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Research ArticleNeurointervention

Exploring the Value of Using Color-Coded Quantitative DSA Evaluation on Bilateral Common Carotid Arteries in Predicting the Reliability of Intra-Ascending Aorta Flat Detector CT–CBV Maps

Q. Zhang, R. Xu, Q. Sun, H. Zhang, J. Mao, T. Shan, W. Pan, Y. Deuerling-Zheng, M. Kowarschik and J. Beilner
American Journal of Neuroradiology May 2015, 36 (5) 960-966; DOI: https://doi.org/10.3174/ajnr.A4238
Q. Zhang
aFrom the Beijing PLA Military General Hospital (Q.Z., R.X., H.Z., J.M., T.S., W.P.), Affiliated Bayi Brain Hospital, Beijing, China
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R. Xu
aFrom the Beijing PLA Military General Hospital (Q.Z., R.X., H.Z., J.M., T.S., W.P.), Affiliated Bayi Brain Hospital, Beijing, China
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Q. Sun
bHealthcare Sector (Q.S., J.B.), Siemens Ltd China, Beijing, China
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H. Zhang
aFrom the Beijing PLA Military General Hospital (Q.Z., R.X., H.Z., J.M., T.S., W.P.), Affiliated Bayi Brain Hospital, Beijing, China
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J. Mao
aFrom the Beijing PLA Military General Hospital (Q.Z., R.X., H.Z., J.M., T.S., W.P.), Affiliated Bayi Brain Hospital, Beijing, China
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T. Shan
aFrom the Beijing PLA Military General Hospital (Q.Z., R.X., H.Z., J.M., T.S., W.P.), Affiliated Bayi Brain Hospital, Beijing, China
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W. Pan
aFrom the Beijing PLA Military General Hospital (Q.Z., R.X., H.Z., J.M., T.S., W.P.), Affiliated Bayi Brain Hospital, Beijing, China
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Y. Deuerling-Zheng
cSiemens AG (Y.D.-Z., M.K.), Erlangen, Germany.
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M. Kowarschik
cSiemens AG (Y.D.-Z., M.K.), Erlangen, Germany.
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J. Beilner
bHealthcare Sector (Q.S., J.B.), Siemens Ltd China, Beijing, China
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  • Fig 1.
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    Fig 1.

    As an example, in patient 5, a conventional DSA sequence at 5 time instances shows the course of CM passing through the aortic arch and its major branching arteries (A). In the generated CCQ-DSA image, ROIs are defined on bilateral CCAs as red (ROI-R) and green (ROI-L) rectangles (B). Corresponding TDCs were extracted from the defined ROI, showing good correlation between the 2 curves (C). On the CBV maps (D), 3 planes were selected (upper panel). The lower panel corresponded to the above planes (left, plane 1; middle, plane 2; right, plane 3), with ROIs defined in pairs (ROI-R on the right hemisphere and ROI-L on the left hemisphere) on each plane covering characteristic anatomic structures to examine rCBV on 2 hemispheres: the frontal and parietal lobes in plane 1; frontal lobe and basal ganglia region in plane 2; and temporal lobe in plane 3.

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    Fig 2.

    As an example, in patient 11, conventional DSA sequence at 5 time instances shows the course of CM passing through the aortic arch and its major branching arteries (A). In the generated CCQ-DSA image, ROIs were defined on bilateral CCAs (B). Corresponding TDCs were extracted from the defined ROIs, showing large deviations in magnitude between the 2 curves (C). CBV maps evidently show low perfusion levels in plane 1 (lower panel, left) in the parietal lobe, in plane 2 (lower panel, middle) in both the frontal lobe and basal ganglia region, and in plane 3 (lower panel, right) in the temporal lobe (D).

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    Fig 3.

    Linear regression analysis shows that rAUC and rCBV with the most asymmetry have approximately a linear relationship.

Tables

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    Table 1:

    Patient diagnostic and treatment information

    Patient No.Age (yr)SexDSA DiagnosisTreatment
    135FemaleLeft internal carotid artery aneurysmStent-assisted coiling
    249MaleLeft internal carotid artery aneurysmMedication
    346MaleSagittal sinus thrombusMedication
    443MaleSellar mass–
    554FemaleSubarachnoid hemorrhageMedication
    647MaleFurther investigation neededMedication
    750MaleMild stenosis on right vertebral artery–
    849MaleFurther investigation needed–
    937MaleFurther investigation neededMedication
    1067MaleHemorrhage on left occipital lobeMedication
    1151FemaleFurther investigation needed–
    1264FemaleGlomus jugulare tumorMedication + lumbar puncture
    • View popup
    Table 2:

    From the CCQ-DSA images, AUC values calculated for TDCs extracted from ROIs on bilateral CCAs and the AUC ratio between left and right sides

    Patient No.AUC-ROI-R (Reference)AUC-ROI-LrAUC
    111.021.02
    211.011.01
    311.011.01
    410.980.98
    511.011.01
    611.031.03
    710.980.98
    810.760.76
    910.830.83
    1010.800.80
    1110.760.76
    1210.970.97
    • Note:—R indicates right; L, left.

    • View popup
    Table 3:

    Quantitative CBV measurement and perfusion symmetry of patients

    PlanesPatient No.
    123456789101112
    Plane 1
        ROI1-R292627261618182023232620
        ROI1-L282527241519181919222218
        rCBV0.970.961.000.920.941.061.000.950.830.960.850.90
        ROI2-R222123192020172225162517
        ROI2-L232020172020171521142818
        rCBV1.050.950.870.891.001.001.000.680.840.880.721.06
    Plane 2
        ROI1-R142520191013162224152318
        ROI1-L142322201012162020141619
        rCBV1.000.921.101.051.000.921.000.910.830.930.701.06
        ROI2-R292733341428283530343331
        ROI2-L272431301326292723262728
        rCBV0.930.890.940.880.930.931.040.770.770.760.820.90
    Plane 3
        ROI1-R172524251421202020242523
        ROI1-L172322231420191617202022
        rCBV1.000.920.920.921.000.950.950.800.850.830.800.96
    rCBV with most asymmetry0.930.890.870.880.930.920.950.68a0.77a0.76a0.70a0.90
    • ↵a Significant asymmetric perfusion was detected.

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American Journal of Neuroradiology: 36 (5)
American Journal of Neuroradiology
Vol. 36, Issue 5
1 May 2015
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Q. Zhang, R. Xu, Q. Sun, H. Zhang, J. Mao, T. Shan, W. Pan, Y. Deuerling-Zheng, M. Kowarschik, J. Beilner
Exploring the Value of Using Color-Coded Quantitative DSA Evaluation on Bilateral Common Carotid Arteries in Predicting the Reliability of Intra-Ascending Aorta Flat Detector CT–CBV Maps
American Journal of Neuroradiology May 2015, 36 (5) 960-966; DOI: 10.3174/ajnr.A4238

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Exploring the Value of Using Color-Coded Quantitative DSA Evaluation on Bilateral Common Carotid Arteries in Predicting the Reliability of Intra-Ascending Aorta Flat Detector CT–CBV Maps
Q. Zhang, R. Xu, Q. Sun, H. Zhang, J. Mao, T. Shan, W. Pan, Y. Deuerling-Zheng, M. Kowarschik, J. Beilner
American Journal of Neuroradiology May 2015, 36 (5) 960-966; DOI: 10.3174/ajnr.A4238
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