Index by author
Agarwal, N.
- SPINEYou have accessEnhancing the Radiologist-Patient Relationship through Improved Communication: A Quantitative Readability Analysis in Spine RadiologyD.R. Hansberry, A.L. Donovan, A.V. Prabhu, N. Agarwal, M. Cox and A.E. FlandersAmerican Journal of Neuroradiology June 2017, 38 (6) 1252-1256; DOI: https://doi.org/10.3174/ajnr.A5151
Aiken, A.H.
- HEAD & NECKYou have accessInitial Performance of NI-RADS to Predict Residual or Recurrent Head and Neck Squamous Cell CarcinomaD.A. Krieger, P.A. Hudgins, G.K. Nayak, K.L. Baugnon, A.S. Corey, M.R. Patel, J.J. Beitler, N.F. Saba, Y. Liu and A.H. AikenAmerican Journal of Neuroradiology June 2017, 38 (6) 1193-1199; DOI: https://doi.org/10.3174/ajnr.A5157
Alcaide-leon, P.
- FELLOWS' JOURNAL CLUBADULT BRAINYou have accessDifferentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine LearningP. Alcaide-Leon, P. Dufort, A.F. Geraldo, L. Alshafai, P.J. Maralani, J. Spears and A. BharathaAmerican Journal of Neuroradiology June 2017, 38 (6) 1145-1150; DOI: https://doi.org/10.3174/ajnr.A5173
The authors evaluated the diagnostic performance of a machine-learning algorithm by using texture analysis of contrast-enhanced T1-weighted images for differentiation of primary central nervous system lymphoma (n=35) and enhancing glioma (n=71). The mean areas under the receiver operating characteristic curve were 0.877 for the support vector machine classifier; 0.878 for reader 1; 0.899 for reader 2; and 0.845 for reader 3. They conclude that support vector machine classification based on textural features of contrast-enhanced T1WI is noninferior to expert human evaluation in the differentiation of primary central nervous system lymphoma and enhancing glioma.
Alshafai, L.
- FELLOWS' JOURNAL CLUBADULT BRAINYou have accessDifferentiation of Enhancing Glioma and Primary Central Nervous System Lymphoma by Texture-Based Machine LearningP. Alcaide-Leon, P. Dufort, A.F. Geraldo, L. Alshafai, P.J. Maralani, J. Spears and A. BharathaAmerican Journal of Neuroradiology June 2017, 38 (6) 1145-1150; DOI: https://doi.org/10.3174/ajnr.A5173
The authors evaluated the diagnostic performance of a machine-learning algorithm by using texture analysis of contrast-enhanced T1-weighted images for differentiation of primary central nervous system lymphoma (n=35) and enhancing glioma (n=71). The mean areas under the receiver operating characteristic curve were 0.877 for the support vector machine classifier; 0.878 for reader 1; 0.899 for reader 2; and 0.845 for reader 3. They conclude that support vector machine classification based on textural features of contrast-enhanced T1WI is noninferior to expert human evaluation in the differentiation of primary central nervous system lymphoma and enhancing glioma.
Arun, K.M.
- EDITOR'S CHOICEFUNCTIONALOpen AccessResting-State Seed-Based Analysis: An Alternative to Task-Based Language fMRI and Its Laterality IndexK.A. Smitha, K.M. Arun, P.G. Rajesh, B. Thomas and C. KesavadasAmerican Journal of Neuroradiology June 2017, 38 (6) 1187-1192; DOI: https://doi.org/10.3174/ajnr.A5169
Eighteen healthy right-handed volunteers were prospectively evaluated with resting-state fMRI and task-based fMRI to assess language networks. The laterality indices of Broca and Wernicke areas were calculated by using task-based fMRI via a voxel-value approach. The authors performed seed-based resting-state fMRI connectivity analysis together with parameters such as amplitude of low-frequency fluctuation and fractional amplitude of low-frequency fluctuation (fALFF). fALFF can be used as an alternative to task-based fMRI for assessing language laterality. There was a strong positive correlation between the fALFF of the Broca area of resting-state fMRI with the laterality index of task-based fMRI.
Bae, Y.J.
- HEAD & NECKOpen AccessThe Role of MRI in Diagnosing Neurovascular Compression of the Cochlear Nerve Resulting in Typewriter TinnitusY.J. Bae, Y.J. Jeon, B.S. Choi, J.-W. Koo and J.-J. SongAmerican Journal of Neuroradiology June 2017, 38 (6) 1212-1217; DOI: https://doi.org/10.3174/ajnr.A5156
Barreau, X.
- INTERVENTIONALYou have accessSafety and Efficacy of Aneurysm Treatment with the WEB: Results of the WEBCAST 2 StudyL. Pierot, I. Gubucz, J.H. Buhk, M. Holtmannspötter, D. Herbreteau, L. Stockx, L. Spelle, J. Berkefeld, A.-C. Januel, A. Molyneux, J.V. Byrne, J. Fiehler, I. Szikora and X. BarreauAmerican Journal of Neuroradiology June 2017, 38 (6) 1151-1155; DOI: https://doi.org/10.3174/ajnr.A5178
Bartolini, B.
- You have accessCaution; Confusion Ahead…R. Capocci, E. Shotar, N.-A. Sourour, I. Haffaf, B. Bartolini and F. ClarençonAmerican Journal of Neuroradiology June 2017, 38 (6) E40-E43; DOI: https://doi.org/10.3174/ajnr.A5179
Baugnon, K.L.
- HEAD & NECKYou have accessInitial Performance of NI-RADS to Predict Residual or Recurrent Head and Neck Squamous Cell CarcinomaD.A. Krieger, P.A. Hudgins, G.K. Nayak, K.L. Baugnon, A.S. Corey, M.R. Patel, J.J. Beitler, N.F. Saba, Y. Liu and A.H. AikenAmerican Journal of Neuroradiology June 2017, 38 (6) 1193-1199; DOI: https://doi.org/10.3174/ajnr.A5157
Beitler, J.J.
- HEAD & NECKYou have accessInitial Performance of NI-RADS to Predict Residual or Recurrent Head and Neck Squamous Cell CarcinomaD.A. Krieger, P.A. Hudgins, G.K. Nayak, K.L. Baugnon, A.S. Corey, M.R. Patel, J.J. Beitler, N.F. Saba, Y. Liu and A.H. AikenAmerican Journal of Neuroradiology June 2017, 38 (6) 1193-1199; DOI: https://doi.org/10.3174/ajnr.A5157