Moult Eric M, Shi Yingying, Wang Liang, Chen Siyu, Waheed Nadia K, Gregori Giovanni, Rosenfeld Philip J, Fujimoto James G
Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Health Sciences and Technology, Harvard & Massachusetts Institute of Technology, Cambridge, Massachusetts.
Ophthalmol Sci. 2022 Apr 14;2(3):100156. doi: 10.1016/j.xops.2022.100156. eCollection 2022 Sep.
To compare the accuracies of the previously proposed square-root-transformed and perimeter-adjusted metrics for estimating length-type geographic atrophy (GA) growth rates.
Cross-sectional and simulation-based study.
Thirty-eight eyes with GA from 27 patients.
We used a previously developed atrophy-front growth model to provide analytical and numerical evaluations of the square-root-transformed and perimeter-adjusted growth rate metrics on simulated and semisimulated GA growth data.
Comparison of the accuracies of the square-root-transformed and perimeter-adjusted metrics on simulated and semisimulated GA growth data.
Analytical and numerical evaluations showed that the accuracy of the perimeter-adjusted metric is affected minimally by baseline lesion area, focality, and circularity over a wide range of GA growth rates. Average absolute errors of the perimeter-adjusted metric were approximately 20 times lower than those of the square-root-transformed metrics, per evaluation on a semisimulated dataset with growth rate characteristics matching clinically observed data.
Length-type growth rates have an intuitive, biophysical interpretation that is independent of lesion geometry, which supports their use in clinical trials of GA therapeutics. Taken in the context of prior studies, our analyses suggest that length-type GA growth rates should be measured using the perimeter-adjusted metric, rather than square-root-transformed metrics.
比较先前提出的平方根变换和周长调整指标在估计长度型地理性萎缩(GA)增长率方面的准确性。
横断面和基于模拟的研究。
来自27名患者的38只患有GA的眼睛。
我们使用先前开发的萎缩前沿生长模型,对模拟和半模拟的GA生长数据上的平方根变换和周长调整增长率指标进行分析和数值评估。
比较模拟和半模拟GA生长数据上平方根变换和周长调整指标的准确性。
分析和数值评估表明,在广泛的GA增长率范围内,周长调整指标的准确性受基线病变面积、局灶性和圆形度的影响最小。在具有与临床观察数据相匹配的增长率特征的半模拟数据集上进行每次评估时,周长调整指标的平均绝对误差比平方根变换指标低约20倍。
长度型增长率具有直观的生物物理学解释,且独立于病变几何形状,这支持其在GA治疗临床试验中的应用。结合先前的研究,我们的分析表明,应使用周长调整指标而非平方根变换指标来测量长度型GA增长率。