Published Online:https://doi.org/10.1148/rg.2016160069

Dual-energy CT in emergency neurologic imaging is a powerful tool that may be helpful for interpreting CT angiographic findings, identifying contrast material extravasation, increasing the conspicuity of hemorrhage, and characterizing the material composition of indeterminate lesions.

Dual-energy computed tomography (CT) is a powerful diagnostic tool that is becoming more widely clinically available. Dual-energy CT has the potential to aid in the detection or add diagnostic confidence in the evaluation of a variety of emergent neurologic conditions with use of postprocessing techniques that allow one to take advantage of the different x-ray energy–dependent absorption behaviors of different materials. Differentiating iodine from hemorrhage may help in delineating CT angiographic spot signs, which are small foci of intracranial hemorrhage seen on CT angiograms in cases of acute hemorrhage. Bone subtraction can be used to effectively exclude osseous structures surrounding enhancing vessels at imaging for improved vessel visualization and to create images that are similar in appearance to three-dimensional magnetic resonance imaging vessel reconstructions. Bone subtraction may also be helpful for improving the conspicuity of small extra-axial fluid collections and extra-axial masses. Material characterization can be helpful for clarifying whether small foci of intermediate attenuation represent hemorrhage, calcification, or a foreign material, and it may also be useful for quantifying the amount of hemorrhage or iodine in preexisting or incidentally detected lesions. Virtual monochromatic imaging also can be used to problem solve in challenging cases.

