Literature DB >> 23059486

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

Masayuki Nukada1, Masanori Hangai, Satoshi Mori, Kohei Takayama, Noriko Nakano, Satoshi Morooka, Hanako O Ikeda, Tadamichi Akagi, Atsushi Nonaka, Nagahisa Yoshimura.   

Abstract

PURPOSE: To characterize preperimetric retinal nerve fiber layer (RNFL) defects on speckle noise-reduced spectral-domain optical coherence tomography (SD-OCT), and to determine whether detection of preperimetric RNFL defects can be improved by speckle noise reduction. PATIENTS AND METHODS: Thirty-two eyes of 32 patients with preperimetric glaucoma and 30 normal eyes of 30 volunteers underwent complete ophthalmic examinations and scanning by speckle noise-reduced SD-OCT (Spectralis), single-scan SD-OCT (RTVue-100), and single-scan time-domain (Stratus) OCT.
RESULTS: All 40 RNFL defects identified by photography had angular widths <30 degrees and no disruption of RNFL reflectivity on Spectralis. Circumpapillary RNFL (cpRNFL) boundaries were accurately determined by Spectralis for 38 (95.0%) of the 40 defects, by RTVue-100 for 25 (62.5%), and by Stratus OCT for 23 (57.5%). Sensitivity for the detection of RNFL defects (cpRNFL thinning to <1% of normal for an age-matched database) was 15% for Stratus, 42.5% for RTVue, and 47.5% for Spectralis on sector maps and significantly higher for SD-OCT on temporal-superior-nasal-inferior-temporal (TSNIT) thickness graphs: RTVue-100 (57.5%; P=0.031) and Spectralis (90.0%; P=0.0001). On the basis of TSNIT thickness graphs, sensitivity for the detection of RNFL defects was significantly higher for Spectralis compared with RTVue-100 (P=0.001) and Stratus (P=0.0005). Spectralis TSNIT graphs were more sensitive (P=0.001) for glaucoma detection without significant reduction (P=0.125) in specificity compared with Spectralis sector maps.
CONCLUSIONS: Our results suggest that accurate measurement of cpRNFL thickness by speckle noise-reduced SD-OCT and a comparison of the results with normative database using TSNIT graphs are required to improve the sensitivity for detecting preperimetric RNFL defects.

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Year:  2014        PMID: 23059486     DOI: 10.1097/IJG.0b013e3182707456

Source DB:  PubMed          Journal:  J Glaucoma        ISSN: 1057-0829            Impact factor:   2.503


  6 in total

1.  Retinal nerve fibre layer thickness values and their associations with ocular and systemic parameters in Black South Africans.

Authors:  Khathutshelo P Mashige; Olalekan A Oduntan
Journal:  Afr Health Sci       Date:  2016-12       Impact factor: 0.927

2.  Macular ganglion cell/inner plexiform layer measurements by spectral domain optical coherence tomography for detection of early glaucoma and comparison to retinal nerve fiber layer measurements.

Authors:  Kouros Nouri-Mahdavi; Sara Nowroozizadeh; Nariman Nassiri; Nila Cirineo; Shane Knipping; Joann Giaconi; Joseph Caprioli
Journal:  Am J Ophthalmol       Date:  2013-09-25       Impact factor: 5.258

3.  Late-onset Ocular Toxicity Presenting as Uveitis Caused by Crizotinib.

Authors:  Megumi Iseki; Toshikatsu Kaburaki; Makoto Aihara; Hiromasa Sawamura
Journal:  Neuroophthalmology       Date:  2021-05-06

4.  Optical coherence tomography, scanning laser polarimetry and confocal scanning laser ophthalmoscopy in retinal nerve fiber layer measurements of glaucoma patients.

Authors:  Farsad Fanihagh; Stephan Kremmer; Gerasimos Anastassiou; Maurice Schallenberg
Journal:  Open Ophthalmol J       Date:  2015-03-31

5.  Peripapillary retinal nerve fiber layer assessment of spectral domain optical coherence tomography and scanning laser polarimetry to diagnose preperimetric glaucoma.

Authors:  Harsha L Rao; Ravi K Yadav; Uday K Addepalli; Shashikant Chaudhary; Sirisha Senthil; Nikhil S Choudhari; Chandra S Garudadri
Journal:  PLoS One       Date:  2014-10-03       Impact factor: 3.240

6.  Factors affecting the ability of the spectral domain optical coherence tomograph to detect photographic retinal nerve fiber layer defects.

Authors:  Harsha L Rao; Uday K Addepalli; Ravi K Yadav; Nikhil S Choudhari; Sirisha Senthil; Chandra S Garudadri
Journal:  PLoS One       Date:  2014-12-23       Impact factor: 3.240

  6 in total

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