Oral Radiology最新文献

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Can MRI radiomics predict neck metastasis at initial diagnosis in patients with squamous cell carcinoma of the tongue? 核磁共振成像放射组学能否预测舌鳞癌患者初诊时的颈部转移?
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-07-01 Epub Date: 2025-02-18 DOI: 10.1007/s11282-025-00810-9
Arisa Oki, Shin Nakamura, Junichiro Sakamoto, Hiroshi Watanabe, Masahiko Miura
{"title":"Can MRI radiomics predict neck metastasis at initial diagnosis in patients with squamous cell carcinoma of the tongue?","authors":"Arisa Oki, Shin Nakamura, Junichiro Sakamoto, Hiroshi Watanabe, Masahiko Miura","doi":"10.1007/s11282-025-00810-9","DOIUrl":"10.1007/s11282-025-00810-9","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to predict the risk of neck metastasis in patients with tongue squamous cell carcinoma by performing radiomics analysis of preoperative magnetic resonance (MR) images.</p><p><strong>Methods: </strong>In total, 143 patients with primary tongue cancer were enrolled and divided into training and validation groups. The presence of neck metastases was assessed after at least 6-month of follow-up. Using fat-suppressed T2-weighted images, two observers manually set the volume of interest at the tumor site using the 3D Slicer software and extracted 107 image features. The analysis was based on significant differences between patient groups in the presence or absence of neck metastases by the Mann-Whitney U test and good agreement with intra- and inter-observer intra-class correlation coefficients exceeding 0.9. In addition, two characteristics that were determined to be very useful for diagnosing neck metastases were selected by receiver operating characteristic analysis and evaluated for goodness of fit in the validation data.</p><p><strong>Results: </strong>Neck metastases were identified in 57 of 143 patients and divided into 121 training and 22 validation datasets. Using the combined criteria of Major Axis Length of 3D-shape features and Joint Entropy of the gray-level co-occurrence matrix, neck metastases were identified in 80.7% of the cases; the validation data predicted neck metastases in 80% of the cases.</p><p><strong>Conclusions: </strong>MR-imaging texture analysis of the primary tumor helps predict neck metastasis in patients with tongue cancer. The proposed criteria are simple yet useful for identifying groups of patients who may require neck dissection.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"388-395"},"PeriodicalIF":1.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143442919","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 effect of reducing metal artifacts in multi-detector CT imaging of zirconia and titanium implants. 氧化锆和钛植入体多探测器CT成像中减少金属伪影效果的评价。
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-07-01 Epub Date: 2025-03-04 DOI: 10.1007/s11282-025-00814-5
Hideki Suito, Hozumi Yoshihara, Naoki Maeda, Ryosuke Kasai, Tadashi Inoue, Masafumi Amano, Yuuri Oku, Keiko Fujimoto, Kan Nagao
{"title":"Evaluation of the effect of reducing metal artifacts in multi-detector CT imaging of zirconia and titanium implants.","authors":"Hideki Suito, Hozumi Yoshihara, Naoki Maeda, Ryosuke Kasai, Tadashi Inoue, Masafumi Amano, Yuuri Oku, Keiko Fujimoto, Kan Nagao","doi":"10.1007/s11282-025-00814-5","DOIUrl":"10.1007/s11282-025-00814-5","url":null,"abstract":"<p><strong>Objectives: </strong>Zirconia oral implants produce larger artifacts on computed tomography (CT) compared to titanium oral implants. This study aimed to compare the effectiveness of metal artifact reduction (MAR) software and dual-energy (DE) methods, which are used in multi-detector CT (MDCT) to reduce the artifacts produced by titanium and zirconia oral implants.