Oral Radiology最新文献

Deploying a novel deep learning framework for segmentation of specific anatomical structures on cone-beam CT. 部署一种新的深度学习框架，用于锥形束CT上特定解剖结构的分割。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-30 DOI: 10.1007/s11282-025-00831-4

Fatma Yuce, Cansu Buyuk, Elif Bilgir, Özer Çelik, İbrahim Şevki Bayrakdar

{"title":"Deploying a novel deep learning framework for segmentation of specific anatomical structures on cone-beam CT.","authors":"Fatma Yuce, Cansu Buyuk, Elif Bilgir, Özer Çelik, İbrahim Şevki Bayrakdar","doi":"10.1007/s11282-025-00831-4","DOIUrl":"https://doi.org/10.1007/s11282-025-00831-4","url":null,"abstract":"Aim: Cone-beam computed tomography (CBCT) imaging plays a crucial role in dentistry, with automatic prediction of anatomical structures on CBCT images potentially enhancing diagnostic and planning procedures. This study aims to predict anatomical structures automatically on CBCT images using a deep learning algorithm.Materials and methods: CBCT images from 70 patients were analyzed. Anatomical structures were annotated using a regional segmentation tool within an annotation software by two dentomaxillofacial radiologists. Each volumetric dataset comprised 405 slices, with relevant anatomical structures marked in each slice. Seventy DICOM images were converted to Nifti format, with seven reserved for testing and the remaining sixty-three used for training. The training utilized nnUNetv2 with an initial learning rate of 0.01, decreasing by 0.00001 at each epoch, and was conducted for 1000 epochs. Statistical analysis included accuracy, Dice score, precision, and recall results.Results: The segmentation model achieved an accuracy of 0.99 for nasal fossa, maxillary sinus, nasopalatine canal, mandibular canal, foramen mentale, and foramen mandible, with corresponding Dice scores of 0.85, 0.98, 0.79, 0.73, 0.78, and 0.74, respectively. Precision values ranged from 0.73 to 0.98. Maxillary sinus segmentation exhibited the highest performance, while mandibular canal segmentation showed the lowest performance.Conclusion: The results demonstrate high accuracy and precision across most structures, with varying Dice scores indicating the consistency of segmentation. Overall, our segmentation model exhibits robust performance in delineating anatomical features in CBCT images, promising potential applications in dental diagnostics and treatment planning.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188475","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

The use of ultrasonography in dentistry: a bibliometric analysis. 超声检查在牙科中的应用：文献计量学分析。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-30 DOI: 10.1007/s11282-025-00830-5

Sedef Kotanli, Mehmet Emin Aydemir, Mehmet Emin Dogan, Mehmet Veysel Kotanli

{"title":"The use of ultrasonography in dentistry: a bibliometric analysis.","authors":"Sedef Kotanli, Mehmet Emin Aydemir, Mehmet Emin Dogan, Mehmet Veysel Kotanli","doi":"10.1007/s11282-025-00830-5","DOIUrl":"https://doi.org/10.1007/s11282-025-00830-5","url":null,"abstract":"Objectives: In this bibliometric analysis, various parameters such as leading journals, universities, countries, authors and keywords related to the use of ultrasonography (USG) in dentistry were analysed with the help of bibliometric mapping, aiming to help researchers evaluate scientific results on this subject and design future research.Methods: In this bibliometric analysis, using the Web of Science (WoS) database various factors such as publication date, number of citations, publication language, journals published, countries, and keywords of articles covering research on the use of USG in dentistry between 1981 and 2024 were examined.Results: It has been determined that the number of articles and citations regarding the use of USG in dentistry is increasing day by day. While 6 articles were published in this field in 2000, 94 publications were made in 2023. While 25 citations were made in 2000 for articles published on the use of USG in dentistry, this number reached 2334 in 2023. The country with the most publications in this field was the USA, and the journal with the most publications was Dentomaxillofacial Radiology.Conclusion: The findings of this current analysis may help researchers categorize scientific conclusions regarding the use of USG in dentistry and thus select issues to examine when designing future research.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144188476","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

