Dento maxillo facial radiology最新文献

{"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}

{"title":"Assessment of the impact of a semi-immersive virtual reality simulation software in panoramic radiography training.","authors":"Luciano Augusto Cano Martins, Leszek Szalewski, Anna Michalska, Paweł Kalinowski, Marcelo de Gusmão Paraíso Cavalcanti, Ingrid Różyło-Kalinowska","doi":"10.1093/dmfr/twaf039","DOIUrl":"https://doi.org/10.1093/dmfr/twaf039","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the effectiveness of Virtual Reality (VR) simulations in improving learning outcomes in dental radiology in panoramic radiography.</p><p><strong>Methods: </strong>Thirty-two volunteer dental students (1st and 2nd year of study) had the same theoretical lecture about panoramic imaging. For practical training, students were randomly divided into 2 groups: G1: traditional educational method and G2: VR (Qbion AB software). Panoramic images of 2 anthropomorphic phantoms using a VistaVoxS 3D device were acquired. The type and number of positioning errors and the need for a retake were evaluated by one Oral Radiology teacher and one senior radiographer in consensus. To test the retention of knowledge, students from both groups had to identify the absence or presence of positioning errors. Data obtained were evaluated by a descriptive analysis and it considered the frequency of the categorical variables.</p><p><strong>Results: </strong>The positioning error rate was higher for G1 (62.50%). Type error 3 (Patient's chin raised too high) was the most prevalent (47.06%) among the groups. The retake rate among all students was similar (25%). G2 was more able to detect patient's positioning errors (68.8%) than G1.</p><p><strong>Conclusions: </strong>The semi-immersive VR software demonstrated potential benefits for dental students. VR tools could be integrated into Oral Radiology preclinical simulations as an additional educational tool to help reduce patient positioning errors in panoramic radiography.</p><p><strong>Advances in knowledge: </strong>This study highlights the effectiveness of semi-immersive VR in improving dental students' ability to detect and prevent positioning errors in panoramic radiography. VR training enhances knowledge retention and supports its integration into preclinical education as an additional educational tool to optimize radiographic training.</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":"143969270","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":"Clinical application of a modified image receptor-holding device to reduce proximal surfaces overlapping in bitewing radiography.","authors":"Lara Ravanelli, Michelle Chang, Henrique Mateus Alves Felizardo, Deivi Cascante-Sequeira, Hugo Gaêta-Araujo","doi":"10.1093/dmfr/twaf043","DOIUrl":"https://doi.org/10.1093/dmfr/twaf043","url":null,"abstract":"<p><strong>Objectives: </strong>To clinically validate the use of a modified image receptor-holding device (IRHD) for the bitewing technique.</p><p><strong>Methods: </strong>Premolars and molars' bitewing radiographs of 101 patients were acquired using two IRHD (traditional and modified). The modified IRHD was computer-aided designed and 3D printed. Images were acquired by a single operator using a digital radiographic system with phosphor storage plates. A questionnaire regarding the perception of the use of the two IRHD was applied to patients and the operator. Image evaluation (paired and individual) was performed by two oral and maxillofacial radiologists. Repetition, overlap rate and operator/patient perception were expressed as absolute and relative frequencies, and compared between the devices using the chi-square test with a 5% significance level.</p><p><strong>Results: </strong>The paired evaluation showed no difference in the rate of proximal surface overlap between the IRHDs (p ≥ 0.05). Individual evaluation showed a lower rate of proximal surface overlap with the modified IRHD, with emphasis on the distal surface in the premolar region (p < 0.05). The modified IRHD presented greater ease of positioning (52.3%), greater stability (64.9%), preference of use by the operator (54.5%) and greater comfort was reported by the patients (54.5%).</p><p><strong>Conclusions: </strong>The modified IRHD may be more comfortable and has the potential to reduce the proximal surface overlap than the traditional IRHD, especially when there is an indication for a single radiograph in the premolar region.