Discordant vascular parameter measurements in diabetic and non-diabetic eyes detected by different optical coherence tomography angiography devices

Chen, Yi; Laotaweerungsawat, Sawarin; Zhao, Tong; Haq, Zeeshan; Liu, Xiuyun; Psaras, Catherine; Yang, Daphne; Stewart, Jay M.

doi:10.1371/journal.pone.0234664

Cited by 8 publications

(7 citation statements)

References 32 publications

(47 reference statements)

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“…They have found that FAZ measurements were consistent across all four devices, while VAD and FD measurements showed significant variability calculated by the different devices 28 . Chen et al compared quantitative changes in macular parameters in patients with diabetes with two different OCTA machines 4 . In their research the two devices were largely inconsistent in terms of SkD and VD parameters.…”

Section: Discussionmentioning

confidence: 99%

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Qualitative and quantitative comparison of two semi-manual retinal vascular density analyzing methods on optical coherence tomography angiography images of healthy individuals

Angeli,

Hajdu,

Jeney

et al. 2023

Sci Rep

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The aim of this study was to evaluate qualitative and quantitative differences in vascular density analysis of an established and a novel alternative for post-processing on optical coherence tomography angiography (OCTA) images in healthy individuals. OCTA examinations of 38 subjects were performed. After extracting the images, two semi-manual post-processing techniques, the already established Mexican hat filtering (MHF) and an alternative, the Shanbhag thresholding (ST) were applied. We assessed Vessel Density (VD), Skeleton Density (SkD) and Vessel Diameter Index (VDI). We analyzed the results in order to establish similarities or potentially relevant differences. Regarding SkD and VD, MHF generally gave higher values than ST. Simultaneously, mean values were also predominantly higher by MHF; however, standard deviations (SD) were higher by ST (range [mean ± SD]: 0.054 ± 0.038 to 0.134 ± 0.01 and 0.134 ± 0.095 to 0.362 ± 0.028 vs 0.012 ± 0.014 to 0.087 ± 0.03 and 0.039 ± 0.047 to 0.4 ± 0.095 for SkD and VD with MHF vs SkD and VD with ST, respectively). Values of VDI were considerably higher with ST than with MHF, while standard deviation was still significantly higher with ST (range [mean ± SD]: 2.459 ± 0.144 to 2.71 ± 0.084 and 2.983 ± 0.929 to 5.19 ± 1.064 for VDI with MHF and ST, respectively). The noise level reduction of the two methods were almost identical (noise levels: 65.8% with MHT and 65.24% with ST). Using MHF, the vascular network gets more fragmented by an average of 40% compared to ST. Both methods allow the segmentation of the vascular network and the examination of vascular density parameters, but they produce largely inconsistent results. To determine if these inconsistent results are clinically meaningful, and which method is more suitable for clinical use, our results provide further evidence that detailed understanding of the image analysis method is essential for reliable decision making for patients with retinal pathology. For longitudinal monitoring, use of the same image processing method is recommended.

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Section: Discussionmentioning

confidence: 99%

“…In their research the two devices were largely inconsistent in terms of SkD and VD parameters. They used the size comparison index (SCI), to simplify the comparison of OCTA parameter values between the two OCTA devices 4 .…”

Section: Discussionmentioning

confidence: 99%

Qualitative and quantitative comparison of two semi-manual retinal vascular density analyzing methods on optical coherence tomography angiography images of healthy individuals

Angeli,

Hajdu,

Jeney

et al. 2023

Sci Rep

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“…Both the left and the right eye of each subject were examined, but only one eye of each subject was chosen to avoid bias due to the interrelation between both eyes of a participant. The right eye from each subject was included, and if the right eye image was of poor quality, the left eye was used instead [ 23 ].…”

Section: Methodsmentioning

confidence: 99%

Clinical Observation of Macular Superficial Capillary Plexus and Ganglion Cell Complex in Patients with Parkinson’s Disease

