A comparison of cephalometric measurements obtained from two computerized cephalometric softwares with manual tracings

Mahto, Ravi Kumar; Kharbanda, Om Prakash; Duggal, Ritu; Sardana, Harish Kumar

doi:10.1177/0974909820160306

Cited by 13 publications

(24 citation statements)

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“…A high level of agreement (ICC >0.9) for cephalometric measurements was obtained from both the computerized softwares Dolphin ® and AutoCEPH © in comparison with manual tracings. [23] The present study was conducted with an aim of comparing the digital and conventional tracing methods of PA cephalogram in terms of the reliability (agreement between two measurements of the same object) as well as reproducibility (agreement between two measurements of two methods). Furthermore, accuracy and reproducibility of linear and angular cephalometric measurements obtained from indigenously developed computerized cephalometric software "AutoCEPH © " version 2.1.1 was compared with manual and Dolphin ® imaging software version 11.9 (Dolphin Imaging, Chatsworth, California, USA), respectively.…”

Section: Discussionmentioning

confidence: 99%

Comparison of Reliability and Validity of Posteroanterior Cephalometric Measurements Obtained from AutoCEPH© and Dolphin® Cephalometric Software Programs with Manual Tracing

Sangroula

Sardana

Kharbanda

et al. 2018

J Indian Orthod Soc

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The objective of this study is to evaluate the reliability and accuracy of linear and angular cephalometric measurements obtained from two computerized cephalometric analysis software programs, namely AutoCEPH © (version 2.1.1) and Dolphin ® (version 11.9) as compared to manual tracings in posteroanterior (PA) cephalometry. Materials and Methods: Sixty pretreatment (PA) cephalograms were selected from the database of a postgraduate orthodontic clinic. The digital images of each cephalogram were imported directly into two softwares Dolphin ® and AutoCEPH © for digitization. For manual tracings, digital images were printed using an X-ray printer (Drystar 5302, Agfa HealthCare NV, Mortsel, Belgium). After images were standardized and calibrated, 19 anatomical landmarks were plotted on each cephalogram. These landmarks were then utilized to evaluate 17 cephalometric parameters. Intraclass correlation coefficient (ICC) was used to determine both intrarater reliability for repeated measurements and agreement between linear and angular measurements obtained from the three methods. Results: High ICC values in the range of 0.813-0.998 were obtained for all parameters while comparing three methods, i.e., manual tracings versus AutoCEPH © ; manual tracings versus Dolphin ® ; and AutoCEPH © versus Dolphin®. Conclusion: A high level of agreement (ICC >0.8) for cephalometric measurements was obtained from both the computerized softwares Dolphin ® and AutoCEPH © in comparison with manual tracings.

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Section: Discussionmentioning

confidence: 99%

Comparison of Reliability and Validity of Posteroanterior Cephalometric Measurements Obtained from AutoCEPH© and Dolphin® Cephalometric Software Programs with Manual Tracing

Sangroula

Sardana

Kharbanda

et al. 2018

J Indian Orthod Soc

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“…As errors may occur during landmark identification, it is necessary to verify whether this AI-based software is reliable and reproducible when compared to a previously validated digital software (AutoCEPH © ) and the traditional manual tracing. 14 …”

Section: Introductionmentioning

confidence: 99%

Reproducibility of linear and angular cephalometric measurements obtained by an artificial-intelligence assisted software (WebCeph) in comparison with digital software (AutoCEPH) and manual tracing method

Prince

Srinivasan

Duraisamy

et al. 2023

Dental Press J. Orthod.

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Introduction: It has been suggested that human errors during manual tracing of linear/angular cephalometric parameters can be eliminated by using computer-aided analysis. The landmarks, however, are located manually and the computer system completes the analysis. With the advent of Artificial Intelligence in the field of Dentistry, automatic location of the landmarks has become a promising tool in digital Orthodontics. Methods: Fifty pretreatment lateral cephalograms obtained from the Orthodontic department of SRM dental college (India) were used. Analysis were done by the same investigator using the following methods: WebCeph™, AutoCEPH© for Windows or manual tracing. Landmark identification was carried out automatically by Artificial Intelligence in WebCeph™ and with a mouse driven cursor in AutoCEPH©, and manually using acetate sheet and 0.3-mm pencil, ruler and a protractor. The mean differences of the cephalometric parameters obtained between the three methods were calculated using ANOVA with statistical significance set at p<0.05. Intraclass correlation coefficient (ICC) was used to determine both reproducibility and agreement between linear and angular measurements obtained from the three methods and intrarater reliability of repeated measurements. ICC value of >0.75 indicated good agreement. Results: Intraclass correlation coefficient between the three groups was >0.830, showing good level of agreement, and the value within each group was >0.950, indicating high intrarater reliability. Conclusion: Artificial Intelligence assisted software showed good agreement with AutoCEPH© and manual tracing for all the cephalometric measurements.

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“…Cephalometric analysis aids the orthodontist in diagnosing problems, monitoring treatment, and assessing patient growth. Currently, cephalometric analysis is commonly performed digitally 1, 2 ; however, software designed specifically for digital cephalometric analysis is expensive. One low-cost alternative is to use Keynote, a program developed by Apple for presenting visual data (Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Technique for Cephalometric Analysis Using Keynote

Shahrul

2022

J Indian Orthod Soc

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A comparison of cephalometric measurements obtained from two computerized cephalometric softwares with manual tracings

Cited by 13 publications

References 0 publications

Comparison of Reliability and Validity of Posteroanterior Cephalometric Measurements Obtained from AutoCEPH© and Dolphin® Cephalometric Software Programs with Manual Tracing

Comparison of Reliability and Validity of Posteroanterior Cephalometric Measurements Obtained from AutoCEPH© and Dolphin® Cephalometric Software Programs with Manual Tracing

Reproducibility of linear and angular cephalometric measurements obtained by an artificial-intelligence assisted software (WebCeph) in comparison with digital software (AutoCEPH) and manual tracing method

Technique for Cephalometric Analysis Using Keynote

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