scholarly journals Dual energy computed tomography – a novel imaging method on the two examples of a rare course of gout

Author(s):  
Agnieszka Zielińska ◽  
Anna Nowakowska-Płaza ◽  
Jacek Falkowski ◽  
Małgorzata Stasiek ◽  
Iwona Sudoł-Szopińska ◽  
...  
2018 ◽  
Vol 51 (3) ◽  
pp. 178-186
Author(s):  
Julia Noschang ◽  
Marcos Duarte Guimarães ◽  
Diogo Fábio Dias Teixeira ◽  
Juliana Cristina Duarte Braga ◽  
Bruno Hochhegger ◽  
...  

Abstract The accurate diagnosis of pulmonary thromboembolism is essential to reducing the morbidity and mortality associated with the disease. The diagnosis of pulmonary thromboembolism is challenging because of the nonspecific nature of the clinical profile and the risk factors. Imaging methods provide the definitive diagnosis. Currently, the imaging method most commonly used in the evaluation of pulmonary thromboembolism is computed tomography. The recent development of dual-energy computed tomography has provided a promising tool for the evaluation of pulmonary perfusion through iodine mapping. In this article, we will review the importance of diagnosing pulmonary thromboembolism, as well as the imaging methods employed, primarily dual-energy computed tomography.


2019 ◽  
Author(s):  
Torsten Diekhoff ◽  
Michael Fuchs ◽  
Nils Engelhard ◽  
Kay-Geert Hermann ◽  
Michael Putzier ◽  
...  

2011 ◽  
Vol 12 (1) ◽  
pp. 62-63 ◽  
Author(s):  
Thomas Henzler ◽  
Steffen Diehl ◽  
Susanne Jochum ◽  
Tim Sueselbeck ◽  
Stefan O Schoenberg ◽  
...  

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 161
Author(s):  
Masakatsu Tsurusaki ◽  
Keitaro Sofue ◽  
Masatoshi Hori ◽  
Kosuke Sasaki ◽  
Kazunari Ishii ◽  
...  

Dual-energy computed tomography (DECT) is an imaging technique based on data acquisition at two different energy settings. Recent advances in CT have allowed data acquisitions and simultaneous analyses of X-rays at two energy levels, and have resulted in novel developments in the field of abdominal imaging. The use of low and high X-ray tube voltages in DECT provide fused images that improve the detection of liver tumors owing to the higher contrast-to-noise ratio (CNR) of the tumor compared with the liver. The use of contrast agents in CT scanning improves image quality by enhancing the CNR and signal-to-noise ratio while reducing beam-hardening artifacts. DECT can improve detection and characterization of hepatic abnormalities, including mass lesions. The technique can also be used for the diagnosis of steatosis and iron overload. This article reviews and illustrates the different applications of DECT in liver imaging.


Diagnostics ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. 870
Author(s):  
Saif Afat ◽  
Ahmed E. Othman ◽  
Konstantin Nikolaou ◽  
Sebastian Gassenmaier

To evaluate contrast-enhanced dual-energy computed tomography (DECT) chest examinations regarding pulmonary perfusion patterns and pulmonary opacities in patients with confirmed COVID-19 disease. Fourteen patients with 24 DECT examinations performed between April and May 2020 were included in this retrospective study. DECT studies were assessed independently by two radiologists regarding pulmonary perfusion defects, using a Likert scale ranging from 1 to 4. Furthermore, in all imaging studies the extent of pulmonary opacities was quantified using the same rating system as for perfusion defects. The main pulmonary findings were ground glass opacities (GGO) in all 24 examinations and pulmonary consolidations in 22 examinations. The total lung scores after the addition of the scores of the single lobes showed significantly higher values of opacities compared to perfusion defects, with a median of 12 (9–18) for perfusion defects and a median of 17 (15–19) for pulmonary opacities (p = 0.002). Furthermore, mosaic perfusion patterns were found in 19 examinations in areas with and without GGO. Further studies will be necessary to investigate the pathophysiological background of GGO with maintained perfusion compared to GGO with reduced perfusion, especially regarding long-term lung damage and prognosis.


2020 ◽  
Vol 21 ◽  
pp. S85
Author(s):  
V. Rudenko ◽  
N. Serova ◽  
L. Kapanadze ◽  
M. Taratkin ◽  
Z. Okhunov ◽  
...  

2016 ◽  
Vol 68 (6) ◽  
pp. 769-775 ◽  
Author(s):  
Sara Bayat ◽  
Opetaia Aati ◽  
Jürgen Rech ◽  
Mark Sapsford ◽  
Alexander Cavallaro ◽  
...  

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