scholarly journals Pulmonary artery sarcoma: value of dual-energy CT (DECT)-based iodine quantification on multimodality workup

Author(s):  
FJ Mendoza Ferradas ◽  
A Ezponda ◽  
G Bastarrika ◽  
Juan-Aracil Gregorio Rábago
Head & Neck ◽  
2018 ◽  
Vol 41 (4) ◽  
pp. 1024-1031 ◽  
Author(s):  
Do Hyung Lee ◽  
Young Hen Lee ◽  
Hyung Suk Seo ◽  
Ki Yeol Lee ◽  
Sang‐il Suh ◽  
...  

2015 ◽  
Vol 42 (7) ◽  
pp. 4349-4366 ◽  
Author(s):  
Sebastian Faby ◽  
Stefan Kuchenbecker ◽  
Stefan Sawall ◽  
David Simons ◽  
Heinz-Peter Schlemmer ◽  
...  

2014 ◽  
Vol 24 (8) ◽  
pp. 1981-1988 ◽  
Author(s):  
Jan Baxa ◽  
Alena Vondráková ◽  
Táňa Matoušková ◽  
Olga Růžičková ◽  
Bernhard Schmidt ◽  
...  

2011 ◽  
Vol 196 (6) ◽  
pp. W693-W700 ◽  
Author(s):  
Hersh Chandarana ◽  
Alec J. Megibow ◽  
Benjamin A. Cohen ◽  
Ramya Srinivasan ◽  
Danny Kim ◽  
...  

2013 ◽  
Vol 23 (8) ◽  
pp. 2288-2295 ◽  
Author(s):  
Giorgio Ascenti ◽  
Achille Mileto ◽  
Bernhard Krauss ◽  
Michele Gaeta ◽  
Alfredo Blandino ◽  
...  

2020 ◽  
Vol 17 (2) ◽  
Author(s):  
Selen Bayraktaroglu ◽  
Akın Cinkooglu ◽  
Naim Ceylan ◽  
Recep Savas

Background: Multidetector computed tomography (MDCT) angiography is considered as the gold standard imaging modality in the evaluation of acute pulmonary embolism. Optimum vascular enhancement is critical for MDCT studies. The suboptimal opacification in pulmonary artery could be salvaged using low-energy virtual monoenergetic images (VMI) at rapid kVp switch dual energy CT. Objectives: To explore the potential improvement in pulmonary artery opacification and to assess the change in image quality parameters in VMI using fast switch kVp dual energy CT. Patients and Methods: The CT images of 877 patients who were referred with a preliminary diagnosis of pulmonary embolism were reviewed. Sixty patients with suboptimal enhancement (< 200 Hounsfeld Unit [HU]) were involved. Standard images (140 kVp) and VMI from 40 to 120 keV were generated. Attenuation, noise, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were measured in the pulmonary artery. Using VMIs, the best image was determined as the image with the main pulmonary artery opacification greater than 200 HU and image quality ≥ 3. Fifty six studies that met these criteria were considered as salvaged. At this best energy level, quantitative parameters were compared with standard images. Results: The mean attenuation of pulmonary arteries was 169.80 HU in standard images in patients with suboptimal enhancement. The attenuations of VMIs at 40, 45, 50, 55, 60, 65, and 70 keV were significantly higher than standard images (P < 0.001). Similar findings were observed with SNR and CNR. In the salvaged patients, the average increase in mean pulmonary artery attenuation was 62% (from 172.61 ± 23.4 to 280.55 ± 40.7), the average increase in SNR was 38% (from 12.1 ± 5.3 to 16.7 ± 7.1) and the average increase in CNR was 48% (9.2 ± 4.3 to 13.7 ± 6) (P < 0.001). Conclusions: Low keV VMI reconstructions significantly increase pulmonary artery attenuation, CNR and SNR compared to standard image reconstructions. Suboptimal CT studies could be salvaged using low keV VMIs.


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