglottis-thus measuring the oropharyngeal airway. The system is particularly useful for early detection and evaluation of conditions such as obstructive sleep apnoea, hypertrophy of the nasopharyngeal tonsils (adenoids), predicting difficult airways for ease of intubation, guiding orthognathic surgical interventions, craniofacial anomalies, and complex orthognathic surgical planning. It holds promise for integration into AI-enabled diagnostic platforms and digital imaging software, offering consistency in research and practice. This report details the rationale, grading criteria, anatomical references, and potential applications of this classification. The system offers a streamlined approach for identifying airway compromise, ultimately aiding multidisciplinary use in optimising patient outcomes.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"321-326"},"PeriodicalIF":2.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145676791","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":"Correlation analysis of articular disc position with condyle position and morphology assisted by fused image.","authors":"Jiayang Chen, Yingxuan Teng, Shuo Wang, Ruohan Ma, Gang Li","doi":"10.1093/dmfr/twag007","DOIUrl":"10.1093/dmfr/twag007","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to analyze the correlation between disc position and condylar position and morphology through fused cone-beam computed tomography (CBCT) and magnetic resonance (MR) images.</p><p><strong>Methods: </strong>Patients exhibiting temporomandibular disorder symptoms were included, and joints with poor osseous consistency were excluded. Angle of disc was measured in the fused image using the method proposed in this study. Joint spaces were measured, and condylar morphology was assessed in cone-beam computed tomography images. Statistical analysis was performed to examine the reliability of the measurement method and the correlation between disc position and condylar position/morphology. A logistic regression model was used for identifying factors associated with anterior disc displacement.</p><p><strong>Results: </strong>Our results showed that inter- and intra-observer agreement for measurements of disc angle and joint space were excellent (intraclass correlation coefficient > 0.9). Superior joint space, posterior joint space, and natural logarithm of the posterior-to-anterior joint space ratio showed significant correlations with the angle (P < .01) and significant differences between groups (P < .01). The posterior-to-anterior joint space ratio was significantly smaller in the mild displacement group. The logistic regression model demonstrated that a beak-like shape in oblique sagittal view (OR = 5.235, P < .05) and reduced posterior-to-anterior ratio (OR = 0.301, P < .05) significantly increased the risk of anterior disc displacement.</p><p><strong>Conclusions: </strong>Condylar position and morphology demonstrated statistically significant association with disc position. Multivariate logistic regression analysis revealed that condylar position and morphology in sagittal views in cone-beam computed tomography images can serve as indicators for disc displacement.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"314-320"},"PeriodicalIF":4.0,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146003274","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 external root resorption in periapical radiographs using YOLO-based deep learning model.","authors":"Seyide Tugce Gokdeniz, Arda Buyuksungur, Mehmet Eray Kolsuz, İbrahim Sevki Bayrakdar, Kaan Orhan","doi":"10.1093/dmfr/twaf072","DOIUrl":"10.1093/dmfr/twaf072","url":null,"abstract":"<p><strong>Objectives: </strong>External root resorption is a destructive process that usually develops without any symptoms and, when diagnosed, can lead to tooth extraction because it causes serious tooth tissue loss. Therefore, it is aimed to develop artificial intelligence algorithms that can assist in the diagnosis of external root resorption.</p><p><strong>Methods: </strong>Totally, 110 extracted teeth were demineralized by applying 40% nitric acid solution for 8 hours, 8% sodium hypochlorite for 10 minutes, and then a distilled water washing procedure. The prepared teeth were placed on a radioconjugate phantom model and imaged. The data set obtained from the teeth used in the study consists of a total of 584 periapical radiographs. YOLOv5x-cls and YOLOv5x-seg models were used to detect external root resorption.</p><p><strong>Results: </strong>The F1 score value of the YOLOv5x-cls model used for calcification of external root resorption was found to be 1.0, indicating that the model has a high success rate during the testing phase. In the YOLOv5x-seg model used for the segmentation of external root resorption, the F1 score values were found to be 0.8593. This value is an indication that the model is working effectively during the testing phase. It has also been determined that the classification is more successful than the segmentation model.