Oral RadiologyPub Date : 2023-10-01Epub Date: 2023-07-10DOI: 10.1007/s11282-023-00698-3
Abbas Shokri, Azita Ehsani, Arman Yousefi
{"title":"Prevalence of bifid variations of the mandibular canal in an Iranian population using cone-beam computed tomography.","authors":"Abbas Shokri, Azita Ehsani, Arman Yousefi","doi":"10.1007/s11282-023-00698-3","DOIUrl":"10.1007/s11282-023-00698-3","url":null,"abstract":"<p><strong>Objectives: </strong>Bifid mandibular canal (MC) is an anatomical variation of the MC. This study aimed to assess the prevalence and shape of bifid MC in an Iranian population.</p><p><strong>Materials and methods: </strong>A total of 681 patients who had undergone cone-beam computed tomography (CBCT) for different purposes between 2018 and 2020 were evaluated. After detection, bifid MCs were classified into four types forward, buccolingual, dental, and retromolar. CBCT images were assessed by two oral and maxillofacial radiologists. Data were analyzed by SPSS using an independent t-test and Chi-square test.</p><p><strong>Results: </strong>Bifid MC was found in 23 (3.4%) out of 681 patients, with a mean age of 32.21 years. Ten patients (1.5%) had a bifid MC on the right side, 6 (0.9%) on the left side, and 7 (1%) bilaterally. However, no significant correlation was found between laterality and the prevalence of bifid MC (P > 0.05). Bifid MC was found in 8 males (34.8%) and 15 females (65.2%). Gender had no significant correlation with the prevalence of bifid MC (P > 0.05). Forward type was the most common (n = 8, 1.2%) followed by buccolingual (n = 5, 0.73%), dental (n = 2, 0.3%), and retromolar (n = 1, 0.14%) types.</p><p><strong>Conclusion: </strong>According to the present results, bifid MC was not uncommon in the Iranian population of the present study, and forward type was the most common, followed by buccal and then dental bifid MCs. There was no significant correlation between sex and age with bifid MC but bifid MC was detected more frequently in females than males, and it was seen unilaterally in a higher percentage of the cases.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10279572","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}
{"title":"Accuracy of non-contact semiconductor X-ray analyzer for quality assurance in intraoral radiography: a comparison with ionization chamber dosimeter.","authors":"Shun Nouchi, Hidenori Yoshida, Yusaku Miki, Yasuhito Tezuka, Ruri Ogawa, Ichiro Ogura","doi":"10.1007/s11282-023-00692-9","DOIUrl":"10.1007/s11282-023-00692-9","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of the present study was to evaluate the accuracy of a non-contact semiconductor X-ray analyzer for quality assurance in intraoral radiography, especially a comparison with an ionization chamber dosimeter.</p><p><strong>Methods: </strong>Intraoral radiography was performed with intraoral X-ray unit using the dental protocol at our hospital: tube voltage, 70 kV; tube current, 7 mA. Accuracy of dose and half-value layer (HVL) measurements was analyzed with a non-contact semiconductor X-ray analyzer and an ionization chamber dosimeter. Stability of the semiconductor sensor, effect of scattered radiation, and comparison of measured HVL between the ionization chamber and the semiconductor sensor were analyzed in this study.</p><p><strong>Results: </strong>The values with the semiconductor sensor were tube voltage: 70.3 ± 0.2 kVp (degree of variability: 0.28%), dose: 454.1 ± 12.3 μGy (degree of variability: 2.7%), and HVL: 1.91 ± 0.02 mmAl (degree of variability: 1.0%). With collimator, the dose with the semiconductor sensor and the ionization chamber decreased by 2.3 μ Gy and 5.2 μ Gy, respectively. The measured HVL of the semiconductor dosimeter was more than that of ionization chamber, and the semiconductor dosimeter was less than ionization chamber in variation of between without and with collimator.</p><p><strong>Conclusion: </strong>This study indicated the accuracy of a non-contact semiconductor X-ray analyzer for quality assurance in intraoral radiography, especially a comparison with an ionization chamber dosimeter. The semiconductor sensor can be useful for quality assurance in intraoral radiography.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10282123","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}
Oral RadiologyPub Date : 2023-10-01Epub Date: 2023-04-25DOI: 10.1007/s11282-023-00685-8
Habib Al Hasan, Farhan Hasin Saad, Saif Ahmed, Nabeel Mohammed, Taseef Hasan Farook, James Dudley
