Oral Radiology最新文献_第3页

The relationship between radiographic measurements of alveolar bone in posterior single-tooth edentulous regions and non-alveolar jawbones using multidetector computed tomography. 使用多载体计算机断层扫描测量后部单齿无牙区牙槽骨和非牙槽骨颌骨之间的关系。

IF 1.6 3区医学

Oral Radiology Pub Date : 2024-09-24 DOI: 10.1007/s11282-024-00771-5

Imad Barngkgei, Leen Khattash, Samar Kakhia

{"title":"The relationship between radiographic measurements of alveolar bone in posterior single-tooth edentulous regions and non-alveolar jawbones using multidetector computed tomography.","authors":"Imad Barngkgei, Leen Khattash, Samar Kakhia","doi":"10.1007/s11282-024-00771-5","DOIUrl":"https://doi.org/10.1007/s11282-024-00771-5","url":null,"abstract":"Objective: This study aimed to evaluate the relationship between radiographic measurements of the alveolar bone in posterior single-tooth edentulous regions and radiographic measurements of non-alveolar jawbones using multidetector computed tomography (MDCT).Methods: The sample consisted of 47 patients aged between 20 and 42 years who underwent MDCT. All patients had a posterior single-tooth edentulous region. Extraction was performed 1-8 years ago at the time of inclusion (mean = 3.2). The alveolar bone in the edentulous region and non-alveolar bone regions (maxillary tuberosity, condyles, inferior to the mandibular foramen, and mandibular angle) were studied radiographically (radiographic density, dimensions, and cortical bone ratio). Pearson correlation, independent sample t test, and linear regression analysis were used for the statistical analysis.Results: Radiographic density of the alveolar bone (measured in the axial or buccolingual directions) correlated significantly with that of the maxillary tuberosity (0.3 < r < 0.4; P value ≥ 0.001) and, to a lesser extent, with the radiographic density of the region inferior to the mental foramen (r ≈ 0.3). Based on these correlation coefficients, non-alveolar bone density could explain 10-16% of the alveolar bone density after extraction according to linear regression analysis.Conclusions: This study revealed that alveolar bone radiographic density was correlated with that of the maxillary tuberosity and inferior to the mental foramen region. Accordingly, linear regression models were suggested to aid in predicting future alveolar bone density in areas where extraction is to be performed.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142309206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accuracy of intraoral ultrasound to evaluate alveolar bone level: an ex vivo study in human cadavers 口内超声波评估牙槽骨水平的准确性：人体尸体活体研究

IF 2.2 3区医学

Oral Radiology Pub Date : 2024-09-09 DOI: 10.1007/s11282-024-00773-3

Claudiu Corbea, Lawrence H. Le, Neelambar R. Kaipatur, Mengxun Li, Kim Cuong Nguyen, Giseon Heo, Carlos Alberto Figueredo, Paul W. Major, Fabiana T. Almeida

{"title":"Accuracy of intraoral ultrasound to evaluate alveolar bone level: an ex vivo study in human cadavers","authors":"Claudiu Corbea, Lawrence H. Le, Neelambar R. Kaipatur, Mengxun Li, Kim Cuong Nguyen, Giseon Heo, Carlos Alberto Figueredo, Paul W. Major, Fabiana T. Almeida","doi":"10.1007/s11282-024-00773-3","DOIUrl":"https://doi.org/10.1007/s11282-024-00773-3","url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Objectives</h3>This study aimed to evaluate the reliability and accuracy of an intraoral ultrasound (US) device to evaluate alveolar bone by comparing it between different raters and to microCT (µCT) measurements.<h3 data-test=\"abstract-sub-heading\">Methods</h3>38 teeth distributed across three human cadavers were prepared by placing two notches on the facial enamel surface. The maxillary and mandibular teeth were imaged with a custom-designed intraoral 20 MHz ultrasound and µCT with 0.03 mm voxel size. µCT was considered the reference standard for this study. For each sample, the distance from the inferior border of the most apical notch to the tip of the alveolar bone crest on the facial aspect of the teeth was measured from the US and µCT images. Intraclass correlation coefficient (ICC) and standard deviation were calculated.<h3 data-test=\"abstract-sub-heading\">Results</h3>The intra-examiner and inter-examiner reliability for both the µCT and US alveolar bone measurements were found to be excellent (intra-examiner ICC was 0.998 for µCT and 0.997 for US, inter-examiner ICC was 0.996 for µCT and between 0.947 and 0.950 for US). The accuracy of the US was found to be good compared to µCT (ICC between 0.885 and 0.894).<h3 data-test=\"abstract-sub-heading\">Conclusion</h3>The study demonstrated that intraoral ultrasound is highly reliable and accurate compared to the µCT reference standard for evaluating facial alveolar bone height.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142225414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessing masseter muscle volume and activity in relation to craniofacial morphology: a 3D CBCT study. 评估与颅面形态有关的颌下肌体积和活动：三维 CBCT 研究。

