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Τρίτη 21 Νοεμβρίου 2017

Three methods comparison using two-dimensional software (a novel technique), tri-dimensional cone-beam computed tomography, and manual method to measure maxillary casts: Unilateral and bilateral cleft lip and palate infants up to 6 months

Faizan Ahmed Khan, Mohammadi Begum Khan, Akhter Hussain, Arjun Karra, Purumandla Usha, CH Lalitha

Journal of Cleft Lip Palate and Craniofacial Anomalies 2017 4(3):180-186

Objective: The objective of the study was to investigate any relationship between three different methods of measurements used to measure certain parameters used on the casts of infants born with cleft lip and palate (CLP). Materials and Methods: A set of 25 casts including both unilateral and bilateral CLP were used to determine the relationship among three different methods used in this study, including tri-dimensional (3D) cone-beam computed tomography, two-dimensional (2D) software, and manual method using Vernier caliper. Results: Linear regression analysis or regression curves were attempted to establish a relationship among three different methods. Statistically significant difference (P < 5%) was found for almost all the measurements analyzed. The measurements obtained by Vernier caliper were found to be close to software values than 3D values. The ability of obtaining a 3D value from a measured 2D value was determined as the linear Pearson's correlation coefficient R and the amount of scatter around the regression line as represented by 95% confidence interval. Total error of 3D value calculated from 2D measurements was obtained by regression analysis. Conclusion: Through this study, it was concluded that newer and simpler methods for measurement purpose are always accepted on a wider scale and can be employed universally. We could find that 2D measurements by Vernier caliper which is closer to software measurements (using MAKHTER Software) can be converted to 3D using a multiplication factor of 0.54.

from #ORL-AlexandrosSfakianakis via ola Kala on Inoreader http://ift.tt/2BbV2rS

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