Image processing software predicting levator resection outcome - Video abstract 116891 скачать в хорошем качестве

Image processing software predicting levator resection outcome - Video abstract 116891

Video abstract of original research paper "Predictive images of postoperative levator resection outcome using image processing software” published in the open access journal Clinical Ophthalmology by Mawatari and Fukushima. Purpose: This study aims to evaluate the efficacy of processed images to predict postoperative appearance following levator resection. Methods: Analysis involved 109 eyes from 65 patients with blepharoptosis who underwent advancement of levator aponeurosis and Müller’s muscle complex (levator resection). Predictive images were prepared from preoperative photographs using the image processing software (Adobe Photoshop®). Images of selected eyes were digitally enlarged in an appropriate manner and shown to patients prior to surgery. Results: Approximately 1 month postoperatively, we surveyed our patients using questionnaires. Fifty-six patients (89.2%) were satisfied with their postoperative appearances, and 55 patients (84.8%) positively responded to the usefulness of processed images to predict postoperative appearance. Conclusion: Showing processed images that predict postoperative appearance to patients prior to blepharoptosis surgery can be useful for those patients concerned with their postoperative appearance. This approach may serve as a useful tool to simulate blepharoptosis surgery. Keywords: levator resection, blepharoptosis, image processing, Adobe Photoshop® Read the original research paper here: https://www.dovepress.com/predictive-...