Hasanreisoglu Murat, Kesim Cem, Yalinbas Duygu, Yilmaz Mervenur, Uzunay Nur Sena, Aktas Zeynep, Halim Muhammad Sohail, Sepah Yasir J, Nguyen Quan Dong, Sahin Afsun
Department of Ophthalmology, Koç University School of Medicine, Istanbul, Turkey.
Koç University Research Centre for Translational Medicine, Istanbul, Turkey.
Eur J Ophthalmol. 2022 Jul;32(4):2291-2297. doi: 10.1177/11206721211039350. Epub 2021 Aug 12.
To evaluate effect of maximal anterior cortical lens density, iris scatter and anterior chamber depth on laser flare photometry.
Patients diagnosed with clinical uveitis were enrolled in the study. Clinical flare gradings were recorded upon the Standardization of Uveitis Nomenclature. Aqueous flare was measured with an automated device (Kowa FM-700). Back-scattering from anterior cortical lens and anterior iris surface was calculated from Scheimpflug images. A curvilinear regression model was used to calculate estimated values for each clinical grade. These values were used to split cases in Group I (laser flare photometry lower than estimated) and Group II (laser flare photometry higher than estimated). Mean anterior chamber depth, pupil aperture, maximal anterior cortical lens density and iris scatter values were compared between two groups. A stepwise multiple regression analysis was performed to determine the effect of clinical flare gradings and ocular parameters on aqueous flare measurements.
The study included 228 eyes of 114 cases. Scheimpflug images were obtained from 105 eyes. Estimated aqueous flare measurements (in photons/milliseconds) were 4.87, 8.50, 14.81, 25.83, 45.04 and 136.93 for 0, 0.5+, 1+, 1.5+, 2+ and 3+ clinical flare respectively. Group II had higher maximal anterior cortical lens density than Group I (96.6 ± 37.1 vs 77.9 ± 17.1 pixel unit, = 0.001). The measured aqueous flare was significantly related to clinical flare, maximal anterior cortical lens density and pupil aperture (adjusted : 0.480, < 0.001).
The back-scattered light from anterior cortical lens could affect laser flare photometry measurements. This effect might be quantified by Scheimpflug imaging.
评估晶状体前皮质最大密度、虹膜散射及前房深度对激光散射细胞测量法的影响。
纳入诊断为临床葡萄膜炎的患者。根据葡萄膜炎命名标准化记录临床炎症分级。使用自动设备(Kowa FM - 700)测量房水闪光。根据眼前节图像计算晶状体前皮质和虹膜前表面的后向散射。采用曲线回归模型计算各临床分级的估计值。这些值用于将病例分为I组(激光散射细胞测量法低于估计值)和II组(激光散射细胞测量法高于估计值)。比较两组之间的平均前房深度、瞳孔孔径、晶状体前皮质最大密度和虹膜散射值。进行逐步多元回归分析以确定临床炎症分级和眼部参数对房水闪光测量的影响。
该研究纳入了114例患者的228只眼。获得了105只眼的眼前节图像。0、0.5 +、1 +、1.5 +、2 +和3 +临床炎症分级对应的估计房水闪光测量值(光子/毫秒)分别为4.87、8.50、14.81、25.83、45.04和136.93。II组的晶状体前皮质最大密度高于I组(96.6±37.1对77.9±17.1像素单位,P = 0.001)。测量的房水闪光与临床炎症、晶状体前皮质最大密度和瞳孔孔径显著相关(调整后R²:0.480,P < 0.001)。
晶状体前皮质的后向散射光可影响激光散射细胞测量法的测量结果。这种影响可通过眼前节图像进行量化。