</p><p><strong>Advances in knowledge: </strong>We clinically validated a modified IRHD that has potential to decrease proximal surfaces overlap with greater comfort for the patients.</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":"143958490","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":"Designing a web-based application for computer-aided diagnosis of intraosseous jaw lesions and assessment of its diagnostic accuracy.","authors":"Mahdi Mohammadnezhad, Zahra Dalili Kajan, Amirhossein Hami Razavi","doi":"10.1093/dmfr/twaf036","DOIUrl":"https://doi.org/10.1093/dmfr/twaf036","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to design a web-based application for computer-aided diagnosis (CADx) of intraosseous jaw lesions, and assess its diagnostic accuracy.</p><p><strong>Materials and methods: </strong>In this diagnostic test study, a web-based application was designed for CADx of 19 types of intraosseous jaw lesions. To assess its diagnostic accuracy, clinical and radiographic information of 95 cases with confirmed histopathological diagnosis of intraosseous jaw lesions was retrieved from hospital archives and published literature and imported to the application by a senior dental student. The top-N accuracy, kappa value, and Brier score were calculated, and the sensitivity, specificity, positive (PPV) and negative (NPV) predictive values, and the area under the receiver operating characteristic (ROC) curve (AUC) were calculated separately for each lesion according to DeLong et al. were calculated separately for each lesion according to DeLong et al.</p><p><strong>Results: </strong>In assessment of top-N accuracy, the designed application gave a correct differential diagnosis in 93 cases (97.89%); the correct diagnosis was at the top of the list of differential diagnoses in 78 cases (82.10%); these values were 85 (89.47%) and 67 (70.52%) for an oral radiologist. The kappa value was 0.53. The Brayer score for the prevalence match was 0.18, and the pattern match was 0.15.</p><p><strong>Conclusion: </strong>The results highlighted the optimally high diagnostic accuracy of the designed application, indicating that it may be reliably used for CADx of intraosseous jaw lesions, if given accurate data.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143970152","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":"Aging and dental loss impact on the cortical base resorption of the mandibular bone as a confounding bias in a radio-morphometric analysis using panoramic radiographs.","authors":"Cláudio Tadiello Dias, Lizandra Gonzaga Rodrigues, Polianne Alves Mendes Nascimento, Flávio Ricardo Manzi, Elton Gonçalves Zenóbio","doi":"10.1093/dmfr/twaf035","DOIUrl":"https://doi.org/10.1093/dmfr/twaf035","url":null,"abstract":"<p><strong>Objectives: </strong>The present study aims to assess whether changes in the cortical base of the mandibula could represent a confounding bias, caused by aging or by dental loss, for the use of radio-morphometric analyses, in order to analyse the cortical base of the mandibula. This can function as an early auxiliary diagnosis for osteoporosis.</p><p><strong>Methods: </strong>4,032 measurements of the cortical base of the mandibula were made using 504 panoramic radiographs of men aged between 20 and 89 years, segmented into 10-year age groups, and either dentate or edentulous. The cortical base of the mandibula measurements among age groups were compared to identify changes related to aging, and the measurements from the dentate and edentulous groups were compared to identify changes related to edentulism. All measurements were compared with previously established references of the radio-morphometric indices to verify the existence of confounding bias with factors proposed in the present study.</p><p><strong>Results: </strong>Cortical base of mandibular thickness decreases from the mental foramen toward the mandibular ramus. It can be affirmed that this thickness decreases with age and/or dental loss (p ≤ 0.05), with edentulism being the most significant factor (p ≤ 0.05).</p><p><strong>Conclusions: </strong>Perhaps the decreased cortical base of mandibular thickness with age and/or dental loss, does not allow the inference that aging or edentulism represents a confounding bias in the radio-morphometric indices using this thickness in auxiliary diagnosis of osteoporosis. However, edentulism impacts on osteopenia indices.</p><p><strong>Advances in knowledge: </strong>Considering the use of the panoramic radiographic image in dental exams protocol, research efforts have been made in an attempt to establish indicators that may be detected for osteoporosis and osteopenia. It's also important to state that early diagnosis would be fundamental to reduce the social and personal impact of these diseases.