Clinical periodontal diagnosis

Dimensional changes in free gingival grafts at implant sites in the reconstructed mandible: a retrospective study

OBJECTIVE

To evaluate the dimensional changes in free gingival grafts (FGG) at implant sites in mandibular reconstruction patients.

METHODS

Patients who received FGG 4 months after implant placement in the reconstructed mandible with no keratinized mucosa (KM) present were invited for re-examination after 36.7 ± 16.8 months (3.06 ± 1.4 years). Immediately after graft extraction (T0), graft width (GW), graft length (GL), graft thickness (GT), graft dimension (GD), and vertical bone height were documented. Re-examination (T1) included clinical examinations (GW, GL, GD, peri-implant probing depths, and modified Sulcus Bleeding Index), radiographic examination (marginal bone level), and medical chart review.

RESULTS

Twenty patients and 62 implants (47 in fibula flaps and 15 in iliac flaps) were included. A significant decrease in GW (51.8%), GL (19.2%), and GD (60.2%), were found between T0 and T1 (p < .001). The univariate analysis showed that GW change was not significantly associated with reconstruction technique, baseline GL, baseline GT, baseline GD, implant location, or type of prosthesis. Implant survival rate of 100% was observed at follow-up.

CONCLUSIONS

Within the limitations of the study, free gingival grafts at implant sites in the reconstructed mandible undergo dimensional change that result in a reduction of approximately 60% of the original graft dimension. Graft width decreased over 50%.

CLINICAL RELEVANCE

FGG is the standard of care intervention for increasing the amount of KM around implants. This study was the first to evaluate the dimensional change in FGG at implant sites in mandibular reconstruction patients after a medium-term follow-up.

CLINICAL TRIAL REGISTRATION

Clinical trial registration is not applicable as this study comprehends a retrospective analysis.

Aggregatibacter actinomycetemcomitans: From the Oral Cavity to the Heart Valves

Aggregatibacter actinomycetemcomitans (A. actinomycetecomitans) is a Gram-negative bacterial species that is an essential component of the oral microbiota. Due to its aggregative properties, it plays a role in the pathogenesis of human diseases. The presence of the surface proteins Fim, Briae, and microvesicles enables the bacterium to adhere to the epithelial surface and the tooth's surface. The presence of leukotoxin A (LtxA), which plays an important role in the pathogenicity of the bacterium, has been associated with both periodontitis and the etiology of rheumatoid arthritis (RA). A. actinomycetecomitans is also associated with several other systemic diseases and complications, such as endocarditis and different abscesses. In addition to leukotoxin A, A. actinomycetecomitans possesses several different virulence factors, including bacteriocins, chemotaxis inhibitory factors, cytotoxic factors, Fc-binding proteins, immunosuppressive factors, lipopolysaccharide collagenase, fibroblast inhibitory factors, antibiotic resistance determinants, adhesins, invasive factors and factors that inhibit the function of polymorphonuclear leukocytes. The ability of A. actinomycetemcomitans lipopolysaccharide to induce macrophages to secrete the interleukins IL-1, IL-1β, and tumor necrosis factor (TNF) is of considerable importance. The primary etiologic factor in the pathogenesis of periodontal disease is the oral biofilm colonized by anaerobic bacteria. Among these, A. actinomycetemcomitans occupies an important place as a facultative anaerobic bacterium. In addition, A. actinomycetemcomitans possesses many virulence factors that contribute to its potential to cause cancer. This article provides an overview of the virulence factors of A. actinomycetecomitans and its association with various systemic diseases, its oncogenic potential, and the treatment options for infections caused by A. actinomycetecomitans.

Effect of Coenzyme Q10 on early wound healing after recession coverage surgery with the modified coronally advanced tunnel technique and a connective tissue graft: A 6-month, triple-blinded, randomized, placebo-controlled pilot trial

OBJECTIVES

Coenzyme Q10 (CoQ10) or ubiquinone is one of a cell's most important electron carriers during oxidative phosphorylation and many other cellular processes. As a strong anti-oxidant with further anti-inflammatory effects CoQ10 is of potential therapeutical value. The aim of this randomized controlled clinical trial was to investigate the effect of topical CoQ10 on early wound healing after recession coverage surgery using the modified coronally advanced tunnel (MCAT) and palatal connective tissue graft (CTG).

MATERIALS AND METHODS

Thirty patients with buccal gingival recessions were evaluated after being randomly allocated to: 1) MCAT and CTG with topical application of a coenzyme Q10 spray for 21 days or 2) MCAT and CTG with placebo spray. Wound healing was evaluated by the early wound healing index (EHI). Patient-reported pain was analyzed by a 100-mm visual analogue scale (VAS) at day 2, 7, 14 and 21 post-surgically. Mean recession coverage, gain of keratinized tissue and esthetic outcomes were assessed at 6 months.

