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