Search Results (132)

Background: Periodontitis is a multifactorial disease leading to the loss of clinical attachment and alveolar bone. The diagnosis of periodontitis involves a clinical examination and radiographic evaluation, including panoramic images. Panoramic radiographs are cost-effective methods widely used in periodontitis classification. The remaining bone height (RBH) is a parameter used to assess the alveolar bone level. Large language models are widely utilized in the medical sciences. ChatGPT, the leading conversational model, has recently been extended to process visual data. The aim of this study was to assess the effectiveness of the ChatGPT models 4.5, o1, o3 and o4-mini-high in RBH measurement and tooth counts in relation to dental professionals’ evaluations. Methods: The analysis was based on 10 panoramic images, from which 252, 251, 246 and 271 approximal sites were qualified for the RBH measurement (using the models 4.5, o1, o3 and o4-mini-high, respectively). Three examiners were asked to independently evaluate the RBH in approximal sites, while the tooth count was achieved by consensus. Subsequently, the results were compared with the ChatGPT outputs. Results: ChatGPT 4.5, ChatGPT o3 and ChatGPT o4-mini-high achieved substantial agreement with clinicians in the assessment of tooth counts (κ = 0.65, κ = 0.66, κ = 0.69, respectively), while ChatGPT o1 achieved moderate agreement (κ = 0.52). In the context of RBH values, the ChatGPT models consistently exhibited a positive mean bias compared with the clinicians. ChatGPT 4.5 was reported to provide the lowest bias (+12 percentage points (pp) for the distal surfaces, width of the 95% CI for limits of agreement (LoAs) ~60 pp; +11 pp for the mesial surfaces, LoA width ~54 pp). Conclusions: ChatGPT 4.5 and ChatGPT o3 show potential in the assessment of tooth counts on a panoramic radiograph; however, their present level of accuracy is insufficient for clinical use. In the current stage of development, the ChatGPT models substantially overestimated the RBH values; therefore, they are not applicable for classifying periodontal disease. Full article

This study investigated the radiation attenuation characteristics of commonly used dental implant materials across an energy spectrum relevant to dental radiology. Two titanium implants were examined, with densities of 4.428 g/cm³ and 4.51 g/cm³, respectively. The first consisted of 90.39% titanium, 5.40% aluminum, and 4.21% vanadium, while the second comprised 58% titanium, 33% oxygen, 7% iron, 1% carbon, and 1% nitrogen. The third material was a zirconia implant (5Y form) composed of 94.75% zirconium dioxide, 5.00% yttrium oxide, and 0.25% aluminum oxide, exhibiting a higher density of 6.05 g/cm³. Monte Carlo simulations (MCNP6) and XCOM data were utilized to estimate photon source parameters, geometric configuration, and interactions with biological materials to calculate the half-value layer, mean free path, and tenth-value layer at varying photon energies. The results indicated that titanium alloys are well suited for low-energy imaging modalities such as CBCT and panoramic radiography due to their reduced artifact production. While zirconia implants demonstrated superior attenuation at higher energies (e.g., CT), their higher density may induce beam-hardening artifacts in low-energy systems. Future research should validate these simulation results through in vitro and clinical imaging and further explore the correlation between material-specific attenuation and CBCT image artifacts. Full article

Background/Objectives: Supernumerary teeth, or hyperdontia, refer to a developmental anomaly defined by the presence of additional teeth beyond the normal dentition. Hyperdontia may result in clinical complications including delayed eruption, crowding, and malocclusion. Despite its prevalence having been studied in various populations, data from geographically isolated or peripheral groups remain limited. This study aimed to investigate the prevalence and distribution of supernumerary teeth in a sample of children and adolescents from the island of Lesvos, Greece. Methods: A retrospective cross-sectional study was conducted using panoramic radiographs from 621 Caucasian children aged 9–16 years who attended orthodontic or general/pediatric dental clinics in Mytilini, Lesvos island, Greece. Radiographs were examined for the presence, number, type, and location of supernumerary teeth. The analysis included data to explore gender and arch distribution. Results: Supernumerary teeth were identified in 15 individuals, corresponding to a prevalence of 2.4%. A slightly higher occurrence was observed in males (1.4%) than in females (1%). The majority of supernumerary teeth were situated in the maxillary arch (1.9%). Mesiodens represented the most frequently observed type, followed by supernumerary lateral incisors, paramolars, and a single supernumerary central incisor. Conclusions: The prevalence of supernumerary teeth in this population is consistent with reported findings. Mesiodens was the most frequently observed type, with a predominance in the maxillary arch. Early detection of supernumerary teeth is crucial for accurate diagnosis and effective management. Full article

