Literature DB >> 32644824

Virtual monoenergetic images preserve diagnostic assessability in contrast media reduced abdominal spectral detector CT.

Simon Lennartz1,2,3, Nils Große Hokamp1, Charlotte Zäske1, David Zopfs1, Grischa Bratke1, Andreas Glauner1, David Maintz1, Thorsten Persigehl1, De-Hua Chang1,4, Tilman Hickethier1.   

Abstract

OBJECTIVES: To investigate if low-keV virtual monoenergetic images (VMI40keV) from abdominal spectral detector CT (SDCT) with reduced intravenous contrast media application (RCM) provide abdominal assessment similar to conventional images with standard contrast media (SCM) dose.
METHODS: 78 patients with abdominal SDCT were retrospectively included: 41 patients at risk for adverse reactions who received 44 RCM examinations with 50 ml and 37 patients who underwent 44 SCM examinations with 100 ml of contrast media (CM) and who were matched for effective body diameters. RCM, SCM images and RCM-VMI40keV were reconstructed. Attenuation and signal-to-noise ratio (SNR) of liver, pancreas, kidneys, lymph nodes, psoas muscle, aorta and portal vein were assessed ROIs-based. Contrast-to-noise ratios (CNR) of lymph nodes vs aorta/portal vein were calculated. Two readers evaluated organ/vessel contrast, lymph node delineation, image noise and overall assessability using 4-point Likert scales.
RESULTS: RCM were inferior to SCM images in all quantitative/qualitative criteria. RCM-VMI40keV and SCM images showed similar lymph node and muscle attenuation (p = 0.83,0.17), while for all other ROIs, RCM-VMI40keV showed higher attenuation (p ≤ 0.05). SNR was comparable between RCM-VMI40keV and SCM images (p range: 0.23-0.99). CNR of lymph nodes was highest in RCM-VMI40keV (p ≤ 0.05). RCM-VMI40keV received equivalent or higher scores than SCM in all criteria except for organ contrast, overall assessability and image noise, where SCM were superior (p ≤ 0.05). However, RCM-VMI40keV received proper or excellent scores in 88.6/94.2/95.4% of the referring cases.
CONCLUSIONS: VMI40keV counteract contrast deterioration in CM reduced abdominal SDCT, facilitating diagnostic assessment. ADVANCES IN KNOWLEDGE: SDCT-derived VMI40keV provide adequate depiction of vessels, organs and lymph nodes even at notable CM reduction.

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Year:  2020        PMID: 32644824      PMCID: PMC7465856          DOI: 10.1259/bjr.20200340

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  39 in total

1.  Virtual monochromatic imaging in dual-source dual-energy CT: radiation dose and image quality.

Authors:  Lifeng Yu; Jodie A Christner; Shuai Leng; Jia Wang; Joel G Fletcher; Cynthia H McCollough
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

2.  Diagnostic accuracy of low and high tube voltage coronary CT angiography using an X-ray tube potential-tailored contrast medium injection protocol.

Authors:  Moritz H Albrecht; John W Nance; U Joseph Schoepf; Brian E Jacobs; Richard R Bayer; Sheldon E Litwin; Michael A Reynolds; Katharina Otani; Stefanie Mangold; Akos Varga-Szemes; Domenico De Santis; Marwen Eid; Georg Apfaltrer; Christian Tesche; Markus Goeller; Thomas J Vogl; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2017-11-27       Impact factor: 5.315

3.  Assessment of an advanced image-based technique to calculate virtual monoenergetic computed tomographic images from a dual-energy examination to improve contrast-to-noise ratio in examinations using iodinated contrast media.

Authors:  Katharine L Grant; Thomas G Flohr; Bernhard Krauss; Martin Sedlmair; Christoph Thomas; Bernhard Schmidt
Journal:  Invest Radiol       Date:  2014-09       Impact factor: 6.016

4.  Automatic spectral imaging protocol selection and iterative reconstruction in abdominal CT with reduced contrast agent dose: initial experience.

Authors:  Peijie Lv; Jie Liu; Yaru Chai; Xiaopeng Yan; Jianbo Gao; Junqiang Dong
Journal:  Eur Radiol       Date:  2016-04-20       Impact factor: 5.315

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Authors:  Nils Große Hokamp; David Maintz; Nadav Shapira; De Hua Chang; Peter B Noël
Journal:  Diagn Interv Radiol       Date:  2020-01       Impact factor: 2.630

Review 6.  Contrast media and nephropathy: findings from systematic analysis and Food and Drug Administration reports of adverse effects.

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Journal:  Invest Radiol       Date:  2006-08       Impact factor: 6.016

7.  Virtual monoenergetic images from spectral detector CT as a surrogate for conventional CT images: Unaltered attenuation characteristics with reduced image noise.

Authors:  Nils Große Hokamp; R Gilkeson; M K Jordan; K R Laukamp; Victor-Frederick Neuhaus; S Haneder; S S Halliburton; A Gupta
Journal:  Eur J Radiol       Date:  2019-05-29       Impact factor: 3.528

Review 8.  Evidence Supporting LI-RADS Major Features for CT- and MR Imaging-based Diagnosis of Hepatocellular Carcinoma: A Systematic Review.

Authors:  An Tang; Mustafa R Bashir; Michael T Corwin; Irene Cruite; Christoph F Dietrich; Richard K G Do; Eric C Ehman; Kathryn J Fowler; Hero K Hussain; Reena C Jha; Adib R Karam; Adrija Mamidipalli; Robert M Marks; Donald G Mitchell; Tara A Morgan; Michael A Ohliger; Amol Shah; Kim-Nhien Vu; Claude B Sirlin
Journal:  Radiology       Date:  2017-11-21       Impact factor: 11.105

Review 9.  Conflicting and new risk factors for contrast induced nephropathy.

Authors:  Omer Toprak
Journal:  J Urol       Date:  2007-10-22       Impact factor: 7.450

10.  Optimizing contrast media injection protocols in state-of-the art computed tomographic angiography.

Authors:  Michael M Lell; Gregor Jost; Johannes Georg Korporaal; Andreas Horst Mahnken; Thomas G Flohr; Michael Uder; Hubertus Pietsch
Journal:  Invest Radiol       Date:  2015-03       Impact factor: 6.016

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  1 in total

1.  Effects of different virtual monoenergetic CT image data on chest wall post-processing "unfolded ribs" and proposal of an algorithm improvement.

Authors:  Florian Hagen; Rainer Grimmer; Hendrik Ditt; Lukas Walder; Robin Wrazidlo; Baumgartner Karolin; Johannes Hofmann; Arne Estler; Marius Horger
Journal:  Int J Comput Assist Radiol Surg       Date:  2022-08-13       Impact factor: 3.421

  1 in total

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