2011和2017型号海德堡光谱SD-OCT机器的再现性和图像质量的计算分析

Kyoung A Viola Lee , Corey Tesdahl , Keith Zimmerman , Kimberly Jun , Sabrina Khalil , Alexander Shahin , Abdullah Abou-Samra , Ramesh Ayyala , Radouil Tzekov
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引用次数: 0

摘要

目的评估两代Spectralis光谱域光学相干断层扫描(SD-OCT)仪器(旧OCT: 2011,新OCT: 2017)测量视网膜总厚度(TRT)的完整性、可重复性和图像质量。设计前瞻性队列研究,评估两次就诊的TRT测量值。受试者和参与者14名健康个体(28只眼睛,年龄范围:22-54岁)使用新旧OCT模型进行TRT测量,每只眼睛每次就诊接受三次连续扫描。方法和测试使用后极算法(PPA)和早期治疗糖尿病视网膜病变研究(ETDRS)网格方案进行trt测量。采用平均两两Pearson相关性(APPC)评价再现性,采用信噪比(SNR)和噪声对比比(CNR)评价图像质量。通过Bland-Altman图分析设备之间的一致性,并使用热图可视化空间变异性。采用主成分分析(PCA)和多维尺度分析(MDS)等降维技术对数据模式进行分析。主要结果测量:TRT测量的再现性,图像质量,以及两个OCT模型之间的一致程度。结果新旧OCT模型均具有较高的重现性(APPC: 0.995 ~ 0.998)。虽然OCT模型之间的再现性没有统计学意义差异,但图像质量分析显示,新OCT仅在左眼具有优越的信噪比和CNR值,并且有显着改善(CNR: p = 0.0040;访视1时信噪比:p = 0.0383)。Bland-Altman分析证实了强烈的一致性,New oct热图分析的平均差异最小,一致性范围更窄,表明鼻视网膜区域的患者间变异性更大,而两种设备的患者内部变异性一直很低(<1%)。主成分分析和MDS图证实了测量结果的重复性。两种SD-OCT模型都提供了可靠和一致的TRT测量,新OCT的图像质量略有提高。然而,新OCT的再现性并没有明显优于旧OCT,支持在临床环境中使用这两种设备进行准确的TRT评估。可能需要进一步的研究来评估病理条件下的这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines

Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines

Purpose

Evaluate the integrity, reproducibility, and image quality of total retinal thickness (TRT) measurements between two generations of Spectralis Spectral Domain Optical Coherence Tomography (SD-OCT) instruments (Old OCT: 2011, New OCT: 2017).

Design

Prospective cohort study evaluating TRT measurements across two visits.

Subjects and participants

Fourteen healthy individuals (28 eyes, age range: 22-54 years) underwent TRT measurements using both Old and New OCT models, with each eye receiving three consecutive scans per visit.

Methods and testing

TRT measurements were performed using the Posterior Pole Algorithm (PPA) and Early Treatment Diabetic Retinopathy Study (ETDRS) grid protocols. Reproducibility was evaluated using Average Pairwise Pearson Correlation (APPC), while image quality was measured by Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR). Agreement between the devices was analyzed through Bland-Altman plots, and spatial variability was visualized using heatmaps. The dimensionality reduction techniques Principal Component Analysis (PCA) and Multidimensional Scaling (MDS) were employed to explore data patterns.

Main outcome measures

Reproducibility of TRT measurements, image quality, and the degree of agreement between the two OCT models.

Results

Both the Old and New OCT models demonstrated high reproducibility (APPC: 0.995-0.998). While there was not a statistically significance difference in reproducibility between the OCT models, image quality analysis revealed superior SNR and CNR values for the New OCT in the left eye only, with significant improvements noted (CNR: p = 0.0040 at Visit 2; SNR: p = 0.0383 at Visit 1). Bland-Altman analysis confirmed strong agreement, with minimal mean differences and narrower limits of agreement for the New OCT. Heatmap analysis indicated greater inter-patient variability in the nasal retinal regions, while intra-patient variability was consistently low (<1%) across both devices. PCA and MDS plots affirmed the reproducibility of measurements.

Conclusions

Both SD-OCT models provide reliable and consistent TRT measurements, with the New OCT offering marginally enhanced image quality. However, the reproducibility of the New OCT does not significantly outperform the Old OCT, supporting the use of both devices for accurate TRT assessment in clinical settings. Further studies may be required to evaluate these findings in pathological conditions.
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