1. Analysis of Eyelid Blink Characteristics in Patients with Ptosis Using a Smartphone Camera
- Author
-
Jin Ho Joo, Tae-Sung Joo, In Ki Park, and Jae-Ho Shin
- Subjects
medicine.medical_specialty ,business.industry ,03 medical and health sciences ,Ophthalmology ,0302 clinical medicine ,medicine.anatomical_structure ,Ptosis ,030221 ophthalmology & optometry ,medicine ,In patient ,Eyelid ,medicine.symptom ,business ,030217 neurology & neurosurgery - Abstract
Purpose: To compare eyelid blink characteristics between patients with ptosis and healthy controls using a smartphone camera. Methods: The ptosis group consisted of 20 senile aponeurotic ptosis patients with margin reflex distance1 ≤2.5 mm and the control group consisted of 10 healthy subjects without ptosis. The ptosis group was further divided into two groups based on an age cutoff of 70 years. Palpebral fissure height, levator function, margin reflex distance1, inter-blink interval, blink duration, blink rate, and blink velocity were measured and compared between the three groups based on photographs of the eyelids and videos of blinking taken with a smartphone camera. Results: The palpebral fissure height, levator function, margin reflex distance1, and blink velocity were lower in the ptosis groups than in the control group but these values did not differ between the two ptosis groups. The palpebral fissure height, levator function, and margin reflex distance1 were correlated with blink velocity. In the receiver operating characteristic (ROC) curve of blink velocity, the area under the receiver operating characteristic (AUROC) curve value was as high as 0.969 and the cut-off value was 32.36 mm/s. Conclusions: It is possible to analyze eyelid blink characteristics using a smartphone camera and the results confirmed that palpebral fissure height, levator function, margin reflex distance1, and blink velocity were lower in the senile aponeurotic ptosis group than in the healthy control group and were unaffected by age. Additionally, blink velocity is valuable for diagnosis of ptosis due to the correlation between the degree of ptosis, blink velocity, and the ROC curve of blink velocity.
- Published
- 2021