Literature DB >> 26795824

Diagnostic Accuracy of Glaucoma With Sector-Based and a New Total Profile-Based Analysis of Neuroretinal Rim and Retinal Nerve Fiber Layer Thickness.

Vishva M Danthurebandara, Jayme R Vianna, Glen P Sharpe, Donna M Hutchison, Anne C Belliveau, Lesya M Shuba, Marcelo T Nicolela, Balwantray C Chauhan.   

Abstract

PURPOSE: To compare the diagnostic accuracy of conventional sector-based analysis with a method devised to detect the smallest localized neuroretinal rim and retinal nerve fiber layer thickness (RNFLT) damage.
METHODS: One eye of 151 glaucoma patients and 83 healthy controls (median age and MD, 71.7 and 66.7 years, and -3.6 and -0.3 dB, respectively) was imaged with spectral-domain optical coherence tomography (OCT). Bruch's membrane opening-minimum rim width (BMO-MRW) and RNFLT were determined at 1° intervals and also averaged for each sector. A classification of glaucoma was made with sectoral analysis when the sectoral value was below the 1%, 5%, or 10% normative limit (from an independent normative dataset); and with total analysis when a given number of measurements was below the 1%, 5%, or 10% normative limit.
RESULTS: With the 1% normative limit, BMO-MRW sectoral analysis yielded sensitivity of 87% and specificity of 92%; while at the same specificity (92%), total analysis yielded sensitivity of 88%. With RNFLT, sectoral analysis yielded sensitivity of 85% and specificity of 95%; while at the same specificity (95%), total analysis yielded sensitivity of 83%. The results for the 5% and 10% normative limits yielded lower specificity but higher sensitivity. In the whole glaucoma population, none of the sensitivity values of the sectoral and total analysis at the same specificities were statistically different.
CONCLUSIONS: The diagnostic accuracy of sectoral analysis was equivalent to total analysis. These results indicate that BMO-MRW and RNFLT defects were wide and deep enough for detection by conventional sectoral analysis.

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Year:  2016        PMID: 26795824     DOI: 10.1167/iovs.15-17820

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


  10 in total

1.  The effects of graded intraocular pressure challenge on the optic nerve head.

Authors:  Nimesh Patel; Faith McAllister; Laura Pardon; Ronald Harwerth
Journal:  Exp Eye Res       Date:  2018-02-01       Impact factor: 3.467

2.  Three dimensional neuro-retinal rim thickness and retinal nerve fiber layer thickness using high-definition optical coherence tomography for open-angle glaucoma.

Authors:  Suresh Subramaniam; Jin Wook Jeoung; Won June Lee; Young Kook Kim; Ki Ho Park
Journal:  Jpn J Ophthalmol       Date:  2018-09-18       Impact factor: 2.447

3.  A Comparison of OCT Parameters in Identifying Glaucoma Damage in Eyes Suspected of Having Glaucoma.

Authors:  Brian C Stagg; Felipe A Medeiros
Journal:  Ophthalmol Glaucoma       Date:  2019-11-27

4.  [Bruch's membrane opening minimum rim width : Correlation and diagnostic accuracy in comparison to peripapillary retinal nerve fiber layer thickness].

Authors:  M Awe; S Khalili-Amiri; I R Volkmann; B Junker; C Framme; K Hufendiek
Journal:  Ophthalmologe       Date:  2019-01       Impact factor: 1.059

5.  Clinical-Evolutionary Staging System of Primary Open-Angle Glaucoma Using Optical Coherence Tomography.

Authors:  Alfonso Parra-Blesa; Alfredo Sanchez-Alberca; Jose Javier Garcia-Medina
Journal:  J Clin Med       Date:  2020-05-19       Impact factor: 4.241

6.  A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs.

Authors:  Atalie C Thompson; Alessandro A Jammal; Felipe A Medeiros
Journal:  Am J Ophthalmol       Date:  2019-01-26       Impact factor: 5.258

7.  Optical Coherence Tomography Structural Abnormality Detection in Glaucoma Using Topographically Correspondent Rim and Retinal Nerve Fiber Layer Criteria.

Authors:  Hongli Yang; Haomin Luo; Christy Hardin; Yaxing Wang; Jin Wook Jeoung; Cindy Albert; Jayme R Vianna; Glen P Sharpe; Juan Reynaud; Shaban Demirel; Steven L Mansberger; Brad Fortune; Marcelo Nicolela; Stuart K Gardiner; Balwantray C Chauhan; Claude F Burgoyne
Journal:  Am J Ophthalmol       Date:  2019-12-30       Impact factor: 5.258

8.  Comprehensive Three-Dimensional Analysis of the Neuroretinal Rim in Glaucoma Using High-Density Spectral-Domain Optical Coherence Tomography Volume Scans.

Authors:  Edem Tsikata; Ramon Lee; Eric Shieh; Huseyin Simavli; Christian J Que; Rong Guo; Ziad Khoueir; Johannes de Boer; Teresa C Chen
Journal:  Invest Ophthalmol Vis Sci       Date:  2016-10-01       Impact factor: 4.799

9.  A Case for the Use of Artificial Intelligence in Glaucoma Assessment.

Authors:  Joel S Schuman; Maria De Los Angeles Ramos Cadena; Rebecca McGee; Lama A Al-Aswad; Felipe A Medeiros
Journal:  Ophthalmol Glaucoma       Date:  2021-12-22

10.  Diagnostic criteria for detection of retinal nerve fibre layer thickness and neuroretinal rim width abnormalities in glaucoma.

Authors:  Feihui Zheng; Marco Yu; Christopher Kai-Shun Leung
Journal:  Br J Ophthalmol       Date:  2019-05-30       Impact factor: 4.638

  10 in total

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