American Journal of Neuroradiology: 39 (9)

Index by author

September 01, 2018; Volume 39,Issue 9

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.
Chang, R.O.
1. Spine
  
  You have access
  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
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.
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
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.
Christoforidis, G.
1. Head & Neck
  
  You have access
  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
Cinar, C.
1. Interventional
  
  You have access
  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
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
Cobb-pitstick, K.M.
1. Pediatrics
  
  You have access
  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
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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American Journal of Neuroradiology

Index by author

Chang, P.D.

Chang, R.O.

Chen, J.

Choi, C.G.

Chow, D.

Christoforidis, G.

Cinar, C.

Cloft, H.

Cobb-pitstick, K.M.

Codjia, P.

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