Estimation of effective lens position using a method independent of preoperative keratometry readings

Dooley, Ian; Charalampidou, Sofia; Nolan, John M.; Loughman, James; Molloy, Laura; Beatty, Stephen

doi:10.1016/j.jcrs.2010.09.027

Cited by 12 publications

(5 citation statements)

References 27 publications

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“…Pereira et al [27] also found that the distance between the iris and IOL was increased over a period after cataract surgery, and the same result was observed by OCT in the anterior segment [31]. Although it is difficult to estimate the ELP after cataract surgery, researchers are still seeking a solution [9, 32, 33]. A recent study showed that the preoperative ACD demonstrated the greatest influence on the IOL calculation formulas, and the postoperative change in the ACD correlated significantly with errors of third generation formulas according to a simulated ACD [34].…”

Section: Discussionmentioning

confidence: 94%

Anterior chamber depth — a predictor of refractive outcomes after age-related cataract surgery

et al. 2019

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Background Anterior chamber depth (ACD) is becoming a hot topic and plays an important role in correcting the refractive errors (REs) after cataract surgery. The aim of this study was to assess the ACD changes and their relationship with the REs after phacoemulsification and intraocular lens (IOL) implantation in patients with age-related cataracts. Methods One hundred forty-five eyes of 125 age-related cataract patients from the Department of Ophthalmology, Tangdu Hospital, China, were recruited. IOL Master was used for axial length (AL) and the IOL power calculation measurements, and the Pentacam HR device was used for the ACD and lens thickness (LT) measurements. Every patient underwent uncomplicated phacoemulsification by a single surgeon using a single technique. Postoperative refraction results were obtained at 1 month. The appropriate formula used for the IOL power calculation was chosen depending on the AL, specifically the Hoffer Q (AL < 22.0 mm), SRK/T (22.0 mm ≤ AL ≤ 30.0 mm), and Haigis (AL > 30.0 mm) formulas. Results The postoperative ACD was deepened and tended to stabilize gradually after 2 weeks. A concurrent hyperopic shift (0.57 ± 0.47 D) was observed when the change in the ACD was less than 1.65 mm, whereas a myopic shift (− 0.18 ± 0.62 D) occurred contrarily, and the difference between the two groups was statistically significant ( P < 0.0001). The change in ACD was significantly larger in the shallow anterior chamber (1.92 ± 0.40 mm) than in the deep chamber (1.33 ± 0.42 mm) ( P < 0.0001). Similarly, the change in ACD was larger in the short AL (2.12 ± 0.37 mm) than in the long AL (1.32 ± 0.49 mm). The postoperative ACD and refractive changes were correlated with the preoperative ACD and AL ( P < 0.0001), respectively. Two regression formulas were proposed: postoperative ACD = 3.524 + 0.294 × preoperative ACD and postoperative ACD = 3.361 + 0.228× (preoperative ACD + 1/2 LT). Conclusions The results of this study showed that the ACD deepened and was associated with a concurrent RE after cataract surgery. Postoperative changes in the ACD were related to the preoperative ACD and AL, which determined the refraction status and visual quality. The regression formula of the postoperative ACD could provide a theoretical basis for predicting refractive errors in the clinic.

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Section: Discussionmentioning

confidence: 94%

Anterior chamber depth — a predictor of refractive outcomes after age-related cataract surgery

et al. 2019

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“…ELP remains a challenge to predict even with IOLs placed in the capsular bag. 7,8 ELP in the Yamane technique is likely dependent on a number of different variables such as distance of sclerotomies from the limbus, white-to-white distance, length of haptic cauterized, and any shortening of haptic tips beyond the initial cautery than those with standard in-the-bag placed IOLs.…”

Section: Discussionmentioning

confidence: 99%

Accuracy of intraocular lens calculation formulas for flanged intrascleral intraocular lens fixation with double-needle technique

McMillin

Wang

et al. 2021

J Cataract Refract Surg

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“…Because of challenges in accurately assessing corneal power in postrefractive surgery patients, we investigated a keratometry-independent (K-independent) approach to the prediction of postoperative ACD as well. Our method outperformed a previously reported method for K-independent prediction of ACD 19 and may be applicable in new methods for IOL power calculation in patients with prior refractive surgery. Performance of this K-independent model was not significantly different for patients with or without prior refractive surgery, indicating its applicability to the postrefractive surgery population.…”

Section: Discussionmentioning

confidence: 57%

Gradient Boosting Decision Tree Algorithm for the Prediction of Postoperative Intraocular Lens Position in Cataract Surgery

Yang

Stein

et al. 2020

Trans. Vis. Sci. Tech.

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Purpose To develop a method for predicting postoperative anterior chamber depth (ACD) in cataract surgery patients based on preoperative biometry, demographics, and intraocular lens (IOL) power. Methods Patients who underwent cataract surgery and had both preoperative and postoperative biometry measurements were included. Patient demographics and IOL power were collected from the Sight Outcomes Research Collaborative (SOURCE) database. A gradient-boosting decision tree model was developed to predict the postoperative ACD. The mean absolute error (MAE) and median absolute error (MedAE) were used as evaluation metrics. The performance of the proposed method was compared with five existing formulas. Results In total, 847 patients were assigned randomly in a 4:1 ratio to a training/validation set (678 patients) and a testing set (169 patients). Using preoperative biometry and patient sex as predictors, the presented method achieved an MAE of 0.106 ± 0.098 (SD) on the testing set, and a MedAE of 0.082. MAE was significantly lower than that of the five existing methods ( P < 0.01). When keratometry was excluded, our method attained an MAE of 0.123 ± 0.109, and a MedAE of 0.093. When IOL power was used as an additional predictor, our method achieved an MAE of 0.105 ± 0.091 and a MedAE of 0.080. Conclusions The presented machine learning method achieved greater accuracy than previously reported methods for the prediction of postoperative ACD. Translational Relevance Increasing accuracy of postoperative ACD prediction with the presented algorithm has the potential to improve refractive outcomes in cataract surgery.

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Estimation of effective lens position using a method independent of preoperative keratometry readings

Cited by 12 publications

References 27 publications

Anterior chamber depth — a predictor of refractive outcomes after age-related cataract surgery

Anterior chamber depth — a predictor of refractive outcomes after age-related cataract surgery

Accuracy of intraocular lens calculation formulas for flanged intrascleral intraocular lens fixation with double-needle technique

Gradient Boosting Decision Tree Algorithm for the Prediction of Postoperative Intraocular Lens Position in Cataract Surgery

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