Chronic inflammation-induced pseudoankylosis of the temporomandibular joint: a case report. 慢性炎症引起的颞下颌关节假性强直1例。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-29 DOI: 10.1007/s11282-025-00834-1

JaeSeo Lee, Suk-Ja Yoon

引用次数: 0

Improving TMJ MRI diagnostics in juvenile idiopathic arthritis: a comparative evaluation of image enhancement filters. 改善青少年特发性关节炎的TMJ MRI诊断：图像增强滤波器的比较评价。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-23 DOI: 10.1007/s11282-025-00832-3

Ana Carla Raphaelli Nahás, Alessandra Motta Streva, Francis Damico Siqueira, Ariani Suzy de Lima Oliveira Silva, Helio Doyle Pereira da Silva, Thasia Luiz Dias Ferreira, Simone Appenzeller, Andre Luiz Ferreira Costa

{"title":"Improving TMJ MRI diagnostics in juvenile idiopathic arthritis: a comparative evaluation of image enhancement filters.","authors":"Ana Carla Raphaelli Nahás, Alessandra Motta Streva, Francis Damico Siqueira, Ariani Suzy de Lima Oliveira Silva, Helio Doyle Pereira da Silva, Thasia Luiz Dias Ferreira, Simone Appenzeller, Andre Luiz Ferreira Costa","doi":"10.1007/s11282-025-00832-3","DOIUrl":"https://doi.org/10.1007/s11282-025-00832-3","url":null,"abstract":"Objectives: To assess the effectiveness of two enhancement filters for magnetic resonance images of temporomandibular joint (TMJ) in patients with juvenile idiopathic arthritis (JIA).Material: Magnetic resonance image (MRI) of 44 patients with JIA (15 males and 29 females) was analysed using OnDemand 3D® software. Two experienced evaluators who were previously calibrated and blinded to the images assessed them subjectively regarding the use of Sharpen 1 and Sharpen 2 filters. The quality of the images after using the two different enhancement filters was compared to each other as well as to images without filter.Results: There was no statistically significant difference between Sharpen 1 and Sharpen 2 filters. Both filters provided significantly better images compared to images without filter (P = 0.000), resulting in a greater constancy of images with excellent diagnostic conditions. As for the evaluation of the articular eminences, Sharpen 2 filter provided images with better sharpness, despite the lack of a statistically significant difference.Conclusion: The use of enhancement filters in MRI of patients with JIA was shown to be a valuable means to improve the diagnostic quality. Both Sharpen 1 and Sharpen 2 filters significantly enhanced the visualisation of mandibular condyles and articular eminences, thus potentially facilitating the detection and follow-up of JIA-related changes in these structures.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144133384","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

Improving Hounsfield Unit accuracy in dental CBCT through the integration of 2D anti-scatter grid. 通过二维反散射网格集成提高牙科CBCT的Hounsfield单元精度。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-16 DOI: 10.1007/s11282-025-00824-3

Ryan Sabounchi, Uttam Pyakurel, Farhang Bayat, Mohamed Eldib, Bahadir Ozus, Benjamin Crockett, Cem Altunbas

{"title":"Improving Hounsfield Unit accuracy in dental CBCT through the integration of 2D anti-scatter grid.","authors":"Ryan Sabounchi, Uttam Pyakurel, Farhang Bayat, Mohamed Eldib, Bahadir Ozus, Benjamin Crockett, Cem Altunbas","doi":"10.1007/s11282-025-00824-3","DOIUrl":"https://doi.org/10.1007/s11282-025-00824-3","url":null,"abstract":"Objective: Lack of Hounsfield Unit (HU) accuracy leads to misrepresentation of tissue densities and causes image artifacts in dental cone beam computed tomography (CBCT) images. This work investigates the improvement in HU accuracy in dental CBCT by suppressing scatter with a novel two-dimensional anti-scatter grid (2D ASG) approach.Methods: A 2D ASG prototype was developed and integrated into an experimental CBCT system, emulating dental CBCT geometry. CBCT scans were acquired using a multidetector CT (MDCT), a clinical dental CBCT, and the proposed 2D ASG-based experimental CBCT system. Subsequently, HU accuracy, nonuniformity, and contrast-to-noise ratio (CNR) were evaluated in image quality phantoms benchmarked against MDCT images. The effect of scatter suppression on the implant-induced HU degradation was also studied.Results: 2D ASG reduced scatter content up to a factor of 6.6 in CBCT scans and HU nonuniformity in soft tissue-like regions was reduced from 23 to 4 HU. HU errors in high-density structures were within 65 HU of values measured in the gold standard MDCT images. Robust scatter suppression also reduced streak artifacts caused by implants. CNR increased up to 47% in images acquired with the 2D ASG.Conclusion: HU accuracy in dental CBCT may reach the accuracy of MDCT with the proposed 2D ASG. Moreover, artifacts are reduced, and contrast visualization can be improved. Hence, this approach may enable a more accurate assessment of tissue densities in CBCT images, and improved image quality may positively impact the diagnostic capabilities of dental CBCT systems.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144082273","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 in dentistry: awareness among dentists and computer scientists. 牙科中的人工智能：牙医和计算机科学家的意识。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-16 DOI: 10.1007/s11282-025-00828-z

