Lingham Gareth, Kugelman Jason, Charng Jason, Lee Samantha Sy, Yazar Seyhan, McKnight Charlotte M, Coroneo Minas T, Lucas Robyn M, Brown Holly, Stevenson Louis J, Mackey David A, Alonso-Caneiro David
Centre for Ophthalmology and Visual Science (incorporating Lions Eye Institute), University of Western Australia, Perth, Western Australia, Australia
School of Optometry and Vision Science, Queensland University of Technology, Brisbane, Queensland, Australia.
Br J Ophthalmol. 2023 May;107(5):614-620. doi: 10.1136/bjophthalmol-2021-320284. Epub 2021 Nov 23.
Conjunctival ultraviolet autofluorescence (CUVAF) is a method of detecting conjunctival damage related to ultraviolet radiation exposure. In cross-sectional studies, CUVAF area is positively associated with self-reported time spent outdoors and pterygium and negatively associated with myopia; however, longitudinal studies are scarce.
To use a novel deep learning-based tool to assess 8-year change in CUVAF area in young adults, investigate factors associated with this change and identify the number of new onset pterygia.
A deep learning-based CUVAF tool was developed to measure CUVAF area. CUVAF area and pterygium status were assessed at three study visits: baseline (participants were approximately 20 years old) and at 7-year and 8-year follow-ups. Participants self-reported sun protection behaviours and ocular history.
CUVAF data were available for 1497 participants from at least one study visit; 633 (43%) participants had complete CUVAF data. Mean CUVAF areas at baseline and the 7-year and 8-year follow-ups were 48.4, 39.3 and 37.7 mm, respectively. There was a decrease in mean CUVAF area over time (change in total CUVAF area=-0.96 mm per year (95% CI: -1.07 to -0.86)). For participants who wore sunglasses ≥1/2 of the time, CUVAF area decreased by an additional -0.42 mm per year (95% CI: -0.72 to -0.12) on average. Fourteen (1.5%) participants developed a pterygium.
In this young adult cohort, CUVAF area declined over an 8-year period. Wearing sunglasses was associated with a faster reduction in CUVAF area. Deep learning-based models can assist in accurate and efficient measurement of CUVAF area.
结膜紫外线自发荧光（CUVAF）是一种检测与紫外线辐射暴露相关的结膜损伤的方法。在横断面研究中，CUVAF面积与自我报告的户外活动时间和翼状胬肉呈正相关，与近视呈负相关；然而，纵向研究较少。
使用一种基于深度学习的新型工具评估年轻成年人8年期间CUVAF面积的变化，调查与这种变化相关的因素，并确定新发性翼状胬肉的数量。
开发了一种基于深度学习的CUVAF工具来测量CUVAF面积。在三次研究访视时评估CUVAF面积和翼状胬肉状态：基线（参与者约20岁）以及7年和8年随访时。参与者自我报告防晒行为和眼部病史。
至少一次研究访视中有1497名参与者有CUVAF数据；633名（43%）参与者有完整的CUVAF数据。基线、7年和8年随访时的平均CUVAF面积分别为48.4、39.3和37.7平方毫米。平均CUVAF面积随时间减少（CUVAF总面积变化=-0.96平方毫米/年（95%置信区间：-1.07至-0.86））。对于佩戴太阳镜时间≥一半的参与者，CUVAF面积平均每年额外减少-0.42平方毫米（95%置信区间：-0.72至-0.12）。14名（1.5%）参与者患了翼状胬肉。
在这个年轻成年人队列中，CUVAF面积在8年期间下降。佩戴太阳镜与CUVAF面积更快减少有关。基于深度学习的模型可以协助准确、高效地测量CUVAF面积。
