American Journal of Neuroradiology: 38 (5)

Index by author

May 01, 2017; Volume 38,Issue 5

Seres, P.
1. ADULT BRAIN
  
  Open Access
  Cognitive Implications of Deep Gray Matter Iron in Multiple Sclerosis
  E. Fujiwara, J.A. Kmech, D. Cobzas, H. Sun, P. Seres, G. Blevins and A.H. Wilman
  
  American Journal of Neuroradiology May 2017, 38 (5) 942-948; DOI: https://doi.org/10.3174/ajnr.A5109
Sheikh-bahaei, N.
1. ADULT BRAIN
  
  Open Access
  Can MRI Visual Assessment Differentiate the Variants of Primary-Progressive Aphasia?
  S.A. Sajjadi, N. Sheikh-Bahaei, J. Cross, J.H. Gillard, D. Scoffings and P.J. Nestor
  
  American Journal of Neuroradiology May 2017, 38 (5) 954-960; DOI: https://doi.org/10.3174/ajnr.A5126
Sheth, S.A.
1. EDITOR'S CHOICEADULT BRAIN
  
  You have access
  A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies
  P.D. Chang, H.R. Malone, S.G. Bowden, D.S. Chow, B.J.A. Gill, T.H. Ung, J. Samanamud, Z.K. Englander, A.M. Sonabend, S.A. Sheth, G.M. McKhann, M.B. Sisti, L.H. Schwartz, A. Lignelli, J. Grinband, J.N. Bruce and P. Canoll
  
  American Journal of Neuroradiology May 2017, 38 (5) 890-898; DOI: https://doi.org/10.3174/ajnr.A5112
  
  Ninety-one localized biopsies were obtained from 36 patients with glioblastoma. Signal intensities corresponding to these samples were derived from T1-postcontrast subtraction, T2-FLAIR, and ADC sequences by using an automated coregistration algorithm. Cell density was calculated for each specimen by using an automated cell-counting algorithm. T2-FLAIR and ADC sequences were inversely correlated with cell density. T1-postcontrast subtraction was directly correlated with cell density. The authors conclude that the model illustrates a quantitative and significant relationship between MR signal and cell density. Applying this relationship over the entire tumor volume allows mapping of the intratumoral heterogeneity for both enhancing core and nonenhancing margins.
Silva Junior, M.L.M.
1. SPINE
  
  Open Access
  Spectrum of Spinal Cord, Spinal Root, and Brain MRI Abnormalities in Congenital Zika Syndrome with and without Arthrogryposis
  M.F.V.V. Aragao, A.M. Brainer-Lima, A.C. Holanda, V. van der Linden, L. Vasco Aragão, M.L.M. Silva Júnior, C. Sarteschi, N.C.L. Petribu and M.M. Valença
  
  American Journal of Neuroradiology May 2017, 38 (5) 1045-1053; DOI: https://doi.org/10.3174/ajnr.A5125
Simon, S.
1. EDITOR'S CHOICEINTERVENTIONAL
  
  You have access
  Risk of Thrombus Fragmentation during Endovascular Stroke Treatment
  J. Kaesmacher, T. Boeckh-Behrens, S. Simon, C. Maegerlein, J.F. Kleine, C. Zimmer, L. Schirmer, H. Poppert and T. Huber
  
  American Journal of Neuroradiology May 2017, 38 (5) 991-998; DOI: https://doi.org/10.3174/ajnr.A5105
  
  The authors evaluated the potential relationship between thrombus histology and clot stability in 85 patients with anterior circulation stroke treated with thrombectomy. The number and location of emboli after retrieving the primary thrombus, the number of maneuvers, and TICI scores were evaluated. H&E and neutrophil elastase staining of retrieved clots was performed. An inverse correlation between maneuvers required for thrombus retrieval and the number of distal and intermediate emboli was observed. Younger patients were at higher risk for periprocedural thrombus fragmentation. Bridging thrombolysis tended to be associated with fewer maneuvers but more emboli. They conclude that younger age, easy-to-retrieve thrombi, and bridging thrombolysis may be risk factors for periprocedural thrombus fragmentation. Higher neutrophil levels in the thrombus tissue were related to an increased risk of periprocedural thrombus fragmentation.
Sisti, M.B.
1. EDITOR'S CHOICEADULT BRAIN
  
  You have access
  A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies
  P.D. Chang, H.R. Malone, S.G. Bowden, D.S. Chow, B.J.A. Gill, T.H. Ung, J. Samanamud, Z.K. Englander, A.M. Sonabend, S.A. Sheth, G.M. McKhann, M.B. Sisti, L.H. Schwartz, A. Lignelli, J. Grinband, J.N. Bruce and P. Canoll
  
