Journal of Dental Science and Medicine
Open Access

Opening of the door; Anatomy of the mollusc; Chamber for pulp; Treatment for a root canal

Introduction

Endodontic therapy is precisely a form of micro-neurologic surgery. Any attempt to perform endodontic therapy necessitates extensive knowledge of the root-canal system and pulp chamber structures prior to an understanding of anatomy because intimate relationships are the primary foundation for all surgical procedures. A doctor looking for an appendix without having read Gray’s Anatomy would attempt to address the root-canal system without providing a comprehensive anatomical description. The location and number of orifices have been extremely vaguely described in previous works on pulp chamber anatomy. The pulp chamber floor’s anatomy has been extensively discussed [1]. When looking for the orifices in the clinical crown, it has been suggested to gain access to a suitable location in the hope of seeing them. There is insignificant data for securely moving toward them in the event that they shouldn’t be visible. It is difficult to locate them without risking significant tooth loss. Any seasoned technicians were aware that it is difficult to find the root-canal orifices of heavily repaired teeth that have been carefully broken down or gouged by prior access. The pulp chamber’s anatomy and floor were examined in this study, and the approximate distance between the proximal margin and the orifices was determined.

In endodontic treatment, a common examination is cone-beam computed tomography (CBCT). Information like the affected tooth’s anatomical morphology and the degree and extent of per apical tissue lesions can be provided by this method. Additionally, it can serve as a reference for selecting the appropriate treatment approach and equipment. CBCT can provide three-dimensional views of the area of interest, in contrast to periapical radiographs, which only provide information in two dimensions. With a small field of view (a few teeth) and high resolution (around 0.1 mm), the small-field CBCT can offer more precise information about teeth and root canals [2]. Numerous studies of root canal morphology, length measurements, and the like have made use of the reconstructed 3D regions of the teeth and pulp that were derived from CBCT images. When treating a variety of oral conditions, such precise knowledge is helpful in the diagnosis, treatment planning, and follow-up, particularly in difficult cases involving numerous and complex root canals.

By utilizing 3D printing innovations, a 3D model of the tooth or root trench from the CBCT picture can give natural data and empower preoperative preparation and recreations. For instance, investigated the possibility of accurately diagnosing and treating a complex case of dens invariants using 3D plastic models printed from CBCT images. Printed 3D tooth replicas using CBCT and a stereo lithographic printer for endodontic education purposes. Also looked into a novel 3D bio printing method to create living dental pulp-like tissue for better root canals.

In spite of the potential advantages that 3D models could bring to clinical activities, experienced doctors typically obtain 3D reconstructions by manually annotating CBCT images. Most of the time, some software goes through hundreds of 2D cross-sectional images one by one to perform the annotation [3]. As a result, it can take several hours per tooth and is frequently subjective. Several studies tried threshold-based or optimization-based traditional methods on a 2D-image basis to get automatic and objective segmentation of the tooth root canal from CBCT images. The results were promising. Due to the thin, complex, and variable characteristics of root canals, particularly in the apical region, it is still a challenging and open task despite these pioneer studies. The accuracy of subsequent quantitative measurements or surgical planning may suffer as a result of 2D segmentation techniques’ tendency to ignore the spatial correlation between cross-sections, which results in 3D reconstructions which are either discontinuous or irregular. As a result, investigating the 3D approach in this use case, which can make use of 3D spatial information to improve segmentation, is very interesting. In addition, it’s possible that the evaluation metrics utilized in previous works are insufficient to evaluate the root canal’s most challenging apical region. There were some of them who compared the various volume sizes. New metrics should be designed to better analyze accuracy around the root tip.

For the precise detection and segmentation of tooth and root canals from CBCT images in two stages, respectively, we propose two novel 3D neural networks in this paper. In order to learn useful representations for the segmentation tasks from limited data samples, we develop various network-based multi-task feature learning strategies [4]. By jointly optimizing spatial embedding and clustering seed maps, we first formulate tooth instance segmentation as a clustering task. By incorporating an auxiliary regression task for the apical foramen into the segmentation network during the second stage, we are able to produce a precise reconstruction of the root canal. We present new metrics for measuring distance errors close to the apical foramen in order to accurately assess the segmentation precision for the thin anatomy of a root canal. The method’s dependability and precision are demonstrated by our experiments. In addition, we conducted two clinical case studies to demonstrate that, by enhancing the efficacy of personalized root canal treatment planning, our method can benefit practical root canal treatment.

Method and Materials

Three thousand permanent human molar teeth were extracted for orthodontic and periodontal reasons. Cbct was used to look at the teeth to see how far apart the proximal margin and the orifice location were.

The eligibility requirements for the

(i) Permanent molars those are free of fractures, fillings, or caries.

