基于算法的评级系统评估抗精神病药物诱发的颈肌张力障碍的严重程度

Toshiya Inada, Yuta Tanabe, Yuji Fukaya, Kazuyoshi Ogasawara, Nobutomo Yamamoto
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引用次数: 0

摘要

背景:抗精神病药物诱发的颈肌张力障碍的严重程度传统上通过视觉进行评估。然而,最近信息技术的进步通过引入机器学习等工程方法,使这一领域的量化成为可能:本研究于 2021 年 6 月至 2023 年 3 月进行。精神科医生将 87 名接受抗精神病药物治疗的精神病患者录制的 101 个视频片段的颈肌张力障碍严重程度分为 4 级(0:无;1:轻微;2:轻度;3:中度)。我们使用开源框架 MediaPipe 的 Face Mesh 功能来计算前颈或后颈、后颈和迂回颈的倾斜角度。计算这些角度的目的是研究不同类型颈肌张力障碍的 4 个严重程度的倾斜角度范围:结果:使用 Face Mesh 计算出的每个肌张力障碍程度的倾斜角度分别为:0° ≤ θ < 6°为无,6° ≤ θ < 11°为轻度,11° ≤ θ < 25°为轻度,25° ≤ θ 为中度;0°≤θ<11°为无,11°≤θ<18°为轻度,18°≤θ<25°为轻度,25°≤θ为中度前锁或后锁;0°≤θ<9°为无,9°≤θ<17°为轻度,17°≤θ<32°为轻度,32°≤θ为中度迂曲。结论:虽然需要对新病例进行进一步验证,但本研究中的倾斜角度范围可为未来治疗颈肌张力障碍的人工智能设备提供一个标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Severity of Antipsychotic-Induced Cervical Dystonia Assessed by the Algorithm-Based Rating System.
Background: The severity of antipsychotic-induced cervical dystonia has traditionally been evaluated visually. However, recent advances in information technology made quantification possible in this field through the introduction of engineering methodologies like machine learning. Methods: This study was conducted from June 2021 to March 2023. Psychiatrists rated the severity of cervical dystonia into 4 levels (0: none, 1: minimal, 2: mild, and 3: moderate) for 101 videoclips, recorded from 87 psychiatric patients receiving antipsychotics. The Face Mesh function of the open-source framework MediaPipe was employed to calculate the tilt angles of anterocollis or retrocollis, laterocollis, and torticollis. These were calculated to examine the range of tilt angles for the 4 levels of severity of the different types of cervical dystonia. Results: The tilt angles calculated using Face Mesh for each level of dystonia were 0° ≤ θ < 6° for none, 6° ≤ θ < 11° for minimal, 11° ≤ θ < 25° for mild, and 25° ≤ θ for moderate laterocollis; 0° ≤ θ < 11° for none, 11° ≤ θ < 18° for minimal, 18° ≤ θ <25° for mild, and 25° ≤ θ for moderate anterocollis or retrocollis; and 0° ≤ θ < 9° for none, 9° ≤ θ < 17° for minimal, 17° ≤ θ < 32° for mild, and 32° ≤ θ for moderate torticollis. Conclusion: While further validation with new cases is needed, the range of tilt angles in this study could provide a standard for future artificial intelligence devices for cervical dystonia.
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