Literature DB >> 28724636

Predictive imaging biomarkers relevant for functional and anatomical outcomes during ranibizumab therapy of diabetic macular oedema.

Bianca S Gerendas1,2, Sonja Prager1, Gabor Deak1, Christian Simader1, Jan Lammer1, Sebastian M Waldstein1,2, Tadhg Guerin3, Michael Kundi4, Ursula Margarethe Schmidt-Erfurth1,2.   

Abstract

BACKGROUND/AIMS: The objective is to identify imaging biomarkers in optical coherence tomography predicting functional/anatomical outcomes in diabetic macular oedema (DMO).
METHODS: The presented study is a post hoc analysis of the RESTORE/RESTORE-extension studies. Best-corrected visual acuity (BCVA) was analysed using general estimating equation models using treatment group/morphological features as predictor variables. In addition, linear multiple regression models analysed BCVA gain up to 12 and 36 months with BCVA/morphological baseline characteristics as independent predictor variables. The correlations between central retinal thickness (CRT)/BCVA were calculated as Spearman's/Pearson's correlation coefficients.
RESULTS: A weak negative linear correlation between CRT/BCVA was observed in all study arms at baseline (r=-0.34, p<0.001) and at month 36 (r=-0.26, p<0.001). Patients with baseline height of intraretinal cystoid fluid (IRC) ≤380 µm had better baseline BCVA compared with patients with IRC height >380 µm (64.84±10.63 vs 61.66±9.92 letters; p=0.0071, respectively), which was maintained until the end of month 12 (70.5±12.33 vs 67.0±14.09 letters; p=0.0252, respectively). With laser, there was a trend for patients with subretinal fluid (SRF) at baseline to lose BCVA letters at month 12 (-5.38±16.54 vs 2.49±9.72 letters; p=0.1038), whereas ranibizumab patients trended towards higher BCVA gains (10.28±7.14 vs 6.76±7.67; p=0.0563), compared with those without SRF. With combined therapy, all patients had similar BCVA gains regardless of SRF (p=0.3768).
CONCLUSION: With ranibizumab treatment, the height of IRC spaces at baseline was a better predictor of functional/anatomical improvement than CRT alone. There was also a trend for SRF to show a positive impact on ranibizumab therapy response and a negative impact on laser therapy response. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2018. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  clinical trial; imaging; macula; retina

Mesh:

Substances:

Year:  2017        PMID: 28724636     DOI: 10.1136/bjophthalmol-2017-310483

Source DB:  PubMed          Journal:  Br J Ophthalmol        ISSN: 0007-1161            Impact factor:   4.638


  23 in total

1.  Quantification of Fluid Resolution and Visual Acuity Gain in Patients With Diabetic Macular Edema Using Deep Learning: A Post Hoc Analysis of a Randomized Clinical Trial.

Authors:  Philipp K Roberts; Wolf-Dieter Vogl; Bianca S Gerendas; Adam R Glassman; Hrvoje Bogunovic; Lee M Jampol; Ursula M Schmidt-Erfurth
Journal:  JAMA Ophthalmol       Date:  2020-09-01       Impact factor: 7.389

2.  Spectral-Domain Optical Coherence Tomography-Driven Treat-and-Extend and Pro Re Nata Regimen in Patients with Macular Oedema due to Retinal Vein Occlusion: 24-Month Evaluation and Outcome Predictors.

Authors:  Maria-Magdalena Guichard; Anton R Xavier; Cengiz Türksever; Christian Pruente; Katja Hatz
Journal:  Ophthalmic Res       Date:  2018-03-22       Impact factor: 2.892

3.  Volume-based, layer-independent, disease-agnostic detection of abnormal retinal reflectivity, nonperfusion, and neovascularization using structural and angiographic OCT.

Authors:  Shaohua Pi; Tristan T Hormel; Bingjie Wang; Steven T Bailey; Thomas S Hwang; David Huang; John C Morrison; Yali Jia
Journal:  Biomed Opt Express       Date:  2022-08-22       Impact factor: 3.562

4.  OCT-Based Biomarkers are Associated with Systemic Inflammation in Patients with Treatment-Naïve Diabetic Macular Edema.

Authors:  Jingxin Zhou; Siyuan Song; Yi Zhang; Kai Jin; Juan Ye
Journal:  Ophthalmol Ther       Date:  2022-09-27

5.  Outcome Predictors of SD-OCT-Driven Intravitreal Ranibizumab in Choroidal Neovascularization due to Myopia.

Authors:  Maria-Magdalena Guichard; Géraldine Peters; Cengiz Tuerksever; Christian Pruente; Katja Hatz
Journal:  Ophthalmologica       Date:  2019-08-06       Impact factor: 3.250

6.  Predictors for 2-Year Functional and Morphological Outcomes of a Treat-and-Extend Regimen with Ranibizumab in Patients with Diabetic Macular Edema.

Authors:  Helena Giannakaki-Zimmermann; Alexandra Behrndt; Laura Hoffmann; Maria-Magdalena Guichard; Cengiz Türksever; Christian Prünte; Katja Hatz
Journal:  Ophthalmic Res       Date:  2021-01-26       Impact factor: 2.892

7.  Characteristics of diabetic macular edema on optical coherence tomography may change over time or after treatment.

Authors:  Shwu-Jiuan Sheu; Ying-Yen Lee; Yu-Harn Horng; Huey-Shyan Lin; Wei-Yu Lai; Chui-Lien Tsen
Journal:  Clin Ophthalmol       Date:  2018-09-26

Review 8.  Dexamethasone implant in the management of diabetic macular edema from clinician's perspective.

Authors:  Mojca Urbančič; Ivana Gardašević Topčić
Journal:  Clin Ophthalmol       Date:  2019-05-13

9.  Exploring the angiographic-biologic phenotype in the IMAGINE study: quantitative UWFA and cytokine expression.

Authors:  Joseph R Abraham; Charles C Wykoff; Sruthi Arepalli; Leina Lunasco; Hannah J Yu; Alison Martin; Christopher Mugnaini; Ming Hu; Jamie Reese; Sunil K Srivastava; David M Brown; Justis P Ehlers
Journal:  Br J Ophthalmol       Date:  2021-06-07       Impact factor: 5.908

10.  The Area and Number of Intraretinal Cystoid Spaces Predict the Visual Outcome after Ranibizumab Monotherapy in Diabetic Macular Edema.

Authors:  Norihiro Nagai; Misa Suzuki; Atsuro Uchida; Toshihide Kurihara; Norimitsu Ban; Sakiko Minami; Hajime Shinoda; Kazuo Tsubota; Yoko Ozawa
Journal:  J Clin Med       Date:  2020-05-08       Impact factor: 4.241

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