Oral RadiologyPub Date : 2025-01-01Epub Date: 2024-10-29DOI: 10.1007/s11282-024-00782-2
Hak-Sun Kim, Jaejung Seol, Ji-Yun Lee, Sang-Sun Han, Jaejun Yoo, Chena Lee
{"title":"Style harmonization of panoramic radiography using deep learning.","authors":"Hak-Sun Kim, Jaejung Seol, Ji-Yun Lee, Sang-Sun Han, Jaejun Yoo, Chena Lee","doi":"10.1007/s11282-024-00782-2","DOIUrl":"10.1007/s11282-024-00782-2","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to harmonize panoramic radiograph images from different equipment in a single institution to display similar styles.</p><p><strong>Methods: </strong>A total of 15,624 panoramic images were acquired using two different equipment: 8079 images from Rayscan Alpha Plus (R-unit) and 7545 images from Pax-i plus (P-unit). Among these, 222 image pairs (444 images) from the same patients comprised the test dataset to harmonize the P-unit images with the R-unit image style using CycleGAN. Objective evaluations included Frechet Inception Distance (FID) and Learned Perceptual Image Patch Similarity (LPIPS) assessments. Additionally, expert evaluation was conducted by two oral and maxillofacial radiologists on transformed P-unit and R-unit images. The statistical analysis of LPIPS employed a Student's t-test.</p><p><strong>Results: </strong>The FID and mean LPIPS values of the transformed P-unit images (7.362, 0.488) were lower than those of the original P-unit images (8.380, 0.519), with a significant difference in LPIPS (p < 0.05). The experts evaluated 43.3-46.7% of the transformed P-unit images as R-unit images, 20.0-28.3% as P-units, and 28.3-33.3% as undetermined images.</p><p><strong>Conclusions: </strong>CycleGAN has the potential to harmonize panoramic radiograph image styles. Enhancement of the model is anticipated for the application of images produced by additional units.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"111-119"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142549188","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 : 2025-01-01Epub Date: 2024-09-24DOI: 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":"10.1007/s11282-024-00771-5","url":null,"abstract":"<p><strong>Objective: </strong>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).</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"10-24"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","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}
{"title":"Combined external radiotherapy and single-fraction palliative high-dose-rate interstitial brachytherapy for a patient with a base of tongue cancer who had a previous radiation history.","authors":"Ken Yoshida, Yutaka Tanaka, Satoaki Nakamura, Asami Yoshida, Midori Yui, Kazuki Hirota, Katsuya Maebou, Zeyun Wang, Hideki Takegawa, Yusuke Anetai, Yuhei Koike, Toshiko Shiga, Hironori Akiyama, Naoya Murakami, Airi Asako, Yuhei Ogino, Hitoshi Nishimoto, Takuo Fujisawa, Masao Yagi, Hiroshi Iwai, Noboru Tanigawa","doi":"10.1007/s11282-024-00779-x","DOIUrl":"10.1007/s11282-024-00779-x","url":null,"abstract":"<p><p>Only a few studies have explored whether high-dose-rate interstitial brachytherapy (HDR-ISBT) can be indicated as a palliative/symptomatic treatment. We present the good results of palliative treatment using HDR-ISBT combined with external beam radiotherapy (ERT) in a patient of base of tongue cancer (cT4aN1M0). The patient was an 81-year-old male who complained of local pain. He had a previous irradiation history for head and neck cancer receiving ERT with systemic chemotherapy and radical surgery 15 years ago. Since it might be difficult for him to receive radical radiation doses using ERT alone, palliative ERT of relatively lower doses of 37.5 Gy in 15 fractions was selected. One month after ERT, HDR-ISBT was implemented as a booster. Considering the burden on physical condition, single-fraction HDR-ISBT was selected. We employed a new technique in which we did not penetrate the ventral surface of the tongue to reduce the risk of infection and bleeding. The planning-aim dose was 9.5 Gy. The dose that covered 90% of the clinical target volume was 9.6 Gy. The treatment ended without any problems. Acute complications were not observed. The tumor size decreased, and local pain disappeared at post-treatment day 84. No late complications were observed. Two years and 8 months after the treatment, the patient is alive without any obvious recurrence. Additional single-fraction HDR-ISBT boost may be a useful modality as a palliative/symptomatic intent. The implantation technique and dose-fraction schedule may be important for the safe treatment of older patients or those with poor performance status.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"144-150"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481827","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 : 2025-01-01Epub Date: 2024-09-03DOI: 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":"10.1007/s11282-024-00772-4","url":null,"abstract":"<p><strong>Introductions: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"25-32"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","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}
