Digital photometric analysis as a non-invasive method to determine gingival phenotype: A comparative study
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| Title: | Digital photometric analysis as a non-invasive method to determine gingival phenotype: A comparative study |
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| Authors: | Seham Altaweel, Maha Sehli, Mirna Khogeer, Rahmah Ayyash, Saleh Al Zahrani, Thamer Al-Ghalib, Mohamed Abdelrasoul |
| Source: | Saudi Dent J Saudi Dental Journal, Vol 36, Iss 11, Pp 1466-1471 (2024) |
| Publisher Information: | Springer Science and Business Media LLC, 2024. |
| Publication Year: | 2024 |
| Subject Terms: | Digital dentistry, 03 medical and health sciences, Periodontal, 0302 clinical medicine, Dentistry, Medicine, RK1-715, Original Article, Non-invasive, Gingival phenotype, Intraoral scanner, Patient-reported experience measures |
| Description: | Identification of periodontal phenotype is critical in clinical practice. Thick and thin tissues respond differently to inflammation, and trauma. It significantly influences the outcomes of restorative treatment, regenerative therapy, and success of implants and periodontal surgery. Periodontal phenotype can be assessed via invasive or non-invasive methods. This study aimed to establish the reliability of non-invasive methods in determining gingival phenotypes in comparison with validated methods.This preapproved cross-sectional observational study was conducted at Batterjee Medical College in Saudi Arabia. The participants were conveniently sampled based on the inclusion criteria. The clinical study utilized Colorvue® biotype probes to evaluate gingival tissue phenotype in the region of interest, intraoral digital scanner (IOS) (iTero® scanner), and digital photography. Densitometric acquisition of photographs and intraoral scans was performed using Adobe Photoshop to quantify three-dimensional color measurements expressed in Delta E values (ΔE). Furthermore, patient-reported experience measures (PREMs) were used to evaluate anxiety and pain perception. Values of p |
| Document Type: | Article Other literature type |
| Language: | English |
| ISSN: | 1013-9052 |
| DOI: | 10.1016/j.sdentj.2024.09.005 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/39619719 https://doaj.org/article/f7455d2a35e34496bc7890d2e1797e52 |
| Rights: | CC BY NC ND |
| Accession Number: | edsair.doi.dedup.....684a52a2dab7abfa31d33c414486dc4f |
| Database: | OpenAIRE |
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Nájsť tento článok vo Web of Science | Abstract: | Identification of periodontal phenotype is critical in clinical practice. Thick and thin tissues respond differently to inflammation, and trauma. It significantly influences the outcomes of restorative treatment, regenerative therapy, and success of implants and periodontal surgery. Periodontal phenotype can be assessed via invasive or non-invasive methods. This study aimed to establish the reliability of non-invasive methods in determining gingival phenotypes in comparison with validated methods.This preapproved cross-sectional observational study was conducted at Batterjee Medical College in Saudi Arabia. The participants were conveniently sampled based on the inclusion criteria. The clinical study utilized Colorvue® biotype probes to evaluate gingival tissue phenotype in the region of interest, intraoral digital scanner (IOS) (iTero® scanner), and digital photography. Densitometric acquisition of photographs and intraoral scans was performed using Adobe Photoshop to quantify three-dimensional color measurements expressed in Delta E values (ΔE). Furthermore, patient-reported experience measures (PREMs) were used to evaluate anxiety and pain perception. Values of p |
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| ISSN: | 10139052 |
| DOI: | 10.1016/j.sdentj.2024.09.005 |