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American Journal of Neuroradiology
American Journal of Neuroradiology

American Journal of Neuroradiology

ASHNR American Society of Functional Neuroradiology ASHNR American Society of Pediatric Neuroradiology ASSR
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Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.


AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.

 

MY CONTENT

  • FELLOWS' JOURNAL CLUBAdult Brain
    You have access
    MRI Quantitative T2* Mapping to Predict Dominant Composition of In Vitro Thrombus
    R. Bourcier, R. Pautre, M. Mirza, C. Castets, J. Darcourt, J. Labreuche, L. Detraz, H. Desal, J.-M. Serfaty and C. Toquet
    American Journal of Neuroradiology January 2019, 40 (1) 59-64; DOI: https://doi.org/10.3174/ajnr.A5938

    Thirty-five thrombus analogs of different compositions were scanned with an MR imaging quantitative T2* mapping sequence. Two radiologists, blinded to thrombus composition, measured the thrombus-T2* relaxation time twice, at an interval of 2 weeks. Quantitative histologic evaluations of red blood cell content were performed. Inter- and intraobserver reproducibility of the thrombus-T2* relaxation time was assessed by calculating intraclass correlation coefficients. MR imaging quantitative T2* mapping can reliably identify the thrombus red blood cell content in vitro. This fast, easy-to-use sequence could be implemented in routine practice.

  • FELLOWS' JOURNAL CLUBAdult Brain
    You have access
    Two-Layered Susceptibility Vessel Sign and High Overestimation Ratio on MRI Are Predictive of Cardioembolic Stroke
    R. Bourcier, I. Derraz, S. Bracard, C. Oppenheim and O. Naggara on behalf of the THRACE Investigators
    American Journal of Neuroradiology January 2019, 40 (1) 65-67; DOI: https://doi.org/10.3174/ajnr.A5865

    Two characteristics of the susceptibility vessel sign, overestimation ratio (overR), a quantitative evaluation of the susceptibility vessel sign, and the 2-layered susceptibility vessel sign (TL-SVS), were reported to predict cardioembolic stroke. These 2 biomarkers, on 1.5T or 3T systems (159 and 101 patients, respectively), demonstrated high specificity (0.77 at 1.5T and 1 at 3T) and their simultaneous presence is highly associated with cardioembolism.

  • Perspectives
    You have access
    Perspectives
    Tuncay Peker
    American Journal of Neuroradiology January 2019, 40 (1) 1; DOI: https://doi.org/10.3174/ajnr.P0049
  • Editorial
    You have access
    Women Rising to the Top: The Tipping Point for the ASNR
    C.C. Meltzer, P.C. Sanelli, M.B. Hepp and J.A. Bello
    American Journal of Neuroradiology January 2019, 40 (1) 2-4; DOI: https://doi.org/10.3174/ajnr.A5893
  • Head & Neck
    Open Access
    Imaging of Surgical Free Flaps in Head and Neck Reconstruction
    J.L. McCarty, A.S. Corey, M.W. El-Deiry, H.M. Baddour, B.M. Cavazuti and P.A. Hudgins
    American Journal of Neuroradiology January 2019, 40 (1) 5-13; DOI: https://doi.org/10.3174/ajnr.A5776
  • Practice Perspectives
    You have access
    The ASNR-ACR-RSNA Common Data Elements Project: What Will It Do for the House of Neuroradiology?
    A.E. Flanders and J.E. Jordan
    American Journal of Neuroradiology January 2019, 40 (1) 14-18; DOI: https://doi.org/10.3174/ajnr.A5780
  • Practice Perspectives
    You have access
    Bias in Neuroradiology Peer Review: Impact of a “Ding” on “Dinging” Others
    P. Charkhchi, B. Wang, B. Caffo and D.M. Yousem
    American Journal of Neuroradiology January 2019, 40 (1) 19-24; DOI: https://doi.org/10.3174/ajnr.A5908
  • EDITOR'S CHOICEAdult Brain
    You have access
    Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA
    T. Sichtermann, A. Faron, R. Sijben, N. Teichert, J. Freiherr and M. Wiesmann
    American Journal of Neuroradiology January 2019, 40 (1) 25-32; DOI: https://doi.org/10.3174/ajnr.A5911

    In a retrospective study, the authors established a system for the detection of intracranial aneurysms from 3D TOF-MRA data. The system is based on an open-source neural network, originally developed for segmentation of anatomic structures in medical images. Eighty-five datasets of patients with a total of 115 intracranial aneurysms were used to train the system and evaluate its performance. Manual annotation of aneurysms based on radiologic reports and critical revision of image data served as the reference standard. The highest overall sensitivity of this system for the detection of intracranial aneurysms was 90% with a sensitivity of 96% for aneurysms with a diameter of 3–7 mm and 100% for aneurysms of >7 mm. The best location-dependent performance was in the posterior circulation.

  • Adult Brain
    Open Access
    Automated ASPECTS on Noncontrast CT Scans in Patients with Acute Ischemic Stroke Using Machine Learning
    H. Kuang, M. Najm, D. Chakraborty, N. Maraj, S.I. Sohn, M. Goyal, M.D. Hill, A.M. Demchuk, B.K. Menon and W. Qiu
    American Journal of Neuroradiology January 2019, 40 (1) 33-38; DOI: https://doi.org/10.3174/ajnr.A5889
  • Functional
    Open Access
    Interaction of Developmental Venous Anomalies with Resting-State Functional MRI Measures
    B. Sundermann, B. Pfleiderer, H. Minnerup, K. Berger and G. Douaud
    American Journal of Neuroradiology December 2018, 39 (12) 2326-2331; DOI: https://doi.org/10.3174/ajnr.A5847

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