Oral RadiologyPub Date : 2025-01-01Epub Date: 2024-08-10DOI: 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":"10.1007/s11282-024-00769-z","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"131-143"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","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}
{"title":"Acceptability of artificial intelligence in dental radiology among patients in India: are we ready for this revolution?","authors":"Preeti Chawla Arora, Komaldeep Kaur Sandhu, Aman Arora, Ambika Gupta, Mandavi Waghmare, Vasundhara Rampal","doi":"10.1007/s11282-024-00777-z","DOIUrl":"10.1007/s11282-024-00777-z","url":null,"abstract":"<p><strong>Objective: </strong>In recent times, artificial Intelligence (AI) has gained popularity in medical as well as dental radiology. Studies have been conducted among medical and dental students and professionals about the knowledge and understanding towards AI. The aim of this study was to investigate the perceptions and acceptability of AI in dental radiology among a group of Indian patients seeking dental treatment.</p><p><strong>Methods: </strong>A cross-sectional research was planned with a validated questionnaire, containing ten close ended questions amongst 1562 patients. Their sociodemographic characters, opinions and attitudes regarding AI and feasibility of acceptance of AI-based dental radiological diagnosis among patients was evaluated. The study sample was divided in various groups on the basis of their age; group-1(16-30 years), group-2(31-45 years) and group-3(>45 years), educational status and urban/rural background. Statistical analysis was done by Chi-square test with significance value set at p< 0.005.</p><p><strong>Results-: </strong>The participants possessed impressive knowledge about AI. Patients' awareness, attitudes and acceptability towards AI for dental radiographic diagnosis were substantially influenced by age, education level and residential background. Although many of them, especially the urban and more educated participants believed that AI could be more accurate, they preferred the human judgement. Overall, a negative attitude in terms of acceptability of AI in dental radiology was observed in this study.</p><p><strong>Conclusions: </strong>Participants opined that AI should only be used as an auxiliary tool and valued clinical judgment over AI in ambiguous situations. It is recommended that this promising technological advancement can be used for initial screening in dental radiology.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"69-77"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395616","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 : 2025-01-01Epub Date: 2024-10-08DOI: 10.1007/s11282-024-00776-0
Aslı Soğukpınar Önsüren, Katibe Tuğçe Temur
{"title":"Evaluation of fractal analysis and radiomorphometric measurements of mandibular bone structure in bruxism and non-bruxism paediatric patients.","authors":"Aslı Soğukpınar Önsüren, Katibe Tuğçe Temur","doi":"10.1007/s11282-024-00776-0","DOIUrl":"10.1007/s11282-024-00776-0","url":null,"abstract":"<p><strong>Objectives: </strong>The goal of this examination was to compare the impact of probable sleep/awake bruxism on the mandibular trabecular bone structure by fractal analysis (FA) with digital panoramic radiograph (DPR) and radiomorphometric measurements in paediatric patients with bruxism.</p><p><strong>Methods: </strong>The examination included 130 participants with 63 patients with probable sleep/awake bruxism and 67 control groups. Bilateral regions of interest (ROI) in three regions were examined as ROI1: mandibular ramus, ROI2: mandibular angulus, ROI3: anterior to the molar teeth. Radiomorphometric measurements were taken of the mandibular cortical width (MCW), panoramic mandibular index (PMI), and mandibular cortical index (MCI). p < 0.05 was approved for statistical significance.</p><p><strong>Results: </strong>The ROI-1, ROI-2, and ROI-3 values were defined to be statistically significantly high in the bruxism group (p < 0.05). No significant difference was found between the groups in the other values (p > 0.05). There was no difference in the age and gender for any of the parameters (p > 0.05).</p><p><strong>Conclusion: </strong>In children and adolescents, the mandibular trabecular bone can be affected by bruxism. FA can be used as an auxiliary method for finding the mandibular trabecular differences of patients with bruxism in paediatric dentistry just as it can for adults.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"60-68"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142395617","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 : 2025-01-01Epub Date: 2024-10-15DOI: 10.1007/s11282-024-00778-y
