Purpose Recently, laser refractive surgery options, including laser epithelial keratomileusis, laser in situ keratomileusis, and small incision lenticule extraction, successfully improved patients’ quality of life. Evidence-based recommendation for an optimal surgery technique is valuable in increasing patient satisfaction. We developed an interpretable multiclass machine learning model that selects the laser surgery option on the expert level. Methods A multiclass XGBoost model was constructed to classify patients into four categories including laser epithelial keratomileusis, laser in situ keratomileusis, small incision lenticule extraction, and contraindication groups. The analysis included 18,480 subjects who intended to undergo refractive surgery at the B&VIIT Eye center. Training (n = 10,561) and internal validation (n = 2640) were performed using subjects who visited between 2016 and 2017. The model was trained based on clinical decisions of highly experienced experts and ophthalmic measurements. External validation (n = 5279) was conducted using subjects who visited in 2018. The SHapley Additive ex-Planations technique was adopted to explain the output of the XGBoost model. Results The multiclass XGBoost model exhibited an accuracy of 81.0% and 78.9% when tested on the internal and external validation datasets, respectively. The SHapley Additive ex-Planations explanations for the results were consistent with prior knowledge from ophthalmologists. The explanation from one-versus-one and one-versus-rest XGBoost classifiers was effective for easily understanding users in the multicategorical classification problem. Conclusions This study suggests an expert-level multiclass machine learning model for selecting the refractive surgery for patients. It also provided a clinical understanding in a multiclass problem based on an explainable artificial intelligence technique. Translational Relevance Explainable machine learning exhibits a promising future for increasing the practical use of artificial intelligence in ophthalmic clinics.
Purpose The anterior chamber angle (ACA) is a critical factor in posterior chamber phakic intraocular lens (EVO Implantable Collamer Lens [ICL]) implantation. Herein, we predicted postoperative ACAs to select the optimal ICL size to reduce narrow ACA-related complications. Methods Regression models were constructed using pre-operative anterior segment optical coherence tomography metrics to predict postoperative ACAs, including trabecular-iris angles (TIAs) and scleral-spur angles (SSAs) at 500 µm and 750 µm from the scleral spur (TIA500, TIA750, SSA500, and SSA750). Data from three expert surgeons were assigned to the development ( N = 430 eyes) and internal validation ( N = 108 eyes) datasets. Additionally, data from a novice surgeon ( N = 42 eyes) were used for external validation. Results Postoperative ACAs were highly predictable using the machine-learning (ML) technique (extreme gradient boosting regression [XGBoost]), with mean absolute errors (MAEs) of 4.42 degrees, 3.77 degrees, 5.25 degrees, and 4.30 degrees for TIA500, TIA750, SSA500, and SSA750, respectively, in internal validation. External validation also showed MAEs of 3.93 degrees, 3.86 degrees, 5.02 degrees, and 4.74 degrees for TIA500, TIA750, SSA500, and SSA750, respectively. Linear regression using the pre-operative anterior chamber depth, anterior chamber width, crystalline lens rise, TIA, and ICL size also exhibited good performance, with no significant difference compared with XGBoost in the validation sets. Conclusions We developed linear regression and ML models to predict postoperative ACAs for ICL surgery anterior segment metrics. These will prevent surgeons from overlooking the risks associated with the narrowing of the ACA. Translational Relevance Using the proposed algorithms, surgeons can consider the postoperative ACAs to increase surgical accuracy and safety.
To compare the postoperative endothelial cell counts of EVO-implantable collamer lenses (ICLs) with a central hole (V4c and V5) and laser vision correction surgery (laser in situ keratomileusis or photorefractive keratectomy).
Purpose:To validate the possibility of IOLMaster measurement as a predictor of intraoperative and postoperative complications during phacoemulsification surgery. Methods: In this study, 2,107 eyes from 1,456 patients who underwent phacoemulsification with intraocular lens (IOL) implantation were divided into two groups according to the possibility of performing optical biometry with the IOLMaster (measurable group: 1,746 eyes from 1,141 patients, unmeasurable group: 361 eyes from 315 patients). The intraoperative and postoperative complication rates were compared between the two groups. Results: Three hundred sixty-one eyes (17.1%) could not be measured using optical biometry. Dense posterior subcapsular cataract (56.0%) was the main factor resulting in failed measurements with optical biometry, followed by anterior subcapsular cataract (12.5%). The rates of posterior capsule rupture and radial tear were significantly higher in the unmeasurable group than in the measurable group (p = 0.001, p < 0.001, respectively). Corneal edema was significantly higher in the unmeasurable group (16.1%) than in the measurable group (5.3%) at postoperative 1 week (p < 0.001). Conclusions: Possibility of optical biometry measurement can be used as a simple predictor of intraoperative and postoperative complications of phacoemulsification surgery. Surgeons should pay close attention to patients who cannot be measured using IOLMaster. J Korean Ophthalmol Soc 2017;58(7):804-810
Purpose:To report a case of cyclic exotropia in a pediatric patient. Case summary: There was a pediatric exotropia patient with large variation of prism diopter on alternate cover test at each visits. Not large enough for going through the surgery, she was recommended for the regular check-ups. Sometimes, she was orthophoria and some other times, distinct exotropia. After a few times of follow up, she showed 25-prism diopter exotropia on alternate cover test. The surgery was scheduled and she was admitted after 2 weeks. At the preoperative evaluation, she was orthophoria. She was discharged without having the surgery. To evaluate daily eyeball deviation status, the parents were asked to write a daily note on patient's eye condition. For 3-months, daily strabismus note was thoroughly reviewed and alternate cover test was performed monthly. Patch test was performed twice, and results were 10 and 12 prism diopter exotropia, each. Analyzing the note, a cycle of being the orthophoria and exotropia was noted. With the cycle of 72-hours, she was diagnosed with cyclic exotropia and the surgery was re-scheduled. Ulnilateral lateral rectus recession was performed. Without undercorrection or recurrence, she has been stayed stable over two years of follow up period.
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