</p><p><strong>Conclusion: </strong>In this study, artificial intelligence algorithms were used in the radiological evaluation of teeth with chemical external root resorption using a phantom model compatible with jawbone radiopacity. High success rates have been achieved in the detection of external root resorption areas with artificial intelligence.</p><p><strong>Advances in knowledge: </strong>This study presents an innovative approach to detecting external root resorption using artificial intelligence. In addition, the reliability of the study was increased by using the radioconjugate phantom model.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"166-176"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174244","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":"Performance and clinical applicability of AI models for jawbone lesion classification: a systematic review with meta-analysis and introduction of a clinical interpretation score.","authors":"Jonas Ver Berne, Minh Ton That, Reinhilde Jacobs","doi":"10.1093/dmfr/twaf086","DOIUrl":"10.1093/dmfr/twaf086","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the diagnostic accuracy and generalizability of artificial-intelligence (AI) models for radiographic classification of jawbone cysts and tumours, and to propose a Clinical Interpretation Score (CIS) that rates the transparency and real-world readiness of published AI tools.</p><p><strong>Methods: </strong>Eligible studies reporting sensitivity and specificity of AI classifiers on panoramic radiographs or cone-beam CT were retrieved. Two reviewers applied Joanna Briggs Institute (JBI) risk-of-bias criteria and extracted 2 × 2 tables and relevant metrics. Pooled estimates were calculated with random-effects meta-analysis; heterogeneity was quantified with I2.</p><p><strong>Results: </strong>Nineteen studies were included, predominantly reporting convolutional neural networks. Pooled specificity was consistently high (≥0.90) across lesions, whereas sensitivity ranged widely (0.50-1.00). Stafne bone cavities achieved near-perfect metrics; ameloblastoma and odontogenic keratocyst showed moderate sensitivity (0.62-0.85) but retained high specificity. Cone-beam CT improved sensitivity relative to panoramic imaging. Substantial heterogeneity (I2 > 50% in most comparisons) reflected variable prevalence, imaging protocols and validation strategies.</p><p><strong>Conclusions: </strong>Artificial-intelligence models demonstrate promising diagnostic performance in classifying several jawbone lesions, though their accuracy is influenced by imaging modality, lesion type, and prevalence. Despite encouraging technical results, many studies lack transparent reporting and external validation, limiting their clinical interpretability. The CIS provides a structured framework to evaluate the methodological transparency and clinical readiness of AI tools, helping to distinguish between technically sound models and those suitable for integration into diagnostic workflows.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"130-143"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145676760","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":"Estimating the modulation transfer function at natural structures in clinical CBCT images using the edge technique.","authors":"Matthias C Bott, Christos Katsaros, Ralf Schulze","doi":"10.1093/dmfr/twaf077","DOIUrl":"10.1093/dmfr/twaf077","url":null,"abstract":"<p><p>In dental radiography, where fine details need to be recognizable, image quality and spatial resolution play an important role. This is particularly the case in 3D imaging (CBCT), because the radiation exposure is significantly higher compared with any 2D imaging method. The gold standard for measuring spatial resolution, and especially for relating it to contrast, is the measurement of the modulation transfer function (MTF). The usual procedure to obtain the MTF is to take a CBCT scan of a test phantom, which consists of different materials. The MTF is then measured at the interface of 2 materials. In this work, we propose an approach in which we determine the MTF in clinical CBCT scans at the boundary of physiological, implanted, or restored teeth, as well as surrounding tissue structures of different densities. It is assumed that all CBCTs inhibit some kind of interface between a radio-dense and radio-translucent area. Following the methodology used by the German standard DIN 6868-161, we developed our own numerical software for the computation of the MTF. The method enables a stable estimation of spatial resolution (MTF) in clinical CBCT images.