Literature DB >> 24812554

Parallelism for quantitative image analysis of photoreceptor-retinal pigment epithelium complex alterations in diabetic macular edema.

Akihito Uji1, Tomoaki Murakami1, Noriyuki Unoki1, Ken Ogino1, Takahiro Horii1, Shin Yoshitake1, Yoko Dodo1, Nagahisa Yoshimura1.   

Abstract

PURPOSE: To propose a new method to quantitatively and comprehensively evaluate photoreceptor-RPE complex alterations on spectral-domain optical coherence tomography (SD-OCT) imaging in eyes with diabetic macular edema (DME).
METHODS: Spectral-domain OCT images from a consecutive series of 90 eyes in 79 patients with DME and 30 healthy eyes in 30 volunteers were analyzed retrospectively. The subfoveal area covering the photoreceptor layers was skeletonized and the orientation of the segmented lines was termed "parallelism," which reflects image complexity. Photoreceptor layer status at the fovea was categorized by graders, including continuity of the external limiting membrane (ELM) line, inner segment ellipsoid line, and the presence of hyperreflective foci in the outer retinal layers. The relationships among parallelism, visual acuity, and photoreceptor layer status were evaluated.
RESULTS: Parallelism was significantly lower in eyes with DME than in normal eyes (P < 0.0001), and correlated strongly with visual acuity in eyes with DME (R = -0.592; P < 0.0001). Eyes with an intact inner segment ellipsoid line or ELM line had significantly better visual acuity (VA) and higher parallelism than eyes with a discontinuous or absent inner segment ellipsoid line or ELM line. Parallelism was significantly higher (P < 0.0001) and logMAR VA significantly better (P < 0.0001) in the group without hyperreflective foci in the outer retinal layers than in the group with hyperreflective foci in the outer retinal layers.
CONCLUSIONS: Parallelism has the potential to reflect structural changes of the photoreceptor layers in DME. Copyright 2014 The Association for Research in Vision and Ophthalmology, Inc.

Entities:  

Keywords:  diabetic macular edema; image analysis; optical coherence tomography

Mesh:

Year:  2014        PMID: 24812554     DOI: 10.1167/iovs.14-13948

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  13 in total

1.  RefMoB, a Reflectivity Feature Model-Based Automated Method for Measuring Four Outer Retinal Hyperreflective Bands in Optical Coherence Tomography.

Authors:  Douglas H Ross; Mark E Clark; Pooja Godara; Carrie Huisingh; Gerald McGwin; Cynthia Owsley; Katie M Litts; Richard F Spaide; Kenneth R Sloan; Christine A Curcio
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-07       Impact factor: 4.799

2.  Automated detection of photoreceptor disruption in mild diabetic retinopathy on volumetric optical coherence tomography.

Authors:  Zhuo Wang; Acner Camino; Miao Zhang; Jie Wang; Thomas S Hwang; David J Wilson; David Huang; Dengwang Li; Yali Jia
Journal:  Biomed Opt Express       Date:  2017-11-07       Impact factor: 3.732

3.  Optical Coherence Tomography Biomarkers of the Outer Blood-Retina Barrier in Patients with Diabetic Macular Oedema.

Authors:  Ioana Damian; Simona Delia Nicoara
Journal:  J Diabetes Res       Date:  2020-10-13       Impact factor: 4.011

4.  [Does OCT morphology provide indications for prognosis of visual acuity after venous occlusion? : SD-OCT analysis in retinal vein occlusion before and after resolution of initial macular edema].

Authors:  K Schröder; P Ackermann; M Brachert; S Bairov; G Geerling; R Guthoff
Journal:  Ophthalmologe       Date:  2016-06       Impact factor: 1.059

5.  Potential measurement errors due to image enlargement in optical coherence tomography imaging.

Authors:  Akihito Uji; Tomoaki Murakami; Yuki Muraoka; Yoshikatsu Hosoda; Shin Yoshitake; Yoko Dodo; Shigeta Arichika; Nagahisa Yoshimura
Journal:  PLoS One       Date:  2015-05-29       Impact factor: 3.240

Review 6.  Optical coherence tomography: A guide to interpretation of common macular diseases.

Authors:  Muna Bhende; Sharan Shetty; Mohana Kuppuswamy Parthasarathy; S Ramya
Journal:  Indian J Ophthalmol       Date:  2018-01       Impact factor: 1.848

Review 7.  The potential of spectral domain optical coherence tomography imaging based retinal biomarkers.

Authors:  Prateep Phadikar; Sandeep Saxena; Surabhi Ruia; Timothy Y Y Lai; Carsten H Meyer; Dean Eliott
Journal:  Int J Retina Vitreous       Date:  2017-01-09

8.  Association between retinal hemorrhagic pattern and macular perfusion status in eyes with acute branch retinal vein occlusion.

Authors:  Yuki Muraoka; Akihito Uji; Akitaka Tsujikawa; Tomoaki Murakami; Sotaro Ooto; Kiyoshi Suzuma; Ayako Takahashi; Yuto Iida; Yuko Miwa; Masayuki Hata; Nagahisa Yoshimura
Journal:  Sci Rep       Date:  2016-06-23       Impact factor: 4.379

9.  Alterations of Retinal Pigment Epithelium-Photoreceptor Complex in Patients with Type 2 Diabetes Mellitus without Diabetic Retinopathy: A Cross-Sectional Study.

Authors:  Zheren Xia; Hao Chen; Suilian Zheng
Journal:  J Diabetes Res       Date:  2020-03-06       Impact factor: 4.011

10.  A Novel Approach to Quantitative Evaluation of Outer Retinal Lesions Via a New Parameter "Integral" in Spectral Domain Optical Coherence Tomography.

Authors:  Junxiang Gu; Tingting Jiang; Mingrong Yu; Jian Yu; Wenting Li; Shixue Liu; Peijun Zhang; Wenwen Chen; Qing Chang
Journal:  Transl Vis Sci Technol       Date:  2020-11-02       Impact factor: 3.283

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