A novel method of quantifying retinal vascular tortuosity in retinopathy of prematurity

This study evaluated the diagnostic performance of a novel vessel tracing software that quantifies retinal vessel tortuosity in premature infants for assessing retinopathy of prematurity (ROP). Seventy-three retinal images of premature infants were subjectively classified as having "Normal" or "Abnormal" tortuosity based on arterial tortuosity of the posterior retina by seven clinicians. The software then semi-automatically traced the same arteries within circular regions of interest centered at the optic disc, with radii ranging from 2 to 20x the disc diameters. Vessel tortuosity was defined as the sum of external angles at vessel bend points. Tortuosity was significantly greater in Abnormal images within regions exceeding 4-disc diameters (p < 0.05). Diagnostic accuracy improved with larger regions: the area under the curve increased from 0.56 at 2 times to 0.90 at 8 times and 1.00 at 14 times the diameter. At 14 times, corresponding approximately to Zone I, the software achieved 100% sensitivity and specificity for detecting abnormal tortuosity. The software accurately quantified vessel tortuosity especially within Zone I of the retina, which may reduce inter-observer variability and aid clinicians, including non-specialists, in the evaluation of ROP eyes.

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Publication Details

Journal
Scientific Reports
Published
2025-11-22
DOI
https://doi.org/10.1038/s41598-025-29065-4
Primary Topic
Retinopathy of Prematurity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

A novel method of quantifying retinal vascular tortuosity in retinopathy of prematurity

Taku Toyama, Koichiro Sugimoto, Kentaro Hayashi, Han Zhou et al.
Scientific Reports
Retinopathy of Prematurity Studies
article

A novel method of quantifying retinal vascular tortuosity in retinopathy of prematurity

Taku Toyama, Koichiro Sugimoto, Kentaro Hayashi, Han Zhou, Masako Nagahara, Ryosuke Fujino, Takashi Ueta, Kosuke Nakajima, Gen Mihara
article en

Abstract

This study evaluated the diagnostic performance of a novel vessel tracing software that quantifies retinal vessel tortuosity in premature infants for assessing retinopathy of prematurity (ROP). Seventy-three retinal images of premature infants were subjectively classified as having "Normal" or "Abnormal" tortuosity based on arterial tortuosity of the posterior retina by seven clinicians. The software then semi-automatically traced the same arteries within circular regions of interest centered at the optic disc, with radii ranging from 2 to 20x the disc diameters. Vessel tortuosity was defined as the sum of external angles at vessel bend points. Tortuosity was significantly greater in Abnormal images within regions exceeding 4-disc diameters (p < 0.05). Diagnostic accuracy improved with larger regions: the area under the curve increased from 0.56 at 2 times to 0.90 at 8 times and 1.00 at 14 times the diameter. At 14 times, corresponding approximately to Zone I, the software achieved 100% sensitivity and specificity for detecting abnormal tortuosity. The software accurately quantified vessel tortuosity especially within Zone I of the retina, which may reduce inter-observer variability and aid clinicians, including non-specialists, in the evaluation of ROP eyes.

Scientific ReportsVol. 15(1)
Tokyo Medical University (JP), National Center for Global Health and Medicine (JP), University of Tokyo Hospital (JP), Kameda Medical Center (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 49%
Retinopathy of Prematurity Studies
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