Literature DB >> 33550508

A proof of concept study to evaluate the treatment response of aflibercept in wARMD using OCT-A (Canada study).

Simrat K Sodhi1, Carmelina Trimboli2, Sivaruben Kalaichandran3, Austin Pereira4, Netan Choudhry5,6.   

Abstract

PURPOSE: To Utilize OCT-A to measure the change in size (mm2) and density (flow index) of choroidal neovascular membranes (CNVMs) from baseline to week 52 of treatment-naïve wet age-related macular degeneration (wARMD) patients receiving intravitreal aflibercept injections (IAI).
METHODS: Patients were treated with IAI at baseline, month 1 and month 2 and then every other month for a total of 12 months. Along with clinical examination and best corrected visual acuity (BCVA), OCT-A 6- and 3-mm scans were acquired at every visit between May 2017 and January 2019. Data from baseline, week 12 and week 52 were analyzed prospectively and included in the final analysis.
RESULTS: Twenty-five eyes from 23 patients were included in the study. The mean BCVA at baseline and week 52 increased from 20/125 to 20/80, respectively (p < 0.001). The mean CST at baseline and week 52 decreased from 330.48 to 222.40 μm, respectively (p < 0.001). 1Seventeen patients (18 eyes) completed all protocol-based 6 × 6 mm and 3 × 3 mm OCT-A scans. In this subgroup, 6-mm OCT-A scans revealed that the mean size of the CNVM before and after IAI was 1.21 mm2 and 0.56 mm2, respectively (p < 0.001), while the 3-mm OCT-A scans at baseline and week 52 demonstrated a decrease in mean size of the CNVM from 0.89 to 0.37 mm2, respectively (p < 0.001). The 6-mm perfusion density map revealed no difference at either time points.
CONCLUSIONS: OCT-A provides a useful approach for monitoring and evaluating the treatment of intravitreal aflibercept for CNVMs. Mean size of CNVMs can be identified by 3- or 6-mm scans, but without machine learning, it requires extensive segmentation. While reproducibility and clear delineation of CNVMs in wARMD using OCT-A is challenging, OCT-A does offer the ability to monitor CNVM size changes during treatment and may offer another biomarker to assist in assessing treatment response.

Entities:  

Keywords:  Aflibercept; Choroidal neovascular membrane; Optical coherence tomography angiography; Segmentation; Wet age-related macular degeneration

Mesh:

Substances:

Year:  2021        PMID: 33550508     DOI: 10.1007/s10792-021-01726-z

Source DB:  PubMed          Journal:  Int Ophthalmol        ISSN: 0165-5701            Impact factor:   2.031


  35 in total

Review 1.  Aflibercept in age-related macular degeneration: evaluating its role as a primary therapeutic option.

Authors:  M Ashraf; A A R Souka
Journal:  Eye (Lond)       Date:  2017-05-26       Impact factor: 3.775

2.  TWO YEAR OUTCOMES OF "TREAT AND EXTEND" INTRAVITREAL THERAPY USING AFLIBERCEPT PREFERENTIALLY FOR NEOVASCULAR AGE-RELATED MACULAR DEGENERATION.

Authors:  Daniel Barthelmes; Vuong Nguyen; Vincent Daien; Anna Campain; Richard Walton; Robyn Guymer; Nigel Morlet; Alex P Hunyor; Rohan W Essex; Jennifer J Arnold; Mark C Gillies
Journal:  Retina       Date:  2018-01       Impact factor: 4.256

3.  Visual acuities "hand motion" and "counting fingers" can be quantified with the freiburg visual acuity test.

Authors:  Kilian Schulze-Bonsel; Nicolas Feltgen; Hermann Burau; Lutz Hansen; Michael Bach
Journal:  Invest Ophthalmol Vis Sci       Date:  2006-03       Impact factor: 4.799

4.  Quantitative optical coherence tomography angiography of choroidal neovascularization in age-related macular degeneration.

Authors:  Yali Jia; Steven T Bailey; David J Wilson; Ou Tan; Michael L Klein; Christina J Flaxel; Benjamin Potsaid; Jonathan J Liu; Chen D Lu; Martin F Kraus; James G Fujimoto; David Huang
Journal:  Ophthalmology       Date:  2014-03-27       Impact factor: 12.079

5.  Swept-source OCT angiography of the retinal vasculature using intensity differentiation-based optical microangiography algorithms.

Authors:  Yanping Huang; Qinqin Zhang; Mariana R Thorell; Lin An; Mary K Durbin; Michal Laron; Utkarsh Sharma; Giovanni Gregori; Philip J Rosenfeld; Ruikang K Wang
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2014 Sep-Oct       Impact factor: 1.300

Review 6.  Global prevalence of age-related macular degeneration and disease burden projection for 2020 and 2040: a systematic review and meta-analysis.

Authors:  Wan Ling Wong; Xinyi Su; Xiang Li; Chui Ming G Cheung; Ronald Klein; Ching-Yu Cheng; Tien Yin Wong
Journal:  Lancet Glob Health       Date:  2014-01-03       Impact factor: 26.763

7.  Reduced fluorescein angiography and fundus photography use in the management of neovascular macular degeneration and macular edema during the past decade.

Authors:  Eric W Schneider; Prithvi Mruthyunjaya; Nidhi Talwar; Kristen Harris Nwanyanwu; Bin Nan; Joshua D Stein
Journal:  Invest Ophthalmol Vis Sci       Date:  2014-01-29       Impact factor: 4.799

8.  Intravitreal aflibercept (VEGF trap-eye) in wet age-related macular degeneration.

Authors:  Jeffrey S Heier; David M Brown; Victor Chong; Jean-Francois Korobelnik; Peter K Kaiser; Quan Dong Nguyen; Bernd Kirchhof; Allen Ho; Yuichiro Ogura; George D Yancopoulos; Neil Stahl; Robert Vitti; Alyson J Berliner; Yuhwen Soo; Majid Anderesi; Georg Groetzbach; Bernd Sommerauer; Rupert Sandbrink; Christian Simader; Ursula Schmidt-Erfurth
Journal:  Ophthalmology       Date:  2012-10-17       Impact factor: 12.079

Review 9.  Age-related macular degeneration.

Authors:  Paul Mitchell; Gerald Liew; Bamini Gopinath; Tien Y Wong
Journal:  Lancet       Date:  2018-09-29       Impact factor: 79.321

10.  Protocol of global incidence and progression of age-related macular degeneration: A systematic review.

Authors:  Shan Zhao; Xiaowen Lan; Jingyang Wu; Song Yue; Han Zhang; Qiang Wu; Guisen Zhang; Lei Liu
Journal:  Medicine (Baltimore)       Date:  2019-03       Impact factor: 1.817

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  2 in total

1.  Utilization of deep learning to quantify fluid volume of neovascular age-related macular degeneration patients based on swept-source OCT imaging: The ONTARIO study.

Authors:  Simrat K Sodhi; Austin Pereira; Jonathan D Oakley; John Golding; Carmelina Trimboli; Daniel B Russakoff; Netan Choudhry
Journal:  PLoS One       Date:  2022-02-14       Impact factor: 3.240

Review 2.  Managing Neovascular Age-Related Macular Degeneration in Clinical Practice: Systematic Review, Meta-Analysis, and Meta-Regression.

Authors:  Daniele Veritti; Valentina Sarao; Valentina Soppelsa; Carla Danese; Jay Chhablani; Paolo Lanzetta
Journal:  J Clin Med       Date:  2022-01-10       Impact factor: 4.241

  2 in total

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