</p><p><strong>Methods: </strong>Oral implants were placed in the lower right second premolar and second molar regions of an acrylic mandible model and evaluated using MDCT. For MAR, Single Energy Metal Artifact Reaction (SEMAR) images were obtained, and for DE, images were obtained at 135 keV. The evaluation was based on 21 regions of interest (ROIs) with sides of 2.8 mm, set at 15, 25, and 35 mm from the center (the lower-right first premolar), with 65°, 90°, 115°, and 145° angles set on the buccal and lingual sides. The evaluation was based on an Artifact Index (AI).</p><p><strong>Results: </strong>The lingual aspect of the AI tended to be larger compared to the buccal aspect, regardless of the image-processing method. In addition, the SEMAR method tended to have a greater artifact reduction effect than the DE method. The distortion of the mandibular model and occurrence of new artifacts were confirmed using SEMAR.</p><p><strong>Conclusions: </strong>SEMAR had higher artifact reduction effects on metal artifacts than the DE method. Although SEMAR and dual-energy methods can effectively reduce metal artifacts, they also cause false images and areas that cannot be observed. Therefore, diagnostic and treatment planning, including imaging, is essential before artifact reduction processing.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"421-429"},"PeriodicalIF":1.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558902","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
Radiomorphometric indices for measuring mandibular bone quality in oncologic patients. 测量肿瘤患者下颌骨质量的放射形态学指标。
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-07-01 Epub Date: 2025-01-20 DOI: 10.1007/s11282-025-00803-8
Mailon Cury Carneiro, Lukas Mendes de Abreu, Laura Vidoto Paludetto, Paulo Sérgio da Silva Santos, Izabel Regina Fischer Rubira-Bullen, Cássia Maria Fischer Rubira
{"title":"Radiomorphometric indices for measuring mandibular bone quality in oncologic patients.","authors":"Mailon Cury Carneiro, Lukas Mendes de Abreu, Laura Vidoto Paludetto, Paulo Sérgio da Silva Santos, Izabel Regina Fischer Rubira-Bullen, Cássia Maria Fischer Rubira","doi":"10.1007/s11282-025-00803-8","DOIUrl":"10.1007/s11282-025-00803-8","url":null,"abstract":"<p><strong>Objective: </strong>This retrospective study compared the thickness and degree of resorption of the mandibular cortex in patients with head and neck cancer (AG), patients with cancer at sites other than the head and neck (BG), and patients with no cancer (CG) to describe and compare the changes in the mandible after antineoplastic therapy and their possible clinical implications.</p><p><strong>Materials and methods: </strong>A total of 287 panoramic radiographs were examined. The following radiomorphometric indices were analyzed: mental index (MI), panoramic mandibular index (PMI), and mandibular cortical index (MCI). Analysis of variance (ANOVA) and the Kruskal‒Wallis test, with p < 0.05 considered significant, were performed.</p><p><strong>Results: </strong>Males predominated in the AG (83%), while females predominated in the BG and CG (78.6 and 62%, respectively). In the AG, tongue carcinoma (22.1%) was prevalent, while in the BG, breast carcinoma was predominant (53.8%). All parameters measured in the AG and BG patients were significantly lower than those in the CG patients: MI (p < 0.001), right PMIc/a (p < 0.001), left PMIc/a (p < 0.001), right PMIc/b (p = 0.004), left PMIc/b (p < 0.001), and MCI (p < 0.001).</p><p><strong>Conclusions: </strong>Radiomorphometric indices MI, PMI, and MCI were significantly lower in panoramic radiographs of patients with head and neck cancer and patients with cancer in other regions of the body than in those of nononcological patients.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"340-348"},"PeriodicalIF":1.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017052","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
Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images. 利用人工智能在锥形束计算机断层扫描图像上对鼻腭管进行分割并检测鼻腭管毛囊状态。
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-07-01 Epub Date: 2025-02-28 DOI: 10.1007/s11282-025-00812-7
