Jing Dalan, Jiang Xiaodan, Ren Xiaotong, Su Jie, Wei Shanshan, Hao Ran, Chou Yilin, Li Xuemin
Beijing Key Laboratory of Restoration of Damaged Ocular Nerve, Department of Ophthalmology, Peking University Third Hospital, 49 North Garden Rd., Haidian District, Beijing 100191, China.
Beijing Ophthalmology & Visual Sciences Key Laboratory, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100069, China.
J Clin Med. 2022 Sep 27;11(19):5697. doi: 10.3390/jcm11195697.
This study aimed to evaluate the change patterns in corneal intrinsic aberrations and nerve density after cataract surgery in dry eye disease. The preoperative, 1- and 3-month postoperative dry eye-related parameters were obtained by the Oculus keratograph and the ocular surface disease index questionnaire. The corneal intrinsic aberrations were measured using the Pentacam HR system. In vivo confocal microscopy was performed to observe the vortical and peripheral corneal nerves. An artificial intelligence technique run by the deep learning model generated the corneal nerve parameters. Corneal aberrations on the anterior and total corneal surfaces were significantly increased at 1 month compared with the baseline (p < 0.05) but gradually returned to the baseline by 3 months (p > 0.05). However, the change in posterior corneal aberration lasted up to 3 months (p < 0.05). There was a significant decrease in the corneal vortical nerve maximum length and average density after the operation (p < 0.05), and this damage lasted approximately 3 months. The corneal vortical nerve maximum length and average density were negatively correlated with the anterior corneal surface aberrations before and 1 month after the operation (correlation coefficients, CC = −0.26, −0.25, −0.28; all p < 0.05). Corneal vortex provided a unique site to observe long-term corneal nerve injury related to eye dryness. The continuous damage to the corneal vortical nerve may be due to the continuous dry eye state.
本研究旨在评估干眼症患者白内障手术后角膜固有像差和神经密度的变化模式。通过Oculus角膜地形图仪和眼表疾病指数问卷获取术前、术后1个月和3个月的干眼相关参数。使用Pentacam HR系统测量角膜固有像差。采用活体共聚焦显微镜观察角膜涡状神经和周边角膜神经。由深度学习模型运行的人工智能技术生成角膜神经参数。与基线相比,前角膜表面和全角膜表面的像差在术后1个月显著增加(p<0.05),但在3个月时逐渐恢复至基线水平(p>0.05)。然而,后角膜像差的变化持续至3个月(p<0.05)。术后角膜涡状神经的最大长度和平均密度显著降低(p<0.05),且这种损伤持续约3个月。术前及术后1个月,角膜涡状神经的最大长度和平均密度与前角膜表面像差呈负相关(相关系数,CC = -0.26、-0.25、-0.28;均p<0.05)。角膜涡状神经为观察与干眼相关的长期角膜神经损伤提供了一个独特的部位。角膜涡状神经的持续损伤可能归因于持续的干眼状态。