Literature DB >> 21514958

Detection of localized retinal nerve fiber layer defects in glaucoma using enhanced spectral-domain optical coherence tomography.

Masayuki Nukada1, Masanori Hangai, Satoshi Mori, Noriko Nakano, Hideo Nakanishi, Hanako Ohashi-Ikeda, Atsushi Nonaka, Nagahisa Yoshimura.   

Abstract

OBJECTIVE: To compare retinal nerve fiber layer (RNFL) defects on fundus photographs with circumpapillary RNFL (cpRNFL) thinning or disruption on images obtained by speckle-noise-reduced spectral-domain optical coherence tomography (enhanced SD OCT), single-scan SD OCT, and single-scan time-domain OCT (TD OCT).
DESIGN: Retrospective, comparative case series. PARTICIPANTS: Forty-four eyes of 44 patients with open-angle glaucoma with localized, wedge-shaped RNFL defects on red-free photographs and 35 normal eyes of 35 volunteers.
METHODS: Cross-sectional images of the cpRNFL and cpRNFL thinning, compared with the confidence interval limit of the normative database where the RNFL defect was photographically identified, were compared between the 3 types of OCT instruments: enhanced SD OCT (SD OCT with eye tracking and averaging of 16 images at the same location to reduce speckle noise; Spectralis HRA+OCT; Heidelberg Engineering, Heidelberg, Germany), single-scan SD OCT (RTVue-100; Optovue, Fremont, CA), and single-scan TD OCT (Stratus; Carl Zeiss-Meditec, Dublin, CA). MAIN OUTCOME MEASURES: Cross-sectional images of localized RNFL defects on red-free fundus photographs, sensitivity for detecting the photographic RNFL defect, and sensitivity and specificity for detecting glaucoma as having at least 1 abnormally thinned sector on the cpRNFL thickness map on OCT.
RESULTS: Among the 44 eyes with glaucoma, 65 RNFL defects were identified on red-free fundus photographs. The cpRNFL boundaries were clearer on enhanced SD OCT images than on single-scan SD OCT or TD OCT images, particularly in regions corresponding to the RNFL defects. Enhanced SD OCT revealed various degrees of cpRNFL thinning, and disruption of cpRNFL reflectivity was seen in the same location as the photographic RNFL defect for 23 (35.4%) of the 65 RNFL defects. The RNFL defects were significantly less likely to be detected by single-scan TD OCT or SD OCT (P = 0.002 and P = 0.006, respectively) when the RNFL was not disrupted. Enhanced SD OCT was more sensitive in detecting the RNFL defects that were not disrupted compared with single-scan TD OCT (P<0.0001) or SD OCT (P<0.0001). Enhanced SD OCT had better sensitivity and specificity for detecting glaucoma compared with single-scan TD OCT or SD OCT (sensitivity, P = 0.006 and P = 0.001; specificity, P = 0.001 and P = 0.004, respectively).
CONCLUSIONS: These results suggest that speckle-noise reduction can improve the detection of photographic RNFL defects in which cpRNFL reflectivity on OCT images is not disrupted. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.
Copyright © 2011 American Academy of Ophthalmology. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21514958     DOI: 10.1016/j.ophtha.2010.10.025

Source DB:  PubMed          Journal:  Ophthalmology        ISSN: 0161-6420            Impact factor:   12.079


  20 in total

1.  Diagnostic capability of peripapillary retinal nerve fiber layer parameters in time-domain versus spectral-domain optical coherence tomography for assessing glaucoma in high myopia.

Authors:  Mei-Ching Teng; Yi-Chieh Poon; Kuo-Chi Hung; Hsueh-Wen Chang; Ing-Chou Lai; Jen-Chia Tsai; Pei-Wen Lin; Chien-Yun Wu; Chueh-Tan Chen; Pei-Chang Wu
Journal:  Int J Ophthalmol       Date:  2017-07-18       Impact factor: 1.779

Review 2.  Parameters of ocular fundus on spectral-domain optical coherence tomography for glaucoma diagnosis.

Authors:  Yu-Lin Tao; Li-Ming Tao; Zheng-Xuan Jiang; He-Ting Liu; Kun Liang; Mo-Han Li; Xuan-Sheng Zhu; Yan-Lin Ren; Bing-Jie Cui
Journal:  Int J Ophthalmol       Date:  2017-06-18       Impact factor: 1.779

Review 3.  Test-retest variability in structural parameters measured with glaucoma imaging devices.

Authors:  Makoto Araie
Journal:  Jpn J Ophthalmol       Date:  2012-11-09       Impact factor: 2.447

4.  Wavelength-dependent change of retinal nerve fiber layer reflectance in glaucomatous retinas.

Authors:  Xiang-Run Huang; Ye Zhou; Robert W Knighton; Wei Kong; William J Feuer
Journal:  Invest Ophthalmol Vis Sci       Date:  2012-08-24       Impact factor: 4.799

5.  Paravascular inner retinal abnormalities in healthy eyes.

Authors:  Rie Osaka; Saki Manabe; Yukiko Miyoshi; Yuki Nakano; Ayana Yamashita; Chieko Shiragami; Kazuyuki Hirooka; Yuki Muraoka; Akitaka Tsujikawa
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2017-07-02       Impact factor: 3.117

6.  Comparison of Spectralis-OCT, GDxVCC and GDxECC in assessing retinal nerve fiber layer (RNFL) in glaucomatous patients.

Authors:  Maurice Schallenberg; Dirk Dekowski; Stephan Kremmer; J Michael Selbach; Klaus-Peter Steuhl
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2012-12-19       Impact factor: 3.117

7.  Optic nerve head slope-based quantitative parameters for identifying open-angle glaucoma on SPECTRALIS OCT images.

Authors:  Abdel-Razzak M Al-Hinnawi; Bassam O Al-Naami; Motasem M Al-Latayfeh
Journal:  Int Ophthalmol       Date:  2016-09-28       Impact factor: 2.031

8.  Glaucoma Diagnosis and Monitoring Using Advanced Imaging Technologies.

Authors:  Mitra Sehi; Shawn M Iverson
Journal:  US Ophthalmic Rev       Date:  2013

9.  Predictive Values of Optical Coherence Tomography (OCT) Parameters in Assessment of Glaucoma progression.

Authors:  Sanja Sefic Kasumovic; Aida Kasumovic; Suzana Pavljasevic; Emir Cabric; Milka Mavija; Irena Sesar; Sabina Dacić- Lepara; Mirko Jankov
Journal:  Acta Inform Med       Date:  2014-08-21

10.  Localized retinal nerve fiber layer defects detected by optical coherence tomography: the Beijing eye study.

Authors:  Liang Zhao; Ya Xing Wang; Wei Zhang; Jing Shang Zhang; Chang Xi Chen; Liang Xu; Jost B Jonas
Journal:  PLoS One       Date:  2013-07-22       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.