Hatice Ahsen Deniz, İbrahim Şevki Bayrakdar, Rana Nalçacı, Kaan Orhan
{"title":"Segmentation of the nasopalatine canal and detection of canal furcation status with artificial intelligence on cone-beam computed tomography images.","authors":"Hatice Ahsen Deniz, İbrahim Şevki Bayrakdar, Rana Nalçacı, Kaan Orhan","doi":"10.1007/s11282-025-00812-7","DOIUrl":"10.1007/s11282-025-00812-7","url":null,"abstract":"<p><strong>Objectives: </strong>The nasopalatine canal (NPC) is an anatomical formation with varying morphology. NPC can be visualized using the cone-beam computed tomography (CBCT). Also, CBCT has been used in many studies on artificial intelligence (AI). The \"You only look once\" (YOLO) is an AI framework that stands out with its speed. This study compared the observer and AI regarding the NPC segmentation and assessment of the NPC furcation status in CBCT images.</p><p><strong>Methods: </strong>In this study, axial sections of 200 CBCT images were used. These images were labeled and evaluated for the absence or presence of the NPC furcation. These images were then divided into three; 160 images were used as the training dataset, 20 as the validation dataset, and 20 as the test dataset. The training was performed by making 800 epochs using the YOLOv5x-seg model.</p><p><strong>Results: </strong>Sensitivity, Precision, F1 score, IoU, mAP, and AUC values were determined for NPC detection, segmentation, and classification of the YOLOv5x-seg model. The values were found to be 0.9680, 0.9953, 0.9815, 0.9636, 0.7930, and 0.8841, respectively, for the group with the absence of the NPC furcation; and 0.9827, 0.9975, 0.9900, 0.9803, 0.9637, and 0.9510, for the group with the presence of the NPC furcation.</p><p><strong>Conclusions: </strong>Our results showed that even when the YOLOv5x-seg model is trained with the NPC furcation and fewer datasets, it achieves sufficient prediction accuracy. The segmentation feature of the YOLOv5 algorithm, which is based on an object detection algorithm, has achieved quite successful results despite its recent development.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"403-413"},"PeriodicalIF":1.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143532254","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 effects of bisphosphonate therapy on the temporomandibular joint using cone beam computed tomography. 应用锥形束计算机断层扫描评价双膦酸盐治疗颞下颌关节的效果。
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-07-01 Epub Date: 2025-03-12 DOI: 10.1007/s11282-025-00816-3
Bilay Stevanovic Sancar, Rümeysa Şendişçi Gök, Selmi Tunç
{"title":"Evaluation of the effects of bisphosphonate therapy on the temporomandibular joint using cone beam computed tomography.","authors":"Bilay Stevanovic Sancar, Rümeysa Şendişçi Gök, Selmi Tunç","doi":"10.1007/s11282-025-00816-3","DOIUrl":"10.1007/s11282-025-00816-3","url":null,"abstract":"<p><strong>Objective: </strong>The aim of this study was to evaluate the mandibular condyle and articular eminences of patients diagnosed with medication-related osteonecrosis of the jawbone (MRONJ) and those who use bisphosphonates (BP) but do not have MRONJ findings, by comparing them with a healthy control group.</p><p><strong>Methods: </strong>The cone beam computed tomography (CBCT) images of 20 patients (15 male, 5 female) who were diagnosed with MRONJ and 20 patients (16 male and 4 female) who were using bisphosphonates but had no MRONJ were included in the study. A control group consisted of 20 age- and gender-matched patients (13 male, 7 female) who had no clinical complaints or signs and symptoms of TMD or rheumatic disease. The imaging characteristics relating to osseous changes of the condyles and in the articular fossa, such as flattening, erosion, osteophytes, subcortical sclerosis, subchondral cyst, loose joint bodies, joint space narrowing, flattening of the articular eminence, and resorption in the articular eminence, were evaluated. SPSS Statistics 20 software was used to statistically evaluate the data collected within the scope of the investigated variables. The results of the analyses were evaluated at 0.05.