Moult Eric M, Shi Yingying, Zhang Qinqin, Wang Liang, Mazumder Rahul, Chen Siyu, Chu Zhongdi, Feuer William, Waheed Nadia K, Gregori Giovanni, Wang Ruikang K, Rosenfeld Philip J, Fujimoto James G
Department of Electrical Engineering and Computer Science, Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA.
Health Sciences and Technology, Harvard & Massachusetts Institute of Technology, Cambridge, MA 02139-4307, USA.
Biomed Opt Express. 2021 Jul 1;12(7):4573-4595. doi: 10.1364/BOE.427819.
The purpose of this study is to quantitatively assess correlations between local geographic atrophy (GA) growth rates and local optical coherence tomography angiography (OCTA)-measured choriocapillaris (CC) flow deficits. Thirty-eight eyes from 27 patients with GA secondary to age-related macular degeneration (AMD) were imaged with a commercial 1050 nm swept-source OCTA instrument at 3 visits, each separated by ∼6 months. Pearson correlations were computed between local GA growth rates, estimated using a biophysical GA growth model, and local OCTA CC flow deficit percentages measured along the GA margins of the baseline visits. The p-values associated with the null hypothesis of no Pearson correlation were estimated using a Monte Carlo permutation scheme that incorporates the effects of spatial autocorrelation. The null hypothesis (Pearson's = 0) was rejected at a Benjamini-Hochberg false discovery rate of 0.2 in 15 of the 114 visit pairs, 11 of which exhibited positive correlations; even amongst these 11 visit pairs, correlations were modest ( in [0.30, 0.53]). The presented framework appears well suited to evaluating other potential imaging biomarkers of local GA growth rates.
本研究的目的是定量评估局部地理性萎缩(GA)生长速率与局部光学相干断层扫描血管造影(OCTA)测量的脉络膜毛细血管(CC)血流缺损之间的相关性。对27例年龄相关性黄斑变性(AMD)继发GA的患者的38只眼睛,使用商用1050 nm扫频源OCTA仪器在3次就诊时进行成像,每次就诊间隔约6个月。使用生物物理GA生长模型估计局部GA生长速率,并与在基线就诊时沿GA边缘测量的局部OCTA CC血流缺损百分比之间计算Pearson相关性。使用纳入空间自相关效应的蒙特卡罗置换方案估计与无Pearson相关性的零假设相关的p值。在114对就诊数据中,有15对在Benjamini-Hochberg错误发现率为0.2时拒绝了零假设(Pearson相关系数=0),其中11对呈现正相关;即使在这11对就诊数据中,相关性也较弱(相关系数在[0.30, 0.53]之间)。所提出的框架似乎非常适合评估局部GA生长速率的其他潜在成像生物标志物。