Erb-Eigner Katharina, Hirnschall Nino, Hackl Christoph, Schmidt Christoph, Asbach Patrick, Findl Oliver
Department of Radiology, Charité-Universitätsmedizin Berlin, Campus Benjamin Franklin, Berlin, Germany.
Vienna Institute for Research in Ocular Surgery (VIROS), a Karl Landsteiner Institute, Hanusch Hospital, Vienna, Austria.
Invest Ophthalmol Vis Sci. 2015 Oct;56(11):6847-54. doi: 10.1167/iovs.15-17228.
The aim of this study was to correlate different biometric dimensions of the eye as measured from ocular magnetic resonance imaging (MRI) scans to predict the lens diameter.
High-resolution ocular MRI scans of 100 eyes of 100 patients were reviewed. Various anatomical variables of the eye such as the axial length, the globe diameter, and the lens dimensions were measured. Also, the distances between the ciliary sulcus and angle-to-angle were measured. A partial least square (PLS) regression model was built to analyze which variables influence the model regarding the lens dimensions.
Sixty-two eyes of 62 patients were included in the final analysis. The lens diameter ratio (horizontal to vertical) was 0.93 (SD: 0.04; 0.83-1.00). The partial least square regression showed a significant connection (P < 0.001) between the horizontal and vertical diameter. The partial least square regression model that included the globe diameter and the axis length resulted in the best prediction for the horizontal lens diameter. Similar to the horizontal lens diameter, globe diameter was the best predictor for the vertical lens diameter followed by the distance of the ciliary sulcus. White-to-white distance, distance of the ciliary sulcus, and axial eye length were found to have a high influence on the angle-to-angle distance.
The introduced models may serve as tools to predict the capsular bag biometry in a preoperative setting for cataract surgery or lens refilling procedures.
本研究旨在关联通过眼部磁共振成像（MRI）扫描测量的眼睛不同生物特征尺寸，以预测晶状体直径。
回顾了100例患者100只眼睛的高分辨率眼部MRI扫描结果。测量了眼睛的各种解剖学变量，如眼轴长度、眼球直径和晶状体尺寸。此外，还测量了睫状沟与角到角之间的距离。建立了偏最小二乘（PLS）回归模型，以分析哪些变量对晶状体尺寸模型有影响。
最终分析纳入了62例患者的62只眼睛。晶状体直径比（水平与垂直）为0.93（标准差：0.04；0.83 - 1.00）。偏最小二乘回归显示水平直径与垂直直径之间存在显著关联（P < 0.001）。包含眼球直径和眼轴长度的偏最小二乘回归模型对水平晶状体直径的预测效果最佳。与水平晶状体直径类似，眼球直径是垂直晶状体直径的最佳预测指标，其次是睫状沟距离。发现白对白距离、睫状沟距离和眼轴长度对角到角距离有很大影响。
所引入的模型可作为在白内障手术或晶状体再填充手术的术前设置中预测囊袋生物特征的工具。