RESULTS

EHI and pain scores showed no significant differences. Time to recovery defined as VAS<10 mm was shorter in the test group. Mean root coverage after 6 months was 84.62 ± 26.57% and 72.19 ± 26.30% for test and placebo, p=0.052. Complete root coverage was obtained in 9 (60%) test and in 2 (13.3%) placebo patients. Increase in keratinized tissue width and esthetical outcomes were similar for both groups.

CONCLUSION

CoQ10 had no significant effect on early wound healing and on mean root coverage after 6 months.

CLINICAL RELEVANCE

Early wound healing: in young healthy patients with no inflammatory oral conditions topical CoQ10 does not improve early healing.

Efficacy of OFD with EMD for treatment of periodontal defects: A systematic review and meta-analysis

OBJECTIVES

In order to enhance clinical improvement of periodontal defects, the addition of enamel matrix derivatives (EMD) to open flap debridement (OFD) has been investigated. The aim of this systematic review is to figure out whether such a combination, in comparison to the treatment with OFD alone has some effects on the following outcomes: clinical attachment level gain, probing depth reduction, and gingival recessions increase.

METHODS

Electronic databases (PubMed, Embase, Web of Science, and Cochrane) were searched for randomized controlled trials in humans addressing the use of a combination of OFD and EMD versus a control group with OFD alone for the treatment of periodontal defects, with a minimum of 6 months of follow-up; meta-analysis and trial sequential analysis were then performed.

RESULTS

From a total of 204 records screened by title and abstract, 13 studies were read full-text and eight out of them included in the meta-analysis. Some significant differences have been demonstrated both for clinical attachment level gain and probing depth reduction between test and control groups.

CONCLUSIONS

In the treatment of periodontal defects, the addition of EMD to OFD seems to be beneficial in terms of clinical attachment level gain, probing depth reduction, promoting periodontal regeneration. However, such results should be considered with caution because of the small number of studies included in the meta-analysis and their heterogeneity.

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.

Patent Mining on the Use of Antioxidant Phytochemicals in the Technological Development for the Prevention and Treatment of Periodontitis

Periodontal disease is an inflammatory condition characterized by an aberrant immune response against a dysbiotic dental biofilm, with oxidative stress performing an essential role in its pathogenesis. This paper presents a patent mining, performed in the Orbit Intelligence patent database, related to antioxidant phytochemicals in the technological developments that are working to prevent and treat periodontal disease. To access the documents, the descriptors "PERIODONTAL" and "ANTIOXIDANT" were typed in the title, abstract, and claim search fields. A total of 322 patents demonstrate the growing interest in researching natural antioxidants for scientific and technological purposes. The top ten countries regarding the number of family patents produced were the United States, the European Office, Japan, South Korea, China, India, Mexico, Denmark, Canada, and Great Britain. The most cited compounds were vitamin C, green tea, quercetin, melatonin, lycopene, resveratrol, and curcumin. These compounds have been used for the technological development of gels, membranes, dentifrices, chewing gum, orally disintegrating film, mouthwash, mouth spray, and mouth massage cream and exhibit the ability to neutralize free radicals and reduce oxidative stress, a critical factor in the development and progression of periodontal diseases. The patent documents have shown that using antioxidant compounds in conjunction with traditional periodontal treatments is a promising area of interest in periodontal therapy.

Advances in periodontal biomarkers

Due to technologic advancements, periodontology has witnessed a boost in biomarker research over the past three decades. Indeed, with the aid of omics, our understanding of the healthy periodontium, pathogenesis of periodontal diseases, and healing after periodontal treatment has improved significantly. Yet, the traditional methods, periodontal probing and radiographies, remain the most common methods to diagnose periodontal disease and monitor treatment. Although these approaches can produce reliable diagnostic outcomes, they generally detect disease only after significant tissue degradation thus making treatment outcome highly uncertain. Accordingly, laboratories worldwide have collaborated with clinicians to design accurate, rapid and cost-effective biomarkers for periodontal disease diagnosis. Despite these efforts, biomarkers that can be widely used in early disease diagnosis and for treatment outcome prediction are far from daily use. The aim of this chapter is to give a general overview on periodontal health and diseases, and review recent advancements in periodontal biomarker research. A second aim will discuss the strengths and limitations of translating periodontal biomarker research to clinical practice. Genetic biomarkers of periodontitis are not discussed as the available confirmatory data is scarce.

Patient awareness of the association between periodontal and systemic diseases in an academic setting

BACKGROUND

Periodontal diseases (PD) have been increasingly associated with several systemic conditions such as cardiovascular disease (CVD), diabetes mellitus (DM), rheumatoid arthritis (RA), and Alzheimer's disease (AD). This study aimed to gain insight into patients' awareness of the association between PD and systemic diseases.

