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Background: The interdental papilla plays a crucial role in the esthetic of the smile. Papilla reconstruction surgery is one of the most unpredictable periodontal procedures. This study compared the effect of the non-surgical application of a commercial hyaluronic acid (HA) gel with an autogenous gel named "albumin with platelet-rich fibrin" (Alb-PRF) on interdental papilla reconstruction.

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Objective:  Intraoral radiographs are used in periodontal therapy to understand interdental bony health and defects. However, identifying three-wall bony defects is challenging due to their variations. Therefore, this study aimed to classify three-wall intrabony defects using deep learning-based convolutional neural network (CNN) models to distinguish between three-wall and non-three-wall bony defects via intraoral radiographs.

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Article Synopsis
  • Interdental papilla loss due to periodontal disease introduces issues with speaking, function, and appearance, making it a common problem for patients.
  • A new surgical method, utilizing the Connective Tissue Graft (CTG) wall technique, has been introduced to improve the volume of interdental papillae, particularly in areas with clinical attachment loss.
  • A case study of a 35-year-old woman showed that this technique resulted in significant improvements in papilla aesthetics and complete root coverage after 6 and 12 months, highlighting the potential of this modified approach for treating gingival recessions.
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Aim: To evaluate the clinical outcomes of moderate intrabony defects treated with minimally invasive non-surgical technique (MINST) with or without adjunctive delivery of cross-linked hyaluronic acid (xHyA) gel.

Materials And Methods: Forty-two patients with 42 interdental intrabony defects were randomly assigned to test (MINST + xHyA) or control procedures (MINST alone). Probing depth (PD), clinical attachment level (CAL), gingival recession (GR) and bleeding on probing (BOP) at the treated sites were assessed at baseline and at 3 and 6 months.

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Accurate measurement of gingiva's biomechanical properties in vivo has been an active field of research but remained an unmet challenge. Currently, there are no noninvasive tools that can accurately quantify tensile and shear moduli, which govern gingival health, with sufficiently high accuracy. This study presents the application of high-frequency optical coherence elastography (OCE) for characterizing gingival tissue in both porcine models and human subjects.

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