Index by author
Maya, Marcel M.
- Spine Imaging and Spine Image-Guided InterventionsYou have accessDe Novo Formation of Idiopathic Spinal Cord HerniationWouter I. Schievink, Marcel M. Maya and Miriam NuñoAmerican Journal of Neuroradiology September 2024, 45 (9) 1385-1387; DOI: https://doi.org/10.3174/ajnr.A8338
Mazurek, Mercy H.
- Emergency NeuroradiologyYou have accessImplementation of a Survey Spine MR Imaging Protocol for Cord Compression in the Emergency Department: Experience at a Level 1 Trauma CenterMercy H. Mazurek, Annie R. Abruzzo, Alexander H. King, Erica Koranteng, Grant Rigney, Winston Lie, Shahaan Razak, Rajiv Gupta, William A. Mehan, Michael H. Lev, Joshua A. Hirsch, Karen Buch and Marc D. SucciAmerican Journal of Neuroradiology September 2024, 45 (9) 1378-1384; DOI: https://doi.org/10.3174/ajnr.A8326
Mehan, William A.
- Emergency NeuroradiologyYou have accessImplementation of a Survey Spine MR Imaging Protocol for Cord Compression in the Emergency Department: Experience at a Level 1 Trauma CenterMercy H. Mazurek, Annie R. Abruzzo, Alexander H. King, Erica Koranteng, Grant Rigney, Winston Lie, Shahaan Razak, Rajiv Gupta, William A. Mehan, Michael H. Lev, Joshua A. Hirsch, Karen Buch and Marc D. SucciAmerican Journal of Neuroradiology September 2024, 45 (9) 1378-1384; DOI: https://doi.org/10.3174/ajnr.A8326
Mehta, Parv M.
- Head and Neck ImagingYou have accessImaging Findings Post-Stereotactic Radiosurgery for Vestibular Schwannoma: A Primer for the RadiologistGirish Bathla, Parv M. Mehta, John C. Benson, Amit K. Agrwal, Neetu Soni, Michael J. Link, Matthew L. Carlson and John I. LaneAmerican Journal of Neuroradiology September 2024, 45 (9) 1194-1201; DOI: https://doi.org/10.3174/ajnr.A8175
Meier, Tristan
- NeurointerventionYou have accessEndovascular Thrombectomy for Carotid Pseudo-Occlusion in the Setting of Acute Ischemic Stroke: A Comparative Systematic Review and Meta-analysisMichelle A. Toruno, Tristan Meier, Mohamed Elfil, Karthi Varshika, Jonathan Cortese, Sherief Ghozy, Ramanathan Kadirvel and David F. KallmesAmerican Journal of Neuroradiology September 2024, 45 (9) 1241-1245; DOI: https://doi.org/10.3174/ajnr.A8268
Meinel, Thomas
- NeurointerventionYou have accessIncidence, Risk Factors, and Clinical Implications of Subarachnoid Hyperdensities on Flat-Panel Detector CT following Mechanical Thrombectomy in Patients with Anterior Circulation Acute Ischemic StrokeBettina L. Serrallach, Mattia Branca, Adnan Mujanovic, Anna Boronylo, Julie M. Hanke, Arsany Hakim, Sara Pilgram-Pastor, Eike I. Piechowiak, Jan Gralla, Thomas Meinel, Johannes Kaesmacher and Tomas DobrockyAmerican Journal of Neuroradiology September 2024, 45 (9) 1230-1240; DOI: https://doi.org/10.3174/ajnr.A8277
Merrill, Corinne M.
- EDITOR'S CHOICEArtificial IntelligenceYou have accessMR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR ImagesAndrew D. Linkugel, Tongyao Wang, Parna Eshraghi Boroojeni, Cihat Eldeniz, Yasheng Chen, Gary B. Skolnick, Paul K. Commean, Corinne M. Merrill, Jennifer M. Strahle, Manu S. Goyal, Hongyu An and Kamlesh B. PatelAmerican Journal of Neuroradiology September 2024, 45 (9) 1284-1290; DOI: https://doi.org/10.3174/ajnr.A8335
In this study, the authors developed automated motion correction and used deep learning to generate pseudo-CT cranial images from MR images. Compared with CT, pseudo-CT had 100% specificity and 100% sensitivity for suture closure and 100% specificity and 90% sensitivity for skull fractures.
Messina, Steven A.
- FELLOWS' JOURNAL CLUBUltra-High-Field MRI/Imaging of Epilepsy/Demyelinating Diseases/Inflammation/InfectionYou have accessRadiologic Classification of Hippocampal Sclerosis in EpilepsyErik H. Middlebrooks, Vivek Gupta, Amit K. Agarwal, Brin E. Freund, Steven A. Messina, William O. Tatum, David S. Sabsevitz, Anteneh M. Feyissa, Seyed M. Mirsattari, Fernando N. Galan, Alfredo Quinones-Hinojosa, Sanjeet S. Grewal and John V. MurrayAmerican Journal of Neuroradiology September 2024, 45 (9) 1185-1193; DOI: https://doi.org/10.3174/ajnr.A8214
This review explores how the International League Against Epilepsy (ILAE) subtypes of hippocampal sclerosis correlate with MRI findings. Hippocampal anatomy is reviewed in detail. The pathophysiology of hippocampal sclerosis is discussed. A radiologic classification scheme is proposed that aligns with the ILAE pathology classification, aiming to improve clinical communication and decision-making.
Michel, Patrik
- Artificial IntelligenceYou have accessAssessing the Performance of Artificial Intelligence Models: Insights from the American Society of Functional Neuroradiology Artificial Intelligence CompetitionBin Jiang, Burak B. Ozkara, Guangming Zhu, Derek Boothroyd, Jason W. Allen, Daniel P. Barboriak, Peter Chang, Cynthia Chan, Ruchir Chaudhari, Hui Chen, Anjeza Chukus, Victoria Ding, David Douglas, Christopher G. Filippi, Adam E. Flanders, Ryan Godwin, Syed Hashmi, Christopher Hess, Kevin Hsu, Yvonne W. Lui, Joseph A. Maldjian, Patrik Michel, Sahil S. Nalawade, Vishal Patel, Prashant Raghavan, Haris I. Sair, Jody Tanabe, Kirk Welker, Christopher T. Whitlow, Greg Zaharchuk and Max WintermarkAmerican Journal of Neuroradiology September 2024, 45 (9) 1276-1283; DOI: https://doi.org/10.3174/ajnr.A8317
Middlebrooks, Erik H.
- FELLOWS' JOURNAL CLUBUltra-High-Field MRI/Imaging of Epilepsy/Demyelinating Diseases/Inflammation/InfectionYou have accessRadiologic Classification of Hippocampal Sclerosis in EpilepsyErik H. Middlebrooks, Vivek Gupta, Amit K. Agarwal, Brin E. Freund, Steven A. Messina, William O. Tatum, David S. Sabsevitz, Anteneh M. Feyissa, Seyed M. Mirsattari, Fernando N. Galan, Alfredo Quinones-Hinojosa, Sanjeet S. Grewal and John V. MurrayAmerican Journal of Neuroradiology September 2024, 45 (9) 1185-1193; DOI: https://doi.org/10.3174/ajnr.A8214
This review explores how the International League Against Epilepsy (ILAE) subtypes of hippocampal sclerosis correlate with MRI findings. Hippocampal anatomy is reviewed in detail. The pathophysiology of hippocampal sclerosis is discussed. A radiologic classification scheme is proposed that aligns with the ILAE pathology classification, aiming to improve clinical communication and decision-making.