Figure 2 | Scientific Reports

Figure 2

From: Opportunistic deep learning powered calcium scoring in oncologic patients with very high coronary artery calcium (≥ 1000) undergoing 18F-FDG PET/CT

Figure 2

Representative CT image with automated deep learning coronary artery calcium scoring. Representative CT images of a 68-year-old man with a body mass index of 21.8 kg/m2 with severe coronary artery calcifications (i.e., Agatston score of 1616). Images from ungated non-contrast CT from 18F-FDG-PET/CT for staging of lung cancer (A), including fully automated deep learning coronary artery calcium scoring (DL-CACS) markings. Coronary calcifications in the left main (LM), left anterior descending (LAD), left circumflex artery (LCX), and right coronary artery (RCA), were correctly quantified (B) by the AI-CACS tool, resulting in a total score of 1824. The DL-CACS correctly attributed the highest CAC risk (C).

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