  American Journal of Neuroradiology May 2017, 38 (5) 890-898; DOI: https://doi.org/10.3174/ajnr.A5112
  
  Ninety-one localized biopsies were obtained from 36 patients with glioblastoma. Signal intensities corresponding to these samples were derived from T1-postcontrast subtraction, T2-FLAIR, and ADC sequences by using an automated coregistration algorithm. Cell density was calculated for each specimen by using an automated cell-counting algorithm. T2-FLAIR and ADC sequences were inversely correlated with cell density. T1-postcontrast subtraction was directly correlated with cell density. The authors conclude that the model illustrates a quantitative and significant relationship between MR signal and cell density. Applying this relationship over the entire tumor volume allows mapping of the intratumoral heterogeneity for both enhancing core and nonenhancing margins.
Sogani, S.K.
1. ADULT BRAIN
  
  You have access
  Multiparametric Evaluation in Differentiating Glioma Recurrence from Treatment-Induced Necrosis Using Simultaneous ¹⁸F-FDG-PET/MRI: A Single-Institution Retrospective Study
  A. Jena, S. Taneja, A. Jha, N.K. Damesha, P. Negi, G.K. Jadhav, S.M. Verma and S.K. Sogani
  
  American Journal of Neuroradiology May 2017, 38 (5) 899-907; DOI: https://doi.org/10.3174/ajnr.A5124
Sonabend, A.M.
1. EDITOR'S CHOICEADULT BRAIN
  
  You have access
  A Multiparametric Model for Mapping Cellularity in Glioblastoma Using Radiographically Localized Biopsies
  P.D. Chang, H.R. Malone, S.G. Bowden, D.S. Chow, B.J.A. Gill, T.H. Ung, J. Samanamud, Z.K. Englander, A.M. Sonabend, S.A. Sheth, G.M. McKhann, M.B. Sisti, L.H. Schwartz, A. Lignelli, J. Grinband, J.N. Bruce and P. Canoll
  
  American Journal of Neuroradiology May 2017, 38 (5) 890-898; DOI: https://doi.org/10.3174/ajnr.A5112
  
  Ninety-one localized biopsies were obtained from 36 patients with glioblastoma. Signal intensities corresponding to these samples were derived from T1-postcontrast subtraction, T2-FLAIR, and ADC sequences by using an automated coregistration algorithm. Cell density was calculated for each specimen by using an automated cell-counting algorithm. T2-FLAIR and ADC sequences were inversely correlated with cell density. T1-postcontrast subtraction was directly correlated with cell density. The authors conclude that the model illustrates a quantitative and significant relationship between MR signal and cell density. Applying this relationship over the entire tumor volume allows mapping of the intratumoral heterogeneity for both enhancing core and nonenhancing margins.
Sorte, D.E.
1. FELLOWS' JOURNAL CLUBSPINE
  
  You have access
  Intraforaminal Location of Thoracolumbar Radicular Arteries Providing an Anterior Radiculomedullary Artery Using Flat Panel Catheter Angiotomography
  L. Gregg, D.E. Sorte and P. Gailloud
  
  American Journal of Neuroradiology May 2017, 38 (5) 1054-1060; DOI: https://doi.org/10.3174/ajnr.A5104
  
  Ninety-four flat panel catheter angiotomography acquisitions obtained during the selective injection of intersegmental arteries providing an anterior radiculomedullary artery were reviewed. The location of radicular arteries could be ascertained in 78/94 flat panel catheter angiotomography acquisitions. Fifty-three acquisitions (67.9%) were on the left side, and 25 (32.1%), on the right, between T2 and L3. The arteries were found in the anterosuperior quadrant in 75 cases (96.2%), in the posterosuperior quadrant in 2 (2.6%), and in the anteroinferior quadrant in 1(1.3%). Needle placement in the anterosuperior quadrant (subpedicular approach) should be avoided during transforaminal epidural steroid injection. The authors advocate the posterolateral approach that allows placing the needle tip away from the documented position of ARMA contributors within the neural foramen, reducing the risk of intra-arterial injection or injury to the spinal vascularization.
Spence, J.D.
1. You have access
  3D Ultrasound for Imaging and Quantifying Carotid Ulcers
  J.D. Spence
  
  American Journal of Neuroradiology May 2017, 38 (5) E34-E36; DOI: https://doi.org/10.3174/ajnr.A5130

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American Journal of Neuroradiology

Index by author

Seres, P.

Sheikh-bahaei, N.

Sheth, S.A.

Silva Junior, M.L.M.

Simon, S.

Sisti, M.B.

Sogani, S.K.

Sonabend, A.M.

Sorte, D.E.

Spence, J.D.

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