scholarly journals CT venography after knee replacement surgery: comparison of dual-energy CT-based monochromatic imaging and single-energy metal artifact reduction techniques on a 320-row CT scanner

2017 ◽  
Vol 6 (2) ◽  
pp. 205846011769346 ◽  
Author(s):  
Masafumi Kidoh ◽  
Daisuke Utsunomiya ◽  
Seitaro Oda ◽  
Takeshi Nakaura ◽  
Yoshinori Funama ◽  
...  

Background An optimal metal artifact reduction (MAR) technique is needed for a reliable and accurate image-based diagnosis. Purpose Using a 320-row scanner, we compared the dual-energy computed tomography (CT)-based monochromatic and the single-energy metal artifact reduction (SEMAR) techniques for CT venography (CTV) to identify the better imaging method for diagnosing deep vein thrombosis (DVT) in patients who had undergone knee replacement surgery. Material and Methods Twenty-three consecutive patients with suspected DVT after unilateral knee replacement surgery underwent dual-energy CT (135/80 kVp). Monochromatic images of 35–135 keV were generated; the monochromatic image with the best signal-to-noise ratio (SNR) of the popliteal vein near the metal prosthesis were selected. The projection data of 80 kVp were reconstructed using MAR algorithm. The mean SNR ON MAR and the best SNR ON monochromatic images were compared. Two radiologists evaluated visualization of the metal artifacts on a four-point scale where 1 = extensive artifacts, 2 = strong artifacts, 3 = mild artifacts, and 4 = minimal artifacts. Results The mean SNR was significantly higher on the MAR than the monochromatic images (12.8 ± 4.7 versus 7.7 ± 5.1, P < 0.01) and the visual scores were significantly higher for MAR than monochromatic images (2.6 ± 0.8 versus 1.3 ± 0.4, P < 0.01). Conclusion For CTV after knee replacement surgery, the MAR technique is superior to the monochromatic imaging technique.

2017 ◽  
Vol 58 (11) ◽  
pp. 1312-1319 ◽  
Author(s):  
Jihoon Cha ◽  
Hyung-Jin Kim ◽  
Sung Tae Kim ◽  
Yi Kyung Kim ◽  
Ha Youn Kim ◽  
...  

Background Metallic dental prostheses may degrade image quality on head and neck computed tomography (CT). However, there is little information available on the use of dual-energy CT (DECT) and metal artifact reduction software (MARS) in the head and neck regions to reduce metallic dental artifacts. Purpose To assess the usefulness of DECT with virtual monochromatic imaging and MARS to reduce metallic dental artifacts. Material and Methods DECT was performed using fast kilovoltage (kV)-switching between 80-kV and 140-kV in 20 patients with metallic dental prostheses. CT data were reconstructed with and without MARS, and with synthesized monochromatic energy in the range of 40–140-kiloelectron volt (keV). For quantitative analysis, the artifact index of the tongue, buccal, and parotid areas was calculated for each scan. For qualitative analysis, two radiologists evaluated 70-keV and 100-keV images with and without MARS for tongue, buccal, parotid areas, and metallic denture. The locations and characteristics of the MARS-related artifacts, if any, were also recorded. Results DECT with MARS markedly reduced metallic dental artifacts and improved image quality in the buccal area ( P < 0.001) and the tongue ( P < 0.001), but not in the parotid area. The margin and internal architecture of the metallic dentures were more clearly delineated with MARS ( P < 0.001) and in the higher-energy images than in the lower-energy images ( P = 0.042). MARS-related artifacts most commonly occurred in the deep center of the neck. Conclusion DECT with MARS can reduce metallic dental artifacts and improve delineation of the metallic prosthesis and periprosthetic region.


2019 ◽  
Vol 27 (2) ◽  
pp. 230949901985117 ◽  
Author(s):  
Ka Yin Gregory Lee ◽  
Hei Man Joyce Cheng ◽  
Chi Yeung Chu ◽  
Chi Wai Annie Tam ◽  
Wai Kuen Kan

2015 ◽  
Vol 19 (05) ◽  
pp. 446-455 ◽  
Author(s):  
Jean-Michel Sverzut ◽  
Raphaël Campagna ◽  
Henri Guerini ◽  
Antoine Feydy ◽  
Jean-Luc Drapé ◽  
...  

2018 ◽  
Vol 211 (5) ◽  
pp. 1083-1091 ◽  
Author(s):  
Hye Jin Yoo ◽  
Sung Hwan Hong ◽  
Bo Mi Chung ◽  
Sun Jeong Moon ◽  
Ja-Young Choi ◽  
...  

2015 ◽  
Author(s):  
Jack W. Lambert ◽  
Peter M. Edic ◽  
Paul Fitzgerald ◽  
Andrew S. Torres ◽  
Benjamin M. Yeh

2016 ◽  
Vol 43 (6Part9) ◽  
pp. 3423-3423
Author(s):  
N Lamichhane ◽  
K Padgett ◽  
X Li ◽  
I Mihaylov

2020 ◽  
Vol 133 ◽  
pp. 109357
Author(s):  
Izabella Barreto ◽  
Eric Pepin ◽  
Ivan Davis ◽  
Cooper Dean ◽  
Tara Massini ◽  
...  

2020 ◽  
Vol 50 (1) ◽  
pp. 51-58
Author(s):  
Payam Mohammadinejad ◽  
Francis I. Baffour ◽  
Mark C. Adkins ◽  
Lifeng Yu ◽  
Cynthia H. McCollough ◽  
...  

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