Literature DB >> 24925100

Fine structure in diabetic retinopathy lesions as observed by adaptive optics imaging. A qualitative study.

Toke Bek1.   

Abstract

PURPOSE: Diabetic retinopathy is diagnosed by fundus photography and optical coherence tomography (OCT) scanning. However, adaptive optics (AO) imaging can be expected to add new aspects to the knowledge of diabetic retinopathy because photographic resolution is improved by reducing the influence of optical aberrations on retinal imaging.
METHODS: Nineteen patients with diabetes mellitus were subjected to fundus photography, OCT scanning and AO imaging. The fundus photographs were scaled to the same magnification as that of the AO image, and qualitative aspects of AO images of each retinopathy lesion observed on fundus photographs and OCT scans were assessed.
RESULTS: All red lesions on fundus photographs appeared on AO images as dark hyporeflective elements, but it could not be verified whether lesions represented haemorrhages or microaneurysms. The smallest of these lesions were circular with a size corresponding to that of blood cells. Hard exudates had irregular surfaces with buddings of various sizes protruding from the lesions. Areas of retinal oedema observed by fundus imaging and OCT scanning resulted in blurring of AO images, but cystoid spaces observed by OCT could be seen on AO images to have a sharp delimitation with a darker hyporeflective rim at the internal lining of the cyst wall.
CONCLUSION: AO imaging may potentially assist in detecting diabetic retinopathy at an earlier stage, may help elucidating the pathophysiology of the diseases and may be used for evaluating the effects of clinical interventions on diabetic retinopathy and other retinal vascular diseases.
© 2014 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  adaptive optics imaging; diabetic retinopathy; haemorrhages; hard exudates; leucocytes

Mesh:

Substances:

Year:  2014        PMID: 24925100     DOI: 10.1111/aos.12464

Source DB:  PubMed          Journal:  Acta Ophthalmol        ISSN: 1755-375X            Impact factor:   3.761


  8 in total

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Authors:  Toke Bek
Journal:  Curr Diab Rep       Date:  2017-08-08       Impact factor: 4.810

2.  Adaptive optics for high-resolution imaging.

Authors:  Karen M Hampson; Raphaël Turcotte; Donald T Miller; Kazuhiro Kurokawa; Jared R Males; Na Ji; Martin J Booth
Journal:  Nat Rev Methods Primers       Date:  2021-10-14

Review 3.  Retinal Imaging Techniques for Diabetic Retinopathy Screening.

Authors:  James Kang Hao Goh; Carol Y Cheung; Shaun Sebastian Sim; Pok Chien Tan; Gavin Siew Wei Tan; Tien Yin Wong
Journal:  J Diabetes Sci Technol       Date:  2016-02-01

4.  High-Resolution Imaging by Adaptive Optics Scanning Laser Ophthalmoscopy Reveals Two Morphologically Distinct Types of Retinal Hard Exudates.

Authors:  Muneo Yamaguchi; Shintaro Nakao; Yoshihiro Kaizu; Yoshiyuki Kobayashi; Takahito Nakama; Mitsuru Arima; Shigeo Yoshida; Yuji Oshima; Atsunobu Takeda; Yasuhiro Ikeda; Shizuo Mukai; Tatsuro Ishibashi; Koh-Hei Sonoda
Journal:  Sci Rep       Date:  2016-09-19       Impact factor: 4.379

Review 5.  The unmet need for better risk stratification of non-proliferative diabetic retinopathy.

Authors:  S Sivaprasad; E Pearce
Journal:  Diabet Med       Date:  2018-12-07       Impact factor: 4.359

6.  High-resolution imaging of diabetic retinopathy lesions using an adaptive optics retinal camera.

Authors:  Irina-Elena Cristescu; Radu Ochinciuc; Florian Balta; Leon Zagrean
Journal:  Rom J Ophthalmol       Date:  2019 Jan-Mar

Review 7.  Current status and future possibilities of retinal imaging in diabetic retinopathy care applicable to low- and medium-income countries.

Authors:  Yamini Attiku; Ye He; Muneeswar Gupta Nittala; SriniVas R Sadda
Journal:  Indian J Ophthalmol       Date:  2021-11       Impact factor: 1.848

Review 8.  Neuroprotection as a Therapeutic Target for Diabetic Retinopathy.

Authors:  Cristina Hernández; Massimo Dal Monte; Rafael Simó; Giovanni Casini
Journal:  J Diabetes Res       Date:  2016-03-31       Impact factor: 4.011

  8 in total

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