Severity assessment of pulmonary embolism using dual energy CT – correlation of a pulmonary perfusion defect score with clinical and morphological parameters of blood oxygenation and right ventricular failure

2011 ◽  
Vol 22 (2) ◽  
pp. 269-278 ◽  
Author(s):  
Sven F. Thieme ◽  
Nima Ashoori ◽  
Fabian Bamberg ◽  
Wieland H. Sommer ◽  
Thorsten R. C. Johnson ◽  
...  
2020 ◽  
Vol 30 (5) ◽  
pp. 2535-2542 ◽  
Author(s):  
Ramandeep Singh ◽  
Ryan Zipan Nie ◽  
Fatemeh Homayounieh ◽  
Bernhard Schmidt ◽  
Thomas Flohr ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 495
Author(s):  
Samir Jawad ◽  
Peter Sommer Ulriksen ◽  
Anna Kalhauge ◽  
Kristoffer Lindskov Hansen

The purpose of the study was to investigate whether Dual Energy CT (DECT) can be used as a diagnostic tool to assess the severity of acute pulmonary embolism (PE) by correlating parenchymal perfusion defect volume, obstruction score and right ventricular-to-left ventricular (RV/LV) diameter ratio using CT angiography (CTA) and DECT perfusion imaging. A total of 43 patients who underwent CTA and DECT perfusion imaging with clinical suspicion of acute PE were retrospectively included in the study. In total, 25 of these patients had acute PE findings on CTA. DECT assessed perfusion defect volume (PDvol) were automatically and semiautomatically quantified. Overall, two CTA methods for risk assessment in patients with acute PE were assessed: the RV/LV diameter ratio and the Modified Miller obstruction score. Automatic PDvol had a weak correlation (r = 0.47, p = 0.02) and semiautomatic PDvol (r = 0.68, p < 0.001) had a moderate correlation to obstruction score in patients with confirmed acute PE, while only semiautomatic PDvol (r = 0.43, p = 0.03) had a weak correlation with the RV/LV diameter ratio. Our data indicate that PDvol assessed by DECT software technique may be a helpful tool to assess the severity of acute PE when compared to obstruction score and RV/LV diameter ratio.


Radiology ◽  
2013 ◽  
Vol 267 (3) ◽  
pp. 747-756 ◽  
Author(s):  
Matthew K. Fuld ◽  
Ahmed F. Halaweish ◽  
Susan E. Haynes ◽  
Abhay A. Divekar ◽  
Junfeng Guo ◽  
...  

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