J Refract Surg. 2020 Jul 1;36(7):466-472. doi: 10.3928/1081597X-20200514-02.
To investigate the accuracy of intraocular lens (IOL) power calculation formulas using swept-source optical coherence tomography (SS-OCT).
Eyes with biometry measurement by IOLMaster 700 (Carl Zeiss Meditec AG), uncomplicated phacoemulsification, and IOL implantation were enrolled in this retrospective study. Newly released artificial intelligence-based formulas including Hill-Radial Basis Function (RBF) 2.0, Kane, and PEARL-DGS were compared with Gaussian optics-based standard formulas. The refraction predicted by each formula was compared with the actual refractive outcome in spherical equivalent.
A total of 410 eyes of 410 patients were included in this study. Using optimized constants for SS-OCT biometry led to a significant decrease in median absolute error (MedAE) for Barrett, Haigis, and Hoffer Q formulas compared with using User Group for Laser Interference Biometry constants (P < .05). Overall, Olsen (0.283 diopters [D]) and Kane (0.286 D) formulas had significantly lower MedAEs than RBF 2.0 (0.314 D), Haigis (0.322 D), SRK/T (0.371 D), Holladay 1 (0.376 D), and Hoffer Q (0.379 D) formulas under constant optimization (P < .05). The first four formulas with the lowest standard deviations of prediction error were Kane (0.451 D), Olsen (0.456 D), EVO 2.0 (0.460 D), and Barrett (0.470 D). Olsen (47.1%), Barrett (45.9%), Kane (45.4%), and EVO 2.0 (45.1%) formulas had greater proportions of eyes within ±0.25 D of the predicted refraction than Hoffer Q (35.9%), SRK/T (35.9%), and Holladay 1 (33.4%) formulas (P < .05).
Constant optimization for SS-OCT biometry further improves the performance of formulas. The most accurate prediction of postoperative refraction can be achieved with Barrett, EVO 2.0, Kane, and Olsen formulas. [J Refract Surg. 2020;36(7):466-472.].
研究应用扫频源光相干断层扫描（SS-OCT）对人工晶状体（IOL）屈光力计算公式的准确性。
本回顾性研究纳入了接受 IOLMaster 700（卡尔蔡司医疗技术公司）生物测量、单纯超声乳化白内障吸除术和 IOL 植入术的患者。与基于高斯光学的标准公式相比，比较了新发布的基于人工智能的公式，包括 Hill-Radial Basis Function（RBF）2.0、Kane 和 PEARL-DGS。每个公式预测的屈光度与实际等效球镜的屈光结果进行比较。
本研究共纳入 410 例 410 只眼。与使用用户组激光干涉生物测量常数相比，使用 SS-OCT 生物测量优化常数可显著降低 Barrett、Haigis 和 Hoffer Q 公式的中位数绝对误差（MedAE）（P<.05）。总体而言，Olsen（0.283 屈光度[D]）和 Kane（0.286 D）公式的 MedAE 显著低于 RBF 2.0（0.314 D）、Haigis（0.322 D）、SRK/T（0.371 D）、Holladay 1（0.376 D）和 Hoffer Q（0.379 D）公式，在恒定优化条件下（P<.05）。预测误差标准差最小的前四个公式分别为 Kane（0.451 D）、Olsen（0.456 D）、EVO 2.0（0.460 D）和 Barrett（0.470 D）。Olsen（47.1%）、Barrett（45.9%）、Kane（45.4%）和 EVO 2.0（45.1%）公式的预测折射误差在±0.25 D 内的眼数比例大于 Hoffer Q（35.9%）、SRK/T（35.9%）和 Holladay 1（33.4%）公式（P<.05）。
SS-OCT 生物测量的常数优化进一步提高了公式的性能。Barrett、EVO 2.0、Kane 和 Olsen 公式可以实现术后屈光度预测的最准确。[J Refract Surg. 2020;36(7):466-472.]。
