Early effects of inactivated (CoronaVac) SARS-CoV-2 vaccine on retrobulbar vascular blood flow and retinal vascular density.

AIMS: We aimed to investigate the early effects of inactivated SARS-CoV-2 vaccine on retrobulbar vascular blood flow and retinal vascular density in healthy subjects. METHODS: Thirty-four eyes of 34 healthy volunteers who received the CoronaVac (Sinovac Life Sciences, China) were included in this prospective study. Resistive index (RI), pulsatility index (PI) and peak systolic velocity (PSV) of the ophthalmic artery (OA), central retinal artery (CRA), and the temporal and nasal posterior ciliary arteries (PCA) were evaluated with color Doppler ultrasonography (CDUS) before vaccination, at the 2nd and 4th weeks after vaccination. Superficial capillary plexus (SCP) and deep capillary plexus (DCP) vessel density (VD), foveal avascular zone (FAZ), and choriocapillaris blood flow (CCF) measurements were made using optical coherence tomography angiography (OCTA). RESULTS: When compared to the pre-vaccination values, there was no significant change in OA-PSV, temporal-nasal PCA-PSV, CRA-EDV, temporal-nasal PCA-EDV at 2nd and 4th weeks after vaccination. However statistically significant reductions were found in the OA-RI, OA-PI, CRA-RI, CRA-PI, temporal-nasal PCA-RI, temporal-nasal PCA-PI values, CRA-PSV at post-vaccination 2nd week (p<0.05 for all). While there was sustained reduction in OA-RI, OA-PI, CRA-PSV, and nasal PCA-RI values at 4th week after vaccination, the change in CRA-RI, CRA-PI, temporal PCA-RI, temporal-nasal PCA-PI values were not significant compared to pre-vaccination values. There was no statistically significant difference in the SCP-VD, DCP-VD, FAZ and CCF measurements. CONCLUSIONS: Our findings demonstrating that CoronaVac vaccine did not affect retinal vascular density in the early period, but it caused alterations in the retrobulbar blood flow.

COVID-19 computed tomography reporting systems: interrater and inter-system agreement study

Aim: The aim of this study was to investigate agreements between COVID-19 reporting systems and radiologists. Materials and Methods: A total of 100 laboratory-confirmed COVID-19 cases (49 males, 51 females;age range 19-88 years) were retrospectively collected. Firstly, computed tomography (CT) images were evaluated by two radiologists independently and blinded to clinical notes and laboratory and radiological reports and they gave their impressions independently according to four COVID-19 reporting systems, then all CTs were interpreted again by the two radiologists for extracting CT features at the same session by consensus. Results: Bilateral, lower lobe, peripheral, dorsal and multifocal lung involvements were predominantly seen, and ground-glass opacities (GGOs) were the most common CT imaging finding in the current study. Reporting systems showed fair to moderate agreements between senior and junior raters (0.246-0.490, p<0.001). According to the assigned three-category coding system as similar to that of the Radiological Society of North America (RSNA) Expert Consensus Statement on Reporting and other reporting systems and guidance, strength of inter-rater agreement values was increased (0.365-0.576, p<0.001) and inter-system agreements were substantial to almost perfect in both raters. Conclusion: Radiology reporting including frequently seen CT features and lung parenchyma distributions with systems based on fewer categories may provide good agreement between observers in patients with suspected COVID-19. [ABSTRACT FROM AUTHOR] Copyright of Annals of Medical of Research is the property of Annals of Medical Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)