Predictive images of postoperative levator resection outcome using image processing software
Authors Mawatari Y, Fukushima M
Received 10 July 2016
Accepted for publication 18 August 2016
Published 27 September 2016 Volume 2016:10 Pages 1877—1881
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
Yuki Mawatari,1 Mikiko Fukushima2
1Igo Ophthalmic Clinic, Kagoshima, 2Department of Ophthalmology, Faculty of Life Science, Kumamoto University, Chuo-ku, Kumamoto, Japan
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®
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