Literature DB >> 30338652

Macular versus nerve fibre layer versus optic nerve head imaging for diagnosing glaucoma at different stages of the disease: Multicenter Italian Glaucoma Imaging Study.

Manuele Michelessi1, Ivano Riva1, Enrico Martini2, Michele Figus3, Paolo Frezzotti4, Luca Agnifili5, Gianluca Manni1,6, Luciano Quaranta7, Stefano Miglior8, Chiara Posarelli3, Stefano Fazio4, Francesco Oddone1.   

Abstract

PURPOSE: To compare the diagnostic accuracy of minimum rim width (MRW), peripapillary retinal nerve fibre layer (pRNFL) and multilayered macular analysis by Spectralis SD-OCT (Heidelberg Engineering, Germany) in discriminating perimetric glaucoma at different stages of the disease from healthy eyes.
METHODS: In this multicentre, prospective, evaluation of diagnostic tests study, multilayered macular analysis and MRW and pRNFL were obtained from one eye of 197 glaucoma (76 early, 68 moderate and 53 advanced) and of 83 healthy controls from the Multicenter Italian Glaucoma Imaging Study (MIGIS). The reference standard for classifying eyes as glaucomatous and for staging the disease was the visual field. The main outcome measures were area under the ROC curve (AUC) and sensitivity at fixed specificity (95%).
RESULTS: Average MRW and average pRNFL showed the highest and similar diagnostic accuracy in both the whole study population (AUC 0.968 and 0.939) and early glaucoma (AUC 0.956 and 0.929). Among the macular parameters, the three innermost retinal layers combined as the Ganglion Cell Complex provided the highest diagnostic accuracy (AUC 0.931) in the whole population, which was statistically similar to that of average pRNFL but inferior to that of average MRW. Compared to both average MRW and pRNFL, all macular parameters showed statistically significant lower accuracy in early glaucoma, but accuracy in moderate and advanced glaucoma showed no statistically significant differences among three protocols.
CONCLUSION: The diagnostic accuracy of MRW, pRNFL and macular analysis by Spectralis SD-OCT is overall good. MRW and pRNFL analysis performs statistically and clinically better than macular analysis to discriminate early glaucoma from healthy eyes.
© 2018 Acta Ophthalmologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  diagnostic accuracy; glaucoma; macular analysis; minimum rim width; optical coherence tomography

Mesh:

Year:  2018        PMID: 30338652     DOI: 10.1111/aos.13930

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


  9 in total

Review 1.  Macular imaging with optical coherence tomography in glaucoma.

Authors:  Vahid Mohammadzadeh; Nima Fatehi; Adeleh Yarmohammadi; Ji Woong Lee; Farideh Sharifipour; Ramin Daneshvar; Joseph Caprioli; Kouros Nouri-Mahdavi
Journal:  Surv Ophthalmol       Date:  2020-03-19       Impact factor: 6.048

2.  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

3.  Glaucomatous Maculopathy: Thickness Differences on Inner and Outer Macular Layers between Ocular Hypertension and Early Primary Open-Angle Glaucoma Using 8 × 8 Posterior Pole Algorithm of SD-OCT.

Authors:  Jose Javier Garcia-Medina; Monica Del-Rio-Vellosillo; Ana Palazon-Cabanes; Maria Dolores Pinazo-Duran; Vicente Zanon-Moreno; Maria Paz Villegas-Perez
Journal:  J Clin Med       Date:  2020-05-16       Impact factor: 4.241

4.  Structural evaluation of preperimetric and perimetric glaucoma.

Authors:  Gunjan Deshpande; Richa Gupta; Prashant Bawankule; Dhananjay Raje; Moumita Chakarborty
Journal:  Indian J Ophthalmol       Date:  2019-11       Impact factor: 1.848

5.  Combining Structural and Vascular Parameters to Discriminate Among Glaucoma Patients, Glaucoma Suspects, and Healthy Subjects.

Authors:  Alessandro Rabiolo; Federico Fantaguzzi; Riccardo Sacconi; Francesco Gelormini; Enrico Borrelli; Giacinto Triolo; Paolo Bettin; Andrew I McNaught; Joseph Caprioli; Giuseppe Querques; Francesco Bandello
Journal:  Transl Vis Sci Technol       Date:  2021-12-01       Impact factor: 3.283

6.  Assessment of Ganglion Cell Complex and Peripapillary Retinal Nerve Fiber Layer Changes following Cataract Surgery in Patients with Pseudoexfoliation Glaucoma.

Authors:  Ahmed A Abdelghany; Moataz A Sallam; Abdallah A Ellabban
Journal:  J Ophthalmol       Date:  2019-09-08       Impact factor: 1.909

7.  Clinical Predictors of the Region of First Structural Progression in Early Normal-tension Glaucoma.

Authors:  Jihei Sara Lee; Kwanghyun Lee; Gong Je Seong; Chan Yun Kim; Sang Yeop Lee; Hyoung Won Bae
Journal:  Korean J Ophthalmol       Date:  2020-08

8.  Comparison of Rates of Progression of Macular OCT Measures in Glaucoma.

Authors:  Alessandro Rabiolo; Vahid Mohammadzadeh; Nima Fatehi; Esteban Morales; Anne L Coleman; Simon K Law; Joseph Caprioli; Kouros Nouri-Mahdavi
Journal:  Transl Vis Sci Technol       Date:  2020-06-30       Impact factor: 3.283

9.  Correlation Between Retrograde Trans-Synaptic Degeneration of Ganglion Cells and Optical Coherence Tomography Angiography Following Ischemic Stroke.

Authors:  Mercedes Molero-Senosiain; Beatriz Vidal-Villegas; Javier Pascual-Prieto; Clara Valor-Suarez; Federico Saenz-Frances; Enrique Santos-Bueso
Journal:  Cureus       Date:  2021-11-21
  9 in total

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