1. Prediction of the trabecular iris angle after posterior chamber phakic intraocular lens implantation
- Author
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Yoko Yoshida, Naoki Isogai, Takashi Kojima, Takahiro Kataoka, Tomoya Nishida, and Tomoaki Nakamura
- Subjects
Systematic error ,Phakic Intraocular Lenses ,medicine.medical_specialty ,genetic structures ,Mean squared prediction error ,Iris ,Lens Implantation, Intraocular ,Optical coherence tomography ,Ophthalmology ,Linear regression ,Myopia ,medicine ,Humans ,cardiovascular diseases ,Iris (anatomy) ,Retrospective Studies ,Implantable collamer lens ,medicine.diagnostic_test ,business.industry ,Sensory Systems ,Posterior chamber phakic intraocular lens ,medicine.anatomical_structure ,Surgery ,Stepwise multiple regression analysis ,business ,Tomography, Optical Coherence - Abstract
Purpose To create an equation for predicting the trabecular iris angle (TIA) and to verify its accuracy after implantable collamer lens (ICL) implantation. Setting Nagoya Eye Clinic, Nagoya, Japan. Design Retrospective evaluation of a screening approach. Methods The subjects included 174 eyes (174 patients) that underwent ICL implantation. Patients were randomly assigned to the prediction equation group (116 eyes) or verification group (58 eyes). Anterior segment optical coherence tomography (AS-OCT; CASIA2 TOMEY) was performed before and 3 months after ICL surgery. For the prediction group, a prediction equation was created with the preoperative AS-OCT parameters and ICL size as independent variables and the postoperative anterior chamber depth (ACD) as dependent variables. Then, by applying the predicted post-ACD and preoperative AS-OCT parameters as independent variables and TIA after ICL surgery as the dependent variable, a prediction equation was created to predict the postoperative TIA (post-TIA) after ICL surgery. Each prediction equation was created using stepwise multiple regression analysis, and its accuracy was verified by a Bland-Altman plot in the verification group. Results The explanatory variables (standardized partial regression coefficient) selected in the post-TIA prediction equation were post-ACD (0.629), TIA750 (0.563), iris curvature (0.353), pupil diameter (-0.281), iris area (-0.249), and trabecular iris space area 250 (-0.171) (R2 = 0.646). There were no clinically significant systematic errors between measured and predictive post-TIA values in the verification group. The average absolute prediction error was 3.43° ± 2.22°. Conclusions Post-TIA can be accurately predicted from the predicted post-ACD and other preoperative AS-OCT parameters.
- Published
- 2022
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