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Research ArticleBrain
Open Access

Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting

I.L. Štep̌án-Buksakowska, J.M. Accurso, F.E. Diehn, J. Huston, T.J. Kaufmann, P.H. Luetmer, C.P. Wood, X. Yang, D.J. Blezek, R. Carter, C. Hagen, D. Hořínek, A. Hejčl, M. Roček and B.J. Erickson
American Journal of Neuroradiology October 2014, 35 (10) 1897-1902; DOI: https://doi.org/10.3174/ajnr.A3996
I.L. Štep̌án-Buksakowska
aFrom the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.)
dInternational Clinical Research Center (I.L.Š.-B., D.H., A.H.), St. Anne's University Hospital Brno, Brno, Czech Republic
eDepartment of Radiology (I.L.Š.-B., M.R.), Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
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J.M. Accurso
fDepartment of Radiology (J.M.A.), Mayo Clinic, Jacksonville, Florida
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F.E. Diehn
aFrom the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.)
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J. Huston
aFrom the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.)
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T.J. Kaufmann
aFrom the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.)
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P.H. Luetmer
aFrom the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.)
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C.P. Wood
aFrom the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.)
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X. Yang
cDepartment of Information Services (X.Y., D.J.B.), Mayo Clinic, Rochester, Minnesota
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D.J. Blezek
cDepartment of Information Services (X.Y., D.J.B.), Mayo Clinic, Rochester, Minnesota
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R. Carter
bDivision of Biomedical Statistics and Informatics (R.C., C.H.)
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C. Hagen
bDivision of Biomedical Statistics and Informatics (R.C., C.H.)
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D. Hořínek
dInternational Clinical Research Center (I.L.Š.-B., D.H., A.H.), St. Anne's University Hospital Brno, Brno, Czech Republic
gDepartment of Neurosurgery (D.H., A.H.), Masaryk Hospital, Ústí nad Labem, Czech Republic
hDepartment of Neurosurgery (D.H.), Central Military Hospital, Prague, Czech Republic.
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A. Hejčl
dInternational Clinical Research Center (I.L.Š.-B., D.H., A.H.), St. Anne's University Hospital Brno, Brno, Czech Republic
gDepartment of Neurosurgery (D.H., A.H.), Masaryk Hospital, Ústí nad Labem, Czech Republic
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M. Roček
eDepartment of Radiology (I.L.Š.-B., M.R.), Second Faculty of Medicine, Charles University and University Hospital Motol, Prague, Czech Republic
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B.J. Erickson
aFrom the Department of Radiology (I.L.Š.-B., F.E.D., J.H., T.J.K., P.H.L., C.P.W., B.J.E.)
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    Fig 1.

    Example of examination visualization in a patient without an intracranial aneurysm. The CAD outputs are depicted as blue dots on different MRA projections (shown here as gray dots).

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    Fig 2.

    Rendering showing the algorithm implemented in a 3D viewing system with the suspicious point centered in the rendering view by using a clickable list.

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    Fig 3.

    The smallest aneurysm (1.1 mm).

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    Fig 4.

    This aneurysm was missed by the CAD algorithm. We believe that the error was because the aneurysm had a relatively consistent diameter up to the dome, thus not meeting the curvature criteria. This was detected by all radiologists with and without CAD.

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    Fig 5.

    A free-response receiver operating characteristic curves aneurysm fraction.

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    Table 1:

    Location and size of 11 aneurysmsa

    No.Size (mm)Location
    13.6Left middle cerebral artery (M1)
    22.5Right posterior communicating artery
    34.2Right internal carotid artery terminus
    42.1Right distal anterior cerebral artery (A1)
    52.1Right supraclinoid internal carotid
    62.2Left pericallosal artery aneurysm (A2)
    71.1Left middle cerebral artery (M1)
    86.0Right proximal cavernous internal carotid artery
    94.0Left superior cerebellar artery
    104.0Left internal carotid artery proximal to ophthalmic
    112.5Left middle cerebral artery (M1)
    • ↵a The sizes shown are the greatest dimension based on the DSA images.

