Cone‐beam computed tomography accuracy in pulp chamber size evaluation: An <i>ex vivo</i> study

Maddalone, Marcello; Citterio, Claudio Luigi; Pellegatta, Alberto; Gagliani, Massimo; Karanxha, Lorena; Fabbro, Massimo Del

doi:10.1111/aej.12378

Cited by 9 publications

(11 citation statements)

References 25 publications

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“…Figure 9 shows the results of multiple watershed algorithm [ 6 ], Chan–Vese segmentation algorithm [ 25 ], graph cut segmentation algorithm [ 3 ], and the algorithm in this paper on the test set. It shows that the neural network model has a well effect in image segmentation.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…For example, both CT and MRI images give anatomical information of target, but MRI is better at distinguishing soft tissues with similar densities such as gray matter and white matter in the brain tissue. CT images are better in areas with large differences in the density of bone tissues [ 5 , 6 ]. Nevertheless, the continuous two-dimensional slice image set provided by these devices can only intuitively receive certain section information of a certain part of the organ, and it is easy to get tired.…”

Section: Introductionmentioning

confidence: 99%

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Image Segmentation Technology Based on Attention Mechanism and ENet

Ling

Hou

Gong

2022

Computational Intelligence and Neuroscience

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With the development of today’s society, medical technology is becoming more and more important in people’s daily diagnosis and treatment and the number of computed tomography (CT) images and MRI images is also increasing. It is difficult to meet today’s needs for segmentation and recognition of medical images by manpower alone. Therefore, the use of computer technology for automatic segmentation has received extensive attention from researchers. We design a tooth CT image segmentation method combining attention mechanism and ENet. First, dilated convolution is used with the spatial information path, with a small downsampling factor to preserve the resolution of the image. Second, an attention mechanism is added to the segmentation network based on CT image features to improve the accuracy of segmentation. Then, the designed feature fusion module obtains the segmentation result of the tooth CT image. It was verified on tooth CT image dataset published by West China Hospital, and the average intersection ratio and accuracy were used as the metric. The results show that, on the dataset of West China Hospital, Mean Intersection over Union (MIOU) and accuracy are 83.47% and 95.28%, respectively, which are 3.3% and 8.09% higher than the traditional model. Compared with the multiple watershed algorithm, the Chan–Vese segmentation algorithm, and the graph cut segmentation algorithm, our algorithm increases the calculation time by 56.52%, 91.52%, and 62.96%, respectively. It can be seen that our algorithm has obvious advantages in MIOU, accuracy, and calculation time.

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Section: Experimental Results and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Image Segmentation Technology Based on Attention Mechanism and ENet

Ling

Hou

Gong

2022

Computational Intelligence and Neuroscience

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“…In contrast to equine hypsodont teeth, a common pulp chamber is placed in the crown region in the brachydont teeth of humans, which gives rise to pulp canals in the apical direction [14,16]. Using cone-beam computed tomography (CBCT), the dimensions of the pulp chamber have been determined in human teeth [33,34]. The pulp chambers in young human teeth feature cross-sectional diameters of up to 10 mm 2 .…”

Section: Morphology: Age-related Changes In the Equine Dental Pulpmentioning

confidence: 99%

“…Detailed knowledge of the spatial dimensions and architecture of the pulp compartments is of central importance for modern endodontic treatment approaches in human dental medicine. Therefore, it has been recommended to display the three-dimensional anatomy of the pulp systemthrough the use of cone-beam computed tomography prior to endodontic treatment [34,36,37].…”

Section: Morphology: Age-related Changes In the Equine Dental Pulpmentioning

confidence: 99%

The Equine Dental Pulp: Histomorphometric Analysis of the Equine Dental Pulp in Incisors and Cheek Teeth

Roßgardt

Heilen

Büttner

et al. 2022

Veterinary Sciences

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To maintain a healthy and functional status, equine hypsodont teeth have to produce lifelong large amounts of subocclusal dentin to prevent occlusal pulp exposure, which is caused by occlusal wear. To examine the cyto- and histological components that guarantee the lifelong high productivity of equine pulp, a limited number of ten incisors and ten cheek teeth from seven adult horses (aged 5 to 24 years) and five foals were sampled for preliminary histomorphometric and histomorphological evaluations. Independently of age, the equine dental pulp featured constant layers of predentin and odontoblastic cells, as well as soft connective tissue, composed of a cellular fibrous matrix, in which blood vessels and nerve fibers were embedded. As a result of the progressive deposition of newly formed dentin, the layer of dentin became thicker with age, and the size of the pulp chamber decreased. In contrast to the brachydont teeth, the morphological characteristics of the odontoblastic layer and the width of the predentin layer did not change with age. Therefore, it is assumed that the equine pulp tissue retained their juvenile status, which explains its unchanged ability to produce high amounts of subocclusal dentin. These preliminary, but clinically significant, findings are worthy of further investigation in order to identify strategies for equine-specific endodontic therapies.

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“…In the last years, it has been reported the use CBCT to determine the volume of the dental pulp chamber but, as far as we know, studies corroborating its accuracy and reproducibility are not available. Thus, this study was designed to validate the precision CBCT by comparing pulp chamber volume measurements ex vivo obtained with Promax ® 3D Max CBCT and those obtained with micro-CT. A recent study by Maddalone et al [26] concluded that CBCT is suitable for pulp chamber morphology evaluation with limitations in detecting the anatomical variability of small branches in root canal system.…”

Section: Introductionmentioning

confidence: 99%

Cone-Beam Computed Tomography for the Evaluation of Dental Pulp Chamber Volume: Implications for Clinics and Teaching

Llacer-Martínez,

Martín-Biedma,

Sanz

et al. 2024

Preprint

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Dental pulp chamber volume is a fundamental measurement in the field of endodontics, but also in forensic sciences, teaching and training, or tissue engineering. This study evaluates the precision of cone beam computed tomography (CBCT) in comparison with computed micro-tomography (micro-CT) in evaluating pulp chamber volume of upper central incisors ex vivo. The intra-operator and inter-operator error were evaluated, and the results for the two techniques were compared with a T-test for paired samples. Intra-operator and inter-operator errors were >0.05, indicating an adequate reproducibility in each operator and no significant differences between their meas-urements. On the other hand, no significant differences between the two measurement techniques. The present results demonstrate that CBCT is a precise, feasible and reproducible technique for evaluation of dental pulp chamber volume ex vivo. Results provided with this method are suitable for different medical branches but also for teaching and training of undergraduate and post-graduate students. Furthermore, the findings of this study carry significant clinical implications, as accurate assessment of pulp chamber volume is critical in the diagnosis and treatment of various endodontic conditions. The ability of CBCT to provide reliable 3D dental anatomy measurements can enhance the planning of endodontic treatments by allowing for a better understanding of internal tooth morphology. Additionally, the precision and reproducibility of CBCT in assessing pulp chamber volume can contribute to improved clinical outcomes and reduced complications during endodontic procedures. These findings further support the increasingly vital role of CBCT in modern clinical practice and underscore its value as an indispensable tool in the field of dentistry.

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Cone‐beam computed tomography accuracy in pulp chamber size evaluation: An ex vivo study

Cited by 9 publications

References 25 publications

Image Segmentation Technology Based on Attention Mechanism and ENet

Image Segmentation Technology Based on Attention Mechanism and ENet

The Equine Dental Pulp: Histomorphometric Analysis of the Equine Dental Pulp in Incisors and Cheek Teeth

Cone-Beam Computed Tomography for the Evaluation of Dental Pulp Chamber Volume: Implications for Clinics and Teaching

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