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AJNR is seeking candidates for the AJNR Podcast Editor. Read the position description.

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A. Morotti, J.M. Romero, R. Gupta and J.N. Goldstein
American Journal of Neuroradiology October 2016, 37 (10) E64; DOI: https://doi.org/10.3174/ajnr.A4887
A. Morotti
aDepartment of Clinical and Experimental Sciences, Neurology Clinic University of Brescia, Brescia, Italy
bJ. P. Kistler Stroke Research Center Massachusetts General Hospital, Harvard Medical SchoolBoston, Massachusetts
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J.M. Romero
cNeuroradiology Service, Department of Radiology Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts
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R. Gupta
cNeuroradiology Service, Department of Radiology Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts
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J.N. Goldstein
dJ. P. Kistler Stroke Research Center
eDepartment of Emergency Medicine Massachusetts General Hospital, Harvard Medical School Boston, Massachusetts
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We thank Drs Vargas and Lovblad for their interest and comments on our article investigating the influence of CTA tube current on spot sign detection and prediction of intracerebral hemorrhage expansion. The role of dual-energy CT (DECT) in spot sign identification has not been extensively and systematically investigated, to our knowledge, and we agree that more research on the use of this technique is needed. DECT can distinguish different types of materials with high sensitivity and specificity.1,2 As shown in the figure provided by Drs Vargas and Lovblad, DECT can remove spots of iodine extraction from the virtual noncontrast images and map them to the iodine-overlay images. The degree to which this separation is effective and the minimum concentration of extravasated iodine separable from hematoma, in situ, are currently unknown. Therefore, how the single-energy CT spot sign should be translated in the context of dual-energy remains a topic of research. For example, it is not clear whether one should be counting the number of spots on the iodine-overlay images or computing the total amount of extravasated iodine in the iodine-overlay images. We would like to highlight the following additional points:

  1. There is great heterogeneity in the CTA acquisition protocol,3 and several factors such as the time from stroke onset to CTA and acquisition of delayed images4,5 can influence the rate of spot sign identification and its ability to identify patients at high risk of hematoma expansion. Therefore, the relatively low sensitivity (53%) reported by Du et al6 in a recent meta-analysis cannot be directly attributed to the use of DECT.

  2. It is difficult to compare the frequency and diagnostic performance of the spot sign across different studies because several definitions of spot sign and hematoma expansion have been reported and used in clinical practice.4

  3. DECT has the ability to reduce artifacts and to remodel the signal-to-noise ratio7 and may therefore provide an additional diagnostic value in case of poor-quality scans.

  4. Vascular and nonvascular cerebral lesions like aneurysms or calcifications can mimic the spot sign,8 and DECT appears superior to conventional CTA in the identification of these mimics.7

  5. There are multiple implementations of DECT, and not all of them are dose-neutral compared with a single-energy CT scan. In general, the advantages of DECT use need to be balanced against the risk of increased radiation delivery.9

In conclusion, DECT is a promising technique, but its role in spot sign identification is still unclear.

References

  1. 1.↵
    1. Gupta R,
    2. Phan CM,
    3. Leidecker C, et al
    . Evaluation of dual-energy CT for differentiating intracerebral hemorrhage from iodinated contrast material staining. Radiology 2010;257:205–11 doi:10.1148/radiol.10091806 pmid:20679449
    CrossRefPubMed
  2. 2.↵
    1. Phan CM,
    2. Yoo AJ,
    3. Hirsch JA, et al
    . Differentiation of hemorrhage from iodinated contrast in different intracranial compartments using dual-energy head CT. AJNR Am J Neuroradiol 2012;33:1088–94 doi:10.3174/ajnr.A2909 pmid:22268092
    Abstract/FREE Full Text
  3. 3.↵
    1. Huynh TJ,
    2. Demchuk AM,
    3. Dowlatshahi D, et al
    ; PREDICT/Sunnybrook ICH CTA Study Group. Spot sign number is the most important spot sign characteristic for predicting hematoma expansion using first-pass computed tomography angiography: analysis from the PREDICT study. Stroke 2013;44:972–77 doi:10.1161/STROKEAHA.111.000410 pmid:23444309
    Abstract/FREE Full Text
  4. 4.↵
    1. Brouwers HB,
    2. Goldstein JN,
    3. Romero JM, et al
    . Clinical applications of the computed tomography angiography spot sign in acute intracerebral hemorrhage: a review. Stroke 2012;43:3427–32 doi:10.1161/STROKEAHA.112.664003 pmid:23132779
    FREE Full Text
  5. 5.↵
    1. Ciura VA,
    2. Brouwers HB,
    3. Pizzolato R, et al
    . Spot sign on 90-second delayed computed tomography angiography improves sensitivity for hematoma expansion and mortality: prospective study. Stroke 2014;45:3293–97 doi:10.1161/STROKEAHA.114.005570 pmid:25300974
    Abstract/FREE Full Text
  6. 6.↵
    1. Du F,
    2. Jiang R,
    3. Gu M, et al
    . The accuracy of spot sign in predicting hematoma expansion after intracerebral hemorrhage: a systematic review and meta-analysis. PLoS One 2014;9:e115777 doi:10.1371/journal.pone.0115777 pmid:25541717
    CrossRefPubMed
  7. 7.↵
    1. Postma AA,
    2. Das M,
    3. Stadler AA, et al
    . Dual-energy CT: what the neuroradiologist should know. Curr Radiol Rep 2015;3:16 doi:10.1007/s40134-015-0097-9 pmid:25815242
    CrossRefPubMed
  8. 8.↵
    1. Gazzola S,
    2. Aviv RI,
    3. Gladstone DJ, et al
    . Vascular and nonvascular mimics of the CT angiography “spot sign” in patients with secondary intracerebral hemorrhage. Stroke 2008;39:1177–83 doi:10.1161/STROKEAHA.107.499442 pmid:18292380
    Abstract/FREE Full Text
  9. 9.↵
    1. Smith AB,
    2. Dillon WP,
    3. Gould R, et al
    . Radiation dose-reduction strategies for neuroradiology CT protocols. AJNR Am J Neuroradiol 2007;28:1628–32 doi:10.3174/ajnr.A0814 pmid:17893208
    Abstract/FREE Full Text
  • © 2016 by American Journal of Neuroradiology
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American Journal of Neuroradiology: 37 (10)
American Journal of Neuroradiology
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A. Morotti, J.M. Romero, R. Gupta, J.N. Goldstein
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American Journal of Neuroradiology Oct 2016, 37 (10) E64; DOI: 10.3174/ajnr.A4887

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A. Morotti, J.M. Romero, R. Gupta, J.N. Goldstein
American Journal of Neuroradiology Oct 2016, 37 (10) E64; DOI: 10.3174/ajnr.A4887
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