Index by author
Walk, R.E.
- FELLOWS' JOURNAL CLUBSpine Imaging and Spine Image-Guided InterventionsYou have accessVariability of T2-Relaxation Times of Healthy Lumbar Intervertebral Discs is More Homogeneous within an Individual Than across Healthy IndividualsA. Sharma, R.E. Walk, S.Y. Tang, R. Eldaya, P.J. Owen and D.L. BelavyAmerican 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.
Webster, R.
- EDITOR'S CHOICEPediatric NeuroimagingYou have accessPrognostic Accuracy of Fetal MRI in Predicting Postnatal Neurodevelopmental OutcomeM. Wilson, K. Muir, D. Reddy, R. Webster, C. Kapoor and E. MillerAmerican 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.
Wilson, M.
- EDITOR'S CHOICEPediatric NeuroimagingYou have accessPrognostic Accuracy of Fetal MRI in Predicting Postnatal Neurodevelopmental OutcomeM. Wilson, K. Muir, D. Reddy, R. Webster, C. Kapoor and E. MillerAmerican 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.
Wolff, V.
- NeurointerventionOpen AccessStroke Thrombectomy in Patients with COVID-19: Initial Experience in 13 CasesR. 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. BeaujeuxAmerican Journal of Neuroradiology November 2020, 41 (11) 2012-2016; DOI: https://doi.org/10.3174/ajnr.A6750
Yamaoka, Y.
- Adult BrainYou have accessDetailed Arterial Anatomy and Its Anastomoses of the Sphenoid Ridge and Olfactory Groove Meningiomas with Special Reference to the Recurrent Branches from the Ophthalmic ArteryM. 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. DateAmerican Journal of Neuroradiology November 2020, 41 (11) 2082-2087; DOI: https://doi.org/10.3174/ajnr.A6790
Yoon, B.C.
- Open AccessChest CT Scanning in Suspected Stroke: Not Always Worth the Extra MileM.D. Li, M. Lang, B.C. Yoon, B.P. Applewhite, K. Buch, S.P. Rincon, T.M. Leslie-Mazwi and W.A. MehanAmerican Journal of Neuroradiology November 2020, 41 (11) E86-E87; DOI: https://doi.org/10.3174/ajnr.A6763
- Open AccessRisk of Acute Cerebrovascular Events in Patients with COVID-19 InfectionM. Lang, M.D. Li, K. Buch, B.C. Yoon, B.P. Applewhite, T.M. Leslie-Mazwi, S. Rincon and W.A. MehanAmerican Journal of Neuroradiology November 2020, 41 (11) E92-E93; DOI: https://doi.org/10.3174/ajnr.A6796
Yoshimura, S.
- NeurointerventionOpen AccessComputational Fluid Dynamics Using a Porous Media Setting Predicts Outcome after Flow-Diverter TreatmentM. Beppu, M. Tsuji, F. Ishida, M. Shirakawa, H. Suzuki and S. YoshimuraAmerican Journal of Neuroradiology November 2020, 41 (11) 2107-2113; DOI: https://doi.org/10.3174/ajnr.A6766
Yu, T.J.
- EDITOR'S CHOICEAdult BrainOpen AccessCentrally Reduced Diffusion Sign for Differentiation between Treatment-Related Lesions and Glioma Progression: A Validation StudyP. Alcaide-Leon, J. Cluceru, J.M. Lupo, T.J. Yu, T.L. Luks, T. Tihan, N.A. Bush and J.E. Villanueva-MeyerAmerican 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.
Zakhari, N.
- Adult BrainOpen AccessThe 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. VargasAmerican Journal of Neuroradiology November 2020, 41 (11) 1975-1981; DOI: https://doi.org/10.3174/ajnr.A6743
Zampolin, R.
- Extracranial VascularOpen AccessCOVID-19-Associated Carotid Atherothrombosis and StrokeC. 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. LabovitzAmerican Journal of Neuroradiology November 2020, 41 (11) 1993-1995; DOI: https://doi.org/10.3174/ajnr.A6752