METHODS

A survey was developed to analyze patient awareness of the association between PD and systemic diseases. Descriptive and categorical variables were summarized with counts and percentages. Chi-squared tests were used to evaluate differences between variables. A linear logistical regression model was used to assess the simultaneous, independent association between each variable.

RESULTS

Data from 161 completed surveys were analyzed. The majority of the participants (61.49%) reported awareness of symptoms of PD, but only 36.36% identified all its major symptoms. Individuals reporting awareness of the association between PD and systemic diseases was 48.4%, 31.7%, 14.9%, and 9.9% for CVD, DM, RA, and AD, respectively. Patients aged ≥51 years and males were more aware of the association between PD and CVD. Increased awareness of an association between PD and DM was observed among patients who had a higher frequency of dental visits and those with a self-reported history of DM.

CONCLUSIONS

This study provides insight that, even with the vast amount of scientific knowledge on the inter-relationships that exist between PD and systemic diseases, most patients are still unaware of these associations. This research identified that improvement of health literacy surrounding PD, their symptoms, and their association with systemic diseases may be warranted.

A cascading learning method with SegFormer for radiographic measurement of periodontal bone loss

OBJECTIVE

Marginal alveolar bone loss is one of the key features of periodontitis and can be observed via panoramic radiographs. This study aimed to establish a cascading learning method with deep learning (DL) for precise radiographic bone loss (RBL) measurements at specific tooth positions.

MATERIALS AND METHODS

Through the design of two tasks for tooth position recognition and tooth semantic segmentation using the SegFormer model, specific tooth's crown, intrabony portion, and suprabony portion of the roots were obtained. The RBL was subsequently measured by length through these three areas using the principal component analysis (PCA) principal axis.

RESULTS

The average intersection over union (IoU) for the tooth position recognition task was 0.8906, with an F1-score of 0.9338. The average IoU for the tooth semantic segmentation task was 0.8465, with an F1-score of 0.9138. When the two tasks were combined, the average IoU was 0.7889, with an F1-score of 0.8674. The correlation coefficient between the RBL prediction results based on the PCA principal axis and the clinicians' measurements exceeded 0.85. Compared to those of the other two methods, the average precision of the predicted RBL was 0.7722, the average sensitivity was 0.7416, and the average F1-score was 0.7444.

CONCLUSIONS

The method for predicting RBL using DL and PCA produced promising results, offering rapid and reliable auxiliary information for future periodontal disease diagnosis.

CLINICAL RELEVANCE

Precise RBL measurements are important for periodontal diagnosis. The proposed RBL-SF can measure RBL at specific tooth positions and assign the bone loss stage. The ability of the RBL-SF to measure RBL at specific tooth positions can guide clinicians to a certain extent in the accurate diagnosis of periodontitis.

IL-23/IL-17 axis levels in gingival crevicular fluid of subjects with periodontal disease: a systematic review

BACKGROUND

The IL-23/IL-17 axis plays an important role in the immunopathogenesis of periodontal disease. A systematic review was conducted to synthesize all research reporting on the levels of the IL-23/IL-17 axis in gingival crevicular fluid (GCF) from subjects with gingivits, and periodontitis, compared to healthy controls.

METHODS

The protocol followed the PRISMA, and Cochrane guidelines, and was registered with the Open Science Framework (OSF): https://doi.org/10.17605/OSF.IO/7495V . A search was conducted in the electronic databases PubMed/MEDLINE, Scopus, Google Schoolar, and Cochrane from November 15th, 2005, to May 10th, 2023. The quality of the studies was assessed using the JBI tool for cross-sectional studies.

RESULTS

The search strategy provided a total of 2,098 articles, of which 12 investigations met the inclusion criteria. The total number of patients studied was 537, of which 337 represented the case group (subjects with gingivitis, and chronic periodontitis), and 200 represented the control group (periodontally healthy subjects). The ages of the patients ranged from 20 to 50 years, with a mean (SD) of 36,6 ± 4,2, of which 47% were men, and 53% were women. 75% of the investigations collected GCF samples with absorbent paper strips, and analyzed cytokine IL-17 levels individually. In addition, qualitative analysis revealed that there are differences between IL-23/IL-17 axis levels in subjects with chronic periodontitis, gingivitis and healthy controls.

CONCLUSIONS

Thus, IL-23/IL-17 axis levels could be used in the future as a diagnostic tool to distinguish between periodontal diseases.