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"228-233"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145376359","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 dental restorations and prosthesis devices in panoramic dental X-ray using fast region-based convolutional neural network.","authors":"Martina Benvenuto, Marco Bologna, Alice Fortunati, Chiara Perazzo, Michaela Cellina, Maurizio Cè, Giulia Rubiu, Ilaria Martini, Davide Sala, Luca Di Palma, Deborah Fazzini, Simona Alba, Sergio Papa, Marco Alì","doi":"10.1093/dmfr/twaf079","DOIUrl":"10.1093/dmfr/twaf079","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to develop and evaluate an artificial intelligence (AI) framework for detecting dental restorations and prosthesis devices on panoramic radiographs (PRs). Detecting these elements is essential for enhancing automated reporting, improving the accuracy of dental assessments, and reducing manual examination time.</p><p><strong>Methods: </strong>A fast region-based convolutional neural network (Fast R-CNN) was trained using 186 PRs for the training set and 42 for validation. The model's performance was assessed on an external test dataset of 1133 PRs. Seven dental restorations and prosthesis devices were targeted: appliance, bridge, endodontic filling, crown filling, implant, retainer, and single crown. Precision, recall, and F1-score were calculated for each element to measure detection accuracy.</p><p><strong>Results: </strong>The AI framework achieved high performance across all categories, with precision, recall, and F1-scores as follows: appliance (0.79, 0.96, 0.87), bridge (0.91, 0.86, 0.89), endodontic filling (0.98, 0.98, 0.98), crown filling (0.95, 0.95, 0.95), implant (0.99, 0.97, 0.98), retainer (0.98, 0.98, 0.98), and single crown (0.94, 0.96, 0.95). The system processes one panoramic image in under 30 seconds.</p><p><strong>Conclusions: </strong>The AI framework demonstrated high recall and efficiency in detecting dental prosthesis and other dental restorations on PRs. Its application could significantly streamline dental diagnostics and automated reporting, enhancing both the speed and accuracy of dental assessments.</p><p><strong>Advances in knowledge: </strong>This study highlights the potential of AI in automating the detection of multiple dental restorations and prosthesis on PRs, offering a valuable tool for dental professionals to improve diagnostic workflows.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"207-216"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145370056","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":"Quantitative assessment of condylar bone changes in osteoarthritis patients using single-photon emission computed tomography/computed tomography and magnetic resonance imaging.","authors":"Chaeyeon Lee, Jae-Hoon Lee, Kug Jin Jeon, Jong-Ki Huh, Hye-Sun Kim, Young Hoon Ryu, Tae Joo Jeon, Jae-Young Kim","doi":"10.1093/dmfr/twaf070","DOIUrl":"10.1093/dmfr/twaf070","url":null,"abstract":"<p><strong>Objectives: </strong>This retrospective study aimed to investigate and evaluate the signal intensity ratio (SIR) on magnetic resonance imaging (MRI) and maximum standard uptake value (SUVmax) and Hounsfield unit (HU) values on single-photon emission computed tomography/computed tomography (SPECT/CT) in relation to the diagnosis of temporomandibular joint osteoarthritis (TMJ OA).</p><p><strong>Methods: </strong>Ninety-six TMJs from 63 patients who took SPECT/CT and MRI between January 2017 and September 2023 were included. SUVmax and HUmedulla of TMJ were measured. SIR was measured and calculated based on the ratio of magnetic signal intensity between the condyle and cerebral cortex on proton density-weighted image (PDWI) and T2-weighted image (WI).</p><p><strong>Results: </strong>The TMJ OA group showed high SUV max (7.98 ± 4.09; median: 6.5), compared to the normal (3.21 ± 0.76; median: 3.1), with a significant difference (P < .001). A significant difference was also observed in the HU, with the TMJ OA (457.14 ± 247.48) versus normal (296.91 ± 117.51) (P = .001). Both SIRs measured by PDWI and T2-WI were lower in the TMJ OA (0.89 ± 0.28; median: 0.9 and 1.19 ± 0.26; median: 1.2) compared to the normal (1.23 ± 0.23; median: 1.2 and 1.00 ± 0.23; median: 1.0) with a significant difference (P < .001).</p><p><strong>Conclusions: </strong>This study can provide the basis that SIR can be helpful in diagnosis in patients clinically suspected of having OA.</p><p><strong>Advances in knowledge: </strong>This study is the first to quantitatively evaluate condylar bone changes in TMJ OA by combining SUVmax from SPECT/CT, HU from CT, and SIR from MRI within the same cohort. This integrated imaging approach may contribute to a more objective and reliable diagnosis of TMJ osteoarthritis.