Objectives: In this study, we aimed to evaluate the accuracy of four radiological methods for dental age estimation and to test which method is the most reliable in Montenegrin children. Methods: To determine dental age, we examined 351 panoramic radiographs of 190 female and 161 male children between the ages of 6 and 12 using the Demirjian method, Willems method, the European formula, and the BAF. The estimated dental age was compared with the chronological age, and the average, absolute, and standard deviations were calculated. Results: When comparing dental age to chronological age in females, overestimation occurred when using the Demirjian and Willems methods, whereas the European formula and the BAF resulted in underestimations. Only the European formula underestimated dental age in males, while the other three methods caused overestimations in comparison to chronological age. The European formula and the BAF revealed that, when all age groups were included, approximately 57.1–61% of patients deviated from their chronological age by less than six months. When using Demirjian’s method, nearly 30–35% of patients had dental ages that were either overestimated or underestimated by more than a year. Conclusions: The most accurate method for estimating the dental age of children under 13 in the Montenegrin population is the European formula. The Demirjian method had the lowest accuracy, whereas that in the BAF and the Willems method was similar. Full article

Background/Objectives: The objective of this study is to evaluate the diagnostic performance of a combined screening approach using self-reported periodontal information and radiographic periodontal bone loss (R-PBL) in identifying individuals with periodontitis. Methods: An exploratory cross-sectional study was conducted including adult participants with available panoramic radiographs and responses to a validated self-reported periodontal screening questionnaire. R-PBL was assessed on interproximal sites and classified according to established thresholds. Self-reported information followed a validated strategy based on the Center for Diseases Control tool. The performance of individual and combined indicators was analyzed against the 2018 case definition for periodontitis, calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: A total of 150 participants were included, equally divided between periodontitis cases and controls, with a mean age of 46.5 years. The R-PBL model demonstrated the best predictive performance for both periodontitis (AUC: 0.833) and severe periodontitis (AUC: 0.796), with the highest precision and net benefit across thresholds. The Either model showed similar performance, particularly in sensitivity, while SR and Both models underperformed. Decision curve analysis confirmed the superior clinical utility of ‘R-PBL’ and ‘Either’ models in guiding decision-making. Conclusions: Combining self-reported information with radiographic bone loss showed adequate screening performance for periodontitis. This dual approach may provide a feasible strategy for identifying high-risk individuals in settings where full clinical examination is not possible. Full article

Background: Eighty-five percent of peri-implant malignancies are oral squamous cell carcinomas (OSCCs), and most of them are misdiagnosed as peri-implantitis because of their clinical and radiological presentation; few studies have focused on addressing and solving the diagnostic issues related to peri-implant OSCCs. Objectives: The study aimed to describe the clinicopathological features of peri-implant OSCCs and to report the staging issues related to the diagnosis of these lesions. Methods: This retrospective cohort study included patients who received a diagnosis of and treatment for peri-implant OSCCs at the Unit of Dentistry of the “Aldo Moro” University of Bari (Italy) from 2018 to 2024. By using descriptive statistics, the authors highlighted the diagnostic issues related to the clinical presentation, radiological features, and histology of peri-implant OSCCs. Results: A total of 13 women and 8 men with a mean age of 70.6 ± 11.7 years met the inclusion criteria; the medical history of the participants showed potentially malignant disorders (OPMDs) in 52.4% of patients, whereas 14.3% had already developed an OSCC. The patients showed 24 peri-implant OSCCs; the clinical presentation was leuko-erythroplakia-like (41.7%) or erythroplakia-like (58.3%), thus simulating peri-implantitis; in addition, 52.0% of dental implants involved had a probing pocket depth ≥ 10 mm, further mimicking peri-implantitis. Panoramic radiograms and cone beam computed tomography were of little use in studying bundle bone–implant interfaces; in particular, the tomography showed circumferential bone resorption only in peri-implantitis-like OSCCs. In total, 91.6% of histological examinations of OSCCs showed peri-implantitis-like inflammation; early-stage lesions (pTNM I-II) accounted for 33.3%, whereas late-stage lesions (pTNM III-IV) accounted for 66.7%; lymph nodal metastases occurred in 25.0% and 62.5%, respectively. The mean follow-up was 3.4 ± 1.0 years; all patients with OPMDs had poorly differentiated tumors and thus showed a worse prognosis than those without OPMDs (mean disease-free survival of 15.5 ± 7.7 months and 44.7 ± 12.1 months, respectively). Conclusions: The results of the study showed that peri-implant OSCCs occurred most frequently in patients with OPMDs or previous OSCC; in addition, peri-implant OSCCs required demolition rather than conservative excision, and the prognosis of patients strictly depended on the grade of the cancer. In the authors’ experience, the clinical–radiological presentation simulating peri-implantitis was the feature that concurred most in complicating the diagnosis of those tumors. Full article

