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

Eye volume 37, pages 2834–2835 (2023)Cite this article

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A Correspondence to this article was published on 21 January 2023

This article has been updated

Kumar et al. reported an eloquent and well-designed randomized, interventional study of fluorescein angiography (FA) guided laser treatment for aggressive retinopathy of prematurity (AROP) [1]. The authors observed that the FA-guided laser treatment group had significantly lesser skip areas (p = 0.001 after 1st laser, p = 0.003 after 2nd laser) and more complete laser treatment. As laser treatment in AROP is often challenging, the study concluded that FA-guided laser treatment may ensure more complete treatment compared to only fundus-guided treatment.

As mentioned by the study authors, FA requires neonatologist monitoring in AROP infants and requires the infant to be fit enough for this invasive, contrast-based procedure. A noted study limitation was that very sick infants were unable to receive neonatology FA clearance; 11 of the 56 infants (19.6%) diagnosed with AROP were deemed unfit to undergo FA. Unfortunately, a proportion of AROP infants may not be well enough to undergo this invasive procedure in the future but would likely benefit from a more complete laser treatment.

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Change history

  • 22 March 2023

    The related article 10.1038/s41433-023-02401-6 was linked twice by mistake and has now been corrected.

References

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Funding

NASA Grant [80NSSC20K183]: A Non-intrusive Ocular Monitoring Framework to Model Ocular Structure and Functional Changes due to Long-term Spaceflight.

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Authors and Affiliations

  1. Michigan Medicine, University of Michigan, Ann Arbor, MI, USA

    Joshua Ong

  2. University College Dublin School of Medicine, Belfield, Dublin, Ireland

    Ethan Waisberg

  3. Human-Machine Perception Laboratory, Department of Computer Science and Engineering, University of Nevada, Reno, Reno, NV, USA

    Sharif Amit Kamran, Nasif Zaman, Prithul Sarker & Alireza Tavakkoli

  4. Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Phani Paladugu

  5. Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA

    Phani Paladugu

  6. Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA

    Andrew G. Lee

  7. Department of Ophthalmology, Blanton Eye Institute, Houston Methodist Hospital, Houston, TX, USA

    Andrew G. Lee

  8. The Houston Methodist Research Institute, Houston Methodist Hospital, Houston, TX, USA

    Andrew G. Lee

  9. Departments of Ophthalmology, Neurology, and Neurosurgery, Weill Cornell Medicine, New York, NY, USA

    Andrew G. Lee

  10. Department of Ophthalmology, University of Texas Medical Branch, Galveston, TX, USA

    Andrew G. Lee

  11. University of Texas MD Anderson Cancer Center, Houston, TX, USA

    Andrew G. Lee

  12. Texas A&M College of Medicine, Bryan, TX, USA

    Andrew G. Lee

  13. Department of Ophthalmology, The University of Iowa Hospitals and Clinics, Iowa City, IA, USA

    Andrew G. Lee

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  1. Joshua Ong
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  7. Alireza Tavakkoli
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  8. Andrew G. Lee
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Contributions

JO—Conceptualization, Writing. EW—Conceptualization, Writing. SK—Review, Intellectual Support. PP—Review, Intellectual Support. NZ—Review, Intellectual Support. PS-Review, Intellectual Support. AT—Review, Intellectual Support. AGL—Review, Intellectual Support.

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Correspondence to Andrew G. Lee.

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Ong, J., Waisberg, E., Kamran, S.A. et al. Deep learning synthetic angiograms for individuals unable to undergo contrast-guided laser treatment in aggressive retinopathy of prematurity. Eye 37, 2834–2835 (2023). https://doi.org/10.1038/s41433-023-02400-7

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