Journal of Conservative Dentistry
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Year : 2014  |  Volume : 17  |  Issue : 6  |  Page : 566-570

Comparison of marginal adaptation of mineral trioxide aggregate, glass ionomer cement and intermediate restorative material as root-end filling materials, using scanning electron microscope: An in vitro study

1 Department of Conservative Dentistry and Endodontics, Narayana Dental College, Nellore, Andhra Pradesh, India
2 Department of Conservative Dentistry and Endodontics, Sri Sai College of Dental Surgery, Vikarabad, Telangana, India
3 Department of Conservative Dentistry and Endodontics, Sri Venkata Sai Institute of Dental Sciences, Mahabubnagar, Telangana, India

Correspondence Address:
Sirisha Gundam
Flat No - 105, 3-6 - 290/B, Sai Tirumala Towers, Near St Pauls School, Hyderguda, Hyderabad - 500 029, Telangana
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/0972-0707.144606

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Aim: The present study compares the marginal adaption of Mineral Trioxide Aggregate (MTA), Glass Ionomer Cement (GIC) and Intermediate Restorative Material (IRM) as root-end filling materials in extracted human teeth using Scanning Electron Microscope (SEM). Materials and Methods: Thirty single rooted human teeth were obturated with Gutta-percha after cleaning and shaping. Apical 3 mm of roots were resected and retrofilled with MTA, GIC and IRM. One millimeter transverse section of the retrofilled area was used to study the marginal adaptation of the restorative material with the dentin. Mounted specimens were examined using SEM at approximately 15 Kv and 10 -6 Torr under high vacuum condition. At 2000 X magnification, the gap size at the material-tooth interface was recorded at 2 points in microns. Statistical Analysis: One way ANOVA Analysis of the data was carried out with gap size as the dependent variable, and material as independent variable. Results: The lowest mean value of gap size was recorded in MTA group (0.722 ± 0.438 μm) and the largest mean gap in GIC group (1.778 ± 0.697 μm). Conclusion: MTA showed least gap size when compared to IRM and GIC suggesting a better marginal adaptation.

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