Comparison between Subjective Scoring and Computer-Based Asymmetry Assessment in Facial Nerve Palsy
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Background and Objectives: The aim of the present study was to assess the feasibility of aPC-based facial asymmetry assessment program (PC-FAAP) and to compare the results ofPC-FAAP with subjective regional scoring by raters in acute unilateral peripheral facial nerveparalysis (FNP). Subjects and Methods: Participants were divided into 3 groups with 8participants per group: group I, normal; group II, mild to moderate FNP; and group III, severeFNP. Using the PC-FAAP, the mouth asymmetry ratio (MAR), eyebrow asymmetry ratio(EAR), and complete eye closure asymmetry ratio (CAR) were calculated by comparing themovement of tracking points on both sides. The FNP grading scale (FGS) integrated eachscore, and the scores were weighted with a ratio of 5:3:2 (MAR:CAR:EAR). Subjective regionalscoring was measured on a 0-100 scale score by three otologists. PC-FAAP andsubjective scoring were compared in each group regarding the consistency of the results. Results: The mean scores of the MAR, EAR, CAR, and FGS of each group were significantlydifferent. PC-FAAP showed significant differences between the three groups in terms ofMAR, EAC, CAR, and FGS. PC-FAAP showed more consistent results than subjective assessment(p<0.001). The PC-FAAP was significantly more consistent in group I and groupIII (p<0.001 and p=0.002, respectively). FGS in group III was the only parameter thatshowed a more consistent result in PC-FAAP than the subjective scoring (p=0.008). Conclusions:An FNP grading system using a PC-based program may provide more consistentresults, especially for severe forms.
Abstract
Background and Objectives: The aim of the present study was to assess the feasibility of aPC-based facial asymmetry assessment program (PC-FAAP) and to compare the results ofPC-FAAP with subjective regional scoring by raters in acute unilateral peripheral facial nerveparalysis (FNP). Subjects and Methods: Participants were divided into 3 groups with 8participants per group: group I, normal; group II, mild to moderate FNP; and group III, severeFNP. Using the PC-FAAP, the mouth asymmetry ratio (MAR), eyebrow asymmetry ratio(EAR), and complete eye closure asymmetry ratio (CAR) were calculated by comparing themovement of tracking points on both sides. The FNP grading scale (FGS) integrated eachscore, and the scores were weighted with a ratio of 5:3:2 (MAR:CAR:EAR). Subjective regionalscoring was measured on a 0-100 scale score by three otologists. PC-FAAP andsubjective scoring were compared in each group regarding the consistency of the results. Results: The mean scores of the MAR, EAR, CAR, and FGS of each group were significantlydifferent. PC-FAAP showed significant differences between the three groups in terms ofMAR, EAC, CAR, and FGS. PC-FAAP showed more consistent results than subjective assessment(p<0.001). The PC-FAAP was significantly more consistent in group I and groupIII (p<0.001 and p=0.002, respectively). FGS in group III was the only parameter thatshowed a more consistent result in PC-FAAP than the subjective scoring (p=0.008). Conclusions:An FNP grading system using a PC-based program may provide more consistentresults, especially for severe forms.
참고문헌 (15)
- Eviston TJ, "Bell’s palsy: aetiology, clinical features and multidisciplinary care", J Neurol Neurosurg Psychiatry, 86, pp.1356~1361 (2015)
- Chong LSH, "Validation of the clinician-graded electronic facial paralysis assessment", Plast Reconstr Surg, 140, pp.159~167 (2017)
- Zago M, "Photographic technique for the quantitative assessment of lagophthalmos and eyelid position in patients with facial palsy", Br J Oral Maxillofac Surg, 55, pp.548~550 (2017)
- Santosa KB, "Photographic standards for patients with facial palsy and recommendations by members of the Sir Charles Bell Society", JAMA Facial Plast Surg, 19, pp.275~281 (2017)
- Barbosa J, "Efficient quantitative assessment of facial paralysis using iris segmentation and active contour-based key points detection with hybrid classifier", BMC Med Imaging, 16, pp.23~ (2016)
- Banks CA, "Worldwide testing of the eFACE facial nerve clinician-graded scale", Plast Reconstr Surg, 139, pp.491e~498e (2017)
- Asthana A, "Facial performance transfer via deformable models and parametric correspondence", IEEE Trans Vis Comput Graph, 18, pp.1511~1519 (2012)
- Kim HS, "A smartphone-based automatic diagnosis system for facial nerve palsy", Sensors (Basel), 15, pp.26756~26768 (2015)
- Mun SJ, "Characteristics of the perception for unilateral facial nerve palsy", Eur Arch Otorhinolaryngol, 272, pp.3253~3259 (2015)
- Botman JW, "On transitory recovery immediately after facial nerve grafting and its cause", Acta Otolaryngol, 45, pp.305~311 (1955)
- House JW, "Facial nerve grading system", Otolar yngol Head Neck Surg, 93, pp.146~147 (1985)
- Fattah AY, "Facial nerve grading instruments: systematic review of the literature and suggestion for uniformity", Plast Reconstr Surg, 135, pp.569~579 (2015)
- O’Reilly BF, "Objective method of assessing and presenting the House-Brackmann and regional grades of facial palsy by production of a facogram", Otol Neurotol, 31, pp.486~491 (2010)
- Cohen SR, "Skeletal expansion combined with soft-tissue reduction in the treatment of obstructive sleep apnea in children: physiologic results", Otolaryngol Head Neck Surg, 119, pp.476~485 (1998)
- Vrabec JT, "Facial Nerve Grading System 2.0", Otolaryngol Head Neck Surg, 140, pp.445~450 (2009)