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Index by author

July 01, 2018; Volume 39,Issue 7
  • A
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  • D
  • E
  • F
  • G
  • H
  • I
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  • K
  • L
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  • S
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  • U
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  • Z

  1. Backes, W.H.

    1. Functional
      You have access
      Abnormal Blood Oxygen Level–Dependent Fluctuations in Focal Cortical Dysplasia and the Perilesional Zone: Initial Findings
      L. Gupta, P.A.M. Hofman, R.M.H. Besseling, J.F.A. Jansen and W.H. Backes
      American Journal of Neuroradiology July 2018, 39 (7) 1310-1315; DOI: https://doi.org/10.3174/ajnr.A5684
  2. Baldi, P.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
      P. Chang, J. Grinband, B.D. Weinberg, M. Bardis, M. Khy, G. Cadena, M.-Y. Su, S. Cha, C.G. Filippi, D. Bota, P. Baldi, L.M. Poisson, R. Jain and D. Chow
      American Journal of Neuroradiology July 2018, 39 (7) 1201-1207; DOI: https://doi.org/10.3174/ajnr.A5667

      MR imaging data and molecular information were retrospectively obtained from The Cancer Imaging Archives for 259 patients with either low- or high-grade gliomas. A convolutional neural network was trained to classify IDH1 mutation status, 1p/19q codeletion, and MGMT promotor methylation status. Classification had high accuracy: IDH1 mutation status, 94%; 1p/19q codeletion, 92%; and MGMT promotor methylation status, 83%. The authors conclude that this shows the feasibility of a deep-learning CNN approach for the accurate classification of individual genetic mutations of both low- and high-grade gliomas and that the relevant MR imaging features acquired from an added dimensionality-reduction technique are concordant with existing literature, showing that neural networks are capable of learning key imaging components without prior feature selection or human directed training.

  3. Balk, M.H.

    1. Pediatric Neuroimaging
      You have access
      Global and Widespread Local White Matter Abnormalities in Juvenile Neuronal Ceroid Lipofuscinosis
      U. Roine, T.J. Roine, A. Hakkarainen, A. Tokola, M.H. Balk, M. Mannerkoski, L.E. Åberg, T. Lönnqvist and T. Autti
      American Journal of Neuroradiology July 2018, 39 (7) 1349-1354; DOI: https://doi.org/10.3174/ajnr.A5687
  4. Bardis, M.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Deep-Learning Convolutional Neural Networks Accurately Classify Genetic Mutations in Gliomas
      P. Chang, J. Grinband, B.D. Weinberg, M. Bardis, M. Khy, G. Cadena, M.-Y. Su, S. Cha, C.G. Filippi, D. Bota, P. Baldi, L.M. Poisson, R. Jain and D. Chow
      American Journal of Neuroradiology July 2018, 39 (7) 1201-1207; DOI: https://doi.org/10.3174/ajnr.A5667

      MR imaging data and molecular information were retrospectively obtained from The Cancer Imaging Archives for 259 patients with either low- or high-grade gliomas. A convolutional neural network was trained to classify IDH1 mutation status, 1p/19q codeletion, and MGMT promotor methylation status. Classification had high accuracy: IDH1 mutation status, 94%; 1p/19q codeletion, 92%; and MGMT promotor methylation status, 83%. The authors conclude that this shows the feasibility of a deep-learning CNN approach for the accurate classification of individual genetic mutations of both low- and high-grade gliomas and that the relevant MR imaging features acquired from an added dimensionality-reduction technique are concordant with existing literature, showing that neural networks are capable of learning key imaging components without prior feature selection or human directed training.

  5. Barr, J.S.

    1. Spine Imaging and Spine Image-Guided Interventions
      You have access
      Efficacy and Safety of Percutaneous Microwave Ablation and Cementoplasty in the Treatment of Painful Spinal Metastases and Myeloma
      M.A. Khan, G. Deib, B. Deldar, A.M. Patel and J.S. Barr
      American Journal of Neuroradiology July 2018, 39 (7) 1376-1383; DOI: https://doi.org/10.3174/ajnr.A5680
  6. Bathla, G.

