Fujimoto Satoko, Maruyama Kazuichi, Nishida Takashi, Tanikawa Akira, Iwamoto Yuri, Liu Shiyi, Wang Zhenguo, Shiraki Nobuhiko, Matsushita Kenji, Akiba Masahiro, Nishida Kohji
Department of Ophthalmology, Graduate School of Medicine, The University of Osaka, Suita, Japan.
Department of Vision Informatics, Graduate School of Medicine, The University of Osaka, Osaka, Japan.
Sci Rep. 2025 Aug 26;15(1):31459. doi: 10.1038/s41598-025-16480-w.
This study aimed to compare the number of peripapillary perforating scleral vessels (PPSVs) between eyes with and without glaucoma. A retrospective case-control analysis was performed on patients with glaucoma and control participants who underwent swept-source optical coherence tomography (SS-OCT) at a single institution. The number of PPSVs around the optic disc was counted on deep-learning assisted en face SS-OCT images created from 6 × 6 mm peripapillary volumetric scans. The study included 33 eyes from 33 participants (21 eyes from 21 patients with glaucoma and 12 eyes from 12 healthy controls). The number of PPSVs was significantly lower in eyes with glaucoma (95% confidence interval [CI], 16.0-20.6) than in control eyes (95% CI, 24.2-29.0; P < 0.001). It was not associated with age in patients with glaucoma (P = 0.89). The receiver operating characteristic curve had an area under the curve of 0.95 (95% CI, 0.93-0.97); at a cutoff value of 21.50, the sensitivity and specificity for identifying glaucoma were 84.6%, and 91.7%, respectively. These outcomes suggest that the decrease in PPSVs in glaucoma may be related to perfusion loss in the retina or optic nerve, and the number of PPSVs may be a biomarker for detecting the risk of glaucoma.
本研究旨在比较青光眼患者与非青光眼患者的视乳头周围巩膜穿通血管（PPSV）数量。对在单一机构接受扫频光学相干断层扫描（SS-OCT）的青光眼患者和对照参与者进行了回顾性病例对照分析。在由6×6mm视乳头周围容积扫描创建的深度学习辅助的SS-OCT正面图像上，对视盘周围的PPSV数量进行计数。该研究纳入了33名参与者的33只眼睛（21名青光眼患者的21只眼睛和12名健康对照者的12只眼睛）。青光眼患者眼睛中的PPSV数量（95%置信区间[CI]，16.0 - 20.6）显著低于对照眼睛（95%CI，24.2 - 29.0；P < 0.001）。它与青光眼患者的年龄无关（P = 0.89）。受试者工作特征曲线下面积为0.95（95%CI，0.93 - 0.97）；在截断值为21.50时，识别青光眼的敏感性和特异性分别为84.6%和91.7%。这些结果表明，青光眼患者PPSV数量的减少可能与视网膜或视神经的灌注损失有关，PPSV数量可能是检测青光眼风险的生物标志物。