Eliana Dantas Costa, Marcela Amanda Vieira, Glaucia Maria Bovi Ambrosano, Hugo Gaêta-Araujo, José Andery Carneiro, Breno Augusto Guerra Zancan, Alexander Scaranti, Alessandra Alaniz Macedo, Camila Tirapelli

{"title":"Artificial intelligence in dentistry: awareness among dentists and computer scientists.","authors":"Eliana Dantas Costa, Marcela Amanda Vieira, Glaucia Maria Bovi Ambrosano, Hugo Gaêta-Araujo, José Andery Carneiro, Breno Augusto Guerra Zancan, Alexander Scaranti, Alessandra Alaniz Macedo, Camila Tirapelli","doi":"10.1007/s11282-025-00828-z","DOIUrl":"https://doi.org/10.1007/s11282-025-00828-z","url":null,"abstract":"Objectives: For clinical application of artificial intelligence (AI) in dentistry, collaboration with computer scientists is necessary. This study aims to evaluate the knowledge of dentists and computer scientists regarding the utilization of AI in dentistry, especially in dentomaxillofacial radiology.Methods: 610 participants (374 dentists and 236 computer scientists) took part in a survey about AI in dentistry and radiographic imaging. Response options contained Likert scale of agreement/disagreement. Descriptive analyses of agreement scores were performed using quartiles (minimum value, first quartile, median, third quartile, and maximum value). Non-parametric Mann-Whitney test was used to compare response scores between two categories (α = 5%).Results: Dentists academics had higher agreement scores for the questions: \"knowing the applications of AI in dentistry\", \"dentists taking the lead in AI research\", \"AI education should be part of teaching\", \"AI can increase the price of dental services\", \"AI can lead to errors in radiographic diagnosis\", \"AI can negatively interfere with the choice of Radiology specialty\", \"AI can cause a reduction in the employment of radiologists\", \"patient data can be hacked using AI\" (p < 0.05). Computer scientists had higher concordance scores for the questions \"having knowledge in AI\" and \"AI's potential to speed up and improve radiographic diagnosis\".Conclusion: Although dentists acknowledge the potential benefits of AI in dentistry, they remain skeptical about its use and consider it important to integrate the topic of AI into dental education curriculum. On the other hand, computer scientists confirm technical expertise in AI and recognize its potential in dentomaxillofacial radiology.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144082271","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

Association between 3D characteristics of single unilaterally impacted mesiodens and root development of adjacent maxillary central incisors: a retrospective study with cone-beam computed tomography. 单侧阻生中牙三维特征与邻近上颌中切牙牙根发育的关系：锥束计算机断层扫描的回顾性研究。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-14 DOI: 10.1007/s11282-025-00829-y

