Artificial Intelligence-Supported and App-Aided Cephalometric Analysis: Which One Can We Trust?

IF 3.3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL Diagnostics Pub Date : 2025-02-26 DOI:10.3390/diagnostics15050559
Senol Koz, Ozge Uslu-Akcam
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Abstract

Background: This study aimed to compare the reproducibility and reliability of the AI-supported WebCeph and app-aided OneCeph cephalometric analysis programs with a manual analysis method and to evaluate the analysis times. Methods: The study material consisted of pretreatment lateral cephalograms from 110 cases. Cephalometric analyses were performed manually, using the WebCeph program, and using the OneCeph application. A total of 11 skeletal, 6 dental, and 3 soft tissue parameters were measured. Cephalometric analyses of 30 randomly selected cases were performed again using three methods. The analysis times were recorded. Results: The WebCeph program and OneCeph application are highly compatible with the manual analysis method in terms of all parameters, except for SN measurement. It was found that the WebCeph program and the OneCeph application demonstrated moderate agreement in U1-NA distance measurement, while statistically high agreement was observed among all three methods for other dental parameters. It was determined that there was a moderate agreement among the methods in terms of nasolabial angle, whereas a statistically high level of agreement was found for the other soft tissue parameters. The analysis time was found to be the lowest in the WebCeph program and the highest in the manual analysis method. Conclusions: The WebCeph program and OneCeph application showed a high degree of compatibility with the manual analysis method, except for SN, SNA, Gonial angle, Articular angle, U1-NA distance and nasolabial angle measurements. Due to the higher correlation between OneCeph and the manual method, it can be concluded that the OneCeph application is the best alternative to the manual method.

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人工智能支持和应用辅助的头部测量分析:我们可以信任哪一个?
背景:本研究旨在比较人工智能支持的WebCeph和应用辅助的OneCeph头颅测量分析程序与人工分析方法的再现性和可靠性,并对分析次数进行评价。方法:研究材料为110例前处理侧位脑电图。使用WebCeph程序和OneCeph应用程序手动进行头部测量分析。共测量了11个骨骼、6个牙齿和3个软组织参数。随机选取30例患者,再次采用三种方法进行头颅测量分析。记录分析时间。结果:WebCeph程序和OneCeph应用程序除SN测量外,与手工分析方法在各参数上均具有较高的兼容性。我们发现WebCeph程序和OneCeph应用程序在U1-NA距离测量上表现出中等程度的一致性,而在其他牙科参数上,三种方法的一致性在统计学上是很高的。结果表明,在鼻唇角方面,各种方法之间存在适度的一致性,而在其他软组织参数方面,统计上的一致性很高。WebCeph程序的分析时间最短,手工分析方法的分析时间最长。结论:WebCeph程序和OneCeph应用程序除SN、SNA、角、关节角、U1-NA距离和鼻唇角测量外,与手工分析方法具有高度的兼容性。由于OneCeph和手动方法之间的相关性较高,因此可以得出结论,OneCeph应用程序是手动方法的最佳替代方案。
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来源期刊
Diagnostics
Diagnostics Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
4.70
自引率
8.30%
发文量
2699
审稿时长
19.64 days
期刊介绍: Diagnostics (ISSN 2075-4418) is an international scholarly open access journal on medical diagnostics. It publishes original research articles, reviews, communications and short notes on the research and development of medical diagnostics. There is no restriction on the length of the papers. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible. Full experimental and/or methodological details must be provided for research articles.
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