IRIS(生物传感器)
结束语(心理学)
职位(财务)
眼科
镜头(地质)
医学
验光服务
光学
计算机科学
人工智能
物理
经济
财务
市场经济
生物识别
作者
Yujie J. Ding,Min Hou,Liangping Liu,Yan Mao,Xing Liu,Mingxing Wu
标识
DOI:10.1097/j.jcrs.0000000000001174
摘要
Abstract Purpose: To evaluate role of a new parameter, iris root depth (IRD), in intraocular lens power calculation using ultrasound biomicroscopy (UBM) in primary angle-closure diseases (PACDs). And to compare the accuracy of six formulas Barrett Universal II (BUII), Haigis, Hill-Radial Basis Function (RBF) Version 3.0, Hoffer Q, Kane and Sanders Retzlaff Kraff/Theoretical (SRK)/T in PACDs. Setting: Zhongshan Ophthalmic Center, Guangzhou, China. Design: Retrospective consecutive case series. Methods: Patients diagnosed with PACDs and undergone cataract surgery were reviewed to evaluate performance of six formulas firstly. Then preoperative UBM examinations of 58 eyes were used to measure IRD and predict effective lens position (ELP) to generate the Haigis IRD formula. The accuracy of Haigis IRD was compared with BUII, Haigis and Kane formulas. The standard deviation (SD) of predicted error was the main indicator evaluating formula performance, according to heteroscedastic analysis. Results: A total of 103 eyes (103 patients) were included. The SDs of Kane (0.59, P = 0.01), RBF 3.0 (0.61, P = 0.02) and SRK/T formula (0.62, P = 0.04) were significantly lower than Hoffer Q. Modified with IRD, Haigis IRD generated the lowest SD (0.41), which was significantly lower than Haigis formula (0.54, P = 0.03) and was equal to Kane formula (0.45, P = 0.37). Conclusions: Kane, RBF 3.0 and SRK/T were more accurate in PACD eyes. Optimized with IRD, Haigis IRD formula achieved the lowest SD and had comparable accuracy with Kane formula. IRD could be a promising parameter to improve accuracy of IOL power calculation for PACDs.
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