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Response to: ‘Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity’

Eye volume 37, page 2836 (2023)Cite this article

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We thank Ong et al. for their suggestions about the use of deep learning technology particularly generative adversarial networks (GANs) for producing synthetic angiograms from fundoscopic images [1] to help assess aggressive retinopathy of prematurity (AROP) infants unfit for fluorescein angiography (FA). Indeed, FA is a very useful imaging tool in AROP as it can provide useful guidance for management, but since AROP is observed in very sick babies, performing FA maybe difficult [2].

OCT angiography (OCTA) is being used in ROP for visualising foveal/retinal vasculature using a dye-less technique but requires expensive equipment, has motion artifacts and still has a limited field of view [3, 4]. However, use of this deep learning technology in ROP seems promising as angiographic conversion of wide field fundus images without invasive dye injection can provide easy and safe access to angiography data. Of course, it needs to be tested in a large varied dataset in AROP/ROP to validate if the angiographic images conversion quality from fundus images is suitable for accurate interpretation and treatment modulation (especially in cases of suboptimal fundus imaging quality or poor peripheral imagery due to poorly dilating pupils as commonly observed in AROP/severe plus disease), and if it can actually replace FA in the real-world scenario.

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References

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Authors and Affiliations

  1. Dr. Rajendra Prasad Centre for Ophthalmic Sciences, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India

    Prashant Kumar, Parijat Chandra, Rohan Chawla & Rajpal Vohra

  2. Department of Pediatrics, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India

    Ramesh Agarwal

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  1. Prashant Kumar
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  2. Parijat Chandra
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All authors contributed equally to the writing of this paper.

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Correspondence to Parijat Chandra.

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Kumar, P., Chandra, P., Agarwal, R. et al. Response to: ‘Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity’. Eye 37, 2836 (2023). https://doi.org/10.1038/s41433-023-02401-6

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  • DOI: https://doi.org/10.1038/s41433-023-02401-6

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