Background Many surgical formulas have been developed and proposed based on the experience of surgeons to improve the predictability of strabismus surgery. However, the consent among strabismus surgeons regarding the dose effect of the extraocular muscle (EOM) recession or resection was not achieved yet and the disagreement about the appropriate amount of strabismus surgery still exists. Objective Our study aimed to propose an instrument for EOM resection (RsL) and recession length (RcL) estimation before the surgery and second to elaborate an postoperative angle of deviation (PAD) predictive model using simple potential predictors. Methods and Analysis The analytical prospective clinical study was conducted from April 2016 to July 2019, on a sample of 216 patients (aged between 2–58) with concomitant strabismus who underwent strabismus surgery in Clinical Republican Hospital ‘Timofei Mosneaga’and Children Hospital ‘Em Cotaga’ from Republic of Moldova. The correlations of patients’ age, strabismus type, amblyopia degree, RsL, RcL, preoperative angle of deviation (PreAD) with PAD were estimated using Pearson’s correlation analysis. Multiple linear regression analysis, multicollinearity analysis and residual analysis were performed. Results The EOM RsL was predicted using strabismus type, patient’s age, PreAD and EOM RcL. EOM RcL, in turn, was estimated by the similar covariates set, instead of RcL being RsL. PAD modelling showed the PreAD, EOM RsL and EOM RcL predictive ability for strabismus surgery outcome prediction. Conclusion In our study, we propose four mathematical models as potential instruments for EOM RsL, EOM RcL and PAD modelling in esotropia and exotropia surgery. Data are available on reasonable request.

中文翻译：

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斜视治疗中的眼外肌切除、后退长度和手术结果建模：一项初步研究

背景已经根据外科医生的经验开发和提出了许多手术公式，以提高斜视手术的可预测性。然而，斜视外科医生尚未就眼外肌（EOM）退缩或切除的剂量效应达成共识，关于适当的斜视手术量仍存在分歧。目的 我们的研究旨在提出一种用于术前 EOM 切除 (RsL) 和退缩长度 (RcL) 估计的工具，其次是使用简单的潜在预测因子来阐述术后偏差角 (PAD) 预测模型。方法与分析 分析性前瞻性临床研究于 2016 年 4 月至 2019 年 7 月进行，在摩尔多瓦共和国临床共和党医院'Timofei Mosneaga'和儿童医院'Em Cotaga'接受斜视手术的216名患者（年龄在2-58岁之间）的样本中。采用Pearson相关分析估计患者年龄、斜视类型、弱视程度、RsL、RcL、术前偏角（PreAD）与PAD的相关性。进行多元线性回归分析、多重共线性分析和残差分析。结果 使用斜视类型、患者年龄、PreAD 和 EOM RcL 预测 EOM RsL。反过来，EOM RcL 由相似的协变量集估计，而不是 RcL 是 RsL。PAD 模型显示了 PreAD、EOM RsL 和 EOM RcL 对斜视手术结果预测的预测能力。结论 在我们的研究中，我们提出了四种数学模型作为内斜视和外斜视手术中 EOM RsL、EOM RcL 和 PAD 建模的潜在工具。可根据合理要求提供数据。