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Using Eye Aspect Ratio to Enhance Fast and Objective Assessment of Facial Paralysis

机译:使用眼睛纵横比增强面部瘫痪的快速和客观评估

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A rapid and objective assessment of the severity of facial paralysis allows rehabilitation physicians to choose the optimal rehabilitation treatment regimen for their patients. In this study, patients with facial paralysis were enrolled as study objects, and the eye aspect ratio (EAR) index was proposed for the eye region. The correlation between EAR and the facial nerve grading system 2.0 (FNGS 2.0) score was analyzed to verify the ability of EAR to enhance FNGS 2.0 for the rapid and objective assessment of the severity of the facial paralysis. Firstly, in order to accurately calculate the EAR, we constructed a landmark detection model based on the face images of facial paralysis patients (FP-FLDM). Evaluation results showed that the error rate of facial feature point detection in patients with facial paralysis of FP-FLDM is 17.1%, which was significantly superior to the landmark detection model based on normal face images (NF-FLDM). Secondly, in this study, the Fréchet distance was used to calculate the difference in bilateral EAR of facial paralysis patients and to verify the correlation between this difference and the corresponding FNGS 2.0 score. The results showed that the higher the FNGS 2.0 score , the greater the difference in bilateral EAR. The correlation coefficient between the bilateral EAR difference and the corresponding FNGS 2.0 score was 0.9673, indicating a high correlation. Finally, through a 10-fold crossvalidation, we can know that the accuracy of scoring the eyes of patients with facial paralysis using EAR was 85.7%, which can be used to enhance the objective and rapid assessment of the severity of facial paralysis by FNGS 2.0.
机译:对面部瘫痪严重程度的快速和客观评估使康复医生能够为其患者选择最佳的康复治疗方案。在这项研究中,患有面瘫的患者被称为研究目的,并且针对眼睛区域提出了眼睛纵横比(耳)指数。分析耳朵与面神经分级系统2.0(FNGS 2.0)分数的相关性,以验证耳朵的能力,以增强FNG 2.0,以便快速和客观评估面部瘫痪的严重程度。首先,为了准确计算耳朵,我们构建了基于面部瘫痪患者的面部图像(FP-FLDM)的地标检测模型。评价结果表明,FP-FLDM面部瘫痪患者面部特征点检测的错误率为17.1%,基于正常面部图像(NF-FLDM)显着优于地标检测模型。其次,在本研究中,Fréchet距离用于计算面部瘫痪患者的双侧耳的差异,并验证这种差异与相应的FNG 2.0分数之间的相关性。结果表明,FNG 2.0得分越高,双侧耳的差异越大。双侧耳差和相应的FNG 2.0分数之间的相关系数为0.9673,表明高相关。最后,通过10倍的交叉验证,我们可以知道使用耳朵进行面部瘫痪患者的眼睛的准确性为85.7%,可用于增强对FNGS 2.0的面部瘫痪的严重程度的目标和快速评估。

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