Synthetic, non-person related panoramic radiographs created by Generative Adversarial Networks in research, clinical, and teaching applications

OBJECTIVES

Generative Adversarial Networks (GANs) can produce synthetic images free from personal data. They hold significant value in medical research, where data protection is increasingly regulated. Panoramic radiographs (PRs) are a well-suited modality due to their significant level of standardization while simultaneously displaying a high degree of personally identifiable data.

METHODS

We produced synthetic PRs (syPRs) out of real PRs (rePRs) using StyleGAN2-ADA by NVIDIA©. A survey was performed on 54 medical professionals and 33 dentistry students. They assessed 45 radiological images (20 rePRs, 20 syPRs, and 5 syPRcontrols) as real or synthetic and interpreted a single-image syPR according to the image quality (0-10) and 14 different items (agreement/disagreement). They also rated the importance for the profession (0-10). A follow-up was performed for test-retest reliability with >10% of all participants.

RESULTS

Overall, the sensitivity was 78.2% and the specificity was 82.5%. For professionals, the sensitivity was 79.9% and the specificity was 82.3%. For students, the sensitivity was 75.5% and the specificity was 82.7%. In the single syPR-interpretation image quality was rated at a median of 6 and 11 items were considered as agreement. The importance for the profession was rated at a median score of 7. The Test-retest reliability yielded a value of 0.23 (Cohen's kappa).

CONCLUSIONS

The study marks a comprehensive testing to demonstrate that GANs can produce synthetic radiological images that even health professionals can sometimes not differentiate from real radiological images, thereby being genuinely considered authentic. This enables their utilization and/or modification free from personally identifiable information.

CLINICAL SIGNIFICANCE

Synthetic images can be used for university teaching and patient education without relying on patient-related data. They can also be utilized to upscale existing training datasets to improve the accuracy of AI-based diagnostic systems. The study thereby supports clinical teaching as well as diagnostic and therapeutic decision-making.

Clinical Super-Resolution Computed Tomography of Bone Microstructure: Application in Musculoskeletal and Dental Imaging

PURPOSE

Clinical cone-beam computed tomography (CBCT) devices are limited to imaging features of half a millimeter in size and cannot quantify the tissue microstructure. We demonstrate a robust deep-learning method for enhancing clinical CT images, only requiring a limited set of easy-to-acquire training data.

METHODS

Knee tissue from five cadavers and six total knee replacement patients, and 14 teeth from eight patients were scanned using laboratory CT as training data for the developed super-resolution (SR) technique. The method was benchmarked against ex vivo test set, 52 osteochondral samples are imaged with clinical and laboratory CT. A quality assurance phantom was imaged with clinical CT to quantify the technical image quality. To visually assess the clinical image quality, musculoskeletal and maxillofacial CBCT studies were enhanced with SR and contrasted to interpolated images. A dental radiologist and surgeon reviewed the maxillofacial images.

RESULTS

The SR models predicted the bone morphological parameters on the ex vivo test set more accurately than conventional image processing. The phantom analysis confirmed higher spatial resolution on the SR images than interpolation, but image grayscales were modified. Musculoskeletal and maxillofacial CBCT images showed more details on SR than interpolation; however, artifacts were observed near the crown of the teeth. The readers assessed mediocre overall scores for both SR and interpolation. The source code and pretrained networks are publicly available.

CONCLUSION

Model training with laboratory modalities could push the resolution limit beyond state-of-the-art clinical musculoskeletal and dental CBCT. A larger maxillofacial training dataset is recommended for dental applications.

Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset

OBJECTIVES

To evaluate the diagnostic performance of three versions of a deep-learning convolutional neural network in terms of object detection and segmentation using a multiclass panoramic radiograph dataset.

METHODS

A total of 600 orthopantomographies were randomly selected for this study and manually annotated by a single operator using an image annotation tool (COCO Annotator v.11.0.1) to establish ground truth. The annotation classes included teeth, maxilla, mandible, inferior alveolar nerve, dento- and implant-supported crowns/pontics, endodontic treatment, resin-based restorations, metallic restorations, and implants. The dataset was then divided into training, validation, and testing subsets, which were used to train versions 5, 7, and 8 of You Only Look Once (YOLO) Neural Network. Results were stored, and a posterior performance analysis was carried out by calculating the precision (P), recall (R), F1 Score, Intersection over Union (IoU), and mean average precision (mAP) at 0.5 and 0.5-0.95 thresholds. The confusion matrix and recall precision graphs were also sketched.

RESULTS

YOLOv5s showed an improvement in object detection results with an average R = 0.634, P = 0.781, mAP0.5 = 0.631, and mAP0.5-0.95 = 0.392. YOLOv7m achieved the best object detection results with average R = 0.793, P = 0.779, mAP0.5 = 0.740, and mAP0.5-0.95 = 0,481. For object segmentation, YOLOv8m obtained the best average results (R = 0.589, P = 0.755, mAP0.5 = 0.591, and mAP0.5-0.95 = 0.272).

CONCLUSIONS

YOLOv7m was better suited for object detection, while YOLOv8m demonstrated superior performance in object segmentation. The most frequent error in object detection was related to background classification. Conversely, in object segmentation, there is a tendency to misclassify True Positives across different dental treatment categories.

CLINICAL SIGNIFICANCE

General diagnostic and treatment decisions based on panoramic radiographs can be enhanced using new artificial intelligence-based tools. Nevertheless, the reliability of these neural networks should be subjected to training and validation to ensure their generalizability.

Exposure and protection protocols of dentomaxillofacial imaging applied by paediatric dentists in Europe

OBJECTIVES

Evaluate exposure and protection practices regarding dentomaxillofacial imaging among pediatric dentists in Europe and determine the effect of different clinician specific characteristics on their implementation.

METHODS

A cross-sectional study involving an electronic questionnaire addressed to paediatric dentists, participating in a seminar on dental radiology organized by the European Academy of Paediatric Dentistry. Participants were asked to respond to questions regarding dentomaxillofacial imaging in terms of applied radiation dose, adoption of radiation protection techniques, and different patterns of radiographic studying and exchange between patients and colleagues. Data analysis was performed and distribution of responses was tested using chi-square and Fisher's exact tests.

RESULTS

A total of 151 paediatric dentists, 119 females and 32 males, with a mean chronological age of 42.8 years (s.e. 11.3 years), successfully completed the questionnaire (response rate = 82%). Regardless of the type of radiograph, majority of respondents (68%), reported that they perform the radiographs themselves, while 21% reported that they refer the patients. Half of the respondents (51%), indicated requesting a small (localized) field of view (FOV) when referring for a cone beam computed tomography (CBCT) with only a small proportion (11%) reporting a large (maxillofacial) FOV. Thyroid collars and optimizing exposure settings were the most commonly reported patient protection measures used. Lastly, paediatric dentists have adopted the latest technological capacities for the study of dental images.

CONCLUSIONS

Dentomaxillofacial imaging protection and exposure protocols used are common among paediatric dentists with none of their specific characteristics having a significant effect.

Australian Dentist's Knowledge and Perceptions of Factors Affecting Radiographic Interpretation

BACKGROUND

Errors of interpretation of radigraphic images, also known as interpretive errors, are a critical concern as they can have profound implications for clinical decision making. Different types of interpretive errors, including errors of omission and misdiagnosis, have been described in the literature. These errors can lead to unnecessary or harmful treat/or prolonged patient care. Understanding the nature and contributing factors of interpretive errors is important in developing solutions to minimise interpretive errors. By exploring the knowledge and perceptions of dental practitioners, this study aimed to shed light on the current understanding of interpretive errors in dentistry.

METHODS

An anonymised online questionnaire was sent to dental practitioners in New South Wales (NSW) between September 2020 and March 2022. A total of 80 valid responses were received and analysed. Descriptive statistics and bivariate analysis were used to analyse the data.

RESULTS

The study found that participants commonly reported interpretive errors as occurring 'occasionally', with errors of omission being the most frequently encountered type. Participants identified several factors that most likely contribute to interpretive errors, including reading a poor-quality image, lack of clinical experience and knowledge, and excessive workload. Additionally, general practitioners and specialists held different views regarding factors affecting interpretive errors.

CONCLUSION

The survey results indicate that dental practitioners are aware of the common factors associated with interpretive errors. Errors of omission were identified as the most common type of error to occur in clinical practice. The findings suggest that interpretive errors result from a mental overload caused by factors associated with image quality, clinician-related, and image interpretation. Managing and identifying solutions to mitigate these factors are crucial for ensuring accurate and timely radiographic diagnoses. The findings of this study can serve as a foundation for future research and the development of targeted interventions to enhance the accuracy of radiographic interpretations in dentistry.

Indications and use of cone beam computed tomography in children and young individuals in a university-based dental hospital

BACKGROUND

The aim of this study was to evaluate the indications of cone beam computed tomography (CBCT) in children and young individuals in a university-based dental hospital and their association with age, gender and field of view.

METHODS

7131 CBCT scans, taken during 3-year period, were reviewed and a total of 649 pediatric patients (0-18 years) with complete request forms were included. Data related to gender, age, referring department, CBCT indications, field of view (FOV), region of interest (ROI), need for re-exposure and patients received more than one CBCT examination were recorded.

RESULTS

The mean age was 13.57 ± 3.52 years and "malocclusion and dentofacial anomaly" (28.7%) was the most common clinical indication. Facial trauma, dental trauma and supernumerary tooth in males; "malocclusion and dentofacial anomaly" and implant planning in females were recorded more frequently compared to other gender. Maxilla was the most frequently monitored ROI (35.1%) for patients. Small (≤ 10 cm) FOV was preferred in 58.1% of all patients. Large FOV was selected in the majority of patients who underwent CBCT scan for "malocclusion and dentofacial anomaly" (89.6%). The repeated scans constituted 2.3% of patients and 105 patients (16.2%) underwent multiple CBCT scans on different dates for mainly orthodontic follow-up.

CONCLUSIONS

The justification of CBCT scans was not fully compatible with current guidelines and mainly larger FOV was preferred. The number of CBCT examination in children and young individuals tends to increase.

TRIAL REGISTRATION NUMBER

Not applicable.

Dental health in Roman dogs: A pilot study using standardized examination methods

OBJECTIVE

To utilize standardized clinical veterinary methods to analyze dental health in a series of Roman dog maxillae and mandibles and to compare results to modern clinical data.

MATERIALS

28 skulls of juvenile and adult dogs from three archaeological sites in Switzerland and Germany dating to the Roman period.

METHODS

Standardized examination was carried out, which included metric radiographic assessment to diagnose oral pathology and estimate age at death. In one case, CT analysis was undertaken.

RESULTS

The estimated average age at death was between three and four years old. Tooth fracture, periodontal disease, the presence of non-vital teeth, and brachycephalic skull form were found in the sample. Tooth resorption was unexpectedly noted.

CONCLUSION

The study provides valuable insights into the dental health of dogs in the Roman era. Compared to modern dogs, Roman dogs examined in this study appear to have a shorter lifespan but display a high rate of pathological dental disease, while disease patterns were very similar to those of modern dogs. Dogs with pronounced brachycephalic features were found.

SIGNIFICANCE

This pilot study is the first to use standardized clinical examination and recording techniques to assess dental health in dogs from archaeological contexts. It provides insight into the dental health of Roman era dogs and offers data upon which cross-populational studies can be initiated.

LIMITATIONS

The sample size and geographic location of the archaeological sites were limited.

SUGGESTIONS FOR FURTHER RESEARCH

Subsequent standardized studies, preferably in as many different Roman Empire regions as possible, are recommended.

Comparative study of 360° virtual reality and traditional two-dimensional video in nonface-to-face dental radiology classes: focusing on learning satisfaction and self-efficacy

BACKGROUND

Acquiring adequate theoretical knowledge in the field of dental radiography (DR) is essential for establishing a good foundation at the prepractical stage. Currently, nonface-to-face DR education predominantly relies on two-dimensional (2D) videos, highlighting the need for developing educational resources that address the inherent limitations of this method. We developed a virtual reality (VR) learning medium using 360° video with a prefabricated head-mounted display (pHMD) for nonface-to-face DR learning and compared it with a 2D video medium.

METHODS

Forty-four participants were randomly assigned to a control group (n = 23; 2D video) and an experimental group (n = 21; 360° VR). DR was re-enacted by the operator and recorded using 360° video. A survey was performed to assess learning satisfaction and self-efficacy. The nonparametric statistical tests comparing the groups were conducted using SPSS statistical analysis software.

RESULTS

Learners in the experimental group could experience VR for DR by attaching their smartphones to the pHMD. The 360° VR video with pHMD provided a step-by-step guide for DR learning from the point of view of an operator as VR. Learning satisfaction and self-efficacy were statistically significantly higher in the experimental group than the control group (p < 0.001).

CONCLUSIONS

The 360° VR videos were associated with greater learning satisfaction and self-efficacy than conventional 2D videos. However, these findings do not necessarily substantiate the educational effects of this medium, but instead suggest that it may be considered a suitable alternative for DR education in a nonface-to-face environment. However, further examination of the extent of DR knowledge gained in a nonface-to-face setting is warranted. Future research should aim to develop simulation tools based on 3D objects and also explore additional uses of 360° VR videos as prepractical learning mediums.

Comparison of artificial intelligence vs. junior dentists' diagnostic performance based on caries and periapical infection detection on panoramic images

Background

There is information missing in the literature about the comparison of dentists vs. artificial intelligence (AI) based on diagnostic capability. The aim of this study is to evaluate the diagnostic performance based on radiological diagnoses regarding caries and periapical infection detection by comparing AI software with junior dentists who have 1 or 2 years of experience, based on the valid determinations by specialist dentists.

Methods

In the initial stage of the study, 2 specialist dentists evaluated the presence of caries and periapical lesions on 500 digital panoramic radiographs, and the detection time was recorded in seconds. In the second stage, 3 junior dentists and an AI software performed diagnoses on the same panoramic radiographs, and the diagnostic results and durations were recorded in seconds.

Results

The AI and the three junior dentists, respectively, detected dental caries at a sensitivity (SEN) of 0.907, 0.889, 0.491, 0.907; a specificity (SPEC) of 0.760, 0.740, 0.454, 0.696; a positive predictive value (PPV) of 0.693, 0.470, 0.155, 0.666; a negative predictive value (NPV) of 0.505, 0.415, 0.275, 0.367 and a F1-score of 0.786, 0.615, 0.236, 0.768. The AI and the three junior dentists respectively detected periapical lesions at an SEN of 0.973, 0.962, 0.758, 0.958; a SPEC of 0.629, 0.421, 0.404, 0.621; a PPV of 0.861, 0.651, 0.312, 0.648; a NPV of 0.689, 0.673, 0.278, 0.546 and an F1-score of 0.914, 0.777, 0.442, 0.773. The AI software gave more accurate results, especially in detecting periapical lesions. On the other hand, in caries detection, the underdiagnosis rate was high for both AI and junior dentists.

Conclusions

Regarding the evaluation time needed, AI performed faster, on average.

Accurate mandibular canal segmentation of dental CBCT using a two-stage 3D-UNet based segmentation framework

OBJECTIVES

The objective of this study is to develop a deep learning (DL) model for fast and accurate mandibular canal (MC) segmentation on cone beam computed tomography (CBCT).

METHODS

A total of 220 CBCT scans from dentate subjects needing oral surgery were used in this study. The segmentation ground truth is annotated and reviewed by two senior dentists. All patients were randomly splitted into a training dataset (n = 132), a validation dataset (n = 44) and a test dataset (n = 44). We proposed a two-stage 3D-UNet based segmentation framework for automated MC segmentation on CBCT. The Dice Similarity Coefficient (DSC) and 95% Hausdorff Distance (95% HD) were used as the evaluation metrics for the segmentation model.

RESULTS

The two-stage 3D-UNet model successfully segmented the MC on CBCT images. In the test dataset, the mean DSC was 0.875 ± 0.045 and the mean 95% HD was 0.442 ± 0.379.

CONCLUSIONS

This automatic DL method might aid in the detection of MC and assist dental practitioners to set up treatment plans for oral surgery evolved MC.

Awareness and practice of dentomaxillofacial imaging among paediatric dentists: a questionnaire survey of members of the European Academy of Paediatric Dentistry

OBJECTIVES

Assess knowledge, attitudes and practices of paediatric dentists towards dentomaxillofacial imaging and correlate findings with practitioner and practice-specific characteristics.

METHODS

An online questionnaire was sent to all paediatric dentists who attended a scientific seminar organized by the European Academy of Paediatric Dentistry (EAPD) regarding dental radiology. Data regarding available equipment, number, type and reason for performing radiographs, frequency and reasoning for retakes were collected. Data analysis was performed according to practitioner- and practice-specific characteristics and factors directly associated with the type and frequency of radiographs taken, and reason and frequency of repeats were determined. Significant differences were tested using Chi-square and Fisher's exact test. Statistical significance was set at p < 0.05.

RESULTS

More than half of the participants (58%) reported having digital radiographic equipment and almost 1/4 (23%) conventional. A panoramic equipment was available in 39% working places and a CBCT scanner in 41%. Two thirds of the participants reported taking up to 10 intra-oral radiographs per week, mainly for trauma (75%) and caries diagnosis (47%). Extra-oral radiographs were prescribed to monitor development (75%) and for orthodontic evaluation, (63%) with a frequency of less than 5 weekly (45%). Participants reported that they repeat radiographs in a frequency of < 5 per week (70%) mainly due to patient's movement (55%).

CONCLUSIONS

The majority of paediatric dentists within Europe use digital imaging equipment for both intra- and extra-oral radiographs. Nevertheless, great variation in practices exists and, therefore, continuous education in oral imaging is crucial to maintain high quality standards for the radiographic examination of patients.

A survey of the dental radiology course designed for dentist continuing education in Taiwan

Background/purpose

In Taiwan, dental radiology has a long history of development. However, there are very few dental radiology curricula in Taiwan's dental education system. This study explored preliminarily the dental radiology course designed for dentist continuing education in Taiwan.

Materials and methods

This study used the method of dental radiology education survey by questionnaire to evaluate participating dentists' learning outcomes by assessing their perceptions of the dental radiology course.

Results

In this study, 117 participating dentists filled out the questionnaires completely after the class of dentist continuing education. The results showed that most of participating dentists agreed that dental radiology courses were rare in dental school curriculum and dentist continuing education. Moreover, most of participating dentists found this course to be helpful in raising their basic knowledge and skill about dental radiology, their attitude towards dental radiology, and their interest in further learning of dental radiology. They were satisfied with the course. The degree of agreement for each question was high, and all the mean scores for each question were between 4.53 and 4.77. The numbers (rates) of respondents who answered as agree were between 105 and 113 (between 89.74% and 96.58%).

Conclusion

The dental radiology course contributed to an increase in dentists' basic knowledge and skill about dental radiology and their awareness and understanding of the importance of dental radiology. Considering the effectiveness of the dental radiology course on dentists' basic knowledge/skill and attitude of dental radiology, this model shows promise for further use in dentist continuing education.

A systematic overview of dental methods for age assessment in living individuals: from traditional to artificial intelligence-based approaches

Dental radiographies have been used for many decades for estimating the chronological age, with a view to forensic identification, migration flow control, or assessment of dental development, among others. This study aims to analyse the current application of chronological age estimation methods from dental X-ray images in the last 6 years, involving a search for works in the Scopus and PubMed databases. Exclusion criteria were applied to discard off-topic studies and experiments which are not compliant with a minimum quality standard. The studies were grouped according to the applied methodology, the estimation target, and the age cohort used to evaluate the estimation performance. A set of performance metrics was used to ensure good comparability between the different proposed methodologies. A total of 613 unique studies were retrieved, of which 286 were selected according to the inclusion criteria. Notable tendencies to overestimation and underestimation were observed in some manual approaches for numeric age estimation, being especially notable in the case of Demirjian (overestimation) and Cameriere (underestimation). On the other hand, the automatic approaches based on deep learning techniques are scarcer, with only 17 studies published in this regard, but they showed a more balanced behaviour, with no tendency to overestimation or underestimation. From the analysis of the results, it can be concluded that traditional methods have been evaluated in a wide variety of population samples, ensuring good applicability in different ethnicities. On the other hand, fully automated methods were a turning point in terms of performance, cost, and adaptability to new populations.

Multicentric evaluation of conventional dosimetry vs bio-dosimetry over a period of two years for a three-point contact

Background

Dental radiology represents the best model for evaluating the effects of low-dose ionizing radiation. Therefore, this study evaluated the awareness on radiation hygiene among dental ancillary personnel through a questionnaire and their absorbed doses by physical and biologic dosimetry.

Methods

The multicentric study included two groups. Group I (N = 30) consisted of dental staff involved in dental radiology. An equal number of personnel who were not related to radiology formed the control group. Knowledge (K), attitude (A), and practice (P) of participants were assessed using a KAP questionnaire. Radiation exposure was evaluated by physical dosimetry at 3 time periods: at the beginning of the study (T1), after 10 months (T2), and at the end after 20 months (T3). Similarly, biologic dosimetry was also carried out at 3 time points by dicentric chromosome aberration assay. The data were compared using percentage analysis, analysis of variance (one-way analysis of variance), and Student's t- test.

Results

The KAP survey demonstrated enhanced understanding of radiation protection measures and its sound practice by the participants. Physical dosimetry showed a significant increase in absorbed dose at 3 time points: T1, T2, and T3. However, no chromosomal aberrations were observed in blood lymphocytes for any of the participants in the optimized 4-day biodosimetry protocol.

Conclusion

Good radiation protection protocols-safe distance from the radiation source and wear of lead aprons and thyroid collars-ensured low absorbed doses. The 4-day protocol is an important step toward developing biodosimetry laboratories in the Armed Forces Medical Services for clinical and national radiation countermeasure strategies.

Deep learning for preliminary profiling of panoramic images

OBJECTIVE

This study explored the feasibility of using deep learning for profiling of panoramic radiographs.

STUDY DESIGN

Panoramic radiographs of 1000 patients were used. Patients were categorized using seven dental or physical characteristics: age, gender, mixed or permanent dentition, number of presenting teeth, impacted wisdom tooth status, implant status, and prosthetic treatment status. A Neural Network Console (Sony Network Communications Inc., Tokyo, Japan) deep learning system and the VGG-Net deep convolutional neural network were used for classification.

RESULTS

Dentition and prosthetic treatment status exhibited classification accuracies of 93.5% and 90.5%, respectively. Tooth number and implant status both exhibited 89.5% classification accuracy; impacted wisdom tooth status exhibited 69.0% classification accuracy. Age and gender exhibited classification accuracies of 56.0% and 75.5%, respectively.

CONCLUSION

Our proposed preliminary profiling method may be useful for preliminary interpretation of panoramic images and preprocessing before the application of additional artificial intelligence techniques.

Evaluation of an Artificial Intelligence web-based software to detect and classify dental structures and treatments in panoramic radiographs

OBJECTIVES

To evaluate the diagnostic reliability of a web-based Artificial Intelligence program on the detection and classification of dental structures and treatments present on panoramic radiographs.

METHODS

A total of 300 orthopantomographies (OPG) were randomly selected for this study. First, the images were visually evaluated by two calibrated operators with radiodiagnosis experience that, after consensus, established the "ground truth". Operators' findings on the radiographs were collected and classified as follows: metal restorations (MR), resin-based restorations (RR), endodontic treatment (ET), Crowns (C) and Implants (I). The orthopantomographies were then anonymously uploaded and automatically analyzed by the web-based software (Denti.Ai). Results were then stored, and a statistical analysis was performed by comparing them with the ground truth in terms of Sensitivity (S), Specificity (E), Positive Predictive Value (PPV) Negative Predictive Value (NPV) and its later representation in the area under (AUC) the Receiver Operating Characteristic (ROC) Curve.

RESULTS

Diagnostic metrics obtained for each study variable were as follows: (MR) S=85.48%, E=87.50%, PPV=82.8%, NPV=42.51%, AUC=0.869; (PR) S=41.11%, E=93.30%, PPV=90.24%, NPV=87.50%, AUC=0.672; (ET) S=91.9%, E=100%, PPV=100%, NPV=94.62%, AUC=0.960; (C) S=89.53%, E=95.79%, PPV=89.53%, NPV=95.79%, AUC=0.927; (I) S, E, PPV, NPV=100%, AUC=1.000.

CONCLUSIONS

Findings suggest that the web-based Artificial intelligence software provides a good performance on the detection of implants, crowns, metal fillings and endodontic treatments, not being so accurate on the classification of dental structures or resin-based restorations.

CLINICAL SIGNIFICANCE

General diagnostic and treatment decisions using orthopantomographies can be improved by using web-based artificial intelligence tools, avoiding subjectivity and lapses from the clinician.

Effects of mobile learning on writing panoramic radiograph reports: a quasi-experimental trial in dental education

BACKGROUND

In dentistry, the reporting of panoramic radiographs is particularly challenging, as many structures are depicted in one image and pathologies need to be identified completely. To enhance the learning process for these interpretations, the advantages of the increasingly popular education method of mobile learning could be used. Therefore, this study aimed to determine the effectiveness of learning to report panoramic radiographs using an application (app) on a mobile device.

METHODS

The existing e-learning programme 'PantoDict' was further developed into a mobile app with a new training section. Participants of a dental radiology course were divided into two groups, one of which additionally had the chance to practise reporting panoramic radiographs using the app. A test to assess the knowledge gained was conducted at the end of the semester; the course and the app were also evaluated.

RESULTS

The group that used the app showed significantly better results in the test than the control group (p < 0.05). Although the app group approved a high satisfaction using the app as an additional supplement to the course, this did not result in a higher overall satisfaction with the course. Further, these students observed that the traditional face-to-face seminar could not be replaced by the app.

CONCLUSION

By using the PantoDict app, students were offered better training options for writing reports on panoramic radiographs, which resulted in significantly better test results than the results of the control group. Therefore, the mobile app is a useful supplement to classical education formats within the context of a blended learning approach.

The effects of examiner fatigue on the diagnostic accuracy of dental radiographs

OBJECTIVES

The aim of the study was to find out whether and to what extent the performance of dentists regarding diagnostic evaluation of dental radiographs is influenced by symptoms of fatigue.

MATERIALS AND METHODS

Over a period of 40 minutes, 21 dentists evaluated a database of 96 randomly selected, infinitely repeating intraoral dental radiographs for the presence of periapical radiolucencies. Both before and after, participants were asked to assess their subjective fatigue using the Swedish Occupational Fatigue Inventory (SOFI), Visual Analogue Scale (VAS), and Numerical Rating Scale (NRS). Diagnostic accuracy was analyzed using the Receiver Operating Characteristics (ROC) method. Furthermore, the correlation between diagnostic accuracy and radiographic experience, image viewing time, and level of training was also evaluated.

RESULTS

The study showed that despite increasing fatigue, the diagnostic accuracy of the examiners remained consistent with an average AUC value of 0.768 ± 0.091. Within the 40-min reporting period, no statistically significant fluctuations were found. The diagnostic accuracy varied depending on the radiographic experience: with many years of radiographic experience, the diagnostic accuracy increased. At the same time, the older study participants with greater radiographic experience became less tired compared to younger study participants during the examination.

CONCLUSIONS

Although an increase in fatigue was observed during the 40-min examination, the diagnostic accuracy of the doctors remained constant.

CLINICAL RELEVANCE

Due to the high workload which needs to be handled in a limited time, medical and dental professionals have reached a certain level of exposition to stress that can lead to physical fatigue. However, the increasing fatigue should not negatively influence the work of the doctors. The study shows that the radiodiagnostic accuracy remained the same.

Dental radiographic procedures during COVID-19 outbreak and normalization period: recommendations on infection control

Dental professionals have always been meticulous about infection control due to high risk of cross-contamination during dental procedures. Nevertheless, there is an urgent need to review and revise our current practice of infection control and develop more strict protocols that will prevent nosocomial spread of infection during COVID-19 outbreak and future pandemics. The risk of contamination is high during dental radiography if proper disinfection techniques are not applied. This document provides advice and guidance for infection control when practicing dental radiography during COVID-19 pandemic.

Challenges for the dental radiology clinic in times of the COVID-19 pandemic

This letter addresses the challenges for the dental radiology clinic in times of the COVID-19 pandemic. It highlights the use of teleradiography and mobile devices, as well as the proper care in disinfecting these equipments. As there are still no specific therapies for COVID-19, biosafety measures that promote containment and prevent the spread of the virus are crucial to stop the outbreak and control a possible new infectious peak.

Trends in CBCT current practice within three UK paediatric dental departments

INTRODUCTION

Cone beam computed tomography (CBCT) is used across all dental specialties and has a number of advantages compared to 2D images. The SEDENTEXCT guidelines provide a number of indications for the use, however there are currently no specific guidelines for paediatric dentistry. The aim of this study was to assess current practice of CBCT imaging within paediatric dental departments in England, audit compliance of CBCT justifications against the standards set by SEDENTEXCT and assess whether the use of CBCT affected the treatment plan for each individual patient.

METHODS

From the retrospective analysis of CBCT examinations taken over a 4-year period across three dental hospitals in the north of England, the following data were collected: age at the time of exposure, clinical indication, region of interest (ROI) and diagnostic findings. Clinical notes were also used to identify whether the CBCT had an effect on the final treatment plan.

RESULTS

A total of 335 CBCT examinations were performed, mean age: 11 years. The number of CBCTs increased each year with a twofold increase in the first 2 years. The main clinical indication in 46% of CBCT examinations was the assessment of localised developing dentition, 68% were in the upper anterior sextant and 61% of CBCT exams were in the mixed dentition age group. The investigations were justified in 100% of the cases.

CONCLUSION

The quantity of CBCT examination in paediatric dental patients is increasing to assist treatment planning but more often to enable improved surgical planning.

Diagnostic Value of Extraoral Periapical Radiograph in Comparison to Intraoral Periapical Radiograph: A Cross-sectional, Institutional Study

Background:

Radiographs form an invaluable adjunct in diagnosis, treatment planning, and postoperative evaluation during patient management in the dental office where intraoral periapical (IOPA) radiographs are the ones most commonly used. However, certain conditions render the placement of film difficult. In such cases, a panoramic radiograph may be taken, but it has the disadvantage of higher radiation exposure and cost. Extraoral periapical (EOPA) technique allows radiographs to be taken on an IOPA film by placing it extraorally. We aimed to evaluate its diagnostic accuracy compared to intraoral bisecting angle technique.

Materials and Methods:

Forty-five patients were randomly selected. Ninety radiographs were taken; two for each patient. First image was obtained by intraoral bisecting angle technique and second by EOPA technique. A scale was devised for the comparison of radiographs taken by the two techniques. Two experienced oral radiologists rated them based on the scale followed by statistical analysis.

Results:

Patients reported increased compliance with the EOPA technique. 84.40% of the EOPA radiographs (EOPARs) were diagnostically acceptable; sensitivity and specificity was 84% and 55%, respectively.

Conclusion:

EOPAR is beneficial in cases where intraoral film placement is difficult, and a radiograph is necessary for patient management, even though it demonstrates comparatively lesser diagnostic accuracy.

Comparison of two cone-beam computed tomography systems in the visualization of endodontic structures

An important part of endodontic diagnosis and treatment is the adequate visualization of root canal anatomy. The objective of the present study was to compare two different three-dimensional cone-beam computed tomography (CBCT) systems, Scanora 3D and 3D Accuitomo 170, with respect to their visualization of endodontic canal systems and potential pathological alterations. Seventy extracted human teeth were investigated with regard to the radiographic detection of number of root canals, lateral canals, root canal fillings and posts, vertical root fractures, and the occurrence of image artifacts. For each evaluation parameter under investigation the radiographic diagnoses obtained by the two different CBCT systems under investigation were similarly accurate, without statistically significant differences. The evaluation of teeth containing highdensity foreign materials was impaired for both CBCT systems because of image artifacts. However, a difference between the CBCT systems was not observed. In conclusion, both CBCT systems were found to be similarly suitable for the visualization of endodontic structures in vitro.

Repeat film analysis and its implications for quality assurance in dental radiology: An institutional case study

CONTEXT

The goal of any radiologist is to produce the highest quality diagnostic radiographs, while keeping patient exposure as low as reasonably achievable (ALARA).

AIMS

The aim of this study was to describe the reasons for radiograph rejections through a repeat film analysis in an Indian dental school.

SETTINGS AND DESIGN

An observational study conducted in the Department of Oral Medicine and Radiology, Manipal College of Dental Sciences, Manipal.

MATERIALS AND METHODS

During a 6-month study period, a total of 9,495 intra-oral radiographs and 2339 extraoral radiographs taken in the Radiology Department were subjected to repeat film analysis.

STATISTICAL ANALYSIS USED

SPSS Version 16. Descriptive analysis used.

RESULTS

The results showed that the repeat rates were 7.1% and 5.86% for intraoral and extraoral radiographs, respectively. Among the causes for errors reported, positioning error (38.7%) was the most common, followed by improper angulations (26.1%), and improper film placement (11.2%) for intra-oral radiographs. The study found that the maximum frequency of repeats among extraoral radiographs was for panoramic radiographs (49%) followed by lateral cephalogram (33%), and paranasal sinus view (14%). It was also observed that repeat rate of intraoral radiographs was highest for internees (44.7%), and undergraduate students (28.2%).

CONCLUSIONS

The study pointed to a need for more targeted interventions to achieve the goal of keeping patient exposure ALARA in a dental school setting.

Utility of extra-oral aiming device in imaging periapical regions of posterior teeth

BACKGROUND

Intraoral film placement and the film holding equipments are not acceptable by many due to varied reasons.

OBJECTIVE

To evaluate the utility of extra-oral aiming device developed by Chia-hui chen for imaging the periapical regions of posterior teeth employing the technique suggested by saberi et al.

MATERIALS AND METHODS

The study subjects included 20 patients in the age group of 10-35 y. The subjects were further subdivided according to the area to be imaged into four groups, with 5 in each. Imaging was done using the device developed by chia-hui chen, with the method employed by newmann and saberi et al., The radiographs were then interpreted for complete coverage of the anatomical structure. The findings were recorded and subjected to Analysis of variance (ANOVA) statistical analysis.

RESULTS

The visibility of imaging area was more in mandible (95%) than maxilla (86.5%). The overall accuracy was 90.75%. These findings were statistically non-significant (F- 2.152 & P-0.134). Among the reason for reduced accuracy, overlapping of the opposite arch (4%) was more common and the horizontal overlapping (0.5%) was least common.

CONCLUSION

This technique is not meant to replace conventional intraoral radiography. It is a useful supplementary aid to our clinical practice.

The role of colour Doppler ultrasonography in the diagnosis of fascial space infections - a cross sectional study

AIMS AND OBJECTIVES

(1) To evaluate the role of ultrasonography with colour Doppler in the diagnosis of fascial space infections, (2) To determine the nature, size and extent of the odontogenic infections which involve the primary and secondary fascial spaces of the maxilla and the mandible (3) To evaluate the sensitivity of ultrasonography in determining whether the inflammatory process is in a stage of cellulitis or abscess and to thus determine the appropriate time for a surgical intervention during the course of the infection and to correlate the clinical and radiographic findings with the ultrasonographic findings and (4) to determine the treatment plan.

METHODOLOGY

Thirty four patients with odontogenic infections which involved the superficial and the deep fascial spaces of the head and neck were subjected to ultrasonographic examinations over the suspected area in the transverse and axial directions to determine the stage of the infection, its anatomic location and the treatment plan.

RESULTS

Ultrasonography showed 95.7% sensitivity and 100% specificity as compared to the clinical and radiographic diagnoses and it proved to be an effective investigation modality in the diagnosis of fascial space infections.