Abstract: Currently, cephalometric analyses for orthodontic diagnosis, treatment planning, research, evaluation of treatment results and prediction of growth are often performed on digital images by means of computer softwares.1,2 Digital technology has introduced several benefits in cephalometrics, as it enables instantaneous image acquisition, requires lower radiation dose, avoids developing process, and simplifies image storing and sharing.1
Hand traced cephalometric analysis on traditional radiographic films has been the gold standard for analyzing a cephalometric radiograph for the past few decades. Despite its widespread use in orthodontics, the technique is time consuming and has several drawbacks including, high risk of error during hand tracing, landmark identification and measurements.2
Nowadays various software programs are available for cephalometric measurements on digital cephalograms. They also simulate and predict multiple treatment options, thereby enabling the clinician to select the best treatment option according to the patient’s desire and need. With the help of facial photographic morphing technique we can predict the profile change of the patient after orthognathic surgical procedures. This demonstration of VTO (Visual treatment objectives) also helps in achieving acceptable motivation of the patient for any particular orthodontic treatment. Thus in comparison with conventional tracing the computer aided cephalometric software programs are an effective diagnostic tool and also a powerful consultation and presentation tool.2
The present study will be done to evaluate and compare the various cephalometric measurements of monitor-displayed images with the help of cephalometric software program, namely "Nemoceph" and "onyxceph", and the manual tracing on its hard copy.
Title: Comparative Evaluation of Accuracy of Conventional Hand Tracing and Digital Tracing Using Two Software: Nemoceph and Onyxceph
Author: Dr. Milind Patel, Dr. Hina Desai, Dr. Kalpesh Patel, Dr. Nikunj Patel
International Journal of Healthcare Sciences
ISSN 2348-5728 (Online)
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