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Research ArticleAdult Brain

MTT Heterogeneity in Perfusion CT Imaging as a Predictor of Outcome after Aneurysmal SAH

B.B. Hofmann, I. Fischer, A. Engel, K. Jannusch, D.M. Donaldson, C. Karadag, J.H. van Lieshout, K. Beseoglu, S. Muhammad, B. Turowski, D. Hänggi, M.A. Kamp and C. Rubbert
American Journal of Neuroradiology August 2021, 42 (8) 1387-1395; DOI: https://doi.org/10.3174/ajnr.A7169
B.B. Hofmann
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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I. Fischer
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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A. Engel
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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K. Jannusch
bDepartment of Diagnostic and Interventional Radiology (K.J., B.T., C.R.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany.
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D.M. Donaldson
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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C. Karadag
cMedical Faculty (C.K.), University Düsseldorf, Düsseldorf, Germany
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J.H. van Lieshout
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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K. Beseoglu
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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S. Muhammad
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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B. Turowski
bDepartment of Diagnostic and Interventional Radiology (K.J., B.T., C.R.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany.
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D. Hänggi
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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M.A. Kamp
aFrom the Department of Neurosurgery (B.B.H., I.F., A.E., D.M.D., C.K., J.H.v.L., K.B., S.M., D.H., M.A.K.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany
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C. Rubbert
bDepartment of Diagnostic and Interventional Radiology (K.J., B.T., C.R.), Medical Faculty, University Düsseldorf, Düsseldorf, Germany.
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  • FIG 1.
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    FIG 1.

    Exemplary illustration of CTP imaging in patients with SAH. A, A series of axial CTP scans at the level of the cella media of the lateral ventricles, parallel to the orbitomeatal plane, thereby representing 6 supratentorial vessel territories. B, Calculated perfusion parameter maps in clockwise order from top left: MTT, Tmax, and semi-quantitative relative CBF (rCBF) as well as CBV (rCBV). C, Depiction of the ROI automatically defined along the cortex. Readout starts in the territory of the right posterior cerebral artery and is carried out in a clockwise manner using a sliding-window approach (mean across 10° in 2° steps). D, Display of 180 measurements across 360° (red, MTT; black, Tmax; yellow, rCBF; white, rCBV). E, Mean perfusion parameters over 5 CTP scans for the left hemisphere on the left and the right hemisphere on the right side. Note the marked pathologic elevation of MTT (red) in the third scan.

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    FIG 2.

    Correlation of MTT and the cvMTT with the dichotomized outcome after 6 months. A, Mean MTT distribution of the Fisher grade (left) and the WFNS grades (right). The MTT did not correlate with the initial WFNS grade (P = .18) or Fisher grade (P = .86) at admission. B, cvMTT distribution for the Fisher grade (left) and the WFNS grades (right). The cvMTT correlates significantly with the WFNS (P = .014) and the Fisher grade (P = .011) at admission. C, Upper graph: MTT as a predictor of the dichotomized mRS after 6 months (logistic regression: OR =1.05, 95% CI, 1.004–1.103; P = .034); lower graph: cvMTT as a predictor of the dichotomized mRS after 6 months (logistic regression: OR = 5.09; 95% CI, 1.46–17.77; P = .011). D, cvMTT for favorable and unfavorable outcomes (mRS after 6 months ≤2 and ≥3, respectively). Pr(mRS ≥ 3) indicates probability (mRS >= 3).

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    FIG 3.

    The time of cvMTT-peak does not correlate with the outcome after 6 months. A, Histogram shows the number of patients with the cvMTT-peak with respect to the days after SAH. B, No significant correlation between the time of reaching the cvMTT-peak and the dichotomized patient outcomes after 6 months could be observed (logistic regression: OR =1.03; 95% CI, 0.55–1.93; P = .4). Pr(mRS ≥ 3) indicates probability (mRS >= 3).

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    Table 1:

    Descriptive statistics

    All PatientsmRS <3mRS ≥3
    No. (%)No. (%)No. (%)
    Age
        Younger than 50 yr41 (31.06)34 (42.5)7 (13.5)
        50 Years or older91 (68.94)46 (57.5)45 (86.5)
    Sex
        Female91 (68.9)57 (71.2)34 (65.4)
        Male41 (31.1)23 (28.8)18 (34.6)
    WFNS grade
        I–III64 (48.48)50 (62.5)14 (26.9)
        IV–V68 (51.52)30 (37.5)38 (73.1)
    Fisher grade
        0–223 (17.42)20 (25)3 (5.8)
        3–4109 (82.58)60 (75)49 (92.2)
    Aneurysm location
        ACA1 (0.76)0 (0)1 (1.9)
        AcomA53 (40.15)31 (38.8)22 (42.3)
        BA13 (9.85)8 (10)5 (9.6)
        ICA6 (4.55)3 (3.75)3 (5.8)
        MCA21 (15.91)12 (15)9 (17.3)
        PcaA4 (3.03)1 (1.25)3 (5.8)
        PcomA18 (13.64)15 (18.8)3 (5.8)
        PICA9 (6.82)5 (6.25)4 (7.7)
        SCA2 (1.52)2 (2.5)0 (0)
        VA3 (2.27)1 (1.25)2 (3.8)
        Other2 (1.52)2 (2.5)0 (0)
    • Note:—ACA indicates anterior cerebral artery; AcomA, anterior communicating artery; BA, basilar artery; PcaA, pericallosal artery; PcomA, posterior communicating artery; VA, vertebral artery; SCA, superior cerebellar artery.

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    Table 2:

    Treatment modalities and outcome after 6 months

    No. (%)
    Extraventricular drainage
        Yes87 (65.9)
        No45 (34.1)
    Endovascular treatment66 (50)
    Surgical treatment60 (45.5)
    Combined/no treatment6 (4.5)
    mRS 6 mo
        0–280 (60.6)
        3–527 (20.5)
        625 (18.9)
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American Journal of Neuroradiology: 42 (8)
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B.B. Hofmann, I. Fischer, A. Engel, K. Jannusch, D.M. Donaldson, C. Karadag, J.H. van Lieshout, K. Beseoglu, S. Muhammad, B. Turowski, D. Hänggi, M.A. Kamp, C. Rubbert
MTT Heterogeneity in Perfusion CT Imaging as a Predictor of Outcome after Aneurysmal SAH
American Journal of Neuroradiology Aug 2021, 42 (8) 1387-1395; DOI: 10.3174/ajnr.A7169

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MTT Heterogeneity in Perfusion CT Imaging as a Predictor of Outcome after Aneurysmal SAH
B.B. Hofmann, I. Fischer, A. Engel, K. Jannusch, D.M. Donaldson, C. Karadag, J.H. van Lieshout, K. Beseoglu, S. Muhammad, B. Turowski, D. Hänggi, M.A. Kamp, C. Rubbert
American Journal of Neuroradiology Aug 2021, 42 (8) 1387-1395; DOI: 10.3174/ajnr.A7169
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