Suppr超能文献

使用离体流体输送模型评估 Gutta-flow 和 AH-Plus 的短期和长期封闭能力。

Short- and long-term sealing ability of Gutta-flow and AH-Plus using an ex vivo fluid transport model.

机构信息

Department of Endodontology, School of Dentistry, Aristotle University of Thessaloniki, Thessaloniki, Greece.

出版信息

Int Endod J. 2010 May;43(5):377-81. doi: 10.1111/j.1365-2591.2010.01689.x.

Abstract

AIM

To use the fluid transport model to evaluate the ex vivo short- and long-term microleakage along root canals filled with Gutta-flow or AH-Plus using the cold lateral compaction technique.

METHODOLOGY

A total of 38 single-rooted human teeth were used for the assessment of microleakage. The crowns of the teeth were sectioned below their cemento-enamel junctions to adjust the length of the roots to approximately 15 mm. The root canals were instrumented using the step-back technique and filled using cold lateral condensation. The sealer employed was either Gutta-flow (Group A) or AH-Plus (Group B). Microleakage along the root canals was evaluated using a fluid transport model after periods of 1 week and 3 months.

RESULTS

The microleakage values (microL h(-1)) for group A were 0.36 +/- 0.33 at 1 week and 0.41 +/- 0.36 at 3 months. Group B showed mean microleakage values 0.2 +/- 0.31 at 1 week and 0.28 +/- 0.38 at 3 months. Statistical analysis indicated no significant differences (P > 0.05) between the two groups after either 1 week or 3 months.

CONCLUSIONS

There was no significant difference between AH-plus and Gutta-flow in terms of sealing ability.

摘要

目的

使用流体输送模型评估使用冷侧压技术填充 Gutta-flow 或 AH-Plus 的根管的短期和长期微渗漏。

方法

共有 38 颗单根人牙用于评估微渗漏。牙齿的冠部在其牙釉质-牙骨质交界处以下被切割,以将根的长度调整至约 15mm。使用后退技术对根管进行器械处理,并使用冷侧压技术进行填充。使用的密封剂是 Gutta-flow(A 组)或 AH-Plus(B 组)。在 1 周和 3 个月后,使用流体输送模型评估根管内的微渗漏。

结果

A 组的微渗漏值(微升/小时)在 1 周时为 0.36±0.33,在 3 个月时为 0.41±0.36。B 组的平均微渗漏值在 1 周时为 0.2±0.31,在 3 个月时为 0.28±0.38。统计分析表明,在 1 周或 3 个月后,两组之间没有显著差异(P>0.05)。

结论

在密封能力方面,AH-Plus 和 Gutta-flow 之间没有显著差异。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验