Predictability of Modified Miller’s Classification in Assessing the Treatment Outcomes of Gingival Recession Defects-A Case Series
Journal Title: Journal of Dentistry and Oral Sciences - Year 2019, Vol 1, Issue 2
Abstract
Despite its limitations and drawbacks the Miller' classification system continues to be the most popular system for classifying gingival recession defects (GRDs), however, recent studies have challenged the use of Miller's classification system and many new classification systems have been proposed. Mahajan's classification system is a modification of Miller's classification and has been found to be reliable in identifying GRD. Since predicting the pathogenesis and prognosis of the disease process in GRDs is an essential requirement for a valid classification system and till date no study is available in the literature which assesses the predictive capacity of the modified Millers classification, the present study was done to evaluate the same. A total of 21 GRDs were classified according to the modified Miller's classification and were treated subsequently. At the end of the study the modified Miller's classification system was found to have satisfactory predictive value and the post operative results correlated well with the pre-treatment prognosis for various recession classes.
Authors and Affiliations
Ajay Mahajan*, Kanwarjit Singh, Mayum Negi, Deepa Rayast
Keywords
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- EP ID EP707444
- DOI https://doi.org/10.37191/Mapsci-2582-3736-1(2)-009
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Predictability of Modified Miller’s Classification in Assessing the Treatment Outcomes of Gingival Recession Defects-A Case Series
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