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Index by author

September 01, 2018; Volume 39,Issue 9

  1. Chang, P.D.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
      P.D. Chang, E. Kuoy, J. Grinband, B.D. Weinberg, M. Thompson, R. Homo, J. Chen, H. Abcede, M. Shafie, L. Sugrue, C.G. Filippi, M.-Y. Su, W. Yu, C. Hess and D. Chow
      American Journal of Neuroradiology September 2018, 39 (9) 1609-1616; DOI: https://doi.org/10.3174/ajnr.A5742

      This study evaluates a convolutional neural network optimized for the detection and quantification of intraparenchymal, epidural/subdural, and subarachnoid hemorrhages on noncontrast CT with a 10,159-examination training cohort (512,598 images; 901/8.1% hemorrhages) and an 862-examination test cohort (23,668 images; 82/12% hemorrhages). Accuracy, area under the curve, sensitivity, specificity, positive predictive value, and negative predictive value for hemorrhage detection were 0.975, 0.983, 0.971, 0.975, 0.793, and 0.997 on training cohort cross-validation and 0.970, 0.981, 0.951, 0.973, 0.829, and 0.993 for the prospective test set.

  2. Chang, R.O.

    1. Spine
      Simultaneous Bipedicular Radiofrequency Ablation Combined with Vertebral Augmentation for Local Tumor Control of Spinal Metastases
      A. Tomasian, T.J. Hillen, R.O. Chang and J.W. Jennings
      American Journal of Neuroradiology September 2018, 39 (9) 1768-1773; DOI: https://doi.org/10.3174/ajnr.A5752

  3. Chen, J.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
      P.D. Chang, E. Kuoy, J. Grinband, B.D. Weinberg, M. Thompson, R. Homo, J. Chen, H. Abcede, M. Shafie, L. Sugrue, C.G. Filippi, M.-Y. Su, W. Yu, C. Hess and D. Chow
      American Journal of Neuroradiology September 2018, 39 (9) 1609-1616; DOI: https://doi.org/10.3174/ajnr.A5742

      This study evaluates a convolutional neural network optimized for the detection and quantification of intraparenchymal, epidural/subdural, and subarachnoid hemorrhages on noncontrast CT with a 10,159-examination training cohort (512,598 images; 901/8.1% hemorrhages) and an 862-examination test cohort (23,668 images; 82/12% hemorrhages). Accuracy, area under the curve, sensitivity, specificity, positive predictive value, and negative predictive value for hemorrhage detection were 0.975, 0.983, 0.971, 0.975, 0.793, and 0.997 on training cohort cross-validation and 0.970, 0.981, 0.951, 0.973, 0.829, and 0.993 for the prospective test set.

  4. Choi, C.G.

    1. Adult Brain
      Open Access
      MRI Findings in Tumefactive Demyelinating Lesions: A Systematic Review and Meta-Analysis
      C.H. Suh, H.S. Kim, S.C. Jung, C.G. Choi and S.J. Kim
      American Journal of Neuroradiology September 2018, 39 (9) 1643-1649; DOI: https://doi.org/10.3174/ajnr.A5775

  5. Chow, D.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Hybrid 3D/2D Convolutional Neural Network for Hemorrhage Evaluation on Head CT
      P.D. Chang, E. Kuoy, J. Grinband, B.D. Weinberg, M. Thompson, R. Homo, J. Chen, H. Abcede, M. Shafie, L. Sugrue, C.G. Filippi, M.-Y. Su, W. Yu, C. Hess and D. Chow
      American Journal of Neuroradiology September 2018, 39 (9) 1609-1616; DOI: https://doi.org/10.3174/ajnr.A5742

      This study evaluates a convolutional neural network optimized for the detection and quantification of intraparenchymal, epidural/subdural, and subarachnoid hemorrhages on noncontrast CT with a 10,159-examination training cohort (512,598 images; 901/8.1% hemorrhages) and an 862-examination test cohort (23,668 images; 82/12% hemorrhages). Accuracy, area under the curve, sensitivity, specificity, positive predictive value, and negative predictive value for hemorrhage detection were 0.975, 0.983, 0.971, 0.975, 0.793, and 0.997 on training cohort cross-validation and 0.970, 0.981, 0.951, 0.973, 0.829, and 0.993 for the prospective test set.

  6. Christoforidis, G.

    1. Head & Neck
      MR Thermography–Guided Head and Neck Lesion Laser Ablation
      D.T. Ginat, S. Sammet and G. Christoforidis
      American Journal of Neuroradiology September 2018, 39 (9) 1593-1596; DOI: https://doi.org/10.3174/ajnr.A5726

  7. Cinar, C.

    1. Interventional
      Intracranial Serpentine Aneurysms: Spontaneous Changes of Angiographic Filling Pattern
      S.G. Kandemirli, S. Cekirge, I. Oran, I. Saatci, O. Kizilkilic, C. Cinar, C. Islak and N. Kocer
      American Journal of Neuroradiology September 2018, 39 (9) 1662-1668; DOI: https://doi.org/10.3174/ajnr.A5746

  8. Cloft, H.

    1. Spine
      Open Access
      Review of the Imaging Features of Benign Osteoporotic and Malignant Vertebral Compression Fractures
      J.T. Mauch, C.M. Carr, H. Cloft and F.E. Diehn
      American Journal of Neuroradiology September 2018, 39 (9) 1584-1592; DOI: https://doi.org/10.3174/ajnr.A5528

  9. Cobb-pitstick, K.M.

    1. Pediatrics
      Time Course of Cerebral Perfusion Changes in Children with Migraine with Aura Mimicking Stroke
      K.M. Cobb-Pitstick, N. Munjal, R. Safier, D.D. Cummings and G. Zuccoli
      American Journal of Neuroradiology September 2018, 39 (9) 1751-1755; DOI: https://doi.org/10.3174/ajnr.A5693

  10. Codjia, P.

    1. Adult Brain
      Open Access
      Adult-Onset Leukoencephalopathy with Axonal Spheroids and Pigmented Glia: An MRI Study of 16 French Cases
      P. Codjia, X. Ayrignac, F. Mochel, K. Mouzat, C. Carra-Dalliere, G. Castelnovo, E. Ellie, F. Etcharry-Bouyx, C. Verny, S. Belliard, D. Hannequin, C. Marelli, Y. Nadjar, I. Le Ber, I. Dorboz, S. Samaan, O. Boespflug-Tanguy, S. Lumbroso and P. Labauge
      American Journal of Neuroradiology September 2018, 39 (9) 1657-1661; DOI: https://doi.org/10.3174/ajnr.A5744
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