Abstract
Background:The accuracy of using total keratometry(TK)value in recent IOL power calculation formulas in highly myopic eyes remained unknown.Methods:Highly myopic patients who underwent uneventful cataract surgery were prospectively enrolled in this prospective comparative study.At one month postoperatively,standard deviation(SD)of the prediction errors(PEs),mean and median absolute error(MedAE)of 103 highly myopic eyes were back-calculated and compared among ten formulas,including XGboost,RBF 3.0,Kane,Barrett Universal Ⅱ,Emmetropia Verifying Optical 2.0,Cooke K6,Haigis,SRK/T,and Wang-Koch modifications of Haigis and SRK/T formulas,using either TK or standard keratometry(K)value.Results:In highly myopic eyes,despite good agreement between TK and K(P＞0.05),larger differences between the two were associated with smaller central corneal thickness(P＜0.05).As to the refractive errors,TK method showed no differences compared to K method.The XGBoost,RBF 3.0 and Kane ranked top three when considering SDs of PEs.Using TK value,the XGboost calculator was comparable with the RBF 3.0 formula(P＞0.05),which both presented smaller MedAEs than others(all P＜0.05).As for the percentage of eyes within±0.50 Dor±0.75 D of PE,the XGBoost TK showed comparable percentages with the RBF 3.0 TK formula(74.76％vs.66.99％,or 90.29％vs.87.38％,P＞0.05),and statistically larger percentages than the other eight formulas(P＜0.05).Conclusions:Highly myopic eyes with thinner corneas tend to have larger differences between TK and K.The XGboost enhancement calculator and RBF 3.0 formula using TK showed the most promising outcomes in highly myopic eyes.
基金项目
国家自然科学基金(82122017)
国家自然科学基金(81870642)
国家自然科学基金(81970780)
国家自然科学基金(81670835)
Science and Technology Innovation Action Plan of Shanghai Science and Technology Commission(19441900700)
Science and Technology Innovation Action Plan of Shanghai Science and Technology Commission(21 S31904900)
Clinical Research Plan of Shanghai Shenkang Hospital Development Center(SHDC2020CR4078)
Clinical Research Plan of Shanghai Shenkang Hospital Development Center(SHDC12019X08)
Fudan University"Outstanding"Program(2025)()
NETL
NSTL
万方数据