Suppr超能文献

一种新的计算机化客观测量面瘫的临床评估方法。

Clinical assessment of a new computerised objective method of measuring facial palsy.

机构信息

Department of Oto-Rhino-Laryngology and Head-Neck Surgery, University of Szeged, Szeged, Hungary.

出版信息

Clin Otolaryngol. 2011 Aug;36(4):313-9. doi: 10.1111/j.1749-4486.2011.02329.x.

Abstract

OBJECTIVE

To compare the results using a new computerised objective method of assessing the degree of facial palsy with the results obtained using traditional clinical methods.

DESIGN

Prospective computerised pixel change analysis and clinical evaluation of videos.

SETTING

Tertiary referral centre.

PARTICIPANTS

Subjects with varying degrees of unilateral facial palsy.

METHODS

Comparison of the results obtained from an objective computerised method, the Glasgow Facial Palsy Scale, with the standard subjective clinical methods of the House-Brackmann Scale, Yanagihara, Sunnybrook Grading Scales and the objective clinical Stennert-Limberg-Frentrup Scale.

RESULTS

Statistical analysis of the results from the objective computerised system indicated that there is an averagely strong correlation with the results from the House-Brackmann (Spearman's coefficient of 0.64), Sunnybrook (Pearson coefficient of 0.7) and Stennert-Limberg-Frentrup Scale (Pearson coefficient of 0.65), and it therefore has the ability to produce consistent results that agree with traditional clinical methods. It has a strong correlation with the Yanagihara Grading Scale (Pearson coefficient of 0.72) indicating that it may also have the ability to detect and record variations in the different regions of the face.

CONCLUSION

This new computerised objective method of assessing the degree of facial palsy shows promise as a standardised objective method of assessing the degree of facial palsy.

摘要

目的

比较使用新的计算机化客观方法评估面瘫程度的结果与传统临床方法获得的结果。

设计

前瞻性计算机像素变化分析和视频临床评估。

地点

三级转诊中心。

参与者

患有不同程度单侧面瘫的受试者。

方法

将格拉斯哥面瘫量表的客观计算机化方法获得的结果与 House-Brackmann 量表、Yanagihara、Sunnybrook 分级量表和客观临床 Stennert-Limberg-Frentrup 量表的标准主观临床方法进行比较。

结果

对客观计算机系统结果的统计分析表明,与 House-Brackmann(Spearman 系数为 0.64)、Sunnybrook(Pearson 系数为 0.7)和 Stennert-Limberg-Frentrup 量表(Pearson 系数为 0.65)的结果具有平均较强的相关性,因此它具有产生一致结果的能力,与传统临床方法一致。它与 Yanagihara 分级量表(Pearson 系数为 0.72)具有很强的相关性,表明它也可能具有检测和记录面部不同区域变化的能力。

结论

这种新的计算机化客观面瘫程度评估方法有望成为面瘫程度评估的标准化客观方法。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验