Spinal dual-energy computed tomography: improved visualisation of spinal tumorous growth with a noise-optimised advanced monoenergetic post-processing algorithm

2016 ◽  
Vol 58 (11) ◽  
pp. 1093-1102 ◽  
Author(s):  
Mareen Kraus ◽  
Jakob Weiss ◽  
Nadja Selo ◽  
Thomas Flohr ◽  
Mike Notohamiprodjo ◽  
...  
2021 ◽  
Vol 0 (0) ◽  
pp. 0-0
Author(s):  
Baptiste Dubief ◽  
Julien Avril ◽  
Tristan Pascart ◽  
Marie Schmitt ◽  
Romaric Loffroy ◽  
...  

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 843.3-844
Author(s):  
B. Dubief ◽  
J. Avril ◽  
T. Pascart ◽  
M. Schmitt ◽  
R. Loffroy ◽  
...  

Background:Dual energy computed tomography (DECT) is highly accurate for the diagnosis of gout. However, many artifacts have been described (1,2) such as nail bed, skin, beam hardening, sub-millimeter and vascular artifacts). Their presence can lead to a risk of over-diagnosis (false positives).Objectives:Main objective of this case-control study was to determine the optimal DECT settings post-treatment parameters (ratio and attenuation coefficient (HU)) in order to reduce the frequency of lower limb artifacts in patients with suspected gout of the lower limbs.Methods:Seventy-seven patients hospitalized for suspected gout arthritis (feet/ankles and/or knees) who received a DECT imaging were consecutively included (final diagnosis of 43 gout and 34 other rheumatic disorders). Different post-treatment settings were evaluated from the Syngovia software: an R1 (standard) setting with a ratio at 1.36 and minimum attenuation at 150 HU; an R2 setting with a ratio at 1.28 and minimum attenuation at 170 HU and an R3 setting with a ratio at 1.28 and minimum attenuation at 120 HU. The frequency of each artifact according to the 3 settings was determined. Diagnostic accuracy of R1 and R2 settings has been calculated. Correlations between artefacts and patient’s clinical characteristics were obtained by performing a Spearman test.Results:The R2 setting (170 HU, ratio=1.28) significantly reduced the presence of knee and foot/ankle artifacts compared to the standard R1 setting (85% and 94% decrease in beam hardening and clumpy artifacts in the ankle and foot, respectively (p < 0.001); a decrease of 71%, 60% and 88% respectively of meniscal beam hardening, beam hardening and submillimeter artifacts in the knee (p < 0.001). The use of R3 setting lead to a significant increase of some artifacts (clumpy artifacts, skin artifacts, beam hardening and nail beds.). In addition, our results found a positive correlation between the presence of deposits of knee menisci beam hardening chondrocalcinosis. Body mass index was also positively correlated with the presence of knee beam hardening artifact. Compared to standard setting, the use of R2 settings decreased sensitivity (0.79 [95CI: 0.65;0.88] versus 0.90 [95CI: 0.78;0.96] and increased specificity (0.86 [95CI: 0.71;0.93) versus 0.63 [95CI: 0.47;0.77] (p<0.001).Conclusion:Applying a ratio of 1.28 and a minimum attenuation of 170 HU (R2 settings) in DECT post-processing eliminates the majority of the artifacts located on the lower limbs, particularly the clumpy artifact and the beam hardening artifact.References:[1]Neogi T, Jansen TLTA, Dalbeth N, Fransen J, Schumacher HR, Berendsen D, et al. 2015 Gout classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative. Ann Rheum Dis. 2015;74:1789-98.[2]Mallinson PI, Coupal T, Reisinger C, Chou H, Munk PL, Nicolaou S, et al. Artifacts in dual-energy CT gout protocol: a review of 50 suspected cases with an artifact identification guide. AJR 2014;203:W103-109.Disclosure of Interests:None declared.


2021 ◽  
Author(s):  
Victor Petrovichev ◽  
Marina Neklyudova ◽  
Sinitsyn Sinitsyn ◽  
Igor Nikitin

The article provides a review of publications by the diagnosis of head and neck cancer using dual-energy computed tomography (DECT), the results of qualitative and quantitative analysis of the data were obtained by the DECT method with intravenous contrast enhancement for tumors of this localization, shows the importance of constructing iodine maps for obtaining additional diagnostic information. Including the article is described aspects of improving visualization of the oropharyngeal region against the background of artifacts from dental implants. A number of research articles highlight the current state of the issue and the role of post-processing of raw data DECT, obtaining a range of monochromatic images of tumor and other pathological changes in the head and neck region in the article. Several learned treatises were also reflected, in which DECT with intravenous contrast enhancement and routine computed tomography in terms of reducing radiation exposure to patients were compared, in particular, due to possibility of obtaining virtual native diagnostic images from a contrast series of DECT volumes during post-processing. This review, in addition to latest relevant scientific data, also includes references to works, that highlight the history of the development of DECT as the method. The physical principles underlying DECT and the prospects for the development of the method are briefly represented.


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.


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