Background/Objectives: Different sized calcified masses called pulp stones are often detected in dental pulp and can impact dental procedures. The current research was conducted with the aim of measuring the ability of artificial intelligence algorithms to accurately diagnose pulp and pulp stone calcifications on panoramic radiographs. Methods: We used 713 panoramic radiographs, on which a minimum of one pulp stone was detected, identified retrospectively, and included in the study—4675 pulp stones and 5085 pulps were marked on these radiographs using CVAT v1.7.0 labeling software. Results: In the test dataset, the AI model segmented 462 panoramic radiographs for pulp stone and 220 panoramic radiographs for pulp. The dice coefficient and Intersection over Union (IoU) recorded for the Pulp Segmentation model were 0.84 and 0.758, respectively. Precision and recall were computed to be 0.858 and 0.827, respectively. The Pulp Stone Segmentation model achieved a dice coefficient of 0.759 and an IoU of 0.686, with precision and recall of 0.792 and 0.773, respectively. Conclusions: Pulp and pulp stones can successfully be identified using artificial intelligence algorithms. This study provides evidence that artificial intelligence software using deep learning algorithms can be valuable adjunct tools in aiding clinicians in radiographic diagnosis. Further research in which larger datasets are examined are needed to enhance the capability of artificial intelligence models to make accurate diagnoses. Full article

Background: Dental radiographs play a crucial role in diagnosis and treatment planning. With the rise in digital imaging, there is growing interest in leveraging artificial intelligence (AI) to support clinical decision-making. AI technologies can enhance diagnostic accuracy by automating tasks like identifying and locating dental structures. The aim of the current study was to assess and validate the accuracy of an AI-powered application in the detection and numbering of primary teeth on panoramic radiographs. Methods: This study examined 598 archived panoramic radiographs of subjects aged 4–14 years old. Images with poor diagnostic quality were excluded. Three experienced clinicians independently assessed each image to establish the ground truth for primary teeth identification. The same radiographs were then evaluated using EM2AI, an AI-based diagnostic software for the automatic detection and numbering of primary teeth. The AI’s performance was assessed by comparing its output to the ground truth using sensitivity, specificity, predictive values, accuracy, and the Kappa coefficient. Results: EM2AI demonstrated high overall performance in detecting and numbering primary teeth in mixed dentition, with an accuracy of 0.98, a sensitivity of 0.97, a specificity of 0.99, and a Kappa coefficient of 0.96. Detection accuracy for individual teeth ranged from 0.96 to 0.99. The highest sensitivity (0.99) was observed in detecting upper right canines and primary molars, while the lowest sensitivity (0.79–0.85) occurred in detecting lower incisors and the upper left first molar. Conclusions: The AI module demonstrated high accuracy in the automatic detection of primary teeth presence and numbering in panoramic images, with performance metrics exceeding 90%. With further validation, such systems could support automated dental charting, improve electronic dental records, and aid clinical decision-making. Full article

Background/Objectives: Dental anomalies can manifest as a consequence of developmental defects and/or genetic influences, which disrupt the normal functioning of the oral cavity and present in various forms. Cases of fusion, gemination and concrescence are rare dental anomalies which are seen in the area of the mandibular molars. Case report: This case report concerns a 69-year-old Greek male patient who presented in the dental office asking for comprehensive oral treatment. During the clinical examination, a morphologically atypical molar was identified in the area of #37–38 presented with a large crown in the mesio-distal dimension (‘double’ crown). Panoramic and periapical radiographs offered valuable insights on the morphology of the irregular tooth, as they revealed the crown and root morphology, including the two pulp chambers and the three parallel roots of the tooth. Discussion: A plausible hypothesis identifies the atypical tooth as a third molar exhibiting morphological variation, a common characteristic of third molars. Additional diagnostic considerations—while supposing the existence of a supernumerary fourth molar—include the developmental anomalies of gemination, concrescence and fusion, as the clinical and radiographic features of the tooth display elements associated with all three. Conclusions: Considering the patient’s history, clinical and radiographic findings and the relevant literature, fusion is determined to be the most probable diagnosis. Early identification of the atypical tooth is essential to facilitate the implementation of appropriate preventive measures and to support informed treatment planning, should invasive procedures such as endodontic or surgical intervention be required in the future. Full article

