OBJECTIVETo propose a method for predicting the postoperative anterior chamber depth value (ACD) based on the evaluation standard of contrast sensitivity function (CSF).

METHODSIn a personalized eye model, the natural lens was replaced with an artificial lens, and the tracing method based on ZEMAX software was utilized to simulate the pseudophakic optical system. The best MTF curve was obtained through optical optimization to calculate the CSF and determine the best contrast sensitivity (CS) curve. The best ACD value was acquired according to the CSF curve. The data form 10 cataract cases without retinal diseases were obtained and the postoperative ACD value was predicted using Holladay, Hoffer Q, SRK/T and the proposed method.

RESULTSConsistency analysis of the results showed that all the ACD values predicated by the 4 methods fell in 95% consistency within the boundaries, and the differences in the largest absolute value between the 3 methods (Holladay, Hoffer Q, and SRK/T) and the proposed method were 0.73 mm, 0.65 mm, and 0.68 mm, and the calculation results of the mean value were 5.846 mm, 5.804 mm, and 5.825 mm. Clinically, the two methods were deemed to have good consistency.

CONCLUSIONThe proposed method establishes a connection between the contrast sensitivity curve and ACD to allow better refraction adjustment for the patients.