Quantitative Analysis of Preoperative and Postoperative Photographs Posted on Social Media by Oculoplastic Surgeons.

Abstract

To investigate and quantitatively analyze preoperative and postoperative photographs posted on social media by oculoplastic surgeons. Pre- and postoperative blepharoplasty photographs posted by oculoplastic surgeons on the social media platform Instagram were identified over a 4-month period. Photographs demonstrating a frontal pose of the periocular region were selected, and image analysis was performed to compare the preoperative and postoperative photographs. Quantitative image analysis was performed with a semiautomated script using ImageJ (v1.52k) software. Image analysis compared magnification, patient position, luminosity, relative color profiles, and edge detection/sharpness. Three oculoplastic surgeons graded these imaging metrics for the same photoset and the consensus grade was assigned to each category. Finally, the quantitative calculations were then compared with the consensus grades to develop receiver operating characteristic curves for further analysis. The study included 104 posts from 35 members of ASOPRS. Regarding patient positioning, 9 postings were 5%-10% offset from the patients' center, and 6 postings were more than 10% from the patients' center. The majority of photosets demonstrated less than or equal to 2.5% difference in magnification (69/104), with 7 postings demonstrating a greater than 5% difference, and 3 postings exhibiting greater than 10% difference in magnification. In the periocular region, 17.3% (18/104) of postings were found to have a greater than 10% difference in luminosity (>25.5 pixel-value). A more than 5% difference (>12.75 pixel-value) in pre- and postoperative edge-detection measurements was identified in 12 of 104 postings. In 22 of 104 photosets, the mean absolute deviation in color channel ratios was more than 0.01 and 15 of 104 photosets were found to have a mean absolute deviation more than 0.05. Numerous quantifiable photographic inconsistencies were identified in surgical photographs posted on social media by members of ASOPRS. Adoption of an automated image analysis tool that compares before-and-after surgical photographs could promote standardized oculoplastic surgery photography on social media.