[使用 Python 开发的荧光检测系统对剥离视网膜后吲哚菁绿在眼内的分布特征进行临床观察]。

Y Zhang, K R Zhang, S Gao, M X Zhang
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引用次数: 0

摘要

目的:利用基于 Python 的荧光区域检测系统,观察并定量分析吲哚菁绿(ICG)在视网膜外膜剥离后的眼内分布特征和代谢模式。方法:对2019年3月至2021年3月在四川大学华西医院接受玻璃体切除术的特发性视网膜外膜患者进行前瞻性病例系列研究。术中应用ICG染色剥离视网膜外膜和内缘膜。术后1周、1个月、3个月、6个月和12个月对患者进行随访,评估内容包括最佳矫正视力、眼压、眼底照相、近红外眼底荧光成像(NIR-FF)和光学相干断层扫描(OCT)。我们开发了一个基于 Python 的 ICG 眼内代谢检测系统,用于测量近红外眼底荧光成像(NIR-FF)上的 ICG 荧光残留面积、预测 ICG 代谢模式方程,并将其与术后视力和毛细血管周围视网膜神经纤维层厚度相关联。结果共纳入 64 例患者(64 眼),平均年龄(64.6±8.4)岁,其中男性 25 例(39.1%),女性 39 例(60.9%)。术前 NIR-FF 图像显示无 ICG 强荧光。术后1周,后极出现弥漫性ICG强荧光,内缘膜切除区出现环状弱荧光。随着时间的推移,沿血管弓和神经纤维轨迹观察到 ICG 强荧光,向视盘方向逐渐减弱,1 年后视盘处仍可见残余 ICG 荧光。基于 Python- 的 ICG 荧光面积检测系统能有效测量眼内残余 ICG 面积。通过线性回归分析,构建了12个月残余ICG面积的预测方程(残余ICG面积=0.22×6个月时的残余ICG面积,R2=16%,P=0.002)。除1个月时的ICG残留面积与术后视力呈负相关(P=0.017,r=-0.195)外,其他随访时间的眼内ICG荧光残留面积与术后视力或毛细血管周围视网膜神经纤维层厚度均无相关性(均P>0.05)。结论特发性视网膜外膜患者接受 ICG 染色进行内缘膜剥离时,ICG 在眼球中显示出特征性的代谢过程,沿血管弓和神经纤维轨迹发出强荧光,随着时间的推移逐渐向视盘汇聚。基于Python的ICG荧光区域检测系统可以清晰地显示视网膜外膜剥离后ICG在眼内的分布特征,并可作为预测ICG在眼内代谢模式的工具。
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[Clinical observation of the intraocular distribution characteristics of indocyanine green after epiretinal membrane peeling using a fluorescence detection system developed in Python].

Objective: To utilize a Python-based fluorescence area detection system to observe and quantitatively analyze the intraocular distribution characteristics and metabolic patterns of Indocyanine Green (ICG) following epiretinal membrane peeling. Methods: A prospective case series study was conducted on patients with idiopathic epiretinal membrane undergoing vitrectomy at West China Hospital of Sichuan University from March 2019 to March 2021. ICG staining was applied during surgery for peeling the epiretinal membrane and internal limiting membrane. Patients were followed up at 1 week, 1 month, 3 months, 6 months, and 12 months postoperatively, with assessments including best-corrected visual acuity, intraocular pressure, fundus photography, near-infrared fundus fluorescence imaging (NIR-FF), and optical coherence tomography (OCT). A Python-based ICG intraocular metabolism detection system was developed to measure the residual area of ICG fluorescence on NIR-FF, predict the ICG metabolic pattern equation, and correlate it with postoperative visual acuity and peripapillary retinal nerve fiber layer thickness. Results: A total of 64 patients (64 eyes) were included, with an average age of 64.6±8.4 years, including 25 males (39.1%) and 39 females (60.9%). Preoperative NIR-FF images showed no ICG strong fluorescence. At 1 week postoperatively, diffuse ICG strong fluorescence appeared in the posterior pole, and the internal limiting membrane removal area exhibited a ring-like weak fluorescence. Over time, ICG strong fluorescence was observed along the vascular arch and nerve fiber trajectory, gradually diminishing toward the optic disc, with residual ICG fluorescence still visible at the optic disc at 1 year. The Python-based ICG fluorescence area detection system effectively measured intraocular residual ICG area. A predictive equation for the 12-month residual ICG area was constructed through linear regression analysis (Residual ICG area=0.22 × Residual ICG area at 6 months, R2=16%, P=0.002). Except for a negative correlation between the ICG residual area at 1 month and postoperative visual acuity (P=0.017, r=-0.195), no correlation was found between intraocular ICG fluorescence residual area and postoperative visual acuity or peripapillary retinal nerve fiber layer thickness at other follow-up times (all P>0.05). Conclusions: In patients with idiopathic epiretinal membrane undergoing ICG staining for internal limiting membrane peeling, ICG exhibits characteristic metabolic processes in the eye, with strong fluorescence along the vascular arch and nerve fiber trajectory, gradually converging toward the optic disc over time. The Python-based ICG fluorescence area detection system provides a clear display of the intraocular distribution characteristics of ICG after epiretinal membrane peeling and serves as a tool for predicting the metabolic patterns of ICG in the eye.

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来源期刊
中华眼科杂志
中华眼科杂志 Medicine-Ophthalmology
CiteScore
0.80
自引率
0.00%
发文量
12700
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