人工智能和手动描记三维头颅测量对比分析

IF 3 3区 医学 Q1 MEDICINE, GENERAL & INTERNAL
Zurab Khabadze, Oleg Mordanov, Ekaterina Shilyaeva
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引用次数: 0

摘要

目的比较使用人工智能进行的三维头颅测量分析与专业正畸医生手动进行的分析:研究中使用的 CBCT 扫描(视野为 15 × 15 厘米)来自 30 名年龄在 18 至 50 岁之间的连续患者。三维头颅测量分析采用两种方法进行。第一种方法是使用 Invivo 6 软件(Anatomage Inc.)第二种方法是在 Diagnocat 系统(Diagnocat 有限公司,美国加利福尼亚州旧金山)生成的正畸报告中使用人工智能进行头形测量:结果:在下列测量中,参数在一个标准差范围内的差异具有统计学意义:SNA、SNB 和左侧颊间隙角。下列测量值在两个标准差范围内有明显的统计学差异:左右龈角、左上切牙和右下切牙。超过两个标准差的差异无统计学意义:以 Diagnocat 为形式的 AI 被证明在评估下颌生长方向、确定骨骼等级、估计咬合过度、咬合过度和 Wits 参数方面是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing.

Objectives: To compare 3D cephalometric analysis performed using AI with that conducted manually by a specialist orthodontist.

Methods: The CBCT scans (a field of view of 15 × 15 cm) used in the study were obtained from 30 consecutive patients, aged 18 to 50. The 3D cephalometric analysis was conducted using two methods. The first method involved manual tracing performed with the Invivo 6 software (Anatomage Inc., Santa Clara, CA, USA). The second method involved using AI for cephalometric measurements as part of an orthodontic report generated by the Diagnocat system (Diagnocat Ltd., San Francisco, CA, USA).

Results: A statistically significant difference within one standard deviation of the parameter was found in the following measurements: SNA, SNB, and the left interincisal angle. Statistically significant differences within two standard deviations were noted in the following measurements: the right and left gonial angles, the left upper incisor, and the right lower incisor. No statistically significant differences were observed beyond two standard deviations.

Conclusions: AI in the form of Diagnocat proved to be effective in assessing the mandibular growth direction, defining the skeletal class, and estimating the overbite, overjet, and Wits parameter.

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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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