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Automated objective and marker-free facial grading using photographs of patients with facial palsy

Mothes, Oliver ; Modersohn, Luise ; Volk, Gerd Fabian ; Klingner, Carsten ; Witte, Otto W. ; Schlattmann, Peter ; Denzler, Joachim ; Guntinas-Lichius, Orlando

European archives of oto-rhino-laryngology, 2019-12, Vol.276 (12), p.3335-3343 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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Título:
Automated objective and marker-free facial grading using photographs of patients with facial palsy
Autor: Mothes, Oliver ; Modersohn, Luise ; Volk, Gerd Fabian ; Klingner, Carsten ; Witte, Otto W. ; Schlattmann, Peter ; Denzler, Joachim ; Guntinas-Lichius, Orlando
Assuntos: Adult ; Bell Palsy - physiopathology ; Face - innervation ; Face - physiopathology ; Facial Nerve - physiopathology ; Facial Paralysis - classification ; Facial Paralysis - diagnosis ; Facial Paralysis - etiology ; Facial Paralysis - physiopathology ; Female ; Head and Neck Surgery ; Humans ; Logistic Models ; Male ; Medicine ; Medicine & Public Health ; Middle Aged ; Neurosurgery ; Observer Variation ; Otology ; Otorhinolaryngology ; Photography ; Retrospective Studies
É parte de: European archives of oto-rhino-laryngology, 2019-12, Vol.276 (12), p.3335-3343
Notas: ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Undefined-1
ObjectType-Feature-3
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Descrição: Purpose An automated, objective, fast and simple classification system for the grading of facial palsy (FP) is lacking. Methods An observational single center study was performed. 4572 photographs of 233 patients with unilateral peripheral FP were subjectively rated and automatically analyzed applying a machine learning approach including Supervised Descent Method. This allowed an automated grading of all photographs according to House-Brackmann grading scale (HB), Sunnybrook grading system (SB), and Stennert index (SI). Results Median time to first assessment was 6 days after onset. At first examination, the median objective HB, total SB, and total SI were grade 3, 45, and 5, respectively. The best correlation between subjective and objective grading was seen for SB and SI movement score ( r = 0.746; r = 0.732, respectively). No agreement was found between subjective and objective HB grading [Test for symmetry 80.61, df = 15, p < 0.001, weighted kappa = − 0.0105; 95% confidence interval (CI) = − 0.0542 to 0.0331; p = 0.6541]. Also no agreement was found between subjective and objective total SI (test for symmetry 166.37, df = 55, p < 0.001) although there was a nonzero weighted kappa = 0.2670; CI 0.2154–0.3186; p < 0.0001). Based on a multinomial logistic regression the probability for higher scores was higher for subjective compared to objective SI (OR 1.608; CI 1.202–2.150; p = 0.0014). The best agreement was seen between subjective and objective SB (ICC = 0.34645). Conclusions Automated Sunnybrook grading delivered with fair agreement fast and objective global and regional data on facial motor function for use in clinical routine and clinical trials.
Editor: Berlin/Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês

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Automated objective and marker-free facial grading using photographs of patients with facial palsy

Mothes, Oliver ; Modersohn, Luise ; Volk, Gerd Fabian ; Klingner, Carsten ; Witte, Otto W. ; Schlattmann, Peter ; Denzler, Joachim ; Guntinas-Lichius, Orlando

Berlin/Heidelberg: Springer Berlin Heidelberg

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