IF 1.6 3区医学

Oral Radiology Pub Date : 2024-09-03 DOI: 10.1007/s11282-024-00772-4

Alime Okkesim, Melda Misirlioglu

{"title":"Assessing masseter muscle volume and activity in relation to craniofacial morphology: a 3D CBCT study.","authors":"Alime Okkesim, Melda Misirlioglu","doi":"10.1007/s11282-024-00772-4","DOIUrl":"https://doi.org/10.1007/s11282-024-00772-4","url":null,"abstract":"Introductions: Understanding the factors influencing craniofacial structure growth is crucial for addressing craniofacial deformities. This study evaluates masseter muscle volume, activity, and maximum bite force across different skeletal malocclusion groups and aims to evaluate the masseter muscle volume, activity, and maximum bite force (BF) according to different skeletal malocclusion groups.Methods: This study aimed to assess masseter muscle volume, activity, and maximum bite force (BF) across different skeletal malocclusion groups in 60 young adults (18-30 years) seeking treatment at Kirikkale University Faculty of Dentistry. Cone-Beam Computed Tomography (CBCT) imaging, radiological measurements, surface electromyography (sEMG), and force sensor measurements were employed.Results: Results revealed significant differences in sEMG measurements based on sagittal classification. Vertical direction groups showed notable results in muscle volume and BF, though no significant differences were observed in sEMG values. A correlation was identified between BF and sEMG, but no correlation was found between muscle volume and other parameters.Conclusions: The findings obtained in this study suggest that the significant relationship between EMG and sagittal skeletal classification could be a valuable diagnostic tool. However, concerns about reliability were raised due to uneven distribution in muscle volume and BF among vertical direction groups. The lack of significant results in muscle volume, sEMG, and BF was attributed to CBCT limitations in soft tissue imaging and the small sample size, emphasizing caution in interpreting the findings.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142121249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep learning segmentation of mandible with lower dentition from cone beam CT. 利用锥形束 CT 对下颌骨和下牙进行深度学习分割。

IF 1.6 3区医学

Oral Radiology Pub Date : 2024-08-14 DOI: 10.1007/s11282-024-00770-6

Daniel C Kargilis, Winnie Xu, Samir Reddy, Shilpa Shree Kuduva Ramesh, Steven Wang, Anh D Le, Chamith S Rajapakse

{"title":"Deep learning segmentation of mandible with lower dentition from cone beam CT.","authors":"Daniel C Kargilis, Winnie Xu, Samir Reddy, Shilpa Shree Kuduva Ramesh, Steven Wang, Anh D Le, Chamith S Rajapakse","doi":"10.1007/s11282-024-00770-6","DOIUrl":"https://doi.org/10.1007/s11282-024-00770-6","url":null,"abstract":"Objectives: This study aimed to train a 3D U-Net convolutional neural network (CNN) for mandible and lower dentition segmentation from cone-beam computed tomography (CBCT) scans.Methods: In an ambispective cross-sectional design, CBCT scans from two hospitals (2009-2019 and 2021-2022) constituted an internal dataset and external validation set, respectively. Manual segmentation informed CNN training, and evaluations employed Dice similarity coefficient (DSC) for volumetric accuracy. A blinded oral maxillofacial surgeon performed qualitative grading of CBCT scans and object meshes. Statistical analyses included independent t-tests and ANOVA tests to compare DSC across patient subgroups of gender, race, body mass index (BMI), test dataset used, age, and degree of metal artifact. Tests were powered for a minimum detectable difference in DSC of 0.025, with alpha of 0.05 and power level of 0.8.Results: 648 CBCT scans from 490 patients were included in the study. The CNN achieved high accuracy (average DSC: 0.945 internal, 0.940 external). No DSC differences were observed between test set used, gender, BMI, and race. Significant differences in DSC were identified based on age group and the degree of metal artifact. The majority (80%) of object meshes produced by both manual and automatic segmentation were rated as acceptable or higher quality.Conclusion: We developed a model for automatic mandible and lower dentition segmentation from CBCT scans in a demographically diverse cohort including a high degree of metal artifacts. The model demonstrated good accuracy on internal and external test sets, with majority acceptable quality from a clinical grader.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141977343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Ultrasonography as an additional tool to localize impacted canines. 超声波检查是定位受影响犬齿的又一工具。