Background/Objectives: Panoramic radiography (PANO) is widely utilized for routine dental examinations, as a single PANO image captures most anatomical structures and clinical findings, enabling an initial assessment of overall dental health. Dentists rely on PANO images to enhance clinical diagnosis and inform treatment planning. With the advancement of artificial intelligence (AI), the integration of clinical data and AI-driven analysis presents significant potential for supporting medical applications. Methods: The proposed method focuses on the segmentation and localization of impacted third molars in PANO images, incorporating Sobel edge detection and enhancement methods to improve feature extraction. A convolutional neural network (CNN) was subsequently trained to develop an automated impacted tooth detection system. Results: Experimental results demonstrated that the trained CNN achieved an accuracy of 84.48% without image preprocessing and enhancement. Following the application of the proposed preprocessing and enhancement methods, the detection accuracy improved significantly to 98.66%. This substantial increase confirmed the effectiveness of the image preprocessing and enhancement strategies proposed in this study. Compared to existing methods, which achieve approximately 90% accuracy, the proposed approach represents a notable improvement. Furthermore, the entire process, from inputting a raw PANO image to completing the detection, takes only 4.4 s. Conclusions: This system serves as a clinical decision support system for dentists and medical professionals, allowing them to focus more effectively on patient care and treatment planning. Full article

In late imperial China, a type of painting known as “panoramic maps” (shengjing tu 聖境圖, literally “sacred realm maps”) depicted Buddhist sacred sites. Often surviving as woodblock prints, examples from Mount Wutai and Mount Putuo are particularly representative. Previous research has often viewed these images as pilgrimage guides or focused on the relationship between pictorial perspectives and actual geography. This study centers on panoramic maps of Mount Wutai and Mount Putuo, examining both vertical and horizontal layouts, to offer a preliminary understanding of this genre. This study argues that: (1) Unlike urban maps, panoramic maps emphasize significant monasteries and landscape features, incorporating local legends and historical narratives, thus possessing strong narrative qualities. (2) These images likely functioned as pilgrimage souvenirs. Diverging from practical roadmaps, their primary goal was not strict realism but rather to convey the site’s sacredness and associated information through landscape painting conventions, allowing viewers to perceive its sacredness. (3) The woodblock print medium facilitated affordable reproduction, accelerating the circulation of the sacred site’s significance among the populace and aiding in its promotion. This research contends that the panoramic maps primarily function as folk landscape paintings reflecting the sacred site, capable only of approximating the relative positions of features. The widespread adoption of late-period woodblock printing enabled the low-cost reproduction and dissemination of the sacredness inherent in these Buddhist landscapes, constructing idealized spatial representations shaped by religious belief and geomantic principles. Full article

Background: Traumatic injuries to the alveolar process and primary teeth in early childhood can have long-term consequences on the development of permanent dentition and eruption pathways. Objective: This case report aims to illustrate the impact of early orofacial trauma on the eruption and development of permanent maxillary incisors and to emphasize the importance of timely interdisciplinary management. Case Presentation: An 8-year-old female patient presented to a pediatric dentistry clinic with delayed eruption of the maxillary anterior permanent teeth. In contrast, her monozygotic twin sister exhibited complete eruption of all permanent anterior teeth, raising parental concern regarding a possible pathological delay. Her medical history revealed orofacial trauma at the age of two, resulting in an alveolar process fracture, avulsion of the primary maxillary left central incisor (tooth 61), and luxation of the primary maxillary right central incisor (tooth 51). A clinical examination demonstrated sufficient arch space without signs of eruption and enamel defects on tooth 52. Radiographic evaluations, including panoramic imaging and cone beam computed tomography (CBCT), confirmed the presence of impacted permanent teeth with structural anomalies suggestive of trauma-related developmental disturbances. Results: The patient underwent a multidisciplinary treatment over a three-year period involving pediatric dentistry, oral surgery, and orthodontics. Management included surgical exposure of the impacted teeth followed by orthodontic traction to guide the eruption and treatment of enamel hypoplasia. Conclusions: This case highlights the long-term consequences of early traumatic dental injuries on permanent dentition development. It underscores the necessity of early diagnosis and a coordinated interdisciplinary approach to optimize outcomes and enhance the long-term oral health and quality of life of affected individuals. Full article

