Department of Oral and Maxillofacial Surgery/Translational Implantology, Center for Dental Medicine, Medical Center, Faculty of Medicine, University of Freiburg, Hugstetter Straße 55, Freiburg, 79106, Germany.
Department of Periodontology, School of Dental Medicine, University of Bern, Freiburgstrasse 7, Bern, 3010, Switzerland.
Clin Oral Investig. 2024 Oct 27;28(11):613. doi: 10.1007/s00784-024-05936-4.
The limited number of studies using digital workflows to measure soft tissue changes depend on the cemento-enamel junction (CEJ), which has been reported to be unreliable. Our primary objective was to apply an advanced digital assessment method, measuring independent from the CEJ to evaluate the modified coronally advanced tunnel technique (MCAT) with a porcine dermal matrix (PDM) for gingival recession coverage.
Patients with type RT1 and RT2 gingival recessions were treated with the MCAT and a PDM. Plaster casts (preoperative and 6 months postoperative) were digitalized. Subsequent stereolithography (STL)-files were imported and superimposed in the open-source software GOM Inspect for computer-based analysis. Recession depth, mean root and complete root coverage (mRC and cRC), mean recession reduction (mRR) and gingival thickness were evaluated. Statistical analysis was performed using mixed linear models.
A total of 82 teeth (19 patients) were included in the study. Healing was uneventful in all patients. The mean preoperative recession depth was 1.34 ± 0.92 mm. mRC was 65.06 ± 48.26%, cRC was 25.61%, mRR was 0.87 ± 0.83 mm, and gingival thickness gain was 0.33 ± 0.30 mm, with comparable results for RT1 and RT2. Neither tooth type nor type of jaw had any effect on the amount of root coverage.
The digital evaluation workflow employed offers an approach to evaluate gingival recession coverage outcomes independent of the CEJ. The PDM used in combination with the MCAT shows promising results for root coverage.
使用数字化工作流程来测量软组织变化的研究数量有限,这取决于牙骨质-釉质界(CEJ),据报道 CEJ 不可靠。我们的主要目的是应用一种先进的数字评估方法,独立于 CEJ 进行测量,以评估使用猪真皮基质(PDM)的改良冠向牙龈退缩隧道技术(MCAT)对牙龈退缩的覆盖效果。
将具有 RT1 和 RT2 型牙龈退缩的患者接受 MCAT 和 PDM 治疗。将石膏模型(术前和术后 6 个月)数字化。随后,将立体光刻(STL)文件导入并在开源软件 GOM Inspect 中进行叠加,以进行基于计算机的分析。评估了退缩深度、平均根和完全根覆盖(mRC 和 cRC)、平均退缩减少(mRR)和牙龈厚度。使用混合线性模型进行统计分析。
本研究共纳入 82 颗牙齿(19 名患者)。所有患者的愈合均顺利。平均术前退缩深度为 1.34±0.92mm。mRC 为 65.06±48.26%,cRC 为 25.61%,mRR 为 0.87±0.83mm,牙龈厚度增加 0.33±0.30mm,RT1 和 RT2 的结果相当。牙位和颌位类型对根覆盖量均无影响。
所采用的数字化评估工作流程提供了一种独立于 CEJ 评估牙龈退缩覆盖效果的方法。与 MCAT 联合使用的 PDM 显示出对根覆盖有良好的效果。