IF 1.6 3区医学

Oral Radiology Pub Date : 2024-08-10 DOI: 10.1007/s11282-024-00769-z

Marilia Yatabe, Oliver Kripfgans, Hsun-Liang Chan, Jennifer Xu, Jade Cook, Fabiana Soki

{"title":"Ultrasonography as an additional tool to localize impacted canines.","authors":"Marilia Yatabe, Oliver Kripfgans, Hsun-Liang Chan, Jennifer Xu, Jade Cook, Fabiana Soki","doi":"10.1007/s11282-024-00769-z","DOIUrl":"https://doi.org/10.1007/s11282-024-00769-z","url":null,"abstract":"Canine impaction is a common dental anomaly that requires a multidisciplinary approach, from diagnosis to treatment. The regular two-dimensional (2D) radiographs are able to visualize if the tooth is impacted, but unable to specifically localize it, and determine if there are any root resorptions associated to it. The cone-beam computed tomography (CBCT) is able to three-dimensionally determine its location, aiding to the diagnosis and treatment plan. The major disadvantage is the amount of radiation that is added to the patient and can be even more significant in pediatric patients. The intra-oral ultrasound (io-US) is a new non-invasive and non-radiating real-time chairside imaging method that has the potential to aid in locating the impacted tooth. This paper presents 4 cases that required a CBCT for the location and treatment planning of impacted maxillary canines and were also scanned with intra-oral ultrasound. The images were then compared to the CBCT exam for validation of the new method. Through these cases, we highlight the capability of the io-US to locate the impacted canines. Other advantages of io-US might include evaluation of soft tissue thickness and vasculature that are important for surgical planning and execution.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141914730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A cone-beam computed tomography study of canalis sinuosus and its accessory canals in a South African population. 锥形束计算机断层扫描研究：南非人群中的鼻窦及其附属管道。

IF 2.2 3区医学

Oral Radiology Pub Date : 2024-07-01 Epub Date: 2024-02-09 DOI: 10.1007/s11282-024-00738-6

Michael A Beckenstrater, Mohamed Y Gamieldien, Chane Smit, Glynn D Buchanan

{"title":"A cone-beam computed tomography study of canalis sinuosus and its accessory canals in a South African population.","authors":"Michael A Beckenstrater, Mohamed Y Gamieldien, Chane Smit, Glynn D Buchanan","doi":"10.1007/s11282-024-00738-6","DOIUrl":"10.1007/s11282-024-00738-6","url":null,"abstract":"Objectives: Canalis sinuosus (CS) is a clinically relevant structure in the anterior maxilla. The present study aimed to determine the prevalence and distribution of CS and its accessory canals (ACs) in the South African population and describe its anatomical variations.Methods: In total, 500 cone-beam computed tomography (CBCT) scans of the anterior maxilla were assessed for prevalence, sidedness, diameter, and distribution of CS. The frequency, number, diameter, configuration, and point of termination of ACs were also recorded. Statistical analysis was performed using analysis of variance, Kruskal-Wallis, chi-squared, and Fisher Exact tests with P < 0.05.Results: CS was present in most cases (99.6%), and commonly occurred bilaterally (98.8%). The mean diameter of CS was 1.08 mm (range: 0.50 mm-2.39 mm). Sex, population group, and age had no significant effect on the prevalence or sidedness of CS. Additionally, 535 ACs were observed in 58.8% of the sample, with 42.9% of ACs found bilaterally and 57.1% unilaterally. The mean diameter of the ACs was 0.86 mm on the left and 0.87 mm on the right (range; 0.50 mm-1.52 mm). The majority of ACs maintained a straight vertical configuration (72.3%). ACs most commonly terminated in the anterior palatal region of the maxilla (57.2%). No significant differences were found in any groups mentioned (P > 0.05).Conclusions: A high prevalence of CS as well as ACs were observed in the sample population. Due to their clinical significance, surgical planning with the aid of high quality CBCT scans of the anterior maxilla is advisable.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11180635/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139713452","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of the thickness of masticatory muscles in patients with chronic periodontitis by ultrasonography. 通过超声波检查评估慢性牙周病患者的咀嚼肌厚度。

