Machine learning assisted feature identification and prediction of hemodynamic endpoints using computed tomography in patients with CTEPH.

Interestingly in regard of contrast media retention in the hepatic veins highly significant differences were found in all three cases (p value = 0.001 and < 0.0001).

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In comparison contrast media retention in the vena cava inferior displayed highly significant differences just for RAP (p value = 0.0005) and pericardial effusion altogether only showed mildly significant differences for the three hemodynamic parameters (p-value between 0.0023 and 0.0447).

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