Advertisement

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

Index by author

September 01, 2017; Volume 38,Issue 9

  1. Xia, Y.

    1. Adult Brain
      Open Access
      Focal Low and Global High Permeability Predict the Possibility, Risk, and Location of Hemorrhagic Transformation following Intra-Arterial Thrombolysis Therapy in Acute Stroke
      Y. Li, Y. Xia, H. Chen, N. Liu, A. Jackson, M. Wintermark, Y. Zhang, J. Hu, B. Wu, W. Zhang, J. Tu, Z. Su and G. Zhu
      American Journal of Neuroradiology September 2017, 38 (9) 1730-1736; DOI: https://doi.org/10.3174/ajnr.A5287

  2. Xiang, Z.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Identification and Quantitative Assessment of Different Components of Intracranial Atherosclerotic Plaque by Ex Vivo 3T High-Resolution Multicontrast MRI
      Y. Jiang, W. Peng, B. Tian, C. Zhu, L. Chen, X. Wang, Q. Liu, Y. Wang, Z. Xiang, A.J. Degnan, Z. Teng, D. Saloner and J. Lu
      American Journal of Neuroradiology September 2017, 38 (9) 1716-1722; DOI: https://doi.org/10.3174/ajnr.A5266

      Fifty-three intracranial arterial specimens with atherosclerotic plaques from 20 cadavers were imaged by 3T MR with T1, T2, and proton-density–weighted FSE and STIR sequences. The signal characteristics and areas of fibrous cap, lipid core, calcification, fibrous tissue, and healthy vessel wall were recorded on MR images and compared with histology. The signal intensity of the lipid core was significantly lower than that of the fibrous cap on T2-weighted, proton-density, and STIR sequences and was comparable on T1-weighted sequences. Optimal contrast between the lipid core and fibrous cap was found on T2-weighted images. Ex vivo 3T MR imaging can accurately identify and quantitatively assess intracranial atherosclerotic plaque components, providing a direct reference for in vivo intracranial plaque imaging.

  3. Xu, X.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Relationship between Glioblastoma Heterogeneity and Survival Time: An MR Imaging Texture Analysis
      Y. Liu, X. Xu, L. Yin, X. Zhang, L. Li and H. Lu
      American Journal of Neuroradiology September 2017, 38 (9) 1695-1701; DOI: https://doi.org/10.3174/ajnr.A5279

      A group of 133 patients with primary glioblastoma who underwent postcontrast T1-weighted imaging (acquired before treatment) and whose data were filed with the survival times were selected from the Cancer Genome Atlas. On the basis of overall survival, the patients were divided into 2 groups: long-term (≥12 months, n = 67) and short-term (<12 months, n = 66) survival. To measure heterogeneity, the authors extracted 3 types of textures, co-occurrence matrix, run-length matrix, and histogram, reflecting local, regional, and global spatial variations, respectively. Then the support vector machine classification was used to determine how different texture types perform in differentiating the 2 groups. The results suggest that local and regional heterogeneity may play an important role in the survival stratification of patients with glioblastoma.

Back to top

In this issue

Advertisement
Advertisement