</p><p><strong>Results: </strong>Analysis of temporomandibular joint osseous changes in the patient and control groups found statistically significantly higher subcortical sclerosis in both the patient group diagnosed with MRONJ and the patient group using BP, compared with the control group. In addition, a statistically significant difference was found between the patient groups and the control group in terms of condylar flattening, articular eminence flattening, and resorption.</p><p><strong>Conclusion: </strong>Understanding the changes in physiological bone remodeling of the mandibular condyle after BP administration is crucial in the development of future treatment modalities for degenerative TMJ diseases that cause condylar bone resorption.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"430-437"},"PeriodicalIF":1.6,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143617931","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
Comparison of image quality between intraoral radiographic images using wall-mounted and handheld dental X-ray units. 壁挂式和手持式口腔x线机口腔内x线图像质量的比较。
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-06-24 DOI: 10.1007/s11282-025-00837-y
Débora Costa Ruiz, Christiano de Oliveira-Santos, Marcela Tarosso Réa, Thaisa Pinheiro Silva, Gustavo Machado Santaella, William C Scarfe, Deborah Queiroz Freitas
{"title":"Comparison of image quality between intraoral radiographic images using wall-mounted and handheld dental X-ray units.","authors":"Débora Costa Ruiz, Christiano de Oliveira-Santos, Marcela Tarosso Réa, Thaisa Pinheiro Silva, Gustavo Machado Santaella, William C Scarfe, Deborah Queiroz Freitas","doi":"10.1007/s11282-025-00837-y","DOIUrl":"https://doi.org/10.1007/s11282-025-00837-y","url":null,"abstract":"<p><strong>Objective: </strong>To compare the quality of intraoral radiographic images of two types of dental detectors using wall-mounted and handheld dental X-ray units.</p><p><strong>Methods: </strong>Six intraoral dental radiographic images of a Dental Digital Quality Assurance radiographic phantom (Dental Imaging Consultants LLC, San Antonio, TX) were acquired with two types of dental receptors: photostimulable phosphor (PSP) receptor (CS 7600 digital system, Carestream Dental, Rochester, New York, United States) under two conditions, filtered and unfiltered; and a complementary metal oxide semiconductor (CMOS) sensor (RGV 6200, Carestream Dental, Rochester, New York, United States) using handheld (Nomad Pro 2; Kavo Kerr, Biberach, Germany) and wall-mounted (Midmark Preva DC Intraoral X-ray, Midmark Corporation, Illinois, United States) dental X-ray units. Spatial and contrast resolutions and percentage of radiographic contrast were evaluated. Then, radiographic images of an acrylic block were obtained under the same conditions and brightness, noise, and uniformity were assessed. Values were compared between the devices and the digital systems with Analysis of Variance (P < 0.05).</p><p><strong>Results: </strong>There were no differences in spatial and contrast resolutions between dental X-ray units and detectors. Handheld dental X-ray units provide significantly higher radiographic contrast (P < 0.001) and lower brightness, noise, and uniformity (P < 0.001) regardless of the digital system used.</p><p><strong>Conclusions: </strong>Compared to a wall-mounted dental X-ray unit, the handheld device provides higher radiographic contrast and lower brightness, noise, and uniformity regardless of the digital system used.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144477986","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-assisted decision-making in third molar assessment using ChatGPT: is it really a valid tool? ChatGPT在第三摩尔评估中的人工智能辅助决策:它真的是一个有效的工具吗?
