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. 2024 Jan;8(1):88-91.
doi: 10.1016/j.oret.2023.09.001. Epub 2023 Sep 7.

Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of Prematurity

Thanh-Tin P Nguyen  1 , Benjamin K Young  1 , Aaron Coyner  2 , Susan Ostmo  1 , R V Paul Chan  3 , Jayashree Kalpathy-Cramer  4 , Michael F Chiang  5 , J Peter Campbell  6 ; Imaging and Informatics in ROP Consortium
Collaborators, Affiliations

Discrepancies in Diagnosis of Treatment-Requiring Retinopathy of Prematurity

Thanh-Tin P Nguyen et al. Ophthalmol Retina. 2024 Jan.

Abstract

52% of treated eyes with retinopathy of prematurity in a multicenter cohort didn’t require intervention per evaluation by an independent reading center. An artificial intelligence system detected worse vascular severity in the group designed as treatment-requiring by reading center.

Keywords: Artificial intelligence; Pediatric retina; Plus disease; Retinopathy of prematurity.

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Figures

Figure:
Figure:
Methodology for assessment of vascular severity score and examples of discordant gradings and vascular severity scores. Top row (white outline) image demonstrates an example of a baby with plus disease by both reading center and clinician, and the u-net derived vascular tree segmentation used for assessment of vascular severity score with the resulting vascular severity score. Middle row (orange outline) demonstrates two examples of babies clinically diagnosed with type 1 ROP with plus disease and treated, but with reading center diagnosis of type 2 / pre-plus disease. Bottom row (red outline) demonstrates two examples of eyes diagnosed with type 1 / plus disease by both reading center and clinician. On average eyes diagnosed with type 2 / preplus disease by the reading center had lower vascular severity scores than eyes diagnosed with type 1 / plus disease.
See this image and copyright information in PMC

References

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