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All Journal MDJ (Makassar Dental Journal)
Hasanuddin Thahir, Hasanuddin
Department of Periodontics, Faculty of Dentistry, Universitas Hasanuddin, Indonesia
Dentistry

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Effectiveness of hyaluronic acid on wound healing post periodontal surgery: Efektivitas hyaluronic acid pada penyembuhan luka pasca bedah periodontal Winawan, Irma; Thahir, Hasanuddin; Setiawati, Dian
Makassar Dental Journal Vol. 13 No. 3 (2024): Volume 13 Issue 3 Desember 2024
Publisher : Makassar Dental Journal PDGI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35856/mdj.v13i3.1037

Abstract

The management of periodontal cases is orientated towards the repair of decayed structures and elimination of inflammation. In severe conditions, invasive procedures such as periodontal surgery are indicated to achieve maximum results. Tissue regenera-tion becomes the next focus after surgical procedures are performed. Hyaluronic acid is one of the potential materials to be used post-surgical therapy given its regenerative effect on wound tissue. This study evaluates the effectiveness of HA application on periodontal post-surgical wounds. The literature search was conducted using Science Direct, Plos One and Pubmed, then the re-view and synthesis process was carried out using PRISMA. 1638 articles were found and 6 articles were included in the study. It was concluded that the use of hyaluronic acid is effective in accelerating wound healing and pain reduction after periodontal surgery.
Effectiveness of non-steroidal anti-inflammatory drugs as host modulation on periodontitis healing: Efektivitas non-steroid anti-inflammatory drugs sebagai host modulation terhadap penyembuhan periodontitis Thahir, Hasanuddin; Ibriana; Djais, Arni Irawaty
Makassar Dental Journal Vol. 13 No. 3 (2024): Volume 13 Issue 3 Desember 2024
Publisher : Makassar Dental Journal PDGI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35856/mdj.v13i3.1203

Abstract

To describe the effectiveness of non-steroidal anti-inflammatory drugs (NSAIDs) as host modulation on the healing of periodon-titis based on existing literature. The literature search was conducted independently, including articles in PubMed with full text and written in English using the keywords periodontal disease AND periodontitis AND host modulation AND nonsteroidal anti-inflammatory drugs OR NSAIDs. As a result, periodontitis is no longer defined as a disease caused by bacteria alone, but is now seen as an uncontrolled disease related to the immune response caused by dysbiosis. NSAIDs are one of the host mo-dulation agents that have been investigated for their effectiveness in healing periodontal disease. Some articles support that the combination of NSAIDs and scaling root planing (SRP) can treat periodontitis, but there is some literature that states that this is not the case when compared to conventional treatments. It was concluded that NSAIDs are effective as host modulation for periodontitis healing significantly on clinical parameter measurements such as plaque index reduction, probing depth, bleeding on probing, gingival index, and clinical attachment level improvement compared to SRP combined with placebo.
Use of artificial intelligence deep learning in detecting peri-implant bone loss: Penggunaan artificial intelligence deep learning dalam mendeteksi terjadinya kehilangan tulang pada peri-implan Danial, Nurul Huda; Thahir, Hasanuddin
Makassar Dental Journal Vol. 14 No. 1 (2025): Volume 14 Issue 1 April 2025
Publisher : Makassar Dental Journal PDGI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35856/mdj.v14i1.1026

Abstract

Dental implants are now a common treatment with high survival rates and patient satisfaction. Complications of peri-implantitis are inflammation of the peri-implant tissue resulting in bone loss around the implant. Artificial Intelligence (AI), has shown re-markable success in detecting peri-implant bone loss through radiographic images. This article evaluates and analyses the use of AI deep learning in detecting peri-implant bone loss. An article search was conducted using PubMed, Scopus, Science Direct, and Cochrane published in 2019-2024. 128 articles were obtained, but 5 articles were included in the study. It was con-cluded that the application of AI deep learning has the potential to detect bone loss around dental implant tissues. Although AI models can provide good predictions, they should be seen as a support rather than a substitute in clinical decision-making.
Co-Authors Arni Irawaty Djais, Arni Irawaty Danial, Nurul Huda Ibriana Setiawati, Dian Winawan, Irma