(ii) High-quality CBCT images

Utilizing Care stream Dental’s CS 3D Imaging Software, which operates at a voltage of 80 kV and a current of 5.0 mA with a 17-second exposure, images or radiographic methods are obtained. The size of the field of view was between 40 and 60 millimetres. A licensed oral radiologist performed each and every CBCT scan in accordance with the instructions provided with the product.

Treat it as a circular target, as the CBCT images of the scanned samples confirm the average distance. Even at an acute angle to the root, the CEJ can still be a reliable landmark. The pulp-chamber floor and chamber are both anatomically represented. The location of the chamber and the root-canal orifice are two fundamental surgical anatomical concepts that can now serve as the foundation for the practice of endodontic.

The author expresses sincere appreciation to Krasner and Rancho for their outstanding work. Because of this, measuring instruments are less important than laws [5]. With this anatomical foundation, additional equipment, such as microscopes, can be used logically not only for display but also as therapeutic instruments.

Data collection

The purpose of the data collection was to imitate the typical patient’s goal-oriented YouTube browsing, or searching for specific information rather than general information. Utilizing www.youtube. com and a private browser, data collection was carried out to remove any influence from existing user Internet/search cookies. Keywords to use. The default search filters, which sorted videos by relevance, remained in place. At the time this article was written, YouTube’s layout consisted of a continuous feed of search results that the user could scroll down to view videos. There is currently no research that looks at how many videos people watch after a YouTube search. As a result, the examiners agreed that the first ten videos for each search term would be included, as did previous similar studies. In order to reflect the search habits of the typical layperson, a limit of ten videos was set [6]. Videos that were duplicates, were not in English because we did not have the resources to translate them, or lasted longer than one hour were excluded because they may have been unusual for an interaction on YouTube. Another member of the research team verified the comparability and reliability of each preliminary search.

Content analysis

Quantitative content analysis was used in the analysis of Manifest. The source, upload date, duration, number of views, interactions (based on likes and dislikes), target audience, and number of comments were all evaluated for each video. The content and format of ten of the most watched videos were further examined in a subsample.

SPSS 27 (IBM Corp., Armonk, NY) was used to analyze quantitative data. Due to the small numbers in some cells, we were unable to complete either the 1-way analysis of variance or the Kruskal-Wallace H testing of significance for the source and other variables, which was our intention; Consequently, descriptive statistics were used.

Results and Discussion

As a result of recent changes made to YouTube, the user is unable to see all of the available results for each search term. As a result, a total of 120 videos were found by combining the aforementioned search terms. 50 videos were selected for analysis after exclusion criteria were applied.

The videos had a mean overall quality of 2.20, which was relatively low. The total scores of the videos ranged from one to four, and the sources varied; Videos produced by regulatory bodies were the only source that did not produce a video with a rating, and they had the highest mean score (5.00) [7]. They were viewed the least and interacted with the least, whether in terms of likes, dislikes, or comments, despite having the shortest mean length (23 seconds). Non-clinicians and news/media produced the videos with the lowest overall quality (mean 1.5). These were typically more engaging and tended to be longer.

Our findings reveal that the risk information on YouTube for endodontic treatment is generally of poor quality. Information produced by regulatory bodies and clinicians was typically of high quality when categorized by subgroup. However, there were the fewest video views in these two categories. Views are, without a doubt, the most important factor in a video’s success and popularity, with higher-quality videos not always receiving more views. It is common knowledge that user interactions drive YouTube and other social media platforms, with improved interactions promoting videos and increasing engagement. Our findings suggest that the drawback of this approach is that these videos have the lowest engagement with comments, which has a negative effect on views. Existing policy for regulatory bodies and institutions suggests limiting interactions and removing or prohibiting interactions to prevent possible ramifications in terms of liability, litigation, and privacy.

While interactions drive views, we must also take into account how videos begin to gain traction. The “click baiting” and “rabbit hole effect” are two well-known concepts in the literature. The use of sensationalist titles or eye-catching thumbnails to entice users to open content is known as click baiting, and it is closely associated with “fake news.” You’ll Never Have a Root Canal After Watching This and Say NO to Root Canals—Damaging to Your Health are two examples from our study. A phrase that was used to illustrate how click-baiting or misleading ideas can spread information against vaccination demonstrated that search networks and video recommendations for antivaccine videos are typically more extensive and interconnected than information supporting vaccination [8]. As a result, misinformationbased information makes it much simpler for the user to fall down the rabbit hole. The holistic dentistry community primarily in North America exhibits a similar trend in this study. Large numbers of these recordings use sentimentalist “click-goading” titles to draw the client’s consideration. The majority of these videos contain false information regarding RCT-related general health complications, such as cancer and arthritis. A separate concern regarding public perception of the information’s source arises from this. Self-proclaimed “holistic dentists” are licensed and qualified dental professionals, and the general public will likely view them as a reliable source, particularly if general ideologies align; However, more research is needed on this.