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"158-165"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145191430","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":"Shear wave elastography of the salivary glands in the diagnosis of Sjögren disease: a systematic review and meta-analysis.","authors":"Bethânia Lara Silveira Freitas, Laura Silva Jerônimo, Ana Clara Coutinho Pires, Leandro Augusto Tanure, Débora Cerqueira Calderaro, José Alcides Almeida de Arruda, Lucas Guimarães Abreu, Tarcília Aparecida Silva, Maurício Augusto Aquino de Castro, Sílvia Ferreira de Sousa","doi":"10.1093/dmfr/twaf071","DOIUrl":"10.1093/dmfr/twaf071","url":null,"abstract":"<p><strong>Objective: </strong>Sjögren disease (SD) is characterized by lymphocytic infiltration and fibrosis of the salivary glands. Shear wave elastography (SWE), an ultrasound-based modality that quantifies tissue stiffness, may assist in SD diagnosis. This study aimed to systematically review and meta-analyze the diagnostic performance of SWE in evaluating major salivary glands in individuals with SD, based on studies applying the 2016 ACR/EULAR classification criteria.</p><p><strong>Methods: </strong>Six electronic databases and gray literature sources were searched. Cross-sectional and diagnostic accuracy studies were included. Risk of bias was appraised using the Joanna Briggs Institute tool. Quantitative synthesis was performed using random-effects meta-analyses.</p><p><strong>Results: </strong>Eleven studies comprising 1029 participants (530 with SD; 499 controls; 90.67% female) were included. Meta-analyses revealed that SWE values were significantly higher in SD patients than in controls, with pooled mean differences of 0.78 m/s (95% CI: 0.54-1.02) and 12.37 kPa (95% CI: 8.65-16.10) in the parotid gland, and 0.48 m/s (95% CI: 0.33-0.63) and 9.09 kPa (95% CI: 4.88-13.31) in the submandibular gland. Parotid SWE values expressed in kPa showed the highest diagnostic accuracy (AUC = 82.9%), followed by values in m/s (AUC = 73.1%).</p><p><strong>Conclusions: </strong>SWE effectively differentiates SD from healthy individuals, particularly when applied to the parotid gland. Standardization of SWE protocols may enhance diagnostic accuracy and foster clinical integration.</p><p><strong>Advances in knowledge: </strong>This is the first meta-analysis focused exclusively on studies adopting the 2016 ACR/EULAR criteria for SD.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"119-129"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145136883","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":"Influence of tube current, sharpening filters, and metal artefact-reducing filters on the diagnosis in the cone-beam computed tomographic diagnosis of carious lesion.","authors":"Lorena Esteves Silveira, Larissa Pereira Nunes, Lizandra Gonzaga Rodrigues, Mariana Carvalho, Isabella Caroline Fonseca Tavares, Thaygla Cristhina de Araújo Gandra, Diogo de Azevedo Miranda, Flávio Ricardo Manzi","doi":"10.1093/dmfr/twaf073","DOIUrl":"10.1093/dmfr/twaf073","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate artefact-reducing filters as a means to optimize and ensure the accuracy of carious lesion diagnosis testing in 2 experimental models (presence and absence of adjacent metallic objects).</p><p><strong>Methods: </strong>Fifty molar teeth were used, randomly divided into 5 groups (n = 10): G1-Sound teeth; G2-Carious teeth; G3-teeth with Class I cavity preparation restored with resin (Cl I + R); G4-Cl I + R with the use of a hyperdense lining material; and G5-Cl I + R with the use of a hypodense lining material. The Carestream CS 9600 tomograph was used, testing 2 experimental models (presence and absence of adjacent metallic objects), with tube voltages of 100 kV and 120 kV, voxel sizes of 75 and 150 µm, and applying the metal artefact reduction (MAR) filter. Three examiners scored according to the Likert scale. The Fleiss' kappa test was performed to analyse intra- and inter-examiner agreement, in addition to Cochran's Q test with a significance level of 5%, to compare the parameters of tube voltage, voxel size, and MAR filter.</p><p><strong>Results: </strong>The Fleiss' kappa test showed excellent inter- and intraobserver agreement for all groups. All modalities of tube voltage, voxel size, and MAR filter showed very high accuracy, sensitivity, and specificity, providing diagnoses consistent with reality, achieving 99% accuracy when the model did not present adjacent metallic objects to the tooth, and 95% accuracy when such objects were present.</p><p><strong>Conclusions: </strong>It is concluded that, although cone-beam computed tomography is not the exam of choice for diagnosing carious lesions, optimizing acquisition parameters and using MAR filters allows a reliable concomitant diagnosis in exams already indicated for other purposes.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"177-183"},"PeriodicalIF":2.9,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145191289","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}