scholarly journals DUAL ENERGY CT-DERIVED LUNG HYPOPERFUSION POORLY PREDICTS ACUTE PULMONARY EMBOLISM CLINICAL SEVERITY

2021 ◽  
Vol 77 (18) ◽  
pp. 1797
Author(s):  
Mary E. Acosta ◽  
Rajeev Anchan ◽  
Stephanie Besser ◽  
Luis Landeras ◽  
Jonathan Paul
2021 ◽  
Vol 11 (5) ◽  
pp. 1817-1827
Author(s):  
Bernhard Petritsch ◽  
Pauline Pannenbecker ◽  
Andreas M. Weng ◽  
Jan-Peter Grunz ◽  
Simon Veldhoen ◽  
...  

2012 ◽  
Vol 81 (12) ◽  
pp. 3711-3718 ◽  
Author(s):  
Lucas L. Geyer ◽  
Michael Scherr ◽  
Markus Körner ◽  
Stefan Wirth ◽  
Paul Deak ◽  
...  

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.


2015 ◽  
Vol 84 (1) ◽  
pp. 172-177 ◽  
Author(s):  
Munemasa Okada ◽  
Yoshie Kunihiro ◽  
Yoshiteru Nakashima ◽  
Takafumi Nomura ◽  
Shohei Kudomi ◽  
...  

Author(s):  
Caterina B. Monti ◽  
Moreno Zanardo ◽  
Andrea Cozzi ◽  
Simone Schiaffino ◽  
Pietro Spagnolo ◽  
...  

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