According to our research, endodontic treatment risks are discussed in a variety of ways on YouTube. There is a wealth of contradictory and misleading advice available to the typical user [9]. According to existing studies, evidence-based information has a lower probability of being found than information that is misleading. In general, the dental profession must improve its response to misinformation and its online presence for information-seeking users. Recently, several strategies to combat misinformation were proposed. First, the use of so-called “individual fact checkers” who comment on posts to dispel false information on social media. Individual dentists need to work together, and dental associations like the American Dental Association need to make a “call to arms” to encourage their members to fact-check online information.

It has also been suggested that repeating a false claim with evidence-based information in debunking posts can be a good way to get user engagement and responses. A second suggestion is that institutions, organizations, and individual fact checkers should take a strategic approach. These groups should work together to promote similar websites or URLs, which will make evidence-based information more prominent. Co-sharing networks (suggested videos or similar posts) would be improved and the spread of false information would be curtailed. On test data, the “clickbait video detector” identified 95.4 percent of click-baiting videos with excellent results. This tool can be adapted to highlight sensationalist or misleading dental videos, and when used in conjunction with a blocking or reporting tool, it may be able to successfully remove and reduce these videos. Enhancing the online presence of primarily large institutions, such as specialist organizations and universities, to promote evidence-based information is the final suggested tool [10]. Only a video from the American Association of Endodontists and no information from universities were presented in our study.

Conclusion

The overall results of this study show that YouTube provides little information about the risks of root canal treatments. Patients’ perceptions of root canal treatments and their decision-making regarding treatment will likely be negatively impacted by this inaccurate and, in some instances, misleading information, raising the risk of dental morbidity.

In order to stop the spread of poor-quality medical information, we believe that platforms like YouTube need to be subjected to greater scrutiny and critical review.

The dental profession can no longer assume that our patients get their information from our offices. In order to enhance the evidence base and the amount of information that is accessible to the general public, the dental community—particularly institutions and organizations— needs to have a greater voice and online presence. Video content that is engaging and authoritative can be strategically created to reduce the amount of false information out there and help patients make better decisions.

Acknowledgement

None

Conflict of Interest

None

1. Haq AU, Carotenuto F, Nardo PD, Francini R, Prosposito P, et al. (2021) Extrinsically Conductive Nanomaterials for Cardiac Tissue Engineering Applications. Micromachines (Basel) 12: 914.

Indexed at, Google Scholar, Crossref

2. Zhang X, Chen X, Hong H, Hu R, Liu J, et al. (2021) Decellularized extracellular matrix scaffolds: Recent trends and emerging strategies in tissue engineering. Bioact Mater 10: 15-31.

Indexed at, Google Scholar, Crossref

3. Whitehead KM, Hendricks HKL, Cakir SN, Brás LEDC (2022) ECM roles and biomechanics in cardiac tissue decellularization. Am J Physiol Heart Circ Physiol 323: H585-H596.

Indexed at, Google Scholar, Crossref

4. Zhang W, Yelick PC (2021) Tooth Repair and Regeneration: potential of Dental Stem Cells. Trends Mol Med 27: 501-511.

Indexed at, Google Scholar, Crossref

5. Nazir MA (2017) Prevalence of periodontal disease, its association with systemic diseases and prevention. Int J Health Sci 11: 72-80.

Indexed at, Google Scholar, Crossref

6. Lacruz RS, Habelitz S, Wright JT, Paine ML (2017) Dental enamel formation and implications for oral health and disease Physiol Rev 97: 939-993.

Indexed at, Google Scholar, Crossref

7. Tompkins K (2006) Molecular mechanisms of cytodifferentiation in mammalian tooth development. Connect Tissue Res 47: 111-118.

Indexed at, Google Scholar, Crossref

8. Goldberg M, Kulkarni AB, Young M, Boskey A (2011) Dentin: structure, composition and mineralization. Front Biosci (Elite edition) 3: 711-735.

Indexed at, Google Scholar, Crossref

9. Yamamoto T, Hasegawa T, Yamamoto T, Hongo H, Amizuka N, et al. (2016) Histology of human cementum: its structure, function, and development. Jpn Dent Sci Rev 52: 63-74.

Indexed at, Google Scholar, Crossref

10. Woo HN, Cho YJ, Tarafder S, Lee CH. (2021) The recent advances in scaffolds for integrated periodontal regeneration. Bioact Mater 6: 3328-3342 .

Indexed at, Google Scholar, Crossref