©RSNA, 2016

References

  • 1. Gupta R, Phan CM, Leidecker C, et al. Evaluation of dual-energy CT for differentiating intracerebral hemorrhage from iodinated contrast material staining. Radiology 2010;257(1):205–211. LinkGoogle Scholar
  • 2. Burke JF, Kerber KA, Iwashyna TJ, Morgenstern LB. Wide variation and rising utilization of stroke magnetic resonance imaging: data from 11 states. Ann Neurol 2012;71(2):179–185. Crossref, MedlineGoogle Scholar
  • 3. Phan CM, Yoo AJ, Hirsch JA, Nogueira RG, Gupta R. Differentiation of hemorrhage from iodinated contrast in different intracranial compartments using dual-energy head CT. AJNR Am J Neuroradiol 2012;33(6):1088–1094. Crossref, MedlineGoogle Scholar
  • 4. Gariani J, Cuvinciuc V, Courvoisier D, et al. Diagnosis of acute ischemia using dual energy CT after mechanical thrombectomy. J Neurointerv Surg 2016;8(10):996–1000. Crossref, MedlineGoogle Scholar
  • 5. McCollough CH, Leng S, Yu L, Fletcher JG. Dual- and multi-energy CT: principles, technical approaches, and clinical applications. Radiology 2015;276(3):637–653. LinkGoogle Scholar
  • 6. Kim SJ, Lim HK, Lee HY, et al. Dual-energy CT in the evaluation of intracerebral hemorrhage of unknown origin: differentiation between tumor bleeding and pure hemorrhage. AJNR Am J Neuroradiol 2012;33(5):865–872. Crossref, MedlineGoogle Scholar
  • 7. Lin CH, Chen YY, Chiu LA, Lee KW. Dual energy computed tomography angiography for the rapid diagnosis of reversible cerebral vasoconstriction syndromes: report of a case. Acta Neurol Taiwan 2013;22(1):36–42. MedlineGoogle Scholar
  • 8. Liang T, McLaughlin PD, Louis L, Nicolaou S. Review of multidetector computed tomography angiography as a screening modality in the assessment of blunt vascular neck injuries. Can Assoc Radiol J 2013;64(2):130–139. Crossref, MedlineGoogle Scholar
  • 9. Dinkel J, Khalilzadeh O, Phan CM, et al. Technical limitations of dual-energy CT in neuroradiology: 30-month institutional experience and review of literature. J Neurointerv Surg 2015;7(8):596–602. Crossref, MedlineGoogle Scholar
  • 10. Hu R, Besheli LD, Young J, Wu M, Pomerantz S. Dual-energy head CT enables accurate distinction of intraparenchymal hemorrhage from calcification in emergency department patients. Radiology 2016;280(1):177–183. LinkGoogle Scholar
  • 11. De Crop A, Casselman J, Van Hoof T, et al. Analysis of metal artifact reduction tools for dental hardware in CT scans of the oral cavity: kVp, iterative reconstruction, dual-energy CT, metal artifact reduction software—does it make a difference? Neuroradiology 2015;57(8):841–849. Crossref, MedlineGoogle Scholar
  • 12. Wada R, Aviv RI, Fox AJ, et al. CT angiography “spot sign” predicts hematoma expansion in acute intracerebral hemorrhage. Stroke 2007;38(4):1257–1262. Crossref, MedlineGoogle Scholar
  • 13. Huang JY, Kerns JR, Nute JL, et al. An evaluation of three commercially available metal artifact reduction methods for CT imaging. Phys Med Biol 2015;60(3):1047–1067. Crossref, MedlineGoogle Scholar
  • 14. Brouwers HB, Goldstein JN, Romero JM, Rosand J. Clinical applications of the computed tomography angiography spot sign in acute intracerebral hemorrhage: a review. Stroke 2012;43(12):3427–3432. Crossref, MedlineGoogle Scholar
  • 15. Zhang LJ, Wu SY, Niu JB, et al. Dual-energy CT angiography in the evaluation of intracranial aneurysms: image quality, radiation dose, and comparison with 3D rotational digital subtraction angiography. AJR Am J Roentgenol 2010;194(1):23–30. Crossref, MedlineGoogle Scholar
  • 16. Delgado Almandoz JE, Yoo AJ, Stone MJ, et al. Systematic characterization of the computed tomography angiography spot sign in primary intracerebral hemorrhage identifies patients at highest risk for hematoma expansion: the spot sign score. Stroke 2009;40(9):2994–3000. Crossref, MedlineGoogle Scholar
  • 17. Deng K, Liu C, Ma R, et al. Clinical evaluation of dual-energy bone removal in CT angiography of the head and neck: comparison with conventional bone-subtraction CT angiography. Clin Radiol 2009;64(5):534–541. Crossref, MedlineGoogle Scholar
  • 18. Schneider D, Apfaltrer P, Sudarski S, et al. Optimization of kiloelectron volt settings in cerebral and cervical dual-energy CT angiography determined with virtual monoenergetic imaging. Acad Radiol 2014;21(4):431–436. Crossref, MedlineGoogle Scholar
  • 19. Won SY, Schlunk F, Dinkel J, et al. Imaging of contrast medium extravasation in anticoagulation-associated intracerebral hemorrhage with dual-energy computed tomography. Stroke 2013;44(10):2883–2890. Crossref, MedlineGoogle Scholar
  • 20. Buerke B, Puesken M, Wittkamp G, et al. Bone subtraction CTA for transcranial arteries: intra-individual comparison with standard CTA without bone subtraction and TOF-MRA. Clin Radiol 2010;65(6):440–446. Crossref, MedlineGoogle Scholar
  • 21. Bahner ML, Bengel A, Brix G, Zuna I, Kauczor HU, Delorme S. Improved vascular opacification in cerebral computed tomography angiography with 80 kVp. Invest Radiol 2005;40(4):229–234. Crossref, MedlineGoogle Scholar
  • 22. Ferda J, Novák M, Mírka H, et al. The assessment of intracranial bleeding with virtual unenhanced imaging by means of dual-energy CT angiography. Eur Radiol 2009;19(10): 2518–2522. Crossref, MedlineGoogle Scholar
  • 23. Jiang XY, Zhang SH, Xie QZ, et al. Evaluation of virtual noncontrast images obtained from dual-energy CTA for diagnosing subarachnoid hemorrhage. AJNR Am J Neuroradiol 2015;36(5):855–860. Crossref, MedlineGoogle Scholar
  • 24. Morhard D, Fink C, Graser A, Reiser MF, Becker C, Johnson TR. Cervical and cranial computed tomographic angiography with automated bone removal: dual energy computed tomography versus standard computed tomography. Invest Radiol 2009;44(5):293–297. Crossref, MedlineGoogle Scholar
  • 25. Yu L, Leng S, McCollough CH. Dual-energy CT-based monochromatic imaging. AJR Am J Roentgenol 2012;199 (5 suppl):S9–S15. Crossref, MedlineGoogle Scholar
  • 26. Pomerantz SR, Kamalian S, Zhang D, et al. Virtual monochromatic reconstruction of dual-energy unenhanced head CT at 65-75 keV maximizes image quality compared with conventional polychromatic CT. Radiology 2013;266(1): 318–325. LinkGoogle Scholar
  • 27. Shinohara Y, Sakamoto M, Iwata N, et al. Usefulness of monochromatic imaging with metal artifact reduction software for computed tomography angiography after intracranial aneurysm coil embolization. Acta Radiol 2014;55(8):1015–1023. Crossref, MedlineGoogle Scholar
  • 28. Jia Y, Zhang J, Fan J, et al. Gemstone spectral imaging reduced artefacts from metal coils or clips after treatment of cerebral aneurysms: a retrospective study of 35 patients. Br J Radiol 2015;88(1055):20150222. Crossref, MedlineGoogle Scholar
  • 29. ACR–AAPM Practice Parameter for Diagnostic Reference Levels and Achievable Doses in Medical X-ray Imaging. http://www.acr.org/∼/media/ACR/Documents/PGTS/guidelines/Reference_Levels_Diagnostic_Xray.pdf. Published 2002. Amended 2014. Accessed February 10, 2016. Google Scholar

Article History

Received: Mar 23 2016
Revision requested: May 20 2016
Revision received: May 30 2016
Accepted: June 15 2016
Published online: Nov 10 2016
Published in print: Nov 2016