Literature DB >> 33087314

Automated quantification of macular fluid in retinal diseases and their response to anti-VEGF therapy.

Martin Michl1, Maria Fabianska1, Philipp Seeböck1, Amir Sadeghipour1, Bilal Haj Najeeb1, Hrvoje Bogunovic1, Ursula Margarethe Schmidt-Erfurth1, Bianca S Gerendas2.   

Abstract

AIM: To objectively assess disease activity and treatment response in patients with retinal vein occlusion (RVO), neovascular age-related macular degeneration (nAMD) and centre-involved diabetic macular oedema (DME), using artificial intelligence-based fluid quantification.
METHODS: Posthoc analysis of 2311 patients (11 151 spectral-domain optical coherence tomography volumes) from five clinical, multicentre trials, who received a flexible antivascular endothelial growth factor (anti-VEGF) therapy over a 12-month period. Fluid volumes were measured with a deep learning algorithm at baseline/months 1, 2, 3 and 12, for three concentric circles with diameters of 1, 3 and 6 mm (fovea, paracentral ring and pericentral ring), as well as four sectors surrounding the fovea (superior, nasal, inferior and temporal).
RESULTS: In each disease, at every timepoint, most intraretinal fluid (IRF) per square millimetre was present at the fovea, followed by the paracentral ring and pericentral ring (p<0.0001). While this was also the case for subretinal fluid (SRF) in RVO/DME (p<0.0001), patients with nAMD showed more SRF in the paracentral ring than at the fovea up to month 3 (p<0.0001). Between sectors, patients with RVO/DME showed the highest IRF volumes temporally (p<0.001/p<0.0001). In each disease, more SRF was consistently found inferiorly than superiorly (p<0.02). At month 1/12, we measured the following median reductions of initial fluid volumes. For IRF: RVO, 95.9%/97.7%; nAMD, 91.3%/92.8%; DME, 37.3%/69.9%. For SRF: RVO, 94.7%/97.5%; nAMD, 98.4%/99.8%; DME, 86.3%/97.5%.
CONCLUSION: Fully automated localisation and quantification of IRF/SRF over time shed light on the fluid dynamics in each disease. There is a specific anatomical response of IRF/SRF to anti-VEGF therapy in all diseases studied. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Imaging; Macula; Retina; Treatment Medical

Mesh:

Substances:

Year:  2020        PMID: 33087314     DOI: 10.1136/bjophthalmol-2020-317416

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


  6 in total

1.  Personalized treatment supported by automated quantitative fluid analysis in active neovascular age-related macular degeneration (nAMD)-a phase III, prospective, multicentre, randomized study: design and methods.

Authors:  Leonard M Coulibaly; Stefan Sacu; Philipp Fuchs; Hrvoje Bogunovic; Georg Faustmann; Christian Unterrainer; Gregor S Reiter; Ursula Schmidt-Erfurth
Journal:  Eye (Lond)       Date:  2022-07-05       Impact factor: 4.456

2.  Inhibitory effect of miR‑182‑5p on retinal neovascularization by targeting angiogenin and BDNF.

Authors:  Chenyue Li; Hongxuan Lie; Weifeng Sun
Journal:  Mol Med Rep       Date:  2021-12-22       Impact factor: 2.952

3.  Deep learning models for screening of high myopia using optical coherence tomography.

Authors:  Kyung Jun Choi; Jung Eun Choi; Hyeon Cheol Roh; Jun Soo Eun; Jong Min Kim; Yong Kyun Shin; Min Chae Kang; Joon Kyo Chung; Chaeyeon Lee; Dongyoung Lee; Se Woong Kang; Baek Hwan Cho; Sang Jin Kim
Journal:  Sci Rep       Date:  2021-11-04       Impact factor: 4.379

Review 4.  Quantitative assessment of retinal fluid in neovascular age-related macular degeneration under anti-VEGF therapy.

Authors:  Gregor S Reiter; Ursula Schmidt-Erfurth
Journal:  Ther Adv Ophthalmol       Date:  2022-03-23

5.  Predicting treat-and-extend outcomes and treatment intervals in neovascular age-related macular degeneration from retinal optical coherence tomography using artificial intelligence.

Authors:  Hrvoje Bogunović; Virginia Mares; Gregor S Reiter; Ursula Schmidt-Erfurth
Journal:  Front Med (Lausanne)       Date:  2022-08-09

Review 6.  The Role of Medical Image Modalities and AI in the Early Detection, Diagnosis and Grading of Retinal Diseases: A Survey.

Authors:  Gehad A Saleh; Nihal M Batouty; Sayed Haggag; Ahmed Elnakib; Fahmi Khalifa; Fatma Taher; Mohamed Abdelazim Mohamed; Rania Farag; Harpal Sandhu; Ashraf Sewelam; Ayman El-Baz
Journal:  Bioengineering (Basel)       Date:  2022-08-04
  6 in total

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