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Index by author

September 01, 2020; Volume 41,Issue 9
  • A
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  1. Wacogne, A.

    1. FELLOWS' JOURNAL CLUBInterventional
      You have access
      Predictors of Favorable Outcome after Endovascular Thrombectomy in MRI: Selected Patients with Acute Basilar Artery Occlusion
      M. Mahmoudi, C. Dargazanli, F. Cagnazzo, I. Derraz, C. Arquizan, A. Wacogne, J. Labreuche, A. Bonafe, D. Sablot, P.H. Lefevre, G. Gascou, N. Gaillard, C. Scott, V. Costalat and I. Mourand
      American Journal of Neuroradiology September 2020, 41 (9) 1670-1676; DOI: https://doi.org/10.3174/ajnr.A6741

      The authors analyzed consecutive MR imaging–selected patients with acute basilar artery occlusions endovascularly treated within the first 24 hours after symptom onset. Successful and complete reperfusion was defined as modified TICI scores 2b–3 and 3, respectively. Outcome at 90 days was analyzed. One hundred ten patients were included. In 10 patients, endovascular treatment was aborted for failed proximal/distal access. Overall, successful reperfusion was achieved in 81.8% of cases. At 90 days, favorable outcome was 31.8%, with a mortality rate of 40.9%; the prevalence of symptomatic intracranial hemorrhage within 24 hours was 2.7%. The median time from symptom onset to groin puncture was 410 minutes. In this series of MR imaging–selected patients with acute basilar artery occlusions, complete reperfusion was the strongest predictor of a good outcome. Lower pretreatment NIHSS, the presence of posterior communicating artery collateral flow, the absence of atrial fibrillation, and intravenous thrombolysis administration were associated with favorable outcome.

  2. Wang, J.

    1. Spine
      Open Access
      The Evaluation and Prediction of Laminoplasty Surgery Outcome in Patients with Degenerative Cervical Myelopathy Using Diffusion Tensor MRI
      X. Han, X. Ma, D. Li, J. Wang, W. Jiang, X. Cheng, G. Li, H. Guo and W. Tian
      American Journal of Neuroradiology September 2020, 41 (9) 1745-1753; DOI: https://doi.org/10.3174/ajnr.A6705
  3. Weaver, L.M.

    1. Head & Neck
      Open Access
      COVID-19–Associated Bifacial Weakness with Paresthesia Subtype of Guillain-Barré Syndrome
      K.L. Hutchins, J.H. Jansen, A.D. Comer, R.V. Scheer, G.S. Zahn, A.E. Capps, L.M. Weaver and N.A. Koontz
      American Journal of Neuroradiology September 2020, 41 (9) 1707-1711; DOI: https://doi.org/10.3174/ajnr.A6654
  4. Wee, N.K.

    1. LETTER
      Open Access
      CT Fluid-Blood Levels in COVID-19 Intracranial Hemorrhage
      N.K. Wee, E.B. Fan, K.C.H. Lee, Y.W. Chia and T.C.C. Lim
      American Journal of Neuroradiology September 2020, 41 (9) E76-E77; DOI: https://doi.org/10.3174/ajnr.A6672
  5. Wei, K.-C.

    1. Adult Brain
      Open Access
      MRS as an Aid to Diagnose Malignant Transformation in Low-Grade Gliomas with Increasing Contrast Enhancement
      C.H. Toh, M. Castillo, K.-C. Wei and P.-Y. Chen
      American Journal of Neuroradiology September 2020, 41 (9) 1592-1598; DOI: https://doi.org/10.3174/ajnr.A6688
  6. Weinstock-guttman, B.

