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Retinal fluid quantification using a novel deep learning algorithm in patients treated with faricimab in the TRUCKEE

Aamir A Aziz1, Arshad M Khanani2,3, Hannah Khan1

  • 1University of Nevada, Reno School of Medicine, Reno, NV, USA.

Eye (London, England)
|December 11, 2024
PubMed
Summary
This summary is machine-generated.

A novel deep-learning algorithm quantified retinal fluid changes in patients with neovascular age-related macular degeneration (nAMD) treated with faricimab. Faricimab effectively reduced retinal fluid after one injection and sustained this effect with longer treatment intervals.

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Area of Science:

  • Ophthalmology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Neovascular age-related macular degeneration (nAMD) is a leading cause of vision loss.
  • Current treatments aim to control retinal fluid accumulation.
  • Novel methods are needed for precise fluid quantification.

Purpose of the Study:

  • To evaluate retinal fluid changes in nAMD patients treated with faricimab using a novel deep-learning algorithm.
  • To assess the efficacy of faricimab in reducing intraretinal and subretinal fluid.
  • To analyze fluid dynamics across multiple treatment cycles.

Main Methods:

  • Retrospective chart review of 521 nAMD patients treated with faricimab.
  • Optical coherence tomography (OCT) image analysis using the Notal OCT Analyzer (NOA) deep-learning algorithm.
  • Quantification of intraretinal, subretinal, and total retinal fluid.

Main Results:

  • 49.9% of eyes showed fluid reduction after the first faricimab injection, with a mean reduction of -60.7 nL.
  • Fluid reduction was sustained across subsequent injections (51.4%–54.4%).
  • Mean retreatment intervals increased with continued faricimab treatment, reaching up to 61.5 days.

Conclusions:

  • Deep-learning algorithms offer precise quantification of retinal fluid in nAMD.
  • Faricimab effectively reduces and maintains reduced retinal fluid levels after initial treatment.
  • Faricimab treatment leads to sustained fluid reduction and extended retreatment intervals in nAMD patients.