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Year : 2020  |  Volume : 10  |  Issue : 3  |  Page : 286-291

Comparative evaluation of CephNinja for android and NemoCeph for computer for cephalometric analysis: A study to evaluate the diagnostic performance of CephNinja for cephalometric analysis

1 Vardhman Institute of Medical Sciences, Pawapuri, Nalanda, Bihar, India
2 Department of Prosthodontics and Crown & Bridge, Buddha Institute of Dental Sciences & Hospital, Patna, Bihar, India
3 Department of Orthodontics, Divya Jyoti (D.J.) College of Dental Sciences & Research, Modinagar, Uttar Pradesh, Bihar, India
4 Department of Conservative Dentistry and Endodontics, Patna Dental College & Hospital, Patna, Bihar, India
5 Faculty of Dentistry, Nalanda Medical College & Hospital, Patna, Bihar, India
6 Faculty of Dentistry, Patna Medical College & Hospital, Patna, Bihar, India
7 Department of Conservative Dentistry and Endodontics, Buddha Institute of Dental Sciences & Hospital, Patna, Bihar, India

Correspondence Address:
Dr. Sommya Kumari
Buddha Institute of Dental Sciences & Hospital, West of TV Tower, Sanjay Gandhi Nagar Road, Kankarbagh, Patna 800020, Bihar
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jispcd.JISPCD_4_20

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Background: Since the introduction of digitization in cephalometrics, orthodontics has experienced a new horizon. Technological advancement is usually followed by comparisons between the methods. Aims: The aim of this study was to compare values of cephalometric analysis performed by CephNinja and NemoCeph for Downs’s analysis. Settings and Design: This prospective study was conducted using 100 diagnostic digital lateral cephalograms taken from the same machine. The samples were collected by non-probability convenience sampling procedures. Materials and Methods: The diagnostic images were cropped to standard lateral cephalogram film dimension; a scale image was placed on the top for calibration, numbered 1–100 for identification and was saved in Joint Photographic Experts Group (JPEG) format. A laptop with mouse-controlled cursor was used for NemoCeph and an android phone controlled with finger touch screen was used for CephNinja. Landmark identification for cephalometric analysis was carried out as demanded by the software. Statistical Analysis Used: One-way analysis of variance (ANOVA) was used for comparison between the variables, and one-way ANOVA followed by post hoc test was carried out to check the level of significance using Statistical Package for the Social Sciences software program, version 11.0. Results: The result showed that the difference of mean values obtained using the two software showed no statistical significance for 70% variables. Y-axis, incisor occlusal plane angle, and the upper incisor to A-Pog showed a statistically significant difference. Conclusion: CephNinja presented a satisfactory result with NemoCeph, and can be used interchangeably with confidence.

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