Preoperative Texture Analysis Using 11C-Methionine Positron Emission Tomography Predicts Survival after Surgery for Glioma

DOI HANDLE Web Site 24 References Open Access
  • Osamu Manabe
    Department of Radiology, Saitama Medical Center, Jichi Medical University, 1-847, Amanuma-cho, Saitama-shi 330-8503, Saitama-ken, Japan
  • Shigeru Yamaguchi
    Department of Neurosurgery, Hokkaido University Graduate School of Medicine, Sapporo 060-8638, Japan
  • Kenji Hirata
    Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo 060-8638, Japan
  • Kentaro Kobayashi
    Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo 060-8638, Japan
  • Hiroyuki Kobayashi
    Department of Neurosurgery, Kashiwaba Neurosurgery Hospital, Sapporo 062-8513, Japan
  • Shunsuke Terasaka
    Department of Neurosurgery, Kashiwaba Neurosurgery Hospital, Sapporo 062-8513, Japan
  • Takuya Toyonaga
    PET Center, Department of Radiology and Biomedical Imaging, Yale University School of Medicine, New Haven, CT 06520, USA
  • Keiichi Magota
    Division of Medical Imaging and Technology, Hokkaido University Hospital, Sapporo 060-8648, Japan
  • Yuji Kuge
    