IF 2.2 3区医学

Oral Radiology Pub Date : 2024-07-01 Epub Date: 2024-04-01 DOI: 10.1007/s11282-024-00746-6

Berkhas Tumani Üstdal, Burcu Evlice, Damla Soydan Çabuk, Hazal Duyan Yüksel, İmran Güner Akgül, Bahar Alkaya, Gökçe Arçay

{"title":"Evaluation of the thickness of masticatory muscles in patients with chronic periodontitis by ultrasonography.","authors":"Berkhas Tumani Üstdal, Burcu Evlice, Damla Soydan Çabuk, Hazal Duyan Yüksel, İmran Güner Akgül, Bahar Alkaya, Gökçe Arçay","doi":"10.1007/s11282-024-00746-6","DOIUrl":"10.1007/s11282-024-00746-6","url":null,"abstract":"Objectives: Periodontitis is one of the most common chronic inflammatory diseases. It causes changes in the biting abilities of individuals. However, periodontal treatment has positive effects on masticatory function. The aim of this study is to determine the effect of periodontitis and periodontal treatment on masticatory abilities by measuring masseter and temporal muscle thicknesses with ultrasonography before and after periodontal treatment in chronic periodontitis patients.Methods: The patients included in the study were determined by clinical and radiological examination. The thickness of the masseter and temporal muscles of the patients were measured by ultrasonography. Periodontal measurements and treatments of the patients were completed by a single physician. IBM SPSS 20.0 (IBM Corp., Armonk, NY) statistical program was used for statistical analysis.Results: A statistically significant difference was found between the values of periodontal measurements before and after treatment (p<0.05). In the ultrasonography measurements of the thickness of masseter and anterior temporal muscles, a statistically significant increase was observed in both rest and contraction values at all time intervals (p<0.05). Muscle thicknesses of male patients were higher than female patients.Conclusions: Periodontitis negatively affects the masticatory performance of individuals. Chronic periodontitis patients should be referred for periodontal treatment without wasting time.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140337766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Artificial intelligence for caries detection: a novel diagnostic tool using deep learning algorithms. 用于龋齿检测的人工智能：使用深度学习算法的新型诊断工具。

IF 2.2 3区医学

Oral Radiology Pub Date : 2024-07-01 Epub Date: 2024-03-18 DOI: 10.1007/s11282-024-00741-x

Yiliang Liu, Kai Xia, Yueyan Cen, Sancong Ying, Zhihe Zhao

{"title":"Artificial intelligence for caries detection: a novel diagnostic tool using deep learning algorithms.","authors":"Yiliang Liu, Kai Xia, Yueyan Cen, Sancong Ying, Zhihe Zhao","doi":"10.1007/s11282-024-00741-x","DOIUrl":"10.1007/s11282-024-00741-x","url":null,"abstract":"Objectives: The aim of this study was to develop an assessment tool for automatic detection of dental caries in periapical radiographs using convolutional neural network (CNN) architecture.Methods: A novel diagnostic model named ResNet + SAM was established using numerous periapical radiographs (4278 images) annotated by medical experts to automatically detect dental caries. The performance of the model was compared to the traditional CNNs (VGG19, ResNet-50), and the dentists. The Gradient-weighted Class Activation Mapping (Grad-CAM) technique shows the region of interest in the image for the CNNs.Results: ResNet + SAM demonstrated significantly improved performance compared to the modified ResNet-50 model, with an average F1 score of 0.886 (95% CI 0.855-0.918), accuracy of 0.885 (95% CI 0.862-0.901) and AUC of 0.954 (95% CI 0.924-0.980). The comparison between the performance of the model and the dentists revealed that the model achieved higher accuracy than that of the junior dentists. With the assist of the tool, the dentists achieved superior metrics with a mean F1 score of 0.827 and the interobserver agreement for dental caries is enhanced from 0.592/0.610 to 0.706/0.723.Conclusions: According to the results obtained from the experiments, the automatic assessment tool using the ResNet + SAM model shows remarkable performance and has excellent possibilities in identifying dental caries. The use of the assessment tool in clinical practice can be of great benefit as a clinical decision-making support in dentistry and reduce the workload of dentists.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140159660","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis. 卷积神经网络与分类算法相结合诊断牙周炎。

