Suspended Scattering Particles in Motion: A Novel Feature of OCT Angiography in Exudative Maculopathies

Han

et al. 2020

Sci Rep

the objective of this study was to investigate the relationship between suspended scattering particles in motion (SSpiM) in optical coherence tomography angiography (octA) and treatment response in diabetic macular edema (DMe). We retrospectively reviewed the medical records of patients diagnosed with DMe who had undergone intravitreal injection. the optical density ratio (oDR) of the intraretinal cyst and the numbers of hyperreflective foci from OCT images and SSPiM from OCTA images were compared, and their association with treatment response was analyzed. Forty-five eyes from 45 patients were included in this study. twenty-four patients were treated with anti-vascular endothelial growth factor, and 21 patients were treated with a steroid. Binary logistic regression model showed that SSPiM in OCTA images was associated with hyperreflective foci numbers (P = 0.038) and mean oDR of the intraretinal cyst (P = 0.006). Linear regression model showed that SSPiM in the inner nuclear layer was related to treatment response (P = 0.006). SSPiM on OCTA images is related to the poor structural response to treatment in DMe.

Section: Discussionsupporting

confidence: 89%

“…However, nonvascular decorrelation signals observed on OCTA are not always artifacts. Kashani et al recently reported a novel artifact-like feature called suspended scattering particles in motion (SSPiM) 14 . Supplementary Figure shows examples of SSPiM.…”

mentioning

confidence: 99%

Clinical Implications of Suspended Scattering Particles in Motion Observed by Optical Coherence Tomography Angiography

Han

et al. 2020

Sci Rep

“…Comparisons using the foveal region are more reliable as they are less affected by segmentations' errors in both the SCP and DCP. In line with Kashani et al 12 , we found that the presence of hyperreflective foveal cysts is related to SSPiM, more frequently using PLEX Elite 9000.…”

Section: Discussionsupporting

confidence: 90%

“…This difference could be explained by technical characteristics of the device used for the analysis and by the position of the borders of the enface slabs. As demonstrated by Kashani et al 12 , the signal detected in SSADA and OMAG models, were different and the OMAG showed more internal reflectivity than SSADA models.…”

Section: Discussionmentioning

confidence: 85%

Appearance of cysts and capillary non perfusion areas in diabetic macular edema using two different OCTA devices

Parravano

Costanzo

Borrelli

et al. 2020

Sci Rep

the aim of this paper was to distinguish the appearance of cysts and non-perfusion areas (npAs) in diabetic macular edema (DME) using two different Optical Coherence Tomography Angiography (OCTA) devices. in this study, patients underwent octA using the AngioVue XR Avanti Spectral Domain (SD) OCTA and the PLEX Elite 9000 Swept-Source (SS) OCTA. Foveal and extrafoveal regions of interest (ROI), defined as any area with an altered flow signal comparing to the surrounding retina, were selected in superficial and deep capillary plexus (SCP and DCP). ROI reflectivity were classified as hypo-reflective or hyper-reflective. Foveal ROI were analyzed to detect suspended scattering particles in motion (SSpiM). thirty-seven DMe eyes were included. A larger number of Rois were found in Scp (55 vs 39) and DCP (60 vs 49) using PLEX Elite 9000 vs AngioVue. The majority of ROIs were hyporeflective with both instruments, while slightly more hyper-reflective ROIs (grey) were detected with the PLEX Elite, more likely to be cysts. The hyporeflective ROIs could be NPAs or cysts with both devices. Moreover, PLEX Elite 9000 identified SSPiM in more foveal ROIs than the AngioVue in the SCP (p = 0.005) and in the DCP (p = 0.027). In conclusion, NPAs and cysts may show variable appearances using different OCTA devices. Hyperreflective ROIs generally correspond to cysts, hyporeflective ROIs can be either cysts or npAs. the SS-octA seems to detect SSpiM more frequently than the SD-octA.

Journal of Biophotonics

“…However, there are several limitations associated with the existing metrics. First, although significant correlations have been reported between these metrics and DR severity, no methods have specifically reported the performance on DR cases with DME, which is a challenge for automatic programs because DME is observed to have vessel‐like texture caused by the slow fluid movement inside the edema, termed as suspended scattering particles in motion (SSPiM) . When the edema is near the fovea, it is usually missed in FAZ segmentation by conventional thresholding methods based on pixel intensity.…”

Section: Introductionmentioning

confidence: 99%

Automated quantification of superficial retinal capillaries and large vessels for diabetic retinopathy on optical coherence tomographic angiography

Chen

Ding

et al. 2019

Optical coherence tomography angiography (OCTA) is a relatively new technique with capillary-level resolution, which has shown great potential for the diagnosis of diabetic retinopathy (DR). A fully automatic algorithm for the quantitative measurement of microcirculatory changes in sight-threatening DR is presented. The foveal avascular zone (FAZ) segmentation was improved with a graph-theoretic method and the large vessels and capillaries were separately identified and analyzed. The method was evaluated in healthy and diabetic eyes with various stages of retinopathy. Results showed that, compared with the healthy group, the diabetic group showed a significantly larger large vessel density, but a significantly smaller capillary density (P < .001). Circularity of FAZ was significantly smaller while nonperfusion area was significantly larger in the diabetic group. The combined variable of all image metrics reached an area under the ROC of 0.853 (95% CI, 0.784-0.923) for mild to moderate nonproliferative DR and 0.950 (95% CI, 0.922-0.979) for proliferative DR. Microvascular and FAZ changes with various DR stages can be accurately delineated using the developed automatic program. Quantitative metrics on OCTA serve as potential biomarkers for the staging of DR.