    1. Adult Brain
      Open Access
      Cerebrovascular Manifestations of Neurosarcoidosis: An Underrecognized Aspect of the Imaging Spectrum
      G. Bathla, P. Watal, S. Gupta, P. Nagpal, S. Mohan and T. Moritani
      American Journal of Neuroradiology July 2018, 39 (7) 1194-1200; DOI: https://doi.org/10.3174/ajnr.A5492
  7. Batouty, N.M.

    1. You have access
      Common Origin of Brachiocephalic and Left Common Carotid Arteries: Proposal of New Terminology
      A.M. Tawfik, D.M. Sobh and N.M. Batouty
      American Journal of Neuroradiology July 2018, 39 (7) E86-E87; DOI: https://doi.org/10.3174/ajnr.A5659
  8. Belay, A.

    1. Head and Neck Imaging
      Open Access
      Role of the Apparent Diffusion Coefficient as a Predictor of Tumor Progression in Patients with Chordoma
      T. Sasaki, T. Moritani, A. Belay, A.A. Capizzano, S.P. Sato, Y. Sato, P. Kirby, S. Ishitoya, A. Oya, M. Toda and K. Takahashi
      American Journal of Neuroradiology July 2018, 39 (7) 1316-1321; DOI: https://doi.org/10.3174/ajnr.A5664
  9. Bellmann-strobl, J.

    1. Spine Imaging and Spine Image-Guided Interventions
      Open Access
      MRI-Based Methods for Spinal Cord Atrophy Evaluation: A Comparison of Cervical Cord Cross-Sectional Area, Cervical Cord Volume, and Full Spinal Cord Volume in Patients with Aquaporin-4 Antibody Seropositive Neuromyelitis Optica Spectrum Disorders
      C. Chien, A.U. Brandt, F. Schmidt, J. Bellmann-Strobl, K. Ruprecht, F. Paul and M. Scheel
      American Journal of Neuroradiology July 2018, 39 (7) 1362-1368; DOI: https://doi.org/10.3174/ajnr.A5665
  10. Bendszus, M.

    1. Head and Neck Imaging
      You have access
      MSVAT-SPACE-STIR and SEMAC-STIR for Reduction of Metallic Artifacts in 3T Head and Neck MRI
      T. Hilgenfeld, M. Prager, F.S. Schwindling, M. Nittka, P. Rammelsberg, M. Bendszus, S. Heiland and A. Juerchott
      American Journal of Neuroradiology July 2018, 39 (7) 1322-1329; DOI: https://doi.org/10.3174/ajnr.A5678
    2. FELLOWS' JOURNAL CLUBNeurointervention
      You have access
      Endovascular Treatment of Dural Arteriovenous Fistulas Using Transarterial Liquid Embolization in Combination with Transvenous Balloon-Assisted Protection of the Venous Sinus
      D.F. Vollherbst, C. Ulfert, U. Neuberger, C. Herweh, M. Laible, S. Nagel, M. Bendszus and M.A. Möhlenbruch
      American Journal of Neuroradiology July 2018, 39 (7) 1296-1302; DOI: https://doi.org/10.3174/ajnr.A5651

      The authors report their single-center experience in 22 patients with dural arteriovenous fistulas who were treated with transarterial liquid embolization in combination with transvenous balloon-assisted protection of the affected venous sinus. All patients were symptomatic, of whom 81.8% presented with tinnitus; 9.1%, with ocular symptoms; and 9.1%, with headache. Most fistulas were located at the transverse and/or sigmoid sinus. The most frequent fistula type was Cognard IIa+b (40.9%), followed by Cognard I (31.8%) and Cognard IIa (27.3%)/Borden I (59.1%), and Borden II (40.9%). The affected sinus could be preserved in all except for 1 patient in whom it was sacrificed in a second treatment procedure by coil embolization. The overall complete occlusion rate was 86.4%. The overall complication rate was 20%, with transient and permanent morbidity and mortality of 8%, 0%, and 0%, respectively. They conclude that transarterial liquid embolization of dural arteriovenous fistulas in combination with transvenous balloon-assisted protection of the venous sinus is feasible and safe.

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American Journal of Neuroradiology: 39 (7)
American Journal of Neuroradiology
Vol. 39, Issue 7
1 Jul 2018
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