Shengjun Yang, Ben Lu, Jingyi Liu, Haochuan Yang, Yuan Si, Dongmiao Wang

{"title":"Association between 3D characteristics of single unilaterally impacted mesiodens and root development of adjacent maxillary central incisors: a retrospective study with cone-beam computed tomography.","authors":"Shengjun Yang, Ben Lu, Jingyi Liu, Haochuan Yang, Yuan Si, Dongmiao Wang","doi":"10.1007/s11282-025-00829-y","DOIUrl":"https://doi.org/10.1007/s11282-025-00829-y","url":null,"abstract":"Objectives: This study aimed to evaluate the detrimental effects of single unilaterally impacted mesiodens on the root development of adjacent maxillary central incisors and to explore the key influencing factors.Methods: A total of 552 patients aged 5-12 years with single unilaterally impacted mesiodens were included in the study. The maxillary central incisor with greater overlap with the mesiodens in the coronal view was identified as the affected tooth, while the contralateral central incisor served as the control one. Cone-beam computed tomography (CBCT) data for these patients were retrospectively analyzed to compare the root lengths and root formation stages of the maxillary central incisors on both sides. Multivariate logistic regression and generalized linear models were used to investigate the critical 3-dimensional (3D) characteristics that influence the root development of adjacent maxillary central incisors.Results: Maxillary central incisors on the affected side exhibited significantly shorter root lengths and less-advanced root formation stages compared to those on the control side. Impacted mesiodens with tuberculate or germ morphology, normal or undefined orientation, and a position superior to dental cervix of contralateral central incisor were associated with higher risk of impairing root development of adjacent central incisors.Conclusions: Impacted mesiodens can impair the root development of adjacent central incisors. Early removal of high-risk mesiodens is essential for safeguarding the future development of adjacent maxillary central incisors.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144041646","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

Evaluation of the long-term structural change caused by root canal treatment in the bone around the tooth by fractal analysis. 用分形分析评价根管治疗引起的牙周骨长期结构变化。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-06 DOI: 10.1007/s11282-025-00825-2

Gulsun Akay, Umut Pamukcu, Ozge Karadag Atas

{"title":"Evaluation of the long-term structural change caused by root canal treatment in the bone around the tooth by fractal analysis.","authors":"Gulsun Akay, Umut Pamukcu, Ozge Karadag Atas","doi":"10.1007/s11282-025-00825-2","DOIUrl":"https://doi.org/10.1007/s11282-025-00825-2","url":null,"abstract":"Objective: To evaluate the microarchitecture changes in the trabecular bone around (mesial and distal) the tooth after root canal treatment on panoramic radiographs by measuring the fractal dimension (FD) value change with fractal analysis (FA).Methods: One hundred two patients (69 females, 33 males) with a mean age of 33.12 (18-69) years were included. These patients had a clinically healthy, radiologically successful root canal-treated mandibular premolar/molar tooth treated at least 1 year ago. A healthy, untreated contralateral tooth with the same tooth number had to be present (control tooth). Patients were divided into four groups according to their ages (18-24, 25-34, 35-44, and 45 +), teeth into three groups according to treatment time (1-3 years, 4-6 years, and 7-8 years), and three groups according to tooth number (35-45, 36-46, 37-47). FD measurements were made at two rectangular Region of Interest (ROI) with 20 × 60 pixels selected on the mesial and distal of the root with the Image J version 1.3 software program on panoramic radiographs. The comparison of the FD values of the treated and control teeth was performed via the Wilcoxon signed ranks test.Results: The FD values of mesial and distal regions of root canal-treated molars were statistically significantly higher than the control teeth (p < 0.05). The treatment time, tooth number, and sex and age of the patients did not have a statistically significant effect on the increase in FD value (p > 0.05). There was a correlation between the mesial FD value changing and treatment year (r = - 0.21, p = 0.035).Conclusion: After the first year of root canal treatment, quantitatively measurable structural changes were observed in the trabecular bone in both the mesial and distal regions of the tooth in all age groups and sexes in the posterior teeth of the mandible.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144060986","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

Radiomics-based classification of medication-related osteonecrosis of the jaw using panoramic radiographs. 基于放射组学的颌骨药物相关性骨坏死的全景x线片分类。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-05 DOI: 10.1007/s11282-025-00826-1