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143986344","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":"APD-FFNet: A Novel Explainable Deep Feature Fusion Network for Automated Periodontitis Diagnosis on Dental Panoramic Radiography.","authors":"Esra Sivari Resul, Guler Burcu Senirkentli, Erkan Bostanci, Bahar Fusun Oduncuoglu","doi":"10.1093/dmfr/twaf034","DOIUrl":"https://doi.org/10.1093/dmfr/twaf034","url":null,"abstract":"<p><strong>Objectives: </strong>This study introduces APD-FFNet, a novel, explainable deep learning architecture for automated periodontitis diagnosis using panoramic radiographs.</p><p><strong>Methods: </strong>A total of 337 panoramic radiographs, annotated by a periodontist, served as the dataset. APD-FFNet combines custom convolutional and transformer-based layers within a deep feature fusion framework that captures both local and global contextual features. Performance was evaluated using accuracy, the F1 score, the area under the receiver operating characteristic curve, the Jaccard similarity coefficient, and the Matthews correlation coefficient. McNemar's test confirmed statistical significance, and SHapley Additive exPlanations provided interpretability insights.</p><p><strong>Results: </strong>APD-FFNet achieved 94% accuracy, a 93.88% F1 score, 93.47% area under the receiver operating characteristic curve, 88.47% Jaccard similarity coefficient, and 88.46% Matthews correlation coefficient, surpassing comparable approaches. McNemar's test validated these findings (p < 0.05). Explanations generated by SHapley Additive exPlanations highlighted important regions in each radiograph, supporting clinical applicability.</p><p><strong>Conclusions: </strong>By merging convolutional and transformer-based layers, APD-FFNet establishes a new benchmark in automated, interpretable periodontitis diagnosis, with low hyperparameter sensitivity facilitating its integration into regular dental practice. Its adaptable design suggests broader relevance to other medical imaging domains.</p><p><strong>Advances in knowledge: </strong>This is the first feature fusion method specifically devised for periodontitis diagnosis, supported by an expert-curated dataset and advanced explainable artificial intelligence. Its robust accuracy, low hyperparameter sensitivity, and transparent outputs set a new standard for automated periodontal analysis.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143995177","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":"Orientation Normalization Algorithm for Mandibular Condyle in the Small Field-of-View CBCT Images Based on Morphology Analysis.","authors":"Dongling Guo, Hui Yan, Yuxuan Yang, Jiling Feng, Ruohan Ma, Yahui Peng, Yong Guo, Gang Li, Jupeng Li","doi":"10.1093/dmfr/twaf025","DOIUrl":"https://doi.org/10.1093/dmfr/twaf025","url":null,"abstract":"<p><strong>Objectives: </strong>Due to the difference between the natural head position during scan and the orientation of CBCT display required for diagnosis, radiologists need to manually adjust the image orientation during clinical diagnosis. To eliminate this difference, this study explored orientation normalization algorithm for mandibular condyle in the small field-of-view (FoV) cone beam computed tomography (CBCT) images.</p><p><strong>Methods: </strong>Based on the morphology analysis, we designed principal component analysis (PCA) based orientation normalization algorithm for condyle in the small FoV CBCT images. The algorithm involves first locating the reference center, defined as the center coordinates of the condylar head in the maximum axial plane, through segmentation and centroid calculation. Subsequently, the maximum principal orientations in the axial, coronal, and sagittal planes are extracted using PCA algorithm. Finally, the condyle orientation is normalized by using rotation transformation matrices derived from condylar head center localization and principal orientation extraction.</p><p><strong>Results: </strong>Our algorithm was evaluated on two CBCT image datasets with 692 scans, and multiple experiments were designed from aspects of algorithm accuracy and stability. Experimental results demonstrate that images with orientation normalization are consistent with the radiologists expected perspective from both qualitative and quantitative aspects. The normalized results of CBCT images taken at multiple time-points also further confirm that our method has good stability.