American Journal of Neuroradiology: 41 (9)

Index by author

September 01, 2020; Volume 41,Issue 9

Beynon, V.
1. Adult Brain
  
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  Patterning Chronic Active Demyelination in Slowly Expanding/Evolving White Matter MS Lesions
  C. Elliott, D.L. Arnold, H. Chen, C. Ke, L. Zhu, I. Chang, E. Cahir-McFarland, E. Fisher, B. Zhu, S. Gheuens, M. Scaramozza, V. Beynon, N. Franchimont, D.P. Bradley and S. Belachew
  
  American Journal of Neuroradiology September 2020, 41 (9) 1584-1591; DOI: https://doi.org/10.3174/ajnr.A6742
Bilello, M.
1. LETTER
  
  Open Access
  Neuro-Thoracic Radiologists “Corner”: Incidental Pulmonary Findings on a Neck MRI Leading to the Diagnosis of COVID-19
  P. Smith, M. Bilello and S. Mohan
  
  American Journal of Neuroradiology September 2020, 41 (9) E78-E79; DOI: https://doi.org/10.3174/ajnr.A6699
Bilezikian, J.P.
1. Head & Neck
  
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  A Simple Formula to Estimate Parathyroid Weight on 4D-CT, Predict Pathologic Weight, and Diagnose Parathyroid Adenoma in Patients with Primary Hyperparathyroidism
  R. Yeh, Y.-K.D. Tay, L. Dercle, L. Bandeira, M.R. Parekh and J.P. Bilezikian
  
  American Journal of Neuroradiology September 2020, 41 (9) 1690-1697; DOI: https://doi.org/10.3174/ajnr.A6687
Blanc, R.
1. Interventional
  
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  Fusion Image Guidance for Supra-Aortic Vessel Catheterization in Neurointerventions: A Feasibility Study
  A. Feddal, S. Escalard, F. Delvoye, R. Fahed, J.P. Desilles, K. Zuber, H. Redjem, J.S. Savatovsky, G. Ciccio, S. Smajda, M. Ben Maacha, M. Mazighi, M. Piotin and R. Blanc
  
  American Journal of Neuroradiology September 2020, 41 (9) 1663-1669; DOI: https://doi.org/10.3174/ajnr.A6707
Blauwblomme, T.
1. FELLOWS' JOURNAL CLUBPediatrics
  
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  Focal Areas of High Signal Intensity in Children with Neurofibromatosis Type 1: Expected Evolution on MRI
  S. Calvez, R. Levy, R. Calvez, C.-J. Roux, D. Grévent, Y. Purcell, K. Beccaria, T. Blauwblomme, J. Grill, C. Dufour, F. Bourdeaut, F. Doz, M.P. Robert, N. Boddaert and V. Dangouloff-Ros
  
  American Journal of Neuroradiology September 2020, 41 (9) 1733-1739; DOI: https://doi.org/10.3174/ajnr.A6740
  
  The authors retrospectively examined the MRI of children diagnosed with neurofibromatosis type 1 using the National Institutes of Health Consensus Criteria (1987), with imaging follow-up of at least 4 years. They recorded the number, size, and surface area of focal areas of high signal intensity according to their anatomic distribution on T2WI/T2-FLAIR sequences. A generalized mixed model was used to analyze the evolution of focal areas of high signal intensity according to age, and separate analyses were performed for girls and boys. Thirty-nine patients with a median follow-up of 7 years were analyzed. Focal areas of high signal intensity were found in 100% of patients, preferentially in the infratentorial white matter (35% cerebellum, 30% brain stem) and in the capsular lenticular region (22%). They measured 15mm in 95% of cases. The areas appeared from the age of 1 year; increased in number, size, and surface area to a peak at the age of 7; and then spontaneously regressed by 17 years of age. The authors conclude that the study suggests that the evolution of focal areas of high signal intensity is not related to puberty and has a peak at the age of 7 years.
Boddaert, N.
1. FELLOWS' JOURNAL CLUBPediatrics
  
