scholarly journals Automation improves repeatability of retinal oximetry measurements

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260120
Author(s):  
Robert Arnar Karlsson ◽  
Olof Birna Olafsdottir ◽  
Vedis Helgadottir ◽  
Soumaya Belhadj ◽  
Thorunn Scheving Eliasdottir ◽  
...  

Purpose Retinal oximetry is a technique based on spectrophotometry where images are analyzed with software capable of calculating vessel oxygen saturation and vessel diameter. In this study, the effect of automation of measurements of retinal vessel oxygen saturation and vessel diameter is explored. Methods Until now, operators have had to choose each vessel segment to be measured explicitly. A new, automatic version of the software automatically selects the vessels once the operator defines a measurement area. Five operators analyzed image pairs from the right eye of 23 healthy subjects with semiautomated retinal oximetry analysis software, Oxymap Analyzer (v2.5.1), and an automated version (v3.0). Inter- and intra-operator variability was investigated using the intraclass correlation coefficient (ICC) between oxygen saturation measurements of vessel segments in the same area of the retina. Results For semiautomated saturation measurements, the inter-rater ICC was 0.80 for arterioles and venules. For automated saturation measurements, the inter-rater ICC was 0.97 for arterioles and 0.96 for venules. For semiautomated diameter measurements, the inter-rater ICC was 0.71 for arterioles and venules. For automated diameter measurements the inter-rater ICC was 0.97 for arterioles and 0.95 for venules. The inter-rater ICCs were different (p < 0.01) between the semiautomated and automated version in all instances. Conclusion Automated measurements of retinal oximetry values are more repeatable compared to measurements where vessels are selected manually.

2021 ◽  
Author(s):  
Robert Arnar Karlsson ◽  
Olof Birna Olafsdottir ◽  
Soumaya Belhadj ◽  
Vedis Helgadottir ◽  
Thorunn Scheving Eliasdottir ◽  
...  

AbstractPurposeRetinal oximetry is a technique based on spectrophotometry where images are analyzed with software capable of calculating vessel oxygen saturation and vessel diameter. In this study, the effect of automation of measurements of retinal vessel oxygen saturation and vessel diameter is explored.MethodsUntil now, operators have had to choose each vessel segment to be measured explicitly. A new, automatic version of the software automatically selects the vessels once the operator defines a measurement area.Five operators analyzed image pairs from the right eye of 23 healthy subjects with semiautomated retinal oximetry analysis software, Oxymap Analyzer (v2.5.1), and an automated version (v3.0). Inter- and intra-operator variability was investigated using the intraclass correlation coefficient (ICC) between oxygen saturation measurements of vessel segments in the same area of the retina.ResultsFor manual saturation measurements, the inter-rater ICC was 0.80 for arterioles and venules. For automated saturation measurements, the inter-rater ICC was 0.97 for arterioles and 0.96 for venules. For manual diameter measurements, the inter-rater ICC was 0.71 for arterioles and venules. For automated diameter measurements the inter-rater ICC was 0.97 for arterioles and 0.95 for venules. The inter-rater ICCs were different (p < 0.01) between the semiautomated and automated version in all instances.ConclusionAutomated measurements of retinal oximetry values are more repeatable compared to measurements where vessels are selected manually.


2015 ◽  
Vol 35 (5) ◽  
pp. 562-569 ◽  
Author(s):  
Qishan Zheng ◽  
Yao Zong ◽  
Li Li ◽  
Xia Huang ◽  
Leilei Lin ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hyung Bin Lim ◽  
Tae Seen Kang ◽  
Yeo Kyoung Won ◽  
Jung Yeul Kim

Purpose. To evaluate the difference in the repeatability of automated superficial retinal vessel density and foveal avascular zone (FAZ) metrics according to the measurement area of optical coherence tomography angiography (OCTA). Methods. A total of 127 normal eyes from 127 healthy subjects were included. Macular angiography images were acquired from all subjects using the Zeiss Cirrus 5000 with AngioPlex™ OCTA software. Scans of 3 × 3 mm and 6 × 6 mm were each performed twice in a randomly arranged sequence. Vessel density (VD), perfusion density (PD), and FAZ metrics of the superficial capillary plexus were calculated automatically for all scans, and the repeatabilities for both scan patterns were assessed based on intraclass correlation (ICC), coefficient of variation (CV), and coefficient of repeatability (CR) parameters. The average measured values in the two scan patterns were also compared. Results. VD was significantly greater in the 3 × 3 mm scan than in the 6 × 6 mm scan according to all parameters, whereas PD was significantly less in the 3 × 3 mm scan than in the 6 × 6 mm scan. The ICCs for VDs in the central fovea were 0.826 and 0.741 for the 3 × 3 and 6 × 6 mm scans, respectively, and the CVs were 8.00% and 12.75%. For PDs, the ICCs were 0.839 and 0.762 and the CVs were 9.32% and 14.90%. The FAZ metrics in the 3 × 3 mm scan showed good repeatability with an ICC >0.75 and a CV <10.0%. However, all ICCs for the 6 × 6 mm scans were <0.75, and the CVs were all >10%. Conclusions. The 6 × 6 mm macular angiography scans resulted in lower repeatabilities than the 3 × 3 mm scans according to all OCTA parameters, particularly in the central fovea and FAZ metrics. The 3 × 3 mm scan was more suitable than the 6 × 6 mm scan for analyzing macular microvascular density and FAZ metrics.


2017 ◽  
Vol 33 (6) ◽  
pp. 459-465 ◽  
Author(s):  
Xiaonan Yang ◽  
Danping Huang ◽  
Siming Ai ◽  
Xuanwei Liang ◽  
Jing Zhao ◽  
...  

2010 ◽  
Vol 88 ◽  
pp. 0-0
Author(s):  
SH HARDARSON ◽  
HR BERGVINSSON ◽  
E STEFANSSON

2018 ◽  
Vol 97 (3) ◽  
pp. 279-286 ◽  
Author(s):  
Yiquan Yang ◽  
Diya Yang ◽  
Yunxiao Sun ◽  
Yuan Xie ◽  
Zheng Zhang ◽  
...  

2014 ◽  
Vol 92 (5) ◽  
pp. 449-453 ◽  
Author(s):  
Thor Eysteinsson ◽  
Sveinn H. Hardarson ◽  
David Bragason ◽  
Einar Stefánsson

2015 ◽  
Vol 254 (2) ◽  
pp. 243-252 ◽  
Author(s):  
Yao Zong ◽  
Leilei Lin ◽  
Changxian Yi ◽  
Xia Huang ◽  
Yue Fu ◽  
...  

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