Acta Scientific Dental Sciences (ASDS)(ISSN: 2581-4893)

Review Article Volume 6 Issue 12

CVMI and SMI- A Tool for Age Assessment in Orthodontic Patients

Krishna Arora1* and Putri Qistina2

1Head of the Department, Associate Professor, Department of Orthodontics, Manipal University College, Malaysia
2Associate Dentist, My Dentist Ampang

*Corresponding Author: Krishna Arora, Head of the Department, Associate Professor, Department of Orthodontics, Manipal University College, Malaysia.

Received: November 23, 2022; Published: November 28, 2022

Abstract

Accurate measurement of skeletal maturity is critical to understand the possible etiology, diagnosis, modal¬ity, timing of treatment, and its eventual outcome of various skeletal abnormalities. In Orthodontics growth prediction is an assessment of the amount of growth to be expected. Some important clin¬ical decisions whether to extract or not to extract, use of orthopedic functional appliances, fixed-functional appliances, and some surgical decisions are based on growth of an individual. In this review we researches want to highlight the most important, clinically relevant and easy to use methods of age estimation.

Keywords:Age Assessment; SMI; CVMI

References

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  10. Ricky WK., et al. “Use of cervical vertebral maturation to determine skeletal age”. American Journal of Orthodontics and Dentofacial Orthopedics4 (2009): 484.e1-484.e6.
  11. Schulhof RJ., et al. “Prediction of abnormal growth in Class III malocclusions”. American Journal of Orthodontics 4 (1971): 421-430.
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Citation

Citation: Krishna Arora and Putri Qistina. “CVMI and SMI- A Tool for Age Assessment in Orthodontic Patients".Acta Scientific Dental Sciences 6.12 (2022): 135-139.

Copyright

Copyright: © 2022 Krishna Arora and Putri Qistina. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate30%
Acceptance to publication20-30 days
Impact Factor1.278

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