The Endodontic Complexity Assessment Tool (E-CAT): A digital form for assessing root canal treatment case difficulty

EUROPEAN SOCIETY OF ENDODONTOLOGY Undergraduate Curriculum Guidelines for Endodontology

Undergraduate education should accomplish graduates who are skilled to provide quality care for patients, who are aware of their scope of practice, competency level and limits and who are open to referring patients whose needs are beyond their own skills and experience. They should also become self-efficacious. Quality performance begins with good diagnosis and decision-making. Graduates should understand when to treat, why to treat, what to treat and how to treat. These guidelines include a list of capabilities that the graduating student will be expected to have achieved to provide a minimum level of competency in endodontics. Theoretical knowledge, practical skills, understanding and insight should be assessed, with both formative and summative assessment procedures, making use of reflection and feedback. Endodontic procedures should be undertaken within the context of comprehensive patient care and should be evidence based. Students should not perform treatments on patients until they have demonstrated in a pre-clinical setting that they possess the required skills. Only if it is not possible to simulate a specific procedure sufficiently in a pre-clinical setting should students learn this procedure by performing it clinically under close supervision. Clinical endodontics should ideally be supervised by endodontists or by staff with special knowledge, interest and self-efficacy in endodontics. It is advised to ensure that students apply their knowledge and practice their skills periodically throughout the continuum of endodontic education until graduation. A philosophy of lifelong learning and evidence-based practice should be instilled in all dental undergraduates.

A comparison of radiographically determined periapical healing and tooth survival outcomes of root canal (re)treatment performed in two care pathways within the United Kingdom Armed Forces

AIMS

To compare radiographic periapical healing and tooth survival outcomes of root canal (re)treatment performed within two care pathways (Routine Dental Care and Referred Treatment Pathway), in the United Kingdom Armed Forces (UKAF), and determine the effects of endodontic complexity on outcomes.

METHODOLOGY

This retrospective cohort study included 1466 teeth in 1252 personnel who received root canal (re)treatment between 2015 and 2020. General Dental Practitioners treated 661 teeth (573 patients) (Routine cohort), whilst Dentists with a Special Interest treated 805 teeth (678 patients) (Referred cohort). The latter group were graduates of an MSc programme in Endodontics with 4-8 years of postgraduation experience. Case complexity was retrospectively determined for each tooth using the endodontic component of Restorative Index of Treatment Need (RIOTN) guidelines. Periapical healing was determined using loose radiographic criteria. The data were analysed using chi-square tests, univariate logistic regression and Cox proportional hazards models.

RESULTS

A significantly (p < 0.0001) larger proportion of cases of low complexity had undergone root canal treatment within the Routine versus Referred cohort. The odds of periapical healing was significantly higher within the Referred versus Routine cohort, regardless of analyses using pooled (OR = 1.17; 95% CI: 1.11, 1.22) or moderate complexity (OR = 4.71; 95% CI: 2.73, 8.11) data. Within the Routine cohort, anterior teeth had higher odds of periapical healing than posterior teeth (OR = 1.13; 95% CI: 1.04, 1.22). The 60-month cumulative tooth survival was lower (p = 0.03) in the Routine (90.5%) than the Referred (96.0%) cohort. Within the Routine cohort, the hazard of tooth loss was higher amongst posterior teeth (HR = 4.03; 95% CI: 1.92, 8.45) but lower if posterior teeth had cast restorations (HR = 0.36; 95% CI: 0.19, 0.70). For the Referred cohort, posterior teeth restored with cast restoration (vs not) had significantly lower risk of tooth loss (HR = 0.21; 95% CI: 0.08, 0.55).

CONCLUSIONS

For UKAF patients, root canal (re)treatment provided within the Referred pathway was significantly more likely to achieve periapical healing and better tooth survival than those provided within the Routine pathway. Posterior teeth restored with an indirect restoration had a higher proportion of tooth survival. This study supported the utility of the endodontic component of RIOTN for assessing case complexity.

Specialists' management of permanent dentition traumatic dental injuries in 7-16-year-olds: A qualitative study

BACKGROUND/AIM

Specialist paediatric dentists are integral to dental trauma care pathways. General dentists rely on specialist input, more so in complex cases. Little is known about specialists' role in these pathways or the perceived barriers they face. The aim is to explore specialists' role in managing traumatic dental injuries in the permanent dentition in children.

