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Comment
. 2022 Nov-Dec:68:63-65.
doi: 10.1016/j.hjc.2022.09.012. Epub 2022 Sep 28.

Cardiac involvement in athletes recently recovered from COVID-19

Dimitrios Tsiachris  1 , Grigorios Chatzantonis  2 , Christos-Konstantinos Antoniou  3 , Haris Lalos  4 , Gregory C Bogdanis  5 , Pantelis Nikolaou  4 , Anastasios Spanos  3 , Stefanos Karagiannis  6 , Costas Tsioufis  7 , Ali Yilmaz  8 , Christodoulos Stefanadis  3
Affiliations
Comment

Cardiac involvement in athletes recently recovered from COVID-19

Dimitrios Tsiachris et al. Hellenic J Cardiol. 2022 Nov-Dec.
No abstract available

Keywords: COVID-19; Cardiac involvement; Cardiac magnetic resonance; Elite athletes; Perfusion imaging.

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Figures

Figure.1
Figure 1
Results of fully automatic myocardial quantitative perfusion analysis. Fully automated quantitative perfusion analysis. Rest and stress perfusion (left columns) are aligned together with motion correction that allows free breathing acquisition (cvi42MoCo). Pixel-wise myocardial blood flow (MBF) maps at rest and at stress are generated (first row) as well as relative MBF maps (second row), which are computed by first identifying the “healthy” tissue pixels in the MBF and then dividing the myocardial pixels by the average of the healthy pixel values. Myocardial Perfusion Reserve (MPR) and relative MPR derived from the division of the stress by the rest MBF and from their relative counterparts (third column). Signal intensity (SI) curves from the basal, midventricular and apical slice as well as from the blood pool for the calculation of Arterial Input Function (AIF) are depicted (middle column).
See this image and copyright information in PMC

Comment on

References

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