Purpose: To compare retinal vascular parameters acquired by handheld swept-source optical coherence tomography angiography (SS-OCTA) between nonsedated preterm and full-term infants. Methods: Preterm and full-term infants at the University of Washington Medical Center were enrolled. Retinal angiograms (nominal size ~7 × 7 mm2 ) were obtained at each routine retinopathy of prematurity (ROP) screening session for preterms and once during the first 72 hours of life for full-terms. Macular vessel area density and nonperfusion area were evaluated on the binarized vasculature map in both small (1.5 × 1.5 mm) and large (3 × 3 mm) quadrants. Average vessel diameter and tortuosity values were obtained from each large vessel branch (length >200 μm). All vascular analyses used previously published algorithms. Results: Handheld SS-OCTA captured 31 of 55 (56%) high-quality volumes on 8 awake preterm infants (gestational age 28 ± 4 weeks, birth weight 891 ± 314 g, postmenstrual age at first imaging session 37 ± 2 weeks) and 48 of 54 (89%) volumes on 12 awake full-term infants (gestational age 39 ± 1 weeks, birth weight 3405 ± 329 g). Signal-tonoise ratio was 5.08 ± 1.52 dB in preterm and 4.90 ± 1.12 dB in full-term infants. Preterm infants had higher mean large vessel tortuosity compared to full-term infants (P = 0.004). The large nasal quadrant vessel area density of infants with stage 3 and/or pre-plus or worse ROP was higher than other preterm infants (P = 0.007). Conclusions: Although inadequate image quality limited usable imaging sessions, handheld SS-OCTA achieved adequate signal-to-noise ratio in nonsedated infants for quantitative retinal vascular parameter analysis. Translational Relevance: Large-and small-vessel parameters were associated with prematurity and ROP severity, respectively.
CITATION STYLE
Zhou, K., Song, S., Legocki, A., Cheng, Y., Ding, L., Rezaei, K. A., … Cabrera, M. T. (2020). Quantitative handheld swept-source optical coherence tomography angiography in awake preterm and full-term infants. Translational Vision Science and Technology, 9(13), 1–13. https://doi.org/10.1167/tvst.9.13.19
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