Abdelhafeez Manal M
Department of Conservative Dental Sciences, College of Dentistry, Qassim University, Buraydah, Saudi Arabia.
Department of Endodontics, Faculty of Dentistry, October University for Modern Sciences and Arts, 6 of October City 12451, Egypt.
J Pharm Bioallied Sci. 2024 Jul;16(Suppl 3):S1977-S1980. doi: 10.4103/jpbs.jpbs_393_24. Epub 2024 Jul 31.
Endodontics increasingly uses finite element analysis (FEA) to evaluate stress distribution, fracture resistance, and temperature changes in treated teeth. FEA's endodontic uses, benefits, and drawbacks are examined in this systematic review and meta-analysis.
A PubMed systematic search found relevant studies published up to January 2022. Original endodontic research articles utilizing FEA to quantify stress distribution, fracture resistance, or temperature changes in treated teeth were eligible. The systematic review comprised 30 publications, 15 of which were meta-analyzed. Data were extracted using a standard form, and the "Newcastle-Ottawa Scale (NOS)" for observational studies and the Cochrane risk of bias tool for randomized controlled trials assessed quality. Random-effects models calculated pooled effect sizes and 95% confidence intervals in RevMan 5.4 meta-analysis.
Meta-analysis shows FEA-guided endodontic treatment improves stress distribution ( < 0.001) and fracture resistance ( < 0.05) compared to conventional treatments. The temperature did not vary significantly ( = 0.12). Stress distribution had an effect size of 0.75 (95% CI: 0.65-0.85), fracture resistance 0.42 (95%: 0.12-0.72), and temperature variations -0.18.
In conclusion, FEA is a valuable technique in endodontics for stress distribution study and fracture resistance testing. FEA models' accuracy, dependability, and clinical applicability were questioned, underlining the need for more research and development to maximize their endodontics clinical use.
牙髓病学越来越多地使用有限元分析（FEA）来评估治疗后牙齿的应力分布、抗折性和温度变化。本系统评价和荟萃分析探讨了FEA在牙髓病学中的应用、益处和缺点。
通过PubMed系统检索，发现截至2022年1月发表的相关研究。利用FEA量化治疗后牙齿的应力分布、抗折性或温度变化的原始牙髓病学研究文章符合要求。该系统评价包括30篇出版物，其中15篇进行了荟萃分析。使用标准表格提取数据，并使用观察性研究的“纽卡斯尔-渥太华量表（NOS）”和随机对照试验的Cochrane偏倚风险工具评估质量。在RevMan 5.4荟萃分析中，随机效应模型计算合并效应量和95%置信区间。
荟萃分析表明，与传统治疗相比，FEA引导的牙髓治疗可改善应力分布（<0.001）和抗折性（<0.05）。温度没有显著变化（=0.12）。应力分布的效应量为0.75（95%CI：0.65-0.85），抗折性为0.42（95%：0.12-0.72），温度变化为-0.18。
总之，FEA是牙髓病学中用于应力分布研究和抗折性测试的一项有价值的技术。FEA模型的准确性、可靠性和临床适用性受到质疑，这突出表明需要进行更多的研究和开发，以最大限度地发挥其在牙髓病学临床中的应用。
