Literature DB >> 25559509

Retina evaluation with nonmydriatic ultrawide-field color imaging after cataract extraction surgeries in asymptomatic patients.

Shulamit Schwartz, Carmen Luz Gonzalez, Ramanath Bhandari, Scott N Oliver, Naresh Mandava, Hugo Quiroz-Mercado.   

Abstract

BACKGROUND AND
OBJECTIVE: To evaluate the role of nonmydriatic ultrawide-field (UWF) color retinal imaging as a screening tool in the follow-up of asymptomatic patients after cataract extraction surgeries. PATIENTS AND METHODS: A retrospective, observational case series. A review of electronic medical records identified patients after cataract extraction followed with UWF retinal imaging (Optos 200Tx; Optos, Dunfermline, Scotland). Images were graded and reviewed by a retina specialist. Outcome measures included image quality, the detection of peripheral lesions, and association with perioperative risk factors.
RESULTS: Seventy-six eyes of 58 consecutive patients were enrolled. A good visualization of the peripheral retina was accomplished in more than 90% of patients. Peripheral lesions were identified in 40 eyes (52.6%) with no surgery-related retinal breaks and/or detachments. Additional pathologies were found in 35 eyes (46.1%).
CONCLUSION: Nonmydriatic UWF color retinal imaging was found to be a useful screening tool in the follow-up of asymptomatic patients after cataract extraction in this series. Copyright 2015, SLACK Incorporated.

Entities:  

Mesh:

Year:  2015        PMID: 25559509     DOI: 10.3928/23258160-20150101-08

Source DB:  PubMed          Journal:  Ophthalmic Surg Lasers Imaging Retina        ISSN: 2325-8160            Impact factor:   1.300


  2 in total

1.  Ultra-wide field imaging system and traditional retinal examinations for screening fundus changes after cataract surgery.

Authors:  Jie Peng; Qi Zhang; Hai-Ying Jin; Wu-Yi Lu; Pei-Quan Zhao
Journal:  Int J Ophthalmol       Date:  2016-09-18       Impact factor: 1.779

2.  A Novel Method for the Objective Identification of Hyperautofluorescent Ring in Retinitis Pigmentosa Using Binarization Processing.

Authors:  Yohei Hashimoto; Tatsuya Inoue; Takashi Ono; Jinhee Lee; Saori Tsuneyoshi; Asahi Fujita; Yuji Inoue; Shun Ogawa; Ryo Asaoka; Ryo Obata
Journal:  Transl Vis Sci Technol       Date:  2019-02-11       Impact factor: 3.283

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.