2016 Lucien Levy Best Research Article Award Winner and Nominees Named

The Editors of AJNR are pleased to announce the annual Lucien Levy Best Research Article Award has been presented to:

Brain Network Architecture and Global Intelligence in Children with Focal Epilepsy by M.J. Paldino, F. Golriz, M.L. Chapieski, W. Zhang, and Z.D. Chu.

This award is named for the late AJNR Senior Editor who championed its establishment and recognizes the best original research paper accepted in 2016. The winning paper, submitted by authors from the Texas Children’s Hospital in Houston, was published electronically on October 13, 2016 and appeared in the February print issue. It was selected by a vote of the Journal’s Editor-in-Chief and Senior Editors.

Other nominated papers were:

Fate of Coiled Aneurysms with Minor Recanalization at 6 Months: Rate of Progression to Further Recanalization and Related Risk Factors by J.P. Jeon, Y.D. Cho, J.K. Rhim, D.H. Yoo, W.-S. Cho, H.-S. Kang, J.E. Kim, and M.H. Han

Diffusion-Weighted Imaging of Nasopharyngeal Carcinoma: Can Pretreatment DWI Predict Local Failure Based on Long-Term Outcome? by B.K.H. Law, A.D. King, K.S. Bhatia, A.T. Ahuja, M.K.M. Kam, B.B. Ma, Q.Y. Ai, F.K.F. Mo, J. Yuan, and D.K.W. Yeung

Porcine In Vivo Validation of a Virtual Contrast Model: The Influence of Contrast Agent Properties and Vessel Flow Rates by T.W. Peach, Y. Ventikos, J.V. Byrne, and Z. You

MR Imaging of Individual Perfusion Reorganization Using Superselective Pseudocontinuous Arterial Spin-Labeling in Patients with Complex Extracranial Steno-Occlusive Disease by V. Richter, M. Helle, M.J.P. van Osch, T. Lindner, A.S. Gersing, P. Tsantilas, H.-H. Eckstein, C. Preibisch, and C. Zimmer

A Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context by L. Storelli, E. Pagani, M.A. Rocca, M.A. Horsfield, A. Gallo, A. Bisecco, M. Battaglini, N. De Stefano, H. Vrenken, D.L. Thomas, L. Mancini, S. Ropele, C. Enzinger, P. Preziosa, and M. Filippi

Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study by P. Tiwari, P. Prasanna, L. Wolansky, M. Pinho, M. Cohen, A.P. Nayate, A. Gupta, G. Singh, K.J. Hatanpaa, A. Sloan, L. Rogers, and A. Madabhushi

2016 Lucien Levy Best Research Article Award Winner and Nominees Named

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