Zhang,

Zhuang,

Wang

et al. 2023

Ophthalmic Res

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Introduction: We investigated macular superficial capillary plexus (SCP) density and the thicknesses of the ganglion cell complex (GCC) in patients with Parkinson's disease (PD) and correlated them. We also observed the correlations between SCP density and clinical parameters of PD patients. The retina might be a novel biomarker of PD and will be useful in the future for the early diagnosis of PD and detecting disease progression. Methods: Seventy-four participants (38 patients with PD and 36 healthy controls) were recruited at the Affiliated Hospital of Xuzhou Medical University between January 2022 to June 2022 in this study. The macular SCP densities was measured by optical coherence tomography angiography (OCTA), and the GCC thickness was measured by optical coherence tomography (OCT). The parameters were compared between PD patients and healthy controls. The correlation between SCP and clinical parameters was tested. Results: Compared with the control group, PD patients showed reduced SCP densities in all areas of the macular region (parafovea-temporal: t=3.053, P=0.003; parafovea-superior: t=3.680, P=0.001; parafovea-nasal: t=4.643, P<0.001; parafovea-inferior: t=2.254, P=0.027; perifovea-temporal: t=3.798, P<0.001; perifovea-superior: t=3.014, P=0.004; perifovea-nasal: t=2.948, P=0.004; perifovea-inferior: t=3.337, P=0.021;). The average GCC thickness in the PD patients was significantly reduced (t=2.365, P=0.021). There were positive correlations between the average GCC thickness and the SCP densities in most of the areas of the macular regions in PD patients (parafovea-temporal: r=0.325, P=0.005; parafovea-superior: r=0.295, P=0.011; parafovea-nasal: r=0.335, P=0.003; perifovea-superior: r=0.362, P=0.002; perifovea-nasal: r=0.290, P=0.012; perifovea-inferior: r=0.333, P=0.004). We found significant correlations between SCP densities and Hoehn and Yahr (H&Y) scales, UPDRS III scores, and MMSE scores. No significant correlation was observed between SCP density and PD disease duration (all P>0.05). Conclusions: We demonstrated that the macular superficial capillary plexus density was decreased, and the average ganglion cell complex thickness was reduced in PD patients. The correlation between SCP density damage and GCC thinning also suggested that the retinal microvascular damage may be associated with retinal structural degeneration in PD patients. OCTA and OCT may be considered objective biomarkers for detecting microvascular impairment and neuronal damage in the early stages of PD in the future.

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“…1 Comparison of optical coherence tomography angiography (OCTA) images from different devices. (a) : en face scans by five commercial devices at the level of superficial and deep capillary plexuses (SCP and DCP) – small circles represent the detectable microaneurysms, denoted by alphabetical letters [ 4 ]; (b) : the upper row shows en face scans at the level of SCP, DCP, and choriocapillaris (CC) obtained by two machines; the lower row shows corresponding binarized images [ 6 ] …”

Section: Main Textmentioning

confidence: 99%

“…Moreover, results from a study on 80 eyes with different DR severities showed poor agreement between Zeiss and Heidelberg OCTA devices in nearly all quantitative parameters except superficial vessel density – i.e., superficial vessel length density, deep vessel density, deep vessel length density, and choriocapillaris flow voids (Fig. 1 .b) [ 6 ]. The presence or severity of retinopathy did not affect the magnitude of discrepancy [ 6 ].…”

Section: Main Textmentioning

confidence: 99%

Addressing inter-device variations in optical coherence tomography angiography: will image-to-image translation systems help?

Nouri,

Nasri,

Abtahi

2023

Int J Retin Vitr

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Background Optical coherence tomography angiography (OCTA) is an innovative technology providing visual and quantitative data on retinal microvasculature in a non-invasive manner. Main body Due to variations in the technical specifications of different OCTA devices, there are significant inter-device differences in OCTA data, which can limit their comparability and generalizability. These variations can also result in a domain shift problem that may interfere with applicability of machine learning models on data obtained from different OCTA machines. One possible approach to address this issue may be unsupervised deep image-to-image translation leveraging systems such as Cycle-Consistent Generative Adversarial Networks (Cycle-GANs) and Denoising Diffusion Probabilistic Models (DDPMs). Through training on unpaired images from different device domains, Cycle-GANs and DDPMs may enable cross-domain translation of images. They have been successfully applied in various medical imaging tasks, including segmentation, denoising, and cross-modality image-to-image translation. In this commentary, we briefly describe how Cycle-GANs and DDPMs operate, and review the recent experiments with these models on medical and ocular imaging data. We then discuss the benefits of applying such techniques for inter-device translation of OCTA data and the potential challenges ahead. Conclusion Retinal imaging technologies and deep learning-based domain adaptation techniques are rapidly evolving. We suggest exploring the potential of image-to-image translation methods in improving the comparability of OCTA data from different centers or devices. This may facilitate more efficient analysis of heterogeneous data and broader applicability of machine learning models trained on limited datasets in this field.

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Discordant vascular parameter measurements in diabetic and non-diabetic eyes detected by different optical coherence tomography angiography devices

Cited by 8 publications

References 32 publications

Qualitative and quantitative comparison of two semi-manual retinal vascular density analyzing methods on optical coherence tomography angiography images of healthy individuals

Qualitative and quantitative comparison of two semi-manual retinal vascular density analyzing methods on optical coherence tomography angiography images of healthy individuals

Clinical Observation of Macular Superficial Capillary Plexus and Ganglion Cell Complex in Patients with Parkinson’s Disease

Addressing inter-device variations in optical coherence tomography angiography: will image-to-image translation systems help?

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