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-06-20 DOI: 10.1007/s11282-025-00836-z
Nadav Grinberg, Clariel Ianculovici, Sara Whitefield, Shlomi Kleinman, Svetlana Feldman, Oren Peleg
{"title":"Artificial intelligence-assisted decision-making in third molar assessment using ChatGPT: is it really a valid tool?","authors":"Nadav Grinberg, Clariel Ianculovici, Sara Whitefield, Shlomi Kleinman, Svetlana Feldman, Oren Peleg","doi":"10.1007/s11282-025-00836-z","DOIUrl":"10.1007/s11282-025-00836-z","url":null,"abstract":"<p><strong>Objectives: </strong>Artificial intelligence (AI) is becoming increasingly popular in medicine. The current study aims to investigate whether an AI-based chatbot, such as ChatGPT, could be a valid tool for assisting in decision-making when assessing mandibular third molars before extractions.</p><p><strong>Methods: </strong>Panoramic radiographs were collected from a publicly available library. Mandibular third molars were assessed by position and depth. Two specialists evaluated each case regarding the need for CBCT referral, followed by introducing all cases to ChatGPT under a uniform script to decide the need for further CBCT radiographs. The process was performed first without any guidelines, Second, after introducing the guidelines presented by Rood et al. (1990), and third, with additional test cases. ChatGPT and a specialist's decision were compared and analyzed using Cohen's kappa test and the Cochrane-Mantel--Haenszel test to consider the effect of different tooth positions. All analyses were made under a 95% confidence level.</p><p><strong>Results: </strong>The study evaluated 184 molars. Without any guidelines, ChatGPT correlated with the specialist in 49% of cases, with no statistically significant agreement (kappa < 0.1), followed by 70% and 91% with moderate (kappa = 0.39) and near-perfect (kappa = 0.81) agreement, respectively, after the second and third rounds (p < 0.05). The high correlation between the specialist and the chatbot was preserved when analyzed by the different tooth locations and positions (p < 0.01).</p><p><strong>Conclusion: </strong>ChatGPT has shown the ability to analyze third molars prior to surgical interventions using accepted guidelines with substantial correlation to specialists.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144337220","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 effect of dental occlusion on masseter muscle thickness in adolescents: an ultrasonographic evaluation. 咬合对青少年咬肌厚度的影响:超声评价。
IF 1.6 3区 医学
Oral Radiology Pub Date : 2025-06-05 DOI: 10.1007/s11282-025-00833-2
Sema Kaya, Burcin Avci
{"title":"The effect of dental occlusion on masseter muscle thickness in adolescents: an ultrasonographic evaluation.","authors":"Sema Kaya, Burcin Avci","doi":"10.1007/s11282-025-00833-2","DOIUrl":"https://doi.org/10.1007/s11282-025-00833-2","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to investigate the relationship between masseter muscle thickness and variables such as age, gender, dental occlusion, and parafunctional habits in adolescents aged 11-15 years using ultrasonographic measurements.</p><p><strong>Methods: </strong>A total of 168 adolescents aged 11-15 years who were referred to the Department of Oral and Maxillofacial Radiology at Van Yuzuncu Yil University for routine dental examinations participated in this cross-sectional study. Data on parafunctional habits, age, height, and weight were collected. Dental occlusion and tooth loss were documented during clinical examinations. Masseter muscle thickness was measured bilaterally at rest and during contraction using ultrasonography. Statistical analyses included Kolmogorov-Smirnov, Wilcoxon, and Mann-Whitney U tests, with a significance level of p < 0.05.</p><p><strong>Results: </strong>No significant differences in masseter muscle thickness were observed between genders, either at rest or during contraction (p > 0.05). Similarly, muscle thickness did not significantly differ according to dental occlusion or parafunctional habits such as mouth breathing and swallowing (p > 0.05). However, a positive correlation was found between the number of premolar and molar teeth and masseter muscle thickness on the left side during contraction (p = 0.006, r = 0.213).</p><p><strong>Conclusion: </strong>Dental occlusion and parafunctional habits appear to have minimal impact on masseter muscle thickness in adolescents. Ultrasonography provides a reliable and non-invasive method for assessing masseter muscle thickness, supporting its utility in clinical practice.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":""},"PeriodicalIF":1.6,"publicationDate":"2025-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144227774","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
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":"<p><strong>Aim: </strong>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.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","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":"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","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}
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