Dual-energy CT (clinical applications)

Changed by R Liong, 16 Jun 2020

Updates to Article Attributes

Body was changed:

Dual-energy CT or multispectral CT is becoming increasingly more common in clinical practice due to the rapid rise in computer technology and expanding literature exhibiting vast advantages over conventional single energy CT. 

Clinical applications

The clinical practice, adaptation and techniques of dual-energy CT is broken into individual articles:

  • virtual non-contrast imaging 
  • vascular, f. ex.
    • automated bone removal in CT angiography 2
    • decrease metal device artifact7
    • detection of endoleaks7
    • blood pool imaging 2
      • detection of pulmonary embolism
      • detection of myocardial ischaemia 
  • urinary system
    • characterisation of renal stones 2
    • characterisation of renal cysts and masses 2-4
  • female breast
    • identification of silicone leaks from breast implants 2
    • improved tumour conspicuity of breast cancers relative to conventional CT, with potential determination of prognostic biomarkers such as ER and PR status6
  • musculoskeletal
    • detection of bone marrow edema
    • detection and quantification of urate crystals in gout
    • reduction of metal artifact7
  • abdominal imaging
    • pancreatic diseases 5
  • thoracic imaging
    • detection of pulmonary thromboembolism. Structural as well as functional information is obtained through iodine maps of pulmonary perfusion7
    • assessment of a solitary pulmonary nodule to determine malignancy status7,8
  • -<p><strong>Dual-energy CT </strong>or<strong> multispectral CT </strong>is becoming increasingly more common in clinical practice due to the rapid rise in computer technology and expanding literature exhibiting vast advantages over conventional single energy CT. </p><h4>Clinical applications</h4><p>The clinical practice, adaptation and techniques of <a title="Dual energy CT" href="/articles/dual-energy-ct-2">dual-energy CT </a>is broken into individual articles:</p><ul>
  • +<p><strong>Dual-energy CT </strong>or<strong> multispectral CT </strong>is becoming increasingly more common in clinical practice due to the rapid rise in computer technology and expanding literature exhibiting vast advantages over conventional single energy CT. </p><h4>Clinical applications</h4><p>The clinical practice, adaptation and techniques of <a href="/articles/dual-energy-ct-2">dual-energy CT </a>is broken into individual articles:</p><ul>
  • +<li>decrease metal device artifact<sup>7</sup>
  • +</li>
  • +<li>detection of endoleaks<sup>7</sup> </li>
  • -<sup>​</sup>female breast<ul><li>identification of silicone leaks from <a href="/articles/breast-implants">breast implants</a> <sup>2</sup>
  • -</li></ul>
  • +<sup>​</sup>female breast<ul>
  • +<li>identification of silicone leaks from <a href="/articles/breast-implants">breast implants</a> <sup>2</sup>
  • +</li>
  • +<li>improved tumour conspicuity of breast cancers relative to conventional CT, with potential determination of prognostic biomarkers such as ER and PR status<sup>6</sup>
  • +</li>
  • +</ul>
  • +<li>reduction of metal artifact<sup>7</sup>
  • +</li>
  • +<li>thoracic imaging<ul>
  • +<li>detection of pulmonary thromboembolism. Structural as well as functional information is obtained through iodine maps of pulmonary perfusion<sup>7</sup>
  • +</li>
  • +<li>assessment of a solitary pulmonary nodule to determine malignancy status<sup>7,8</sup>
  • +</li>
  • +</ul>
  • +</li>

References changed:

  • 6. Moon J, Choi B, Baek H et al. Comprehensive Analyses with Radiological and Biological Markers of Breast Cancer on Contrast-Enhanced Chest CT: A Single Center Experience Using Dual-Layer Spectral Detector CT. Eur Radiol. 2020;30(5):2782-90. <a href="https://doi.org/10.1007/s00330-019-06615-9">doi:10.1007/s00330-019-06615-9</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/32025829">Pubmed</a>
  • 7. Cicero G, Ascenti G, Albrecht M et al. Extra-Abdominal Dual-Energy CT Applications: A Comprehensive Overview. Radiol Med. 2020;125(4):384-97. <a href="https://doi.org/10.1007/s11547-019-01126-5">doi:10.1007/s11547-019-01126-5</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/31925704">Pubmed</a>
  • 8. Wu L, Cao G, Zhao L et al. Spectral CT Analysis of Solitary Pulmonary Nodules for Differentiating Malignancy from Benignancy: The Value of Iodine Concentration Spatial Distribution Difference. Biomed Res Int. 2018;2018:4830659. <a href="https://doi.org/10.1155/2018/4830659">doi:10.1155/2018/4830659</a> - <a href="https://www.ncbi.nlm.nih.gov/pubmed/30627561">Pubmed</a>

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