Masaru Konishi, Hiromi Nishi, Hiroyuki Kawaguchi, Naoya Kakimoto

{"title":"Radiomics-based classification of medication-related osteonecrosis of the jaw using panoramic radiographs.","authors":"Masaru Konishi, Hiromi Nishi, Hiroyuki Kawaguchi, Naoya Kakimoto","doi":"10.1007/s11282-025-00826-1","DOIUrl":"https://doi.org/10.1007/s11282-025-00826-1","url":null,"abstract":"Objectives: Medication-related osteonecrosis of the jaw (MRONJ) caused by bone resorption inhibitors is difficult to treat and reduces the patient's quality of life. We aimed to classify the likelihood of MRONJ development using panoramic radiographs taken prior to bone resorption inhibitor administration.Methods: We included patients who underwent panoramic radiographic evaluation at Hiroshima University Hospital prior to bone resorption inhibitor administration. Thirty-two patients with MRON of the mandible (16 men and 16 women) and 57 without MRONJ (23 men and 34 women) were selected. The mandible was segmented from the mental foramen to the anterior mandibular angle notch on panoramic radiographs before treatment. The image features within this region were extracted and quantified. Overall, 13 shape, 18 histogram-based, 75 texture-based, and 744 wavelet features were extracted. Least absolute shrinkage and selection operator regression were used to select relevant features from the extracted data. Support vector machine (SVM) and neural network of multilayer perceptron (MLP) were used as machine-learning models. The sensitivity, specificity, and area under the curve (AUC) from the receiver operating characteristic curves were used to evaluate diagnostic performances.Results: The SVM model achieved a sensitivity of 0.667, a specificity of 0.833, and an AUC of 0.903 in the test group. Meanwhile, the MLP model achieved a sensitivity of 0.833, a specificity of 0.750, and an AUC of 0.903 in the test group.Conclusion: Radiomics analysis of panoramic radiographs taken before bone resorption inhibitor administration can differentiate between patients with MRONJ and those without MRONJ.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144063471","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

The diagnostic accuracy of cone-beam computed tomography for assessing in vitro osseous alterations of the mandibular condyle: a systematic review and meta-analysis. 锥形束计算机断层扫描对评估下颌髁离体骨改变的诊断准确性：一项系统回顾和荟萃分析。

IF 1.6 3区医学

Oral Radiology Pub Date : 2025-05-02 DOI: 10.1007/s11282-025-00821-6

Nur Al Amin, Taseef Hasan Farook, Fahmi Oscandar, Mohd Faizal Abdullah, Norliza Binti Ibrahim, Sumaiya Zabin Eusufzai, Johari Yap Abdullah

{"title":"The diagnostic accuracy of cone-beam computed tomography for assessing in vitro osseous alterations of the mandibular condyle: a systematic review and meta-analysis.","authors":"Nur Al Amin, Taseef Hasan Farook, Fahmi Oscandar, Mohd Faizal Abdullah, Norliza Binti Ibrahim, Sumaiya Zabin Eusufzai, Johari Yap Abdullah","doi":"10.1007/s11282-025-00821-6","DOIUrl":"https://doi.org/10.1007/s11282-025-00821-6","url":null,"abstract":"Objective: To determine the diagnostic accuracy of cone-beam computed tomography (CBCT) in detecting simulated bony changes in the mandibular condyle by assessing the sensitivity and specificity.Methods: This review adhered to PRISMA guidelines. Following predefined eligibility criteria, a search was conducted in four electronic databases in June 2024. The study-level risk of bias was assessed using a diagnostic test accuracy checklist provided by the Joanna Briggs Institute. Pooled estimates of sensitivity and specificity were calculated using a bivariate random-effects model.Results: Among 1,803 potentially eligible references, six met the inclusion criteria for qualitative synthesis, and three for meta-analysis. The meta-analysis revealed that the index test, CBCT, had a low pooled sensitivity of 0.54 and a high specificity of 0.93 for detecting simulated defects of the mandibular condyle. Computed tomography exhibited a lower sensitivity of 0.37, but similar specificity of 0.93 like CBCT. Out of the six studies, five were found to have a low risk of bias.Conclusions: Cone-beam computed tomography is found to be more accurate than other modalities for detecting condylar bony changes, effectively ruling out false positives, but with a risk of missing true positives. A smaller field of view and voxel size may provide more accurate detection.","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144013877","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