</p><p><strong>Conclusion: </strong>Based on the morphological characteristics, medical image processing algorithm can achieve accurate and stable orientation normalization for condyle in the small FoV CBCT images.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143974924","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":"Submandibular sialolithiasis with CT and SPECT/CT: CT values, standardized uptake values, and salivary gland excretion in the parotid and submandibular glands.","authors":"Yuka Tanabe, Ichiro Ogura","doi":"10.1093/dmfr/twae045","DOIUrl":"10.1093/dmfr/twae045","url":null,"abstract":"<p><strong>Objectives: </strong>Recently, SPECT/CT has been widely accepted as a valuable diagnostic tool in dentistry. The aim of this study was to investigate submandibular sialolithiasis with CT and SPECT/CT, especially CT values, standardized uptake values (SUVs), and salivary gland excretion in the parotid and submandibular glands.</p><p><strong>Methods: </strong>A prospective study was performed in 13 patients with submandibular sialolithiasis who underwent CT and salivary gland SPECT/CT. The CT values and the SUVs of parotid and submandibular glands were obtained using a workstation and software. The salivary gland excretion in the parotid and submandibular glands was defined as ratio of pre- to post-stimulation on SUVs. A P-value lower than .05 was considered as statistically significant.</p><p><strong>Results: </strong>In the submandibular glands with sialoliths, the average CT values were significantly correlated with the maximum SUVs at ratio of pre-stimulation (r = 0.558, P<.05). The maximum SUVs at ratio of pre- to post-stimulation in the submandibular glands with and without sialoliths were 1.5 ± 1.1 and 2.1 ± 0.7, respectively (P = .026).</p><p><strong>Conclusion: </strong>The salivary gland SPECT/CT SUVs can be useful in clinical practice for the quantitative management of parotid and submandibular glands in patients with submandibular sialolithiasis.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"307-312"},"PeriodicalIF":2.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143556104","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":"Development of automatic landmark identification for mandible using curvature-based registration.","authors":"Yunaho Yonemitsu, Masayoshi Uezono, Takeshi Ogasawara, Rathnayake Mudiyanselage Migara Harsaka Bandara Rathnayake, Yoshikazu Nakajima, Keiji Moriyama","doi":"10.1093/dmfr/twaf008","DOIUrl":"10.1093/dmfr/twaf008","url":null,"abstract":"<p><strong>Objectives: </strong>The purpose of this study was to propose an automatic landmark identification method using curvature to improve the reproducibility of landmark identification and compare its performance with that of a previously established method.</p><p><strong>Methods: </strong>A total of 30 patients with facial deformities associated with mandibular prognathism were included. CT images were utilized to construct 3D surface models, followed by an analysis of their surface curvature distribution. A statistical shape model (SSM) was created as a deformable mean model to identify the 6 landmarks. These landmarks were automatically identified in each patient model by registering the SSM in the individual patient models. Two registration methods were employed: the proposed curvature-based and previously established methods. Both methods involved rigid and nonrigid registration processes; however, the proposed method included additional curvature-based registration using a curvature-driven, nonrigid iterative closest point (ICP) algorithm. The Euclidean distances between the manually and automatically identified landmarks were measured and compared between the 2 methods.</p><p><strong>Results: </strong>The Euclidean distance was significantly lower in the gonion and right coronoid process when the proposed method was used compared to the previous method. No significant differences were observed in the condylion or left coronoid process.</p><p><strong>Conclusions: </strong>These findings suggest that the curvature-based registration successfully automates landmark identification on 3D mandibular images, providing higher accuracy in convex regions and improved reproducibility in landmark identification.</p>","PeriodicalId":11261,"journal":{"name":"Dento maxillo facial radiology","volume":" ","pages":"294-301"},"PeriodicalIF":2.9,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143467284","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}