Assessment of Clinical and Patient-Centered Outcomes in Nonsurgical Periodontal Therapy

Aim  The study was conducted to assess the clinical and patient-centered outcomes among the patients who had undergone nonsurgical periodontal therapy (NSPT). Methodology The participants for this study were 40 individuals with generalized chronic periodontitis. Numerous clinical parameters including clinical attachment level (CAL), probing pocket depth (PPD), plaque index (PI), and gingival index (GI) were evaluated along with the administration of a customized questionnaire before and after three months of therapy to evaluate patient-centered outcomes. Results Clinical parameters showed significant (p < 0.05) improvement post-NSPT. There was 100% satisfaction in few patient-centered outcomes such as bleeding gums, bad breath, food entrapment, and mobility. Conclusion A significant improvement in the clinical parameters does not guarantee improvement in patient-centered outcomes. Achieving the improvement in patient-centered outcomes can improve the overall quality of life (QOL), marking this a holistic treatment.

Comparative Evaluation and Correlation of Periodontal Status With Inflammatory Markers in Pregnant Women With or Without Chronic Periodontitis: A Clinico-Hematological Study

Background The research delves into the intricate relationship between periodontal health and specific blood biomarkers in pregnant women during their second trimester. It specifically focuses on the levels of interleukin-6 (IL-6), lactate dehydrogenase (LDH), and C-reactive protein (CRP) in those suffering from chronic periodontitis compared to healthy controls. Methodology A detailed approach was taken involving 60 pregnant women categorized into two groups based on the presence or absence of chronic periodontitis. Out of 60 pregnant women, 30 had chronic periodontitis, while the other 30 served as controls selected from the regular patient population of the college. The study utilized blood sample analysis and advanced statistical tools for data analysis, ensuring precise and reliable results. Levels of IL-6, LDH, and CRP in those suffering from chronic periodontitis compared to healthy controls were checked. Results The findings revealed a notable variance in IL-6, LDH, and CRP levels between the two groups. Women with chronic periodontitis exhibited significantly higher levels of these biomarkers. The statistical analysis reinforced the validity of these differences, highlighting their significance. Conclusions The study underscored a clear link between higher levels of IL-6, LDH, and CRP and the presence of chronic periodontitis in pregnant women. These biomarkers emerge as potential indicators for early detection and monitoring of periodontal health in this demographic.

Comparison of deep learning methods for the radiographic detection of patients with different periodontitis stages

OBJECTIVES

The objective of this study is to assess the accuracy of computer-assisted periodontal classification bone loss staging using deep learning (DL) methods on panoramic radiographs and to compare the performance of various models and layers.

METHODS

Panoramic radiographs were diagnosed and classified into 3 groups, namely "healthy," "Stage1/2," and "Stage3/4," and stored in separate folders. The feature extraction stage involved transferring and retraining the feature extraction layers and weights from 3 models, namely ResNet50, DenseNet121, and InceptionV3, which were proposed for classifying the ImageNet dataset, to 3 DL models designed for classifying periodontal bone loss. The features obtained from global average pooling (GAP), global max pooling (GMP), or flatten layers (FL) of convolutional neural network (CNN) models were used as input to the 8 different machine learning (ML) models. In addition, the features obtained from the GAP, GMP, or FL of the DL models were reduced using the minimum redundancy maximum relevance (mRMR) method and then classified again with 8 ML models.

RESULTS

A total of 2533 panoramic radiographs, including 721 in the healthy group, 842 in the Stage1/2 group, and 970 in the Stage3/4 group, were included in the dataset. The average performance values of DenseNet121 + GAP-based and DenseNet121 + GAP + mRMR-based ML techniques on 10 subdatasets and ML models developed using 2 feature selection techniques outperformed CNN models.

CONCLUSIONS

The new DenseNet121 + GAP + mRMR-based support vector machine model developed in this study achieved higher performance in periodontal bone loss classification compared to other models in the literature by detecting effective features from raw images without the need for manual selection.

Association between periodontal disease and chronic obstructive pulmonary disease

Chronic obstructive pulmonary disease (COPD) and periodontal disease are chronic inflammatory conditions that significantly affect an individual's overall health and well-being. Generally, the prevalence of periodontitis is higher in patients with COPD than those without COPD, which may partly be attributed to common risk factors in COPD, such as smoking, respiratory infections, and inflammation. In particular, periodontitis may exacerbate the progression of COPD and further deteriorate the respiratory system by promoting inflammatory responses and bacterial infections. Immunocytes, including neutrophils, and microorganisms such as Fusobacterium nucleatum originating from oral biofilms are believed to be crucial factors influencing to COPD. Furthermore, the potential benefits of treating periodontal disease in COPD outcomes have been investigated. Although the relationship between COPD and periodontal disease has been preliminarily studied, there is currently a lack of large-scale clinical studies to validate this association. In addition to clinical examinations, investigating biomarkers and microbiology may contribute to explore the underlying mechanisms involved in the management of these conditions. This review aims to contribute to a better understanding of the clinical and basic research aspects of COPD and periodontitis, allowing for potential therapeutic approaches and interdisciplinary management strategies.