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常见视网膜血管管径测量软件与一种转换算法的比较

Comparison of Common Retinal Vessel Caliber Measurement Software and a Conversion Algorithm.

作者信息

Yip WanFen, Tham Yih Chung, Hsu Wynne, Lee Mong Li, Klein Ronald, Klein Barbara, Ikram Mohammad Kamran, Wong Tien Yin, Cheung Carol Yim-Lui

机构信息

Singapore Eye Research Institute, Singapore National Eye Centre, Singapore ; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore.

School of Computing, National University of Singapore, Singapore.

出版信息

Transl Vis Sci Technol. 2016 Oct 12;5(5):11. doi: 10.1167/tvst.5.5.11. eCollection 2016 Oct.

DOI:10.1167/tvst.5.5.11
PMID:27752402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5063055/
Abstract

PURPOSE

To compare three commonly used retinal vessel caliber measurement software systems, and propose an algorithm for conversion between measurement systems.

METHODS

We used 120 retinal photographs to evaluate the agreement between three commonly used software (Retinal Analysis [RA], Integrative Vessel Analysis [IVAN], and Singapore I Vessel Assessment [SIVA]). Bland-Altman plots were used to evaluate agreement of retinal arteriolar (central retinal artery equivalent, CRAE) and venular (central retinal vein equivalent, CRVE) calibers. Pearson's correlation was used to assess the associations between systemic factors and retinal vessel calibers, and Z-test was used to compare the strength of the correlation coefficients across the three software systems. An algorithm was created to convert measurements, with paired -test performed to evaluate the differences between SIVA-measured retinal calibers and SIVA-approximates converted from RA- and IVAN-measurements using the algorithm.

RESULTS

Differences between SIVA- and RA-measured calibers (CRAE: mean difference [MD] = -21.8 μm, 95% limits of agreement [LOA], -47.3 to 3.7 μm; CRVE: MD = -7.7 μm, 95% LOA, -28.0 to 12.6 μm), SIVA- and IVAN-measured calibers (CRAE: MD = -6.7 μm, 95% LOA, -23.8 to 10.4 μm; CRVE: MD = -18.2 μm 95% LOA, -36.7 to 0.4 μm) were large. However, the strength of correlations between systemic factors with SIVA-measured retinal calibers was not significantly different to that measured using RA and IVAN ( ≥ 0.332). SIVA-approximates converted from RA and IVAN measurements using the proposed algorithm was not significantly different from SIVA-measured calibers ( ≥ 0.20).

CONCLUSION

Absolute measurements of retinal vessel calibers vary between three common software systems but associations with systemic factors were similar.

TRANSLATIONAL RELEVANCE

The proposed algorithm allowed conversions of RA and IVAN measurements to SIVA-approximates. This conversion is important for future data pooling and establishment of normative values for retinal vascular caliber measurements.

摘要

目的

比较三种常用的视网膜血管管径测量软件系统,并提出一种测量系统间的转换算法。

方法

我们使用120张视网膜照片来评估三种常用软件(视网膜分析[RA]、综合血管分析[IVAN]和新加坡I血管评估[SIVA])之间的一致性。采用Bland-Altman图评估视网膜小动脉(视网膜中央动脉等效值,CRAE)和小静脉(视网膜中央静脉等效值,CRVE)管径的一致性。采用Pearson相关性分析评估全身因素与视网膜血管管径之间的关联,并使用Z检验比较三种软件系统间相关系数的强度。创建一种算法来转换测量值,并采用配对检验评估使用该算法从RA和IVAN测量值转换得到的SIVA近似值与SIVA测量的视网膜管径之间的差异。

结果

SIVA与RA测量的管径之间存在差异(CRAE:平均差异[MD]= -21.8μm,95%一致性界限[LOA],-47.3至3.7μm;CRVE:MD = -7.7μm,95% LOA,-28.0至12.6μm),SIVA与IVAN测量的管径之间也存在差异(CRAE:MD = -6.7μm,95% LOA,-23.8至10.4μm;CRVE:MD = -18.2μm,95% LOA,-36.7至0.4μm)。然而,全身因素与SIVA测量的视网膜管径之间的相关强度与使用RA和IVAN测量的结果相比无显著差异(≥0.332)。使用所提出算法从RA和IVAN测量值转换得到的SIVA近似值与SIVA测量的管径无显著差异(≥0.20)。

结论

三种常用软件系统对视网膜血管管径的绝对测量值有所不同,但与全身因素的关联相似。

转化相关性

所提出的算法可将RA和IVAN测量值转换为SIVA近似值。这种转换对于未来的数据汇总以及建立视网膜血管管径测量的规范值具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/ef5bb608d2fc/i2164-2591-5-5-11-f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/306d1d3375d1/i2164-2591-5-5-11-f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/6dd320363950/i2164-2591-5-5-11-f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/b0e0813c7244/i2164-2591-5-5-11-f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/e4ef90796cca/i2164-2591-5-5-11-f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/4352a2d77c33/i2164-2591-5-5-11-f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/ef5bb608d2fc/i2164-2591-5-5-11-f06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/306d1d3375d1/i2164-2591-5-5-11-f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/6dd320363950/i2164-2591-5-5-11-f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/b0e0813c7244/i2164-2591-5-5-11-f03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/e4ef90796cca/i2164-2591-5-5-11-f04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/4352a2d77c33/i2164-2591-5-5-11-f05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/45ba/5063055/ef5bb608d2fc/i2164-2591-5-5-11-f06.jpg

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