Singapore Eye Research Institute, Singapore.
Singapore National Eye Centre, Singapore.
Br J Ophthalmol. 2022 Jul;106(7):962-969. doi: 10.1136/bjophthalmol-2020-317756. Epub 2021 Feb 15.
To evaluate the effect of signal strength (SS) on optical coherence tomography (OCT) parameters, and devise an algorithm to adjust the effect, when acceptable SS cannot be obtained.
5085 individuals (9582 eyes), aged ≥40 years from the Singapore Epidemiology of Eye Diseases population-based study were included. Everyone underwent a standardised ocular examination and imaging with Cirrus HD-OCT. Effect of SS was evaluated using multiple structural breaks linear mixed-effect models. Expected change for increment in SS between 4 and 10 for individual parameter was calculated. Subsequently we devised and evaluated an algorithm to adjust OCT parameters to higher SS.
Average retinal nerve fibre layer (RNFL) thickness showed shift of 4.11 µm from SS of 5 to 6. Above 6, it increased by 1.72 and 3.35 µm to 7 and 8; and by 1.09 µm (per unit increase) above 8 SS. Average ganglion cell-inner plexiform layer (GCIPL) thickness shifted 5.15 µm from SS of 5 to 6. Above 6, increased by 0.94 µm from 7 to 8; and by 0.16 µm (per unit increase) above 8 SS. When compared with reference in an independent test set, the algorithm produced less systemic bias. Algorithm-adjusted average RNFL was 0.549 µm thinner than the reference, while the unadjusted one was 2.841 µm thinner (p<0.001). Algorithm-adjusted and unadjusted average GCIPL was 1.102 µm and 2.228 µm thinner (p<0.001).
OCT parameters can be adjusted for poor SS using an algorithm. This can potentially assist in diagnosis and monitoring of glaucoma when scans with acceptable SS cannot be acquired from patients in clinics.
评估信号强度(SS)对光学相干断层扫描(OCT)参数的影响,并设计一种算法,在无法获得可接受的 SS 时调整该影响。
纳入了来自新加坡眼病流行病学人群研究的 5085 名(9582 只眼)年龄≥40 岁的个体。每个人都接受了标准化的眼部检查和 Cirrus HD-OCT 成像。使用多个结构断裂线性混合效应模型评估 SS 的影响。计算了个体参数的 SS 从 4 增加到 10 时的预期增量变化。随后,我们设计并评估了一种调整 OCT 参数以适应更高 SS 的算法。
平均视网膜神经纤维层(RNFL)厚度从 SS 为 5 增加到 6 时,会发生 4.11µm 的偏移。超过 6 时,增加 1.72 和 3.35µm 分别至 7 和 8;超过 8 时,SS 每增加 1µm 增加 1.09µm。平均神经节细胞-内丛状层(GCIPL)厚度从 SS 为 5 增加到 6 时,偏移 5.15µm。超过 6 时,从 7 增加到 8 时增加 0.94µm;超过 8 时,SS 每增加 1µm 增加 0.16µm。在一个独立的测试集中,与参考值相比,该算法产生的系统偏差较小。算法调整后的平均 RNFL 比参考值薄 0.549µm,而未经调整的平均 RNFL 薄 2.841µm(p<0.001)。算法调整后的和未经调整的平均 GCIPL 分别薄 1.102µm 和 2.228µm(p<0.001)。
可以使用算法调整 SS 较差的 OCT 参数。当无法从诊所中的患者获得可接受的 SS 时,这可能有助于诊断和监测青光眼。