Background/Objectives: This study aims to determine the sensitivity, specificity, positive predictive value, and negative predictive value by comparing ultrasonography and panoramic radiography with the gold standard cone beam computed tomography in the diagnosis of osteoarthritic changes in the temporomandibular joint (TMJ) and to determine the distribution of these degenerations in terms of age and gender. Methods: In the study, cone beam computed tomography (CBCT), panoramic radiography, and ultrasonography (USG) images of 143 patients who applied to the Dentomaxillofacial Radiology Department of the Faculty of Dentistry of Zonguldak Bülent Ecevit University with complaints of TMJ were retrospectively examined. Results: As a result of the analysis, the average age of the patients included in the study was found to be 50.3 ± 14.4. The incidence of degenerative changes was higher in females than in males. The most common degenerative change in both genders was found to be flattening. Of the 143 patients’ degenerative changes detected on CBCT, 135 (94.4%) were detected on panoramic radiography and 124 (86.7%) were detected on USG. Conclusions: The sensitivity rates of ultrasound and panoramic radiography were found to be lower than those of CBCT in detecting degenerative changes. Full article

Background: Evidence supporting the validity of photogrammetry for assessing body segment alignment remains limited, with most studies focusing on spinal evaluation. Thus, there is a lack of robust research examining its use for other body segments such as the lower limbs. Objective: This study aimed to evaluate the concurrent validity of three photogrammetric methods for measuring knee alignment in the sagittal plane with and without corrections for potential rotational deviations in the participant’s thigh and leg. Methods: A total of 21 adults underwent sequential evaluations involving panoramic radiography of the lower limbs and photogrammetry at a private radiology clinic. Photogrammetric analysis involved identifying the following anatomical landmarks: the greater trochanter of the femur (GTF), the lateral condyle of the femur (LCF), the head of the fibula (HF), and lateral malleolus (LM). Three photogrammetric methods were employed: (1) the condylar angle (CA) defined by the GTF, LCF, and LM points; (2) the fibula head angle (FHA) defined by the GTF, HF, and LM points; and (3) the four-point angle (4PA) incorporating the GTF, LCF, HF, and LM. Concurrent validity was assessed using correlation analysis, agreement with radiographic measurements, and the root mean square error (RMSE). Each photogrammetric method was tested using raw (CA, FHA, and 4PA) and corrected (CAcorr, FHAcorr, and 4PAcorr) values, accounting for thigh and/or leg rotational deviations. Results: Correcting for thigh and leg rotations significantly improved the validity metrics for all methods. The best performance was observed with the corrected condylar angle (CAcorr: r = 0.746; adjusted r² = 0.533; RMSE = 2.9°) and the corrected four-point angle (4PAcorr: r = 0.733; adjusted r² = 0.513; RMSE = 3.0°); however, the measurements presented proportional errors, possible due the method of assessment of rotations. Conclusions: The findings validate the evaluated photogrammetric methods for assessing sagittal knee alignment. Accounting for thigh and leg rotational deviations is critical for achieving accurate measurements, raising the need of accurate tools for measuring rotational changes in the lower limbs to avoid errors. Full article

The restorative effects of various environmental factors within urban forests on physical and mental health exhibit significant differences. Specifically, vegetation types and topographical slope positions are key elements contributing to the environmental heterogeneity of urban forests. However, there is a lack of studies that have concurrently examined the health restoration effects of both factors. This study conducted an empirical experiment on university students in urban forests during the autumn season, investigating the effects of different vegetation types and slope positions on physiological and psychological restoration, and identifying the key environmental factors contributing to these effects. The results show the following: (1) Urban forests with different vegetation types exhibit varying restorative effects, with coniferous forests offering greater physiological restoration benefits than coniferous–broadleaf mixed forests. (2) Slope position affects both physiological and psychological restoration. In coniferous forests, the restorative effects on physical and mental health are greater at the top and midslope positions compared to the bottom slope position; in coniferous–broadleaf mixed forests, the best physiological restoration effects occur at the midslope position. (3) The key environmental factors influencing physiological restoration in urban coniferous forests are panoramic green coverage and elevation. (4) In urban coniferous–broadleaf mixed forests, temperature, humidity, and wind speed are the key factors affecting physiological restoration. This study reveals the restorative differences in urban forests under different vegetation types and slope positions, identifies the key environmental factors influencing health restoration, and provides a theoretical basis for further research on the impact of urban forests on human health. Future urban forest layout and design should fully consider the characteristics of different slope positions, optimize microclimate regulation, and maximize their role in promoting public health. Full article