IF 2.2 3区医学

Oral Radiology Pub Date : 2024-07-01 Epub Date: 2024-02-23 DOI: 10.1007/s11282-024-00739-5

Fang Dai, Qiangdong Liu, Yuchen Guo, Ruixiang Xie, Jingting Wu, Tian Deng, Hongbiao Zhu, Libin Deng, Li Song

{"title":"Convolutional neural networks combined with classification algorithms for the diagnosis of periodontitis.","authors":"Fang Dai, Qiangdong Liu, Yuchen Guo, Ruixiang Xie, Jingting Wu, Tian Deng, Hongbiao Zhu, Libin Deng, Li Song","doi":"10.1007/s11282-024-00739-5","DOIUrl":"10.1007/s11282-024-00739-5","url":null,"abstract":"Objectives: We aim to develop a deep learning model based on a convolutional neural network (CNN) combined with a classification algorithm (CA) to assist dentists in quickly and accurately diagnosing the stage of periodontitis.Materials and methods: Periapical radiographs (PERs) and clinical data were collected. The CNNs including Alexnet, VGG16, and ResNet18 were trained on PER to establish the PER-CNN models for no periodontal bone loss (PBL) and PBL. The CAs including random forest (RF), support vector machine (SVM), naive Bayes (NB), logistic regression (LR), and k-nearest neighbor (KNN) were added to the PER-CNN model for control, stage I, stage II and stage III/IV periodontitis. Heat map was produced using a gradient-weighted class activation mapping method to visualize the regions of interest of the PER-Alexnet model. Clustering analysis was performed based on the ten PER-CNN scores and the clinical characteristics.Results: The accuracy of the PER-Alexnet and PER-VGG16 models with the higher performance was 0.872 and 0.853, respectively. The accuracy of the PER-Alexnet + RF model with the highest performance for control, stage I, stage II and stage III/IV was 0.968, 0.960, 0.835 and 0.842, respectively. Heat map showed that the regions of interest predicted by the model were periodontitis bone lesions. We found that age and smoking were significantly related to periodontitis based on the PER-Alexnet scores.Conclusion: The PER-Alexnet + RF model has reached high performance for whole-case periodontal diagnosis. The CNN models combined with CA can assist dentists in quickly and accurately diagnosing the stage of periodontitis.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139934491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Accessory lingual mental foramen: A case report of a rare anatomic variation. 附属舌侧精神孔：一例罕见的解剖变异报告。

IF 1.6 3区医学

Oral Radiology Pub Date : 2024-07-01 Epub Date: 2024-03-25 DOI: 10.1007/s11282-024-00747-5

Arjun Kumar Tallada, Junaid Ahmed, Nanditha Sujir, Nandita Shenoy, Shubham M Pawar, Archana Muralidharan, Sanjay Mallya

{"title":"Accessory lingual mental foramen: A case report of a rare anatomic variation.","authors":"Arjun Kumar Tallada, Junaid Ahmed, Nanditha Sujir, Nandita Shenoy, Shubham M Pawar, Archana Muralidharan, Sanjay Mallya","doi":"10.1007/s11282-024-00747-5","DOIUrl":"10.1007/s11282-024-00747-5","url":null,"abstract":"Introduction: The mandibular nerve and the mental foramen have occasionally shown variations in its anatomy. This report aims to present a case of lingual mental foramen recognised on three-dimensional cone beam computed tomographic imaging (CBCT).Case report: Routine Orthopantomogram (OPG) and CBCT images were evaluated to assess the status of impact third molars in a 31-year-old female who had visited the dental clinics in our institution. The OPG image failed to reveal any anatomic variation in the position of the mental foramen. On tracing the course of the mandibular canal in CBCT images, two foramina were traced at the region of premolar. One opened towards the buccal cortical plate at the normal position of the mental foramen and an accessory lingual mental foramen had an opening on the lingual cortical bone at the same level as the mental foramen.Conclusion: Understanding variations of the mental foramen is extremely essential in dentistry to carry out successful anaesthetic or surgical interventions and to avoid complications such as nerve damage or excessive bleeding.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":1.6,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140208363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0