Quantitative measurement of peri-implant bone defects using optical coherence tomography

Radiographic diagnosis of periodontal diseases - Current evidence versus innovations

Accurate diagnosis of periodontal and peri-implant diseases relies significantly on radiographic examination, especially for assessing alveolar bone levels, bone defect morphology, and bone quality. This narrative review aimed to comprehensively outline the current state-of-the-art in radiographic diagnosis of alveolar bone diseases, covering both two-dimensional (2D) and three-dimensional (3D) modalities. Additionally, this review explores recent technological advances in periodontal imaging diagnosis, focusing on their potential integration into clinical practice. Clinical probing and intraoral radiography, while crucial, encounter limitations in effectively assessing complex periodontal bone defects. Recognizing these challenges, 3D imaging modalities, such as cone beam computed tomography (CBCT), have been explored for a more comprehensive understanding of periodontal structures. The significance of the radiographic assessment approach is evidenced by its ability to offer an objective and standardized means of evaluating hard tissues, reducing variability associated with manual clinical measurements and contributing to a more precise diagnosis of periodontal health. However, clinicians should be aware of challenges related to CBCT imaging assessment, including beam-hardening artifacts generated by the high-density materials present in the field of view, which might affect image quality. Integration of digital technologies, such as artificial intelligence-based tools in intraoral radiography software, the enhances the diagnostic process. The overarching recommendation is a judicious combination of CBCT and digital intraoral radiography for enhanced periodontal bone assessment. Therefore, it is crucial for clinicians to weigh the benefits against the risks associated with higher radiation exposure on a case-by-case basis, prioritizing patient safety and treatment outcomes.

Automatic and quantitative measurement of alveolar bone level in OCT images using deep learning

We propose a method to automatically segment the periodontal structures of the tooth enamel and the alveolar bone using convolutional neural network (CNN) and to measure quantitatively and automatically the alveolar bone level (ABL) by detecting the cemento-enamel junction and the alveolar bone crest in optical coherence tomography (OCT) images. The tooth enamel and the alveolar bone regions were automatically segmented using U-Net, Dense-UNet, and U²-Net, and the ABL was quantitatively measured as the distance between the cemento-enamel junction and the alveolar bone crest using image processing. The mean distance difference (MDD) measured by our suggested method ranged from 0.19 to 0.22 mm for the alveolar bone crest (ABC) and from 0.18 to 0.32 mm for the cemento-enamel junction (CEJ). All CNN models showed the mean absolute error (MAE) of less than 0.25 mm in the x and y coordinates and greater than 90% successful detection rate (SDR) at 0.5 mm for both the ABC and the CEJ. The CNN models showed high segmentation accuracies in the tooth enamel and the alveolar bone regions, and the ABL measurements at the incisors by detected results from CNN predictions demonstrated high correlation and reliability with the ground truth in OCT images.

Interleukin-16 rs4072111 Polymorphism is Associated with the Risk of Peri-Implantitis in the Chinese Population

Purpose

Peri-implantitis (PI) is a major contributor to dental implant failure. Genetic predisposition plays an essential role in the development of PI. The purpose of this study was to investigate the correlation of IL-16 gene single nucleotide polymorphisms (SNPs), rs11556218 and rs4072111, with PI at the gene level.

Patients and Methods

A total of 162 patients with PI and 162 cases with healthy implants were recruited as the case and control groups, respectively. The genotypes were analysed using direct sequencing. The genotype and allele proportion between the case and control groups were compared using the chi-square test. The periodontal status of patients carrying different genotypes was analysed, including gingival index, plaque index, calculus index, peri-implant pocket depth (PPD), and clinical attachment level (CAL).

Results

The case and control groups were age- and gender-matched. In the case group, the rs4072111 CT genotype was majorly observed, and the T allele carriers showed a high PI risk. Patients with the rs4072111 CT genotype had worse periodontal status, which was reflected by the higher levels of the gingival index, plaque index, calculus index, PPD and CAL. The distribution of the rs11556218 genotype and T allele showed no significant difference between the case and control groups (P > 0.05).

Conclusion

The CT genotype of IL-16 gene rs4072111 SNP can be used as a factor assessing PI risk. Therefore, IL-16 genetic variation may be related to PI susceptibility in the Chinese Han population.

Optical coherence tomography's current clinical medical and dental applications: a review

Optical coherence tomography (OCT) is a non-invasive investigative technique that is used to obtain high-resolution three-dimensional (3D) images of biological structures. This method is useful in diagnosing diseases of specific organs like the eye, where a direct biopsy cannot be conducted. Since its inception, significant advancements have been made in its technology. Apart from its initial application in ophthalmology for retinal imaging, substantial technological innovations in OCT brought by the research community have enabled its utilization beyond its original scope and allowed its application in many new clinical areas. This review presents a summary of the clinical applications of OCT in the field of medicine (ophthalmology, cardiology, otology, and dermatology) and dentistry (tissue imaging, detection of caries, analysis of dental polymer composite restorations, imaging of root canals, and diagnosis of oral cancer). In addition, potential advantages and disadvantages of OCT are also discussed.

Internal hexagon versus conical implant-abutment connections: evaluation of 3-year postloading outcomes

Different types of internal implant-abutment connections, namely hexagon and conical, have been used for implant restoration. However, data regarding the benefits of these internal connections in terms of clinical outcomes are scarce. Accordingly, the aim of this study was to compare radiographic marginal bone loss (RMBL) and associated implant complications between implants with internal hexagon (IH) connections and those with internal conical (IC) connections. Forty-nine patients with 98 implants (two per patient) placed in the posterior mandible were recruited. All implants were inserted in pairs in solid D2 bone according to a randomized sequence; the first patient received an IH connection implant on the mesial side while the second patient received an IC connection implant on the mesial side. Each patient received one implant with an IH connection and one with an IC connection, placed side-by-side. Four months after placement, all implants were loaded with single screw-retained ceramic restorations with internal hexagon or conical connections. RMBL and complications, including implant/prosthesis failure, were recorded at the time of implant loading (baseline) and 6, 12, and 36 months after loading. The results revealed no significant between-group differences in RMBL (P = .74), gingival bleeding on probing (P = .29), and complications (P = .32). Thus, the type of internal implant-abutment connection did not affect clinical outcomes, including RMBL and implant/prosthesis failure. Future studies should additionally evaluate long-term prosthesis-related complications such as screw loosening and fracture between the two types of internal connections.