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Research ArticleBrain
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CT Perfusion Mean Transit Time Maps Optimally Distinguish Benign Oligemia from True “At-Risk” Ischemic Penumbra, but Thresholds Vary by Postprocessing Technique

Shervin Kamalian, Shahmir Kamalian, A.A. Konstas, M.B. Maas, S. Payabvash, S.R. Pomerantz, P.W. Schaefer, K.L. Furie, R.G. González and M.H. Lev
American Journal of Neuroradiology March 2012, 33 (3) 545-549; DOI: https://doi.org/10.3174/ajnr.A2809
Shervin Kamalian
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Shahmir Kamalian
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A.A. Konstas
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M.B. Maas
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S. Payabvash
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S.R. Pomerantz
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P.W. Schaefer
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K.L. Furie
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R.G. González
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M.H. Lev
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  • Fig 1.
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    Fig 1.

    Expansion of core infarct size (area of selected axial section) between the admission DWI scan and the coregistered follow-up CT or MR imaging was an inclusion criterion, and was present in all patients (left). Sample ROC curves (right) showing the sensitivity/specificity of different CTP parameter thresholds used to define “at-risk” penumbra destined to infarct, comparing maps processed by using standard software. Green curves represent rMTT; blue curves, rCBF; orange, rCBV; and purple, the rCBF*rCBV voxel product value maps.

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    Fig 2.

    Example of thresholded MTT map prediction of penumbra destined to infarct in a 70-year-old woman presenting with left hemispheric stroke symptoms. Ictus-to-CTP imaging time was 5 hours 33 minutes, admission NIHSS score was 6, and follow-up MR imaging was performed 44 hours after admission CTP scanning; NIHSS score was 12. Infarct core is segmented on the admission DWI scan (A, and red overlays on D, E), and final infarct volume is segmented on follow-up DWI scan (B). CT-MTT map shows blue/green regions with increased mean transit time (C). D and E, respectively, show the optimally thresholded absolute-MTT (12 seconds threshold) and relative-MTT (249% threshold) maps, both postprocessed by using standard algorithm, which distinguish benign oligemia (green overlays) from true “at-risk” ischemic penumbra (blue overlays).

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  • Optimal absolute and rMTT thresholds for identification of penumbra destined to infarct

    aMTTAUCaT (s)SensSpecrMTTAUCrT (%)SensSpec
    Std softwareAll0.7612.00.6500.761All0.782490.6460.796
    GM0.7612.00.6620.750GM0.782500.6570.785
    WM0.7713.10.6480.778WM0.782500.6760.778
    BG0.6113.30.2890.938BG0.631980.3260.922
    DC softwareAll0.7213.50.6390.704All0.711500.6490.692
    GM0.7312.00.7320.636GM0.731420.7130.663
    WM0.7114.40.6150.718WM0.701670.5990.725
    BG0.6313.80.3770.796BG0.631140.5420.641
    • Note:—All whole-brain optimal thresholds. GM indicates gray matter; BG, basal ganglia region-specific thresholds; aT, absolute thresholds (sec); rT, relative thresholds; sens, sensitivity; spec, specificity; std, standard algorithm; DC, delay-corrected algorithm; aMTT, absolute MTT.

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American Journal of Neuroradiology: 33 (3)
American Journal of Neuroradiology
Vol. 33, Issue 3
1 Mar 2012
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Shervin Kamalian, Shahmir Kamalian, A.A. Konstas, M.B. Maas, S. Payabvash, S.R. Pomerantz, P.W. Schaefer, K.L. Furie, R.G. González, M.H. Lev
CT Perfusion Mean Transit Time Maps Optimally Distinguish Benign Oligemia from True “At-Risk” Ischemic Penumbra, but Thresholds Vary by Postprocessing Technique
American Journal of Neuroradiology Mar 2012, 33 (3) 545-549; DOI: 10.3174/ajnr.A2809

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CT Perfusion Mean Transit Time Maps Optimally Distinguish Benign Oligemia from True “At-Risk” Ischemic Penumbra, but Thresholds Vary by Postprocessing Technique
Shervin Kamalian, Shahmir Kamalian, A.A. Konstas, M.B. Maas, S. Payabvash, S.R. Pomerantz, P.W. Schaefer, K.L. Furie, R.G. González, M.H. Lev
American Journal of Neuroradiology Mar 2012, 33 (3) 545-549; DOI: 10.3174/ajnr.A2809
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