    1. Adult Brain
      Open Access
      Disability Improvement Is Associated with Less Brain Atrophy Development in Multiple Sclerosis
      E. Ghione, N. Bergsland, M.G. Dwyer, J. Hagemeier, D. Jakimovski, D.P. Ramasamy, D. Hojnacki, A.A. Lizarraga, C. Kolb, S. Eckert, B. Weinstock-Guttman and R. Zivadinov
      American Journal of Neuroradiology September 2020, 41 (9) 1577-1583; DOI: https://doi.org/10.3174/ajnr.A6684
  7. Wharen, R.E.

    1. Adult Brain
      Open Access
      Neuroimaging Advances in Deep Brain Stimulation: Review of Indications, Anatomy, and Brain Connectomics
      E.H. Middlebrooks, R.A. Domingo, T. Vivas-Buitrago, L. Okromelidze, T. Tsuboi, J.K. Wong, R.S. Eisinger, L. Almeida, M.R. Burns, A. Horn, R.J. Uitti, R.E. Wharen, V.M. Holanda and S.S. Grewal
      American Journal of Neuroradiology September 2020, 41 (9) 1558-1568; DOI: https://doi.org/10.3174/ajnr.A6693
  8. Wilson, R.

    1. Adult Brain
      Open Access
      Neurovascular Complications in COVID-19 Infection: Case Series
      A.M. Franceschi, R. Arora, R. Wilson, L. Giliberto, R.B. Libman and M. Castillo
      American Journal of Neuroradiology September 2020, 41 (9) 1632-1640; DOI: https://doi.org/10.3174/ajnr.A6655
  9. Wong, J.K.

    1. Adult Brain
      Open Access
      Neuroimaging Advances in Deep Brain Stimulation: Review of Indications, Anatomy, and Brain Connectomics
      E.H. Middlebrooks, R.A. Domingo, T. Vivas-Buitrago, L. Okromelidze, T. Tsuboi, J.K. Wong, R.S. Eisinger, L. Almeida, M.R. Burns, A. Horn, R.J. Uitti, R.E. Wharen, V.M. Holanda and S.S. Grewal
      American Journal of Neuroradiology September 2020, 41 (9) 1558-1568; DOI: https://doi.org/10.3174/ajnr.A6693
  10. Wright, J.

    1. EDITOR'S CHOICEPediatrics
      You have access
      Deep Learning for Pediatric Posterior Fossa Tumor Detection and Classification: A Multi-Institutional Study
      J.L. Quon, W. Bala, L.C. Chen, J. Wright, L.H. Kim, M. Han, K. Shpanskaya, E.H. Lee, E. Tong, M. Iv, J. Seekins, M.P. Lungren, K.R.M. Braun, T.Y. Poussaint, S. Laughlin, M.D. Taylor, R.M. Lober, H. Vogel, P.G. Fisher, G.A. Grant, V. Ramaswamy, N.A. Vitanza, C.Y. Ho, M.S.B. Edwards, S.H. Cheshier and K.W. Yeom
      American Journal of Neuroradiology September 2020, 41 (9) 1718-1725; DOI: https://doi.org/10.3174/ajnr.A6704

      This study cohort comprised 617 children (median age, 92 months; 56% males) from 5 pediatric institutions with posterior fossa tumors: diffuse midline glioma of the pons, medulloblastoma, pilocytic astrocytoma, and ependymoma. There were 199 controls. Tumor histology served as ground truth except for diffuse midline glioma of the pons, which was primarily diagnosed by MR imaging. A modified ResNeXt-50-32x4d architecture served as the backbone for a multitask classifier model, using T2-weighted MRI as input to detect the presence of tumor and predict tumor class. Model tumor detection accuracy exceeded an AUC of 0.99 and was similar to that of 4 radiologists. Model tumor classification accuracy was 92% with an F1 score of 0.80. The model was most accurate at predicting diffuse midline glioma of the pons, followed by pilocytic astrocytoma and medulloblastoma. Ependymoma prediction was the least accurate.

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American Journal of Neuroradiology: 41 (9)
American Journal of Neuroradiology
Vol. 41, Issue 9
1 Sep 2020
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