Hiroaki Shimamoto, Doaa Felemban, Yuka Uchimoto, Nobuhiko Matsuda, Naoko Takagawa, Ami Takeshita, Yuri Iwamoto, Ryoko Okahata, Tomomi Tsujimoto, Sven Kreiborg, Sanjay M Mallya, Fan-Pei Gloria Yang
{"title":"Effect of metallic materials on magnetic resonance image uniformity: a quantitative experimental study.","authors":"Hiroaki Shimamoto, Doaa Felemban, Yuka Uchimoto, Nobuhiko Matsuda, Naoko Takagawa, Ami Takeshita, Yuri Iwamoto, Ryoko Okahata, Tomomi Tsujimoto, Sven Kreiborg, Sanjay M Mallya, Fan-Pei Gloria Yang","doi":"10.1007/s11282-024-00778-y","DOIUrl":"10.1007/s11282-024-00778-y","url":null,"abstract":"<p><strong>Objective: </strong>To assess quantitatively the effect of metallic materials on MR image uniformity using a standardized method.</p><p><strong>Methods: </strong>Six types of 1 cm cubic metallic materials (i.e., Au, Ag, Al, Au-Ag-Pd alloy, Ti, and Co-Cr alloy) embedded in a glass phantom filled were examined and compared with no metal condition inserted as a reference. The phantom was scanned five times under each condition using a 1.5-T MR superconducting magnet scanner with an 8-channel phased-array brain coil and head and neck coil. For each examination, the phantom was scanned in three planes: axial, coronal, and sagittal using T1-weighted spin echo (SE) and gradient echo (GRE) sequences in accordance with the American Society for Testing and Materials (ASTM) F2119-07 standard. Image uniformity was assessed using the non-uniformity index (NUI), which was developed by the National Electrical Manufacturers Association (NEMA), as an appropriate standardized measure for investigating magnetic field uniformity.</p><p><strong>Results: </strong>T1-GRE images with Co-Cr typically elicited the lowest uniformity, followed by T1-GRE images with Ti, while all other metallic materials did not affect image uniformity. In particular, T1-GRE images with Co-Cr showed significantly higher NUI values as far as 6.6 cm at maximum equivalent to 11 slices centering around it in comparison with the measurement uncertainty from images without metallic materials.</p><p><strong>Conclusion: </strong>We found that MR image uniformity was influenced by the scanning sequence and coil type when Co-Cr and Ti were present. It is assumed that the image non-uniformity in Co-Cr and Ti is caused by their high magnetic susceptibility.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"78-87"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11723845/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142481828","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 : 2025-01-01Epub Date: 2024-08-14DOI: 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":"10.1007/s11282-024-00770-6","url":null,"abstract":"<p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"1-9"},"PeriodicalIF":1.6,"publicationDate":"2025-01-01","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}
{"title":"Improved soft-tissue visibility on cone-beam computed tomography with an image-generating artificial intelligence model using a cyclic generative adversarial network.","authors":"Motoki Fukuda, Michihito Nozawa, Hironori Akiyama, Eiichiro Ariji, Yoshiko Ariji","doi":"10.1007/s11282-024-00763-5","DOIUrl":"10.1007/s11282-024-00763-5","url":null,"abstract":"<p><strong>Objectives: </strong>The objective of this study was to enhance the visibility of soft tissues on cone-beam computed tomography (CBCT) using a CycleGAN network trained on CT images.</p><p><strong>Methods: </strong>Training and evaluation of the CycleGAN were conducted using CT and CBCT images collected from Aichi Gakuin University (α facility) and Osaka Dental University (β facility). Synthesized images (sCBCT) output by the CycleGAN network were evaluated by comparing them with the original images (oCBCT) and CT images, and assessments were made using histogram analysis and human scoring of soft-tissue anatomical structures and cystic lesions.</p><p><strong>Results: </strong>The histogram analysis showed that on sCBCT, soft-tissue anatomical structures showed significant shifts in voxel intensity toward values resembling those on CT, with the mean values for all structures approaching those of CT and the specialists' visibility scores being significantly increased. However, improvement in the visibility of cystic lesions was limited.</p><p><strong>Conclusions: </strong>Image synthesis using CycleGAN significantly improved the visibility of soft tissue on CBCT, with this improvement being particularly notable from the submandibular region to the floor of the mouth. Although the effect on the visibility of cystic lesions was limited, there is potential for further improvement through refinement of the training method.</p>","PeriodicalId":56103,"journal":{"name":"Oral Radiology","volume":" ","pages":"508-519"},"PeriodicalIF":1.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141473105","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}