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Research ArticleAdult Brain

Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study

N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch and D. Paech
American Journal of Neuroradiology November 2022, DOI: https://doi.org/10.3174/ajnr.A7695
N.C. Lehnen
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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R. Haase
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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F.C. Schmeel
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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H. Vatter
bDepartment of Neurosurgery (H.V.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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F. Dorn
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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A. Radbruch
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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D. Paech
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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Article Figures & Data

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  • FIG 1.
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    FIG 1.

    Right MCA aneurysm correctly detected by the software, cross-sectional (A) and MIP images (B). C–E, Axial, sagittal, and coronal view as reconstructed by the software, with the aneurysm highlighted in orange and with a surrounding white box.

  • FIG 2.
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    FIG 2.

    Right MCA bifurcation mistaken for an MCA aneurysm by the software. No aneurysm is shown by TOF-MRA, either by the cross-sectional image (A) or by MIP (B). C–E, Right MCA bifurcation highlighted in orange with a surrounding white box.

  • FIG 3.
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    FIG 3.

    Large, thrombosed right MCA aneurysm (arrows) missed by the software and a small left MCA aneurysm (arrowheads) that was correctly detected by the software but missed in the initial read, probably due to satisfaction of search. A, Axial cross-sectional image of TOF-MRA. B, MIP image with the right MCA aneurysm barely visible and the left MCA aneurysm well visible. C–E, Axial, sagittal, and coronal reconstructions with the left MCA aneurysm being correctly highlighted in orange with a surrounding white box and the right MCA aneurysm not highlighted.

Tables

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  • Localizations of the aneurysms and the sensitivity of the softwarea

    LocalizationNo. (%)Correctly Detected by CNN%
    Anterior circulation39 (72.2%)2769.23%
     C1–C4 (infraophthalmic)12 (22.2%)650.0%
     Supraophthalmic27 (50%)2177.8%
     C5/67 (13.0%)571.4%
     ICA terminus1 (1.9%)1100.0%
     AComA7 (13.0%)685.7%
     MCA11 (20.4%)872.7%
     A11 (1.9%)1100.0%
    Posterior circulation15 (27.8%)1173.3%
     Basilar tip1 (1.9%)1100.0%
     PComA8 (14.8%)787.5%
     SCA2 (3.7%)150.0%
     AICA0 (0.0%)0NA
     PICA1 (1.9%)1100.0%
     V41 (1.9%)1100.0%
     Basilar artery2 (3.7%)00.0%
    • Note:—AComA indicates anterior communicating artery; PComA, posterior communicating artery; SCA, superior cerebellar artery; NA, not applicable; CNN, convolutional neural network.

    • ↵a The specificity of the algorithm was 87.2%. The term “basilar artery” indicates aneurysms of the basilar artery that do not arise from the basilar tip, the SCA, or the AICA. C5/6 includes ICA aneurysms that are located in the ICA segments C5 or C6. Aneurysms located at the ICA terminus or the origin of the PComA are listed separately.

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N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch, D. Paech
Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study
American Journal of Neuroradiology Nov 2022, DOI: 10.3174/ajnr.A7695

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Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study
N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch, D. Paech
American Journal of Neuroradiology Nov 2022, DOI: 10.3174/ajnr.A7695
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