Predictive images of postoperative levator resection outcome using image processing software

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 rese...

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Autores principales:	Mawatari Y, Fukushima M
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2016
Materias:	levator resection blepharoptosis image-processing Adobe Photoshop® Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/4c6dbf7aa4024eff8e708be70a106af1
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spelling	oai:doaj.org-article:4c6dbf7aa4024eff8e708be70a106af12021-12-02T00:22:29ZPredictive images of postoperative levator resection outcome using image processing software1177-5483https://doaj.org/article/4c6dbf7aa4024eff8e708be70a106af12016-09-01T00:00:00Zhttps://www.dovepress.com/predictive-images-of-postoperative-levator-resection-outcome-using-ima-peer-reviewed-article-OPTHhttps://doaj.org/toc/1177-5483Yuki 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® Mawatari YFukushima MDove Medical Pressarticlelevator resectionblepharoptosisimage-processingAdobe Photoshop®OphthalmologyRE1-994ENClinical Ophthalmology, Vol Volume 10, Pp 1877-1881 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	levator resection blepharoptosis image-processing Adobe Photoshop® Ophthalmology RE1-994
spellingShingle	levator resection blepharoptosis image-processing Adobe Photoshop® Ophthalmology RE1-994 Mawatari Y Fukushima M Predictive images of postoperative levator resection outcome using image processing software
description	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®
format	article
author	Mawatari Y Fukushima M
author_facet	Mawatari Y Fukushima M
author_sort	Mawatari Y
title	Predictive images of postoperative levator resection outcome using image processing software
title_short	Predictive images of postoperative levator resection outcome using image processing software
title_full	Predictive images of postoperative levator resection outcome using image processing software
title_fullStr	Predictive images of postoperative levator resection outcome using image processing software
title_full_unstemmed	Predictive images of postoperative levator resection outcome using image processing software
title_sort	predictive images of postoperative levator resection outcome using image processing software
publisher	Dove Medical Press
publishDate	2016
url	https://doaj.org/article/4c6dbf7aa4024eff8e708be70a106af1
work_keys_str_mv	AT mawatariy predictiveimagesofpostoperativelevatorresectionoutcomeusingimageprocessingsoftware AT fukushimam predictiveimagesofpostoperativelevatorresectionoutcomeusingimageprocessingsoftware
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Predictive images of postoperative levator resection outcome using image processing software

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