{"title":"Experimental validation of computer-vision methods for the successful detection of endodontic treatment obturation and progression from noisy radiographs.","authors":"Habib Al Hasan, Farhan Hasin Saad, Saif Ahmed, Nabeel Mohammed, Taseef Hasan Farook, James Dudley","doi":"10.1007/s11282-023-00685-8","DOIUrl":"10.1007/s11282-023-00685-8","url":null,"abstract":"<p><strong>Purpose: </strong>(1) To evaluate the effects of denoising and data balancing on deep learning to detect endodontic treatment outcomes from radiographs. (2) To develop and train a deep-learning model and classifier to predict obturation quality from radiomics.</p><p><strong>Methods: </strong>The study conformed to the STARD 2015 and MI-CLAIMS 2021 guidelines. 250 deidentified dental radiographs were collected and augmented to produce 2226 images. The dataset was classified according to endodontic treatment outcomes following a set of customized criteria. The dataset was denoised and balanced, and processed with YOLOv5s, YOLOv5x, and YOLOv7 models of real-time deep-learning computer vision. Diagnostic test parameters such as sensitivity (Sn), specificity (Sp), accuracy (Ac), precision, recall, mean average precision (mAP), and confidence were evaluated.</p><p><strong>Results: </strong>Overall accuracy for all the deep-learning models was above 85%. Imbalanced datasets with noise removal led to YOLOv5x's prediction accuracy to drop to 72%, while balancing and noise removal led to all three models performing at over 95% accuracy. mAP saw an improvement from 52 to 92% following balancing and denoising.</p><p><strong>Conclusion: </strong>The current study of computer vision applied to radiomic datasets successfully classified endodontic treatment obturation and mishaps according to a custom progressive classification system and serves as a foundation to larger research on the subject matter.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10504118/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10289139","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}
Oral RadiologyPub Date : 2023-10-01Epub Date: 2023-03-15DOI: 10.1007/s11282-023-00677-8
Andaç Imak, Adalet Çelebi, Onur Polat, Muammer Türkoğlu, Abdulkadir Şengür
{"title":"ResMIBCU-Net: an encoder-decoder network with residual blocks, modified inverted residual block, and bi-directional ConvLSTM for impacted tooth segmentation in panoramic X-ray images.","authors":"Andaç Imak, Adalet Çelebi, Onur Polat, Muammer Türkoğlu, Abdulkadir Şengür","doi":"10.1007/s11282-023-00677-8","DOIUrl":"10.1007/s11282-023-00677-8","url":null,"abstract":"<p><strong>Objective: </strong>Impacted tooth is a common problem that can occur at any age, causing tooth decay, root resorption, and pain in the later stages. In recent years, major advances have been made in medical imaging segmentation using deep convolutional neural network-based networks. In this study, we report on the development of an artificial intelligence system for the automatic identification of impacted tooth from panoramic dental X-ray images.</p><p><strong>Methods: </strong>Among existing networks, in medical imaging segmentation, U-Net architectures are widely implemented. In this article, for dental X-ray image segmentation, blocks and convolutional block structures using inverted residual blocks are upgraded by taking advantage of U-Net's network capacity-intensive connections. At the same time, we propose a method for jumping connections in which bi-directional convolution long short-term memory is used instead of a simple connection. Assessment of the proposed artificial intelligence model performance was evaluated with accuracy, F1-score, intersection over union, and recall.</p><p><strong>Results: </strong>In the proposed method, experimental results are obtained with 99.82% accuracy, 91.59% F1-score, 84.48% intersection over union, and 90.71% recall.</p><p><strong>Conclusion: </strong>Our findings show that our artificial intelligence system could help with future diagnostic support in clinical practice.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10281127","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}
Oral RadiologyPub Date : 2023-10-01DOI: 10.1007/s11282-023-00708-4
Kyriaki Seremidi, Anastasia Mitsea, William Papaioannou, Konstantina Petroleka, Sotiria Gizani
{"title":"Correction: Assessing quality and quantity of cortical bone in childhood cancer survivors using anthropometric indices.","authors":"Kyriaki Seremidi, Anastasia Mitsea, William Papaioannou, Konstantina Petroleka, Sotiria Gizani","doi":"10.1007/s11282-023-00708-4","DOIUrl":"10.1007/s11282-023-00708-4","url":null,"abstract":"","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10262462","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}
Oral RadiologyPub Date : 2023-10-01Epub Date: 2023-06-17DOI: 10.1007/s11282-023-00694-7
Qiaoyu Cheng, Xin Xiong, Yaqi Li, Chuqiao Xiao, Sophie Lau Rui Han, Peidi Fan, Xueman Zhou, Jun Wang
