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AJNR Awards, New Junior Editors, and more. Read the latest AJNR updates

Index by author

November 01, 2020; Volume 41,Issue 11
  • A
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  • K
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  1. Walk, R.E.

    1. FELLOWS' JOURNAL CLUBSpine Imaging and Spine Image-Guided Interventions
      You have access
      Variability of T2-Relaxation Times of Healthy Lumbar Intervertebral Discs is More Homogeneous within an Individual Than across Healthy Individuals
      A. Sharma, R.E. Walk, S.Y. Tang, R. Eldaya, P.J. Owen and D.L. Belavy
      American Journal of Neuroradiology November 2020, 41 (11) 2160-2165; DOI: https://doi.org/10.3174/ajnr.A6791

      Using prospectively acquired T2-relaxometry data from 606 intervertebral discs in 101 volunteers without back pain in a narrow age range (25–35 years), the authors calculated intra- and intersubject variation in T2 times of IVDs graded by 2 neuroradiologists on the Pfirrmann scale. Intrasubject variation of IVDs was assessed relative to other healthy IVDs (Pfirrmann grade, #2) in the same individual. Multiple intersubject variability measures were calculated using healthy extraneous references ranging from a single randomly selected IVD to all healthy extraneous IVDs, without and with segmental stratification. They conclude that the study demonstrates a significantly higher variation in the T2 times of IVDs across subjects, and suggests that normative measures based on the T2 times of healthy lumbar IVDs from the same individual are likely to provide the most discriminating means of identifying degenerated IVDs on the basis of T2 relaxometry.

  2. Webster, R.

    1. EDITOR'S CHOICEPediatric Neuroimaging
      You have access
      Prognostic Accuracy of Fetal MRI in Predicting Postnatal Neurodevelopmental Outcome
      M. Wilson, K. Muir, D. Reddy, R. Webster, C. Kapoor and E. Miller
      American Journal of Neuroradiology November 2020, 41 (11) 2146-2154; DOI: https://doi.org/10.3174/ajnr.A6770

      The authors identified all fetal MR imaging performed at their institution during a 10-year period (n = 145) and assessed agreement between prenatal prognosis and postnatal outcome. Prenatal prognosis was determined by a pediatric neurologist who reviewed the fetal MR imaging report and categorized each pregnancy as having a favorable, indeterminate, or poor prognosis. Assessment of postnatal neurodevelopmental outcome was made solely on the basis of the child's Gross Motor Function Classification System score and whether the child developed epilepsy. Postnatal outcome was categorized as favorable, intermediate, or poor. There was 93.0% agreement between prenatal and postnatal imaging diagnoses. Prognosis was favorable in 44.2%, indeterminate in 50.0%, and poor in 5.8% of pregnancies. There was 93.5% agreement between a favorable prenatal prognosis and a favorable postnatal outcome.

  3. Wilson, M.

    1. EDITOR'S CHOICEPediatric Neuroimaging
      You have access
      Prognostic Accuracy of Fetal MRI in Predicting Postnatal Neurodevelopmental Outcome
      M. Wilson, K. Muir, D. Reddy, R. Webster, C. Kapoor and E. Miller
      American Journal of Neuroradiology November 2020, 41 (11) 2146-2154; DOI: https://doi.org/10.3174/ajnr.A6770

      The authors identified all fetal MR imaging performed at their institution during a 10-year period (n = 145) and assessed agreement between prenatal prognosis and postnatal outcome. Prenatal prognosis was determined by a pediatric neurologist who reviewed the fetal MR imaging report and categorized each pregnancy as having a favorable, indeterminate, or poor prognosis. Assessment of postnatal neurodevelopmental outcome was made solely on the basis of the child's Gross Motor Function Classification System score and whether the child developed epilepsy. Postnatal outcome was categorized as favorable, intermediate, or poor. There was 93.0% agreement between prenatal and postnatal imaging diagnoses. Prognosis was favorable in 44.2%, indeterminate in 50.0%, and poor in 5.8% of pregnancies. There was 93.5% agreement between a favorable prenatal prognosis and a favorable postnatal outcome.

  4. Wolff, V.

    1. Neurointervention
      Open Access
      Stroke Thrombectomy in Patients with COVID-19: Initial Experience in 13 Cases
      R. Pop, A. Hasiu, F. Bolognini, D. Mihoc, V. Quenardelle, R. Gheoca, E. Schluck, S. Courtois, M. Delaitre, M. Musacchio, J. Pottecher, T.-N. Chamaraux-Tran, F. Sellal, V. Wolff, P.A. Lebedinsky and R. Beaujeux
      American Journal of Neuroradiology November 2020, 41 (11) 2012-2016; DOI: https://doi.org/10.3174/ajnr.A6750
  5. Yamaoka, Y.

    1. Adult Brain
      You have access
      Detailed Arterial Anatomy and Its Anastomoses of the Sphenoid Ridge and Olfactory Groove Meningiomas with Special Reference to the Recurrent Branches from the Ophthalmic Artery
      M. Hiramatsu, K. Sugiu, T. Hishikawa, J. Haruma, Y. Takahashi, S. Murai, K. Nishi, Y. Yamaoka, Y. Shimazu, K. Fujii, M. Kameda, K. Kurozumi and I. Date
      American Journal of Neuroradiology November 2020, 41 (11) 2082-2087; DOI: https://doi.org/10.3174/ajnr.A6790
  6. Yoon, B.C.

    1. Open Access
      Chest CT Scanning in Suspected Stroke: Not Always Worth the Extra Mile
      M.D. Li, M. Lang, B.C. Yoon, B.P. Applewhite, K. Buch, S.P. Rincon, T.M. Leslie-Mazwi and W.A. Mehan
      American Journal of Neuroradiology November 2020, 41 (11) E86-E87; DOI: https://doi.org/10.3174/ajnr.A6763
    2. Open Access
      Risk of Acute Cerebrovascular Events in Patients with COVID-19 Infection
      M. Lang, M.D. Li, K. Buch, B.C. Yoon, B.P. Applewhite, T.M. Leslie-Mazwi, S. Rincon and W.A. Mehan
      American Journal of Neuroradiology November 2020, 41 (11) E92-E93; DOI: https://doi.org/10.3174/ajnr.A6796
  7. Yoshimura, S.

    1. Neurointervention
      Open Access
      Computational Fluid Dynamics Using a Porous Media Setting Predicts Outcome after Flow-Diverter Treatment
      M. Beppu, M. Tsuji, F. Ishida, M. Shirakawa, H. Suzuki and S. Yoshimura
      American Journal of Neuroradiology November 2020, 41 (11) 2107-2113; DOI: https://doi.org/10.3174/ajnr.A6766
  8. Yu, T.J.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Centrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation Study
      P. Alcaide-Leon, J. Cluceru, J.M. Lupo, T.J. Yu, T.L. Luks, T. Tihan, N.A. Bush and J.E. Villanueva-Meyer
      American Journal of Neuroradiology November 2020, 41 (11) 2049-2054; DOI: https://doi.org/10.3174/ajnr.A6843

      Images of 231 patients who underwent an operation for suspected glioma recurrence were reviewed. Patients with susceptibility artifacts or without central necrosis were excluded. The final diagnosis was established according to histopathology reports. Two neuroradiologists classified the diffusion patterns on preoperative MR imaging as the following: 1) reduced diffusion in the solid component only, 2) reduced diffusion mainly in the solid component, 3) no reduced diffusion, 4) reduced diffusion mainly in the central necrosis, and 5) reduced diffusion in the central necrosis only. A total of 103 patients were included (22 with treatment-related lesions and 81 with tumor progression). The diagnostic accuracy results for the centrally reduced diffusion pattern as a predictor of treatment-related lesions (“mainly central” and “exclusively central” patterns versus all other patterns) were: 64% sensitivity, 84% specificity, 52% positive predictive value, and 89% negative predictive value.

  9. Zakhari, N.

    1. Adult Brain
      Open Access
      The Perplexity Surrounding Chiari Malformations – Are We Any Wiser Now?
      S.B. Hiremath, A. Fitsiori, J. Boto, C. Torres, N. Zakhari, J.-L. Dietemann, T.R. Meling and M.I. Vargas
      American Journal of Neuroradiology November 2020, 41 (11) 1975-1981; DOI: https://doi.org/10.3174/ajnr.A6743
  10. Zampolin, R.

    1. Extracranial Vascular
      Open Access
      COVID-19-Associated Carotid Atherothrombosis and Stroke
      C. Esenwa, N.T. Cheng, E. Lipsitz, K. Hsu, R. Zampolin, A. Gersten, D. Antoniello, A. Soetanto, K. Kirchoff, A. Liberman, P. Mabie, T. Nisar, D. Rahimian, A. Brook, S.-K. Lee, N. Haranhalli, D. Altschul and D. Labovitz
      American Journal of Neuroradiology November 2020, 41 (11) 1993-1995; DOI: https://doi.org/10.3174/ajnr.A6752
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American Journal of Neuroradiology: 41 (11)
American Journal of Neuroradiology
Vol. 41, Issue 11
1 Nov 2020
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