Literature DB >> 19413396

Comparison of hand-traced and computer-based cephalometric superimpositions.

S S Huja1, E L Grubaugh, A M Rummel, H W Fields, F M Beck.   

Abstract

OBJECTIVE: To determine the ability to produce comparable superimpositions using hand tracing and digital methods (Dolphin v10). In addition, if the two methods were comparable, we wanted to determine if a difference existed between the best-fit cranial base superimposition and S-N superimpositions using the digital method. METHODS AND MATERIALS: Sixty-four initial (T(1)) and final (T(2)) cephalometric film radiographs were obtained. Cranial base and regional superimpositions were completed independently for each pair of radiographs by either hand tracing and digital methods. To quantitatively evaluate the differences between the two methods, the hand and digital superimpositions were digitized to obtain x-y coordinates of routine cephalometric landmarks at T(2). Linear distance between multiple corresponding (hand and digital) T(2) cephalometric landmark locations (e.g., A point) were measured and defined as the T(2) landmark distance (T(2) LD). Additionally, 61 patient records were used to compare the digital method for best-fit cranial base superimpositions versus S-N superimpositions. A Friedman test was applied to examine for differences.
RESULTS: The upper 95% confidence limit for the mean of the T(2) LD for hand and digital superimposition methods was <1 mm for all landmarks except maxillary incisor tip and apex. The upper 95% confidence interval for best-fit vs S-N was >1 mm for most landmarks.
CONCLUSION: This study validates the use of superimpositions produced by Dolphin Imaging version 10 and is a necessary step forward toward widespread acceptance of digital superimpositions.

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Year:  2009        PMID: 19413396     DOI: 10.2319/052708-283.1

Source DB:  PubMed          Journal:  Angle Orthod        ISSN: 0003-3219            Impact factor:   2.079


  5 in total

1.  Evaluation of an automated superimposition method for computer-aided cephalometrics.

Authors:  Jun-Ho Moon; Hye-Won Hwang; Shin-Jae Lee
Journal:  Angle Orthod       Date:  2020-05-01       Impact factor: 2.079

2.  Improved lateral cephalometric superimposition using an automated image fitting technique.

Authors:  Brent E Larson; Matthew M Sievers; Ching-Chang Ko
Journal:  Angle Orthod       Date:  2010-05       Impact factor: 2.079

3.  Evaluation of an automated superimposition method based on multiple landmarks for growing patients.

Authors:  Min-Gyu Kim; Jun-Ho Moon; Hye-Won Hwang; Sung Joo Cho; Richard E Donatelli; Shin-Jae Lee
Journal:  Angle Orthod       Date:  2022-03-01       Impact factor: 2.079

4.  A hard tissue cephalometric comparative study between hand tracing and computerized tracing.

Authors:  Ramachandra Prabhakar; P Rajakumar; M K Karthikeyan; R Saravanan; N Raj Vikram; Adarsh Reddy
Journal:  J Pharm Bioallied Sci       Date:  2014-07

5.  The application and accuracy of feature matching on automated cephalometric superimposition.

Authors:  Yiran Jiang; Guangying Song; Xiaonan Yu; Yuanbo Dou; Qingfeng Li; Siqi Liu; Bing Han; Tianmin Xu
Journal:  BMC Med Imaging       Date:  2020-03-19       Impact factor: 1.930

  5 in total

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