{"title":"Enlarged occipital spur and craniofacial morphology: a cephalometric analysis.","authors":"Qiaoyu Cheng, Xin Xiong, Yaqi Li, Chuqiao Xiao, Sophie Lau Rui Han, Peidi Fan, Xueman Zhou, Jun Wang","doi":"10.1007/s11282-023-00694-7","DOIUrl":"10.1007/s11282-023-00694-7","url":null,"abstract":"<p><strong>Objective: </strong>This cross-sectional study aimed to investigate the association between the occipital spur length and craniofacial morphology in individuals with occipital spur (OS).</p><p><strong>Methods: </strong>The study included cephalometric images from 451 individuals (196 females, 255 males, age range was 9-84 years). The spur length and craniofacial characteristics were evaluated using cephalograms. Based on spur length, subjects were divided into two groups: the OS group (N = 209) and the enlarged occipital spur (EOS) group (N = 242). Descriptive statistics, Independent T-test, Mann-Whitney U test, chi-square test, Kruskal-Wallis test, and age- and sex-based stratified analyses were performed. The level of significance was set at p < 0.05.</p><p><strong>Results: </strong>Males had significantly larger spur length than females. Spur length was shorter in individuals under 18 than the groups over 18. After adjusting for gender and age, ramus height, mandibular body length, effective length of maxilla, effective length of mandible, anterior cranial base length, posterior cranial base length, anterior facial height, posterior facial height, facial height index, and lower anterior facial height had statistically significant differences between OS group and EOS group.</p><p><strong>Conclusions: </strong>Males exhibit greater spur length than females. Patients under 18 had a shorter spur length than adults. Linear craniofacial measurements were found to be greater in subjects with EOS than the individuals with OS. The craniofacial growth and development of an individual might be associated with EOS. The causal relationship between EOS and craniofacial development requires further longitudinal studies.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10627946","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}
{"title":"Comparison of accuracy cone-beam computed tomography and digital bitewing radiography for detection of recurrent caries under various restorative materials: in vitro study.","authors":"Fatemehzahra Talachi, Farida Abesi, Fariba Ezoji, Soleiman Mahjoub, Hakimeh Ghorbani, Ali Bijani","doi":"10.1007/s11282-023-00690-x","DOIUrl":"10.1007/s11282-023-00690-x","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to compare and evaluate diagnostic accuracy of two different CBCT scan modes and digital bitewing radiography for detection of recurrent caries under five different restorative materials, and determine the relationship between the types of restorative materials.</p><p><strong>Materials and methods: </strong>In this in vitro study, 200 caries-free upper and lower premolars and molars were selected. A standard deep Class II cavities was created in the middle of the mesial surface of all teeth. In 100 teeth of the experimental and control groups, secondary caries was artificially demineralized. All teeth were filled with five types of restorative material including two types of conventional composite resins, flow composite resin, glass ionomer and amalgam. The teeth were imaged with high resolution (HIRes) and standard CBCT scan modes and digital bitewing. The AUC, sensitivity, specificity and areas under the ROC curve were calculated and verified through SPSS.</p><p><strong>Results: </strong>CBCT technique was the best option in diagnosing recurrent caries. The diagnostic accuracy and specificity of HIRes CBCT scan mode was significantly higher than standard mode (P = 0.031) and bitewing (P = 0.029) for detection of recurrent caries, especially under composite group. There were no significant differences in accuracy value of bitewing and standard CBCT scan mode.</p><p><strong>Conclusion: </strong>CBCT showed higher accuracy and specificity on the detection of recurrent caries which was more accurate than bitewing radiography. The HIRes CBCT scan mode achieved the highest accuracy and performed the best in recurrent caries detection.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10279005","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}
Oral RadiologyPub Date : 2023-10-01Epub Date: 2023-08-18DOI: 10.1007/s11282-023-00706-6
Gokce Aykol-Sahin, Belde Arsan
{"title":"Furcation area and root proximity of molars as a risk indicator of periodontitis: a cone‑beam computed tomography-based study.","authors":"Gokce Aykol-Sahin, Belde Arsan","doi":"10.1007/s11282-023-00706-6","DOIUrl":"10.1007/s11282-023-00706-6","url":null,"abstract":"<p><strong>Objectives: </strong>This study assessed the root proximity in molars and the furcation area (FA) in the first root separation point (RSP) using cone‑beam computed tomography (CBCT) and evaluated the association between the furcation area of molars and periodontal status of the patients.</p><p><strong>Methods: </strong>A total of 264 molar teeth in 66 participants were included in the study. The control group consisted of 110 molar teeth of participants, and 154 molar teeth were included in periodontitis group, which consisted of only stage II and III periodontitis patients. FA, RSP, and root proximities were measured in axial slices, and bone resorption rates were measured in sagittal slices.</p><p><strong>Results: </strong>Both maxillary and mandibular molar groups had significantly less FA in periodontitis group than in controls (p < 0.005), and there were significant relationships between the degree of bone resorption in molars and FA and furcation grades (p < 0.001). According to regression analysis, the risk of periodontitis increased by 1.011 times as total FA decreased (p < 0.001), and periodontitis risk of maxillary molar was 1.693 times higher than mandibular molars but not found to be statistically significant (p = 0.152). When assessing the root proximity between molar teeth, maxillary molars showed significantly higher root proximity in CEJs than mandibular molars in both periodontitis and control groups (p < 0.05).</p><p><strong>Conclusions: </strong>The results indicate that the association between FA and the degree of bone resorption and root proximity of maxillary molars might be considered as a risk indicator for bone resorption in molars and might play a role during disease progression.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10334825","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}
{"title":"Assessment of the diagnostic accuracy of strip and furcal perforations in different sizes by cone beam computed tomography.","authors":"Zahra Ghoncheh, Hanieh Kaviani, Sara Soleimani, Shifteh Nasri, Fatemeh Malekpour, Farzaneh Afkhami","doi":"10.1007/s11282-023-00681-y","DOIUrl":"10.1007/s11282-023-00681-y","url":null,"abstract":"<p><strong>Objective: </strong>Root perforation is an adverse event that may accidentally occur during root canal treatment and can adversely affect the treatment plan and tooth prognosis. This study aimed to assess the accuracy of cone beam computed tomography (CBCT) for detecting the strip and furcal perforations with different sizes.</p><p><strong>Methods: </strong>The mesiolingual canals of 155 extracted human mandibular first molars were instrumented and randomly divided into four experimental groups and one control group (n = 31). Furcal (in the pulp chamber floor) and strip perforations with 0.5, 1, 1.5, and 2 mm in diameter were manually created. The teeth were randomly mounted in bovine ribs and scanned using CBCT. Two radiologists unaware of the study groups observed the images and reported the greatest perforation diameter. The inter-observer agreements were calculated. The diagnostic accuracy was compared for furcal and strip perforations with different sizes.</p><p><strong>Results: </strong>The inter-observer agreement for detecting furcal and strip perforations with different sizes were good. The diagnostic accuracy was 100% for the absence of perforation in each group.</p><p><strong>Conclusions: </strong>CBCT can detect the absence of perforation with high accuracy. The diagnostic accuracy of CBCT in the presence of strip and furcal perforation with different sizes was not significant.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10278861","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}
Oral RadiologyPub Date : 2023-10-01Epub Date: 2023-05-21DOI: 10.1007/s11282-023-00687-6
Aslihan Artas, Eda Didem Yalcin
{"title":"Evaluation of the validity of mental foramen USG measurements by comparison with CBCT and determination of blood flow.","authors":"Aslihan Artas, Eda Didem Yalcin","doi":"10.1007/s11282-023-00687-6","DOIUrl":"10.1007/s11282-023-00687-6","url":null,"abstract":"<p><strong>Objectives: </strong>To examine mental foramen (MF) morphology and morphometry in comparison with ultrasonography (USG) and cone-beam computed tomography (CBCT), and to determine the relationship between mental artery blood flow parameters and age, gender, dental status, alveolar crest height, mandibular cortical index (MCI) with USG.</p><p><strong>Methods: </strong>A total of 120 MF and mental arteries of 60 patients (21 males and 39 females), including 20 patients in each group, aged 18-39, 40-59, and 60 years and above, were evaluated. The horizontal and vertical diameter of the MF and the distance between it and the alveolar crest were evaluated with USG and CBCT. In addition, mental artery blood flow parameters were examined by USG.</p><p><strong>Results: </strong>When the horizontal diameter values of MF were compared in USG and CBCT measurements; the diameter was significantly lower in the measurements obtained by USG (p < 0.05). It was observed that there were no mental arteries whose blood flow could not be recorded, 31 (25.8%) had strong blood flow and 89 (74.2%) had weak blood flow. No significant correlation was observed between gender and blood flow parameters (p > 0.05).</p><p><strong>Conclusions: </strong>Considering that CBCT images are used as gold standard in our study, it may be said that USG is not as reliable as CBCT in evaluating the MF dimensions in the maxillofacial region. Nevertheless, USG is a suitable technique for determining the visualizing and blood flow of the MF.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":null,"pages":null},"PeriodicalIF":2.2,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10331609","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}