  You have access
  Focal Areas of High Signal Intensity in Children with Neurofibromatosis Type 1: Expected Evolution on MRI
  S. Calvez, R. Levy, R. Calvez, C.-J. Roux, D. Grévent, Y. Purcell, K. Beccaria, T. Blauwblomme, J. Grill, C. Dufour, F. Bourdeaut, F. Doz, M.P. Robert, N. Boddaert and V. Dangouloff-Ros
  
  American Journal of Neuroradiology September 2020, 41 (9) 1733-1739; DOI: https://doi.org/10.3174/ajnr.A6740
  
  The authors retrospectively examined the MRI of children diagnosed with neurofibromatosis type 1 using the National Institutes of Health Consensus Criteria (1987), with imaging follow-up of at least 4 years. They recorded the number, size, and surface area of focal areas of high signal intensity according to their anatomic distribution on T2WI/T2-FLAIR sequences. A generalized mixed model was used to analyze the evolution of focal areas of high signal intensity according to age, and separate analyses were performed for girls and boys. Thirty-nine patients with a median follow-up of 7 years were analyzed. Focal areas of high signal intensity were found in 100% of patients, preferentially in the infratentorial white matter (35% cerebellum, 30% brain stem) and in the capsular lenticular region (22%). They measured 15mm in 95% of cases. The areas appeared from the age of 1 year; increased in number, size, and surface area to a peak at the age of 7; and then spontaneously regressed by 17 years of age. The authors conclude that the study suggests that the evolution of focal areas of high signal intensity is not related to puberty and has a peak at the age of 7 years.
Bonafe, A.
1. FELLOWS' JOURNAL CLUBInterventional
  
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  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.
Bourdeaut, F.
1. FELLOWS' JOURNAL CLUBPediatrics
  
  You have access
  Focal Areas of High Signal Intensity in Children with Neurofibromatosis Type 1: Expected Evolution on MRI
  S. Calvez, R. Levy, R. Calvez, C.-J. Roux, D. Grévent, Y. Purcell, K. Beccaria, T. Blauwblomme, J. Grill, C. Dufour, F. Bourdeaut, F. Doz, M.P. Robert, N. Boddaert and V. Dangouloff-Ros
  
  American Journal of Neuroradiology September 2020, 41 (9) 1733-1739; DOI: https://doi.org/10.3174/ajnr.A6740
  
  The authors retrospectively examined the MRI of children diagnosed with neurofibromatosis type 1 using the National Institutes of Health Consensus Criteria (1987), with imaging follow-up of at least 4 years. They recorded the number, size, and surface area of focal areas of high signal intensity according to their anatomic distribution on T2WI/T2-FLAIR sequences. A generalized mixed model was used to analyze the evolution of focal areas of high signal intensity according to age, and separate analyses were performed for girls and boys. Thirty-nine patients with a median follow-up of 7 years were analyzed. Focal areas of high signal intensity were found in 100% of patients, preferentially in the infratentorial white matter (35% cerebellum, 30% brain stem) and in the capsular lenticular region (22%). They measured 15mm in 95% of cases. The areas appeared from the age of 1 year; increased in number, size, and surface area to a peak at the age of 7; and then spontaneously regressed by 17 years of age. The authors conclude that the study suggests that the evolution of focal areas of high signal intensity is not related to puberty and has a peak at the age of 7 years.
Bradley, D.P.
1. Adult Brain
  
  You have access
  Patterning Chronic Active Demyelination in Slowly Expanding/Evolving White Matter MS Lesions
  C. Elliott, D.L. Arnold, H. Chen, C. Ke, L. Zhu, I. Chang, E. Cahir-McFarland, E. Fisher, B. Zhu, S. Gheuens, M. Scaramozza, V. Beynon, N. Franchimont, D.P. Bradley and S. Belachew
  
  American Journal of Neuroradiology September 2020, 41 (9) 1584-1591; DOI: https://doi.org/10.3174/ajnr.A6742
Braun, K.R.M.
1. EDITOR'S CHOICEPediatrics
  
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  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

Index by author

Beynon, V.

Bilello, M.

Bilezikian, J.P.

Blanc, R.

Blauwblomme, T.

Boddaert, N.

Bonafe, A.

Bourdeaut, F.

Bradley, D.P.

Braun, K.R.M.

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