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    Table 2:

    Estimated figure of merit by reader and methoda

    Estimated FOM
    CAD−CAD+Difference95% CIP Value
    Reader 10.6670.7260.060(−0.184–0.304).62
    Reader 20.6600.8420.182(0.021–0.344).028
    Reader 30.7890.8920.103(−0.071–0.276).24
    Reader 4b0.5940.7460.152(−0.042–0.347).12
    Reader 50.5140.7170.203(−0.158–0.564).26
    Reader 60.7070.630-0.077(−0.371–0.217).60
    Overall0.6550.7590.104(0.025–0.183).011
    • ↵a For all except reader 6, there was a definite increase in the FOM when CAD results were available, though the difference was statistically significant for only 1 reader (reader 2).

    • ↵b General radiologist; all other readers are neuroradiologists.

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    Table 3:

    Individual reader performance results

    Sensitivity (95% CI)Specificity (95% CI)Accuracy (95% CI)
    Reader 1
        CAD−55.6% (5/9) (26.7%–81.1%)76.9% (30/39) (61.7%–87.4%)72.9% (35/48) (59.0%–83.4%)
        CAD+77.8% (7/9) (45.3%–93.7%)66.7% (26/39) (51.0%–79.4%)68.8% (33/48) (54.7%–80.1%)
    Reader 2
        CAD−66.7% (6/9) (35.4%–87.9%)74.4% (29/39) (58.9%–85.4%)72.9% (35/48) (59.0%–83.4%)
        CAD+88.9% (8/9) (56.5%–98.0%)79.5% (31/39) (64.5%–89.2%)81.3% (39/48) (68.1%–89.8%)
    Reader 3
        CAD−77.8% (7/9) (45.3%–93.7%)84.6% (33/39) (70.3%–92.8%)83.3% (40/48) (70.4%–91.3%)
        CAD+100% (9/9) (70.1%–100.0%)79.5% (31/39) (64.5%–89.2%)83.3% (40/48) (70.4%–91.3%)
    Reader 4a
        CAD−66.7% (6/9) (35.4%–87.9%)82.1% (32/39) (67.3%–91.0%)79.2% (38/48) (65.7%–88.3%)
        CAD+77.8% (7/9) (45.3%–93.7%)76.9% (30/39) (61.7%–87.4%)77.1% (37/48) (63.5%–86.7%)
    Reader 5
        CAD−88.9% (8/9) (56.5%–98.0%)79.5% (31/39) (64.5%–89.2%)81.3% (39/48) (68.1%–89.8%)
        CAD+77.8% (7/9) (45.3%–93.7%)74.4% (29/39) (58.9%–85.4%)75% (36/48) (61.2%–85.1%)
    Reader 6
        CAD−66.7% (6/9) (35.4%–87.9%)79.5% (31/39) (64.5%–89.2%)77.1% (37/48) (63.5%–86.7%)
        CAD+77.8% (7/9) (45.3%–93.7%)76.9% (30/39) (61.7%–87.4%)77.1% (37/48) (63.5%–86.7%)
    • ↵a General radiologist, all other readers are neuroradiologists.

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American Journal of Neuroradiology: 35 (10)
American Journal of Neuroradiology
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I.L. Štep̌án-Buksakowska, J.M. Accurso, F.E. Diehn, J. Huston, T.J. Kaufmann, P.H. Luetmer, C.P. Wood, X. Yang, D.J. Blezek, R. Carter, C. Hagen, D. Hořínek, A. Hejčl, M. Roček, B.J. Erickson
Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting
American Journal of Neuroradiology Oct 2014, 35 (10) 1897-1902; DOI: 10.3174/ajnr.A3996

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Computer-Aided Diagnosis Improves Detection of Small Intracranial Aneurysms on MRA in a Clinical Setting
I.L. Štep̌án-Buksakowska, J.M. Accurso, F.E. Diehn, J. Huston, T.J. Kaufmann, P.H. Luetmer, C.P. Wood, X. Yang, D.J. Blezek, R. Carter, C. Hagen, D. Hořínek, A. Hejčl, M. Roček, B.J. Erickson
American Journal of Neuroradiology Oct 2014, 35 (10) 1897-1902; DOI: 10.3174/ajnr.A3996
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