MATERIAL/METHODS

Face-to-face (remote video) online semi-structured interviews were undertaken. All UK specialists were invited by email. Purposeful sampling aimed to investigate representation from the devolved nations, presence/absence of working within a managed-clinical network and level of care provision. Interviews were audio-recorded and transcribed verbatim. Transcripts were thematically analysed.

RESULTS

Data saturation was reached after nine interviews. Three main themes established were: inconsistent access to care; the need to formalise traumatic dental injuries care pathways; educationally upskilling general dentists. Geographical variation in provision of specialist and out-of-hours/emergency department care meant patients risked not receiving care by the most appropriate individual. Formalizing care pathways by clearly defining the role of each stakeholder (specialist, dentist, medical professionals and parents) and developing a method to assess complexity was perceived to be essential to improving treatment outcomes. Upskilling general dentists in trauma management appeared essential. A potential lack of engagement was raised, with a suggestion that trauma management education should become core continuing-professional development.

CONCLUSIONS

Specialist input should be available in the management of traumatic dental injuries. Current access to specialist care is inequitable across the UK. Formalizing care pathways and upskilling general dentists could ease inconsistencies.

Deep learning for determining the difficulty of endodontic treatment: a pilot study

BACKGROUND

To develop and validate a deep learning model for automated assessment of endodontic case difficulty from periapical radiographs.

METHODS

A dataset of 1,386 periapical radiographs was compiled from two clinical sites. Two dentists and two endodontists annotated the radiographs for difficulty using the "simple assessment" criteria from the American Association of Endodontists' case difficulty assessment form in the Endocase application. A classification task labeled cases as "easy" or "hard", while regression predicted overall difficulty scores. Convolutional neural networks (i.e. VGG16, ResNet18, ResNet50, ResNext50, and Inception v2) were used, with a baseline model trained via transfer learning from ImageNet weights. Other models was pre-trained using self-supervised contrastive learning (i.e. BYOL, SimCLR, MoCo, and DINO) on 20,295 unlabeled dental radiographs to learn representation without manual labels. Both models were evaluated using 10-fold cross-validation, with performance compared to seven human examiners (three general dentists and four endodontists) on a hold-out test set.

RESULTS

The baseline VGG16 model attained 87.62% accuracy in classifying difficulty. Self-supervised pretraining did not improve performance. Regression predicted scores with ± 3.21 score error. All models outperformed human raters, with poor inter-examiner reliability.

CONCLUSION

This pilot study demonstrated the feasibility of automated endodontic difficulty assessment via deep learning models.

Negotiation of Calcified Canals

The gradual formation of hard tissue along the root canal walls is a natural process associated with aging, typically progressing slowly over time. In reaction to tooth wear, operative procedures, vital pulp treatments, or regenerative endodontic procedures, hard tissue may also accumulate within the pulp canal space at a slow rate. In certain cases, such as dental trauma, autotransplantation, or orthodontic treatment, this deposition of hard tissue can accelerate unexpectedly, resulting in rapid narrowing or complete closure of the root canal space. This situation is called calcific metamorphosis (CM), root canal calcification, or pulp canal obliteration (PCO). Performing conventional endodontic therapy on severely calcified canals presents significant challenges and increases the risk of procedural accidents. Calcified canals introduce such complexity that dedicated negotiation concepts and specially designed instruments have been developed to deal with the challenge. This article seeks to review the existing methods for effectively navigating calcified canals and to introduce the buckling resistance activation test (BRAT) technique.

Expert consensus on difficulty assessment of endodontic therapy

Endodontic diseases are a kind of chronic infectious oral disease. Common endodontic treatment concepts are based on the removal of inflamed or necrotic pulp tissue and the replacement by gutta-percha. However, it is very essential for endodontic treatment to debride the root canal system and prevent the root canal system from bacterial reinfection after root canal therapy (RCT). Recent research, encompassing bacterial etiology and advanced imaging techniques, contributes to our understanding of the root canal system's anatomy intricacies and the technique sensitivity of RCT. Success in RCT hinges on factors like patients, infection severity, root canal anatomy, and treatment techniques. Therefore, improving disease management is a key issue to combat endodontic diseases and cure periapical lesions. The clinical difficulty assessment system of RCT is established based on patient conditions, tooth conditions, root canal configuration, and root canal needing retreatment, and emphasizes pre-treatment risk assessment for optimal outcomes. The findings suggest that the presence of risk factors may correlate with the challenge of achieving the high standard required for RCT. These insights contribute not only to improve education but also aid practitioners in treatment planning and referral decision-making within the field of endodontics.

Limitations and Management of Dynamic Navigation System for Locating Calcified Canals Failure

Nonsurgical endodontic teeth treatment with severe pulp canal obliteration poses challenges, primarily locating canals. By combining 3-dimensional reconstruction and spatial location registration, the dynamic navigation technique uses an optical tracking system to guide the clinician to drill in real time according to the predesigned path until access to the canal is established. Several in vitro studies and case reports have shown that calcified canal location with dynamic navigation system (DNS) is more accurate and efficient, yet the technique has limitations. In 4 cases with 7 teeth, this work presents manipulation process and clinical outcomes of DNS helping in calcified canal location. We performed handpiece adaptation and elucidated the failure to locate the canals with DNS in 2 teeth, resulting in canal geometry alteration and canal path deviation. Subsequently, the more experienced endodontist located the canals by combining cone-beam computed tomographic imaging and dental operating microscopy. All patients were completely asymptomatic after treatment. At the 1-year follow-up visit, the bone healing of periapical lesions progressed well according to the periapical radiography or cone-beam computed tomographic imaging. These findings indicate that DNS is a promising technique for locating calcified canals; however, it needs to be refined before clinical use.

Effectiveness of endodontic complexity assessment tool (E-CAT) on the undergraduate students in an endodontic training program and its predictive capability on complications

INTRODUCTION

Dental students face a number of challenges when it comes to performing root canal treatments (RCTs). The Endodontic Complexity Assessment Tool (E-CAT) was developed to assist dental practitioners in assessing the complexity of RCTs before beginning treatment.

MATERIALS AND METHODS

The E-CAT was filled out independently by both the educator and the student. To allow educators to record scores and complexity classes, they transferred their and students' forms to the website https://www.e-cat.uk/. Students began endodontic treatment after learning about the complexity level of the case. The educators were responsible for recording any complications encountered in every case from the outset to 1 month after treatment.

RESULTS

A total of 70 students, 33 in fourth and 37 in fifth-grade, were included in the study. In the cases with higher E-CAT scores, complications such as misdiagnosed, faulty access cavity, furca or coronal third perforation, insufficient root canal instrumentation, working length loss, canal blockage, overpreparation, incomplete root canal filling and overfilling were experienced significantly more often compared to the cases with lower E-CAT scores (p < .05). The number of complications (r = .40, p < .001), treatment sessions (r = .44, p < .001), and teacher support (r = .24, p < .001) positively correlated with E-CAT score (p < .05).

CONCLUSION

The E-CAT is an effective tool for assisting dental students in understanding technical challenges, such as complex root canal anatomy and possible complications during treatment. Educators can also use e-CAT to pre-select clinical cases and standardise student training by offering cases of equal complexity.

An Endodontic forecasting model based on the analysis of preoperative dental radiographs: A pilot study on an endodontic predictive deep neural network

INTRODUCTION

This study aimed to evaluate the use of deep convolutional neural network (DCNN) algorithms to detect clinical features and predict the three years outcome of endodontic treatment on preoperative periapical radiographs.

METHODS

A database of single-root premolars that received endodontic treatment or retreatment by endodontists with presence of three years outcome was prepared (n = 598). We constructed a 17-layered DCNN with a self-attention layer (PRESSAN-17), and the model was trained, validated, and tested to 1) detect seven clinical features, i.e., full coverage restoration (FCR), presence of proximal teeth (PRX), coronal defect (COD), root rest (RRS), canal visibility (CAV), previous root filling (PRF), and periapical radiolucency (PAR), and 2) predict the three years endodontic prognosis by analyzing preoperative periapical radiographs as an input. During the prognostication test, a conventional DCNN without a self-attention layer (RESNET-18) was tested for comparison. Accuracy and area under the receiver-operating-characteristic (ROC) curve (AUC) were mainly evaluated for performance comparison. Gradient-weighted class activation mapping (Grad-CAM) was used to visualize weighted heatmaps.

