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Kyu-yeon Hwang, Young-Sik Yoo, Choun-Ki Joo, Geunyoung Yoon; New Parameter for Predicting the Postoperative IOL Position: Preoperative Lens Equator Depth measured By Three-Dimentional Anterior Segment Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):1356.
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We tested the hypothesis that the preoperative crystalline lens equator depth (pre-LED) measured by three-dimensional anterior segment optical coherence tomography (OCT) is an effective predictor of the postoperative anterior chamber depth (post-ACD).
Thirty-nine eyes that underwent phacoemulsification and implantation of a one-piece, plate-haptic Intraocular lens between December 2013 and June 2014 were examined to develop the new algorithm for predicting the post-ACD. The pre-LED was defined as the depth from the back surface of central cornea to the line connecting the intersecting points between the anterior and posterior capsule intraoperatively using 3-D OCT in Catalys (Abbott Medical Optics). The post-ACD was measured by Pentacam (Oculus) in each case at 2 months postoperatively and was analyzed by multiple linear regression for covariance with preoperatively defined variables including the pre-LED, lens thickness, lens vaulting measured by the OCT and the preoperative ACD (pre-ACD) measured by the OCT and Pentacam.
The mean pre-ACD, pre-LED, AL, lens thickness and lens vaulting was 2.74±0.50 mm (range, 1.75-3.36); 4.14±0.35 mm (range, 3.36-5.91); 23.97±1.37 mm (range, 21.89-27.63), 4.23±0.46 mm (range, 3.01-5.12) and 1.42±0.27 mm (range, 0.82-1.89). Single regression analysis showed significant correlations between the post-ACD and pre-LED, R2 = 0.468, P<0.001; pre-ACD, R2 = 0.379, P<0.001) Using a new regression formula with the two most significant variables (pre-LED and pre-ACD), the post-ACD can be predicted with an accuracy of 47.3% . In the prospective study, the postoperative ACD was predicted with a correlation coefficient of 0.696.<br /> <br />
The crystalline lens equator depth may be a promising preoperative parameter to predict the postoperative IOL position.
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