RESULTS

PRESSAN-17 detected FCR (AUC = 0.975), PRX (0.866), COD (0.672), RRS (0.989), PRF (0.879) and PAR (0.690) significantly, compared to the no-information rate (p<0.05). Comparing the mean accuracy of 5-fold validation of two models, PRESSAN-17 (67.0%) showed a significant difference to RESNET-18 (63.4%, p<0.05). Also, the area under average ROC of PRESSAN-17 was 0.638, which was significantly different compared to the no-information rate. Grad-CAM demonstrated that PRESSAN-17 correctly identified clinical features.

CONCLUSIONS

Deep convolutional neural networks may aid in the prognostication of endodontic treatment outcome.

The landscape of endodontic education research area: A bibliometric analysis

OBJECTIVES

Educational research is essential for rationalizing curriculum design, improving evaluation systems, and updating teaching content. This bibliometric study aimed at analyzing the characteristics of publications relevant to endodontic education, thus forming a comprehensive scope of this research area.

METHODS

The search was conducted in the Web of Science Core Collection database in May 2022. Knowledge units of the included publications, such as year of publication, journal, country/institution/author, keywords, and highly cited articles/references, were analyzed.

RESULTS

The United States ranked first in the number of articles with a total of 17 articles. The majority of included articles were published in Journal of Dental Education (n = 25), International Endodontic Journal (n = 21), and European Journal of Dental Education (n = 14). The top 3 most frequent keywords were Endodontics, Education, and Root canal treatment. The main topic in endodontic education were curriculum, preclinical education, educational technology, and continuing education.

CONCLUSION

Forming a full scope of the endodontic research area, this bibliomertic analysis can help mine the hot topic, predict the frontiers in the field and provide the data necessary to determine the direction of research, rationalize resource allocation, and formulate policy.

Preoperative risk assessment does not allow to predict root filling length using machine learning: A longitudinal study

OBJECTIVES

First we aimed to identify significant associations between preoperative risk factors and achieving optimal root filling length (RFL) during orthograde root canal treatments (RCT) and second to predict successful RFL using machine learning.

METHODS

Teeth receiving RCT at one university clinic from 2016-2020 with complete documentation were included. Successful RFL was defined to be 0-2mm of the apex, suboptimal RFL >2mm or beyond the apex. Logistic regression (logR) was used for association analyses; logR and more advanced machine learning (random forest (RF), support vector machine (SVM), decision tree (DT), gradient boosting machine (GBM) and extreme gradient boosting (XGB)) were employed for predictive modeling.

RESULTS

555 completed RCT (343 patients, female/male 32.1/67.9%) were included. In our association analysis (involving the full dataset), unsuccessful RFL was more likely in undergraduate students (US): OR 2.74, 95% CI [1.61, 4.75], p < 0.001), teeth with indistinct canal paths (OR 11.04, [2.87, 44.88], p < 0.001), root canals reduced in size (OR 2.56, [1.49, 4.46], p < 0.01), retreatments (OR 3.13, [1.6, 6.41], p < 0.001). Subgroup analyses revealed that dentists were more successful in mitigating risks than undergraduate students. Prediction of RFL on a separate testset was limitedly possible regardless of the machine learning approach.

CONCLUSIONS

Achieving RFL is depending on the operator and several risk factors. The predictive performance on the technical outcome of a root canal treatment utilizing ML algorithms was insufficient.

CLINICAL SIGNIFICANCE

Preoperative risk assessment is a relevant step in endodontic treatment planning. Single radiographic risk factors were significantly associated with achieving (or not achieving) optimal RFL and showed higher predictive value than a more complex risk assessment form.

Treatment of Pulp Canal Obliteration Using a Dynamic Navigation System: Two Case Reports

Endodontic treatment of calcified canals presents a major challenge because of the high incidence of complications, such as perforation, canal geometry alteration, and loss of dental hard tissue. The dynamic navigation technique uses an optical tracking system for real-time navigation to guide the operator to drill according to the preoperative plan and obtain access to the calcified canals. This article describes in detail the use, advantages, disadvantages, and limitations of a novel dynamic navigation system (DNS) in two cases with severely calcified canals. The findings in these cases demonstrate that DNS is a promising technique for the location of calcified root canals.

The epidemiology of endodontic complexity in general dental practice: a prevalence study

Aim To determine the prevalence and the epidemiology of the factors influencing endodontic complexities in general dental practice.Method Eligible cases where endodontic treatment was indicated as a treatment option were collected by a total of 30 general dental practitioners based in the UK. Online-based Endodontic Complexity Assessment Tool (E-CAT) was used to determine the perceived complexity of each case. In total, 22 categories, including patient- and tooth-related factors, were recorded.Results Collectively, 435 non-surgical root canal treatment cases were assessed. Overall, 72% of the root canal treatments encountered in general dental practice were found to be either uncomplicated (Class I) or moderately complicated (Class II) and can be considered within the remit of general dental practitioners. Despite the relatively equal distribution of the assessed teeth, the proportion of extraction as a proposed treatment for posterior teeth was more than double that of anterior teeth.Conclusion The results obtained in this study provide a good resource and databank for researchers, educators, public health commissioners and academic institutions to access a wide range of information concerning the prevalence and distribution of endodontic complexity.

The objectives and instructional design of undergraduate endodontic program: multicenter cross-sectional study in Saudi Arabia

BACKGROUND

Identify the objectives and the instructional design of undergraduate endodontics in dental schools in Saudi Arabia.

METHODS

The online questionnaire was developed from an original survey conducted in the United Kingdom. The questionnaire was modified for purpose of the study and the region of interest. Then it was directed and emailed to the undergraduate endodontic program directors in twenty-six dental schools in Saudi Arabia. The results were analyzed using descriptive statistics and the Chi-square and Fisher's exact tests.

RESULTS

The response rate was 96.15%. The number of credit hours for preclinical endodontic courses was up to four credit hours (84%). Students were clinically trained to do vital pulp therapies (92%), root canal treatment (100%), and root canal retreatment (68%). The majority of dental schools define the minimum clinical requirements (92%). Practical and clinical competency exams were used to evaluate students' performance (92% and 84% respectively). The students were trained to treat cases of minimal (52%) to moderate complexity (48%). Endodontic treatment consent and difficulty assessment form were used by 32% and 60% of dental schools respectively. There was no significant difference in the instructional design between public and private dental schools (P > 0.05).

CONCLUSION

The endodontic undergraduate objectives were to graduate competent clinicians who acquired basic science of endodontics and who know their limitations as it is necessary for a safe general dental practice. The use of endodontic treatment consent and case difficulty assessment should be wisely considered in clinical training.

Present status and future directions -Management of curved and calcified root canals

Root canal curvature and calcification introduce factors that increase the risk of procedural accidents during root canal treatment. The inability to achieve patency to the apical third, asymmetrical dentine removal leading to transportation, perforation and instrument fracture inside the curved trajectories are some of the procedural problems that might jeopardize the management of intraradicular infection and result in poor treatment outcomes. In fact, curved and constricted canals introduce such complexity that total instrumentation concepts and specially designed instruments have been developed to deal with the challenge. This narrative review seeks to provide and consolidate the principles necessary for understanding the dynamics of curved and constricted canal management and to improve the understanding for future developments in this field.

Usefulness of an Endodontic Case Difficulty Assessment Form of Root Canal Treatments in Dental Education in Finland

According to current care guidelines, it would be beneficial to evaluate the difficulty of a root canal treatment (RCT) after the decision of an indicated RCT. For this matter, several difficulty assessment forms have been developed. In this pilot study, fifth-year dental students evaluated the usefulness of the Endodontic Case Difficulty Assessment Form (ECAF) presented in the Finnish Current Care Guidelines for Endodontic Treatment (2014). Another aim was to postoperatively investigate how well the evaluation by dental students using the ECAF associated with the outcome of RCT evaluated by a specialist in endodontics. The dental students’ (n = 33) and the supervisor’s assessments of the RCTs were compared postoperatively at the Dental Educational Unit, Oulu, Finland. After completing the ECAF, the students’ experiences of its use were explored with a structured form. In ECAF, patient-derived factors, such as gagging, deviant crown morphology, and complications in previous endodontic treatment, were all significantly associated with complications in RCTs by the dental students (p < 0.05). The assessments by students and the supervisor differed in 55% of cases, especially in moderately difficult cases. In the majority of these cases (71%), the students evaluated the case to be easier than the teacher. Students found the ECAF user-friendly, even if it did not demonstrate their competence in accomplishing RCTs. The ECAF appears useful for junior dentists, specifically in terms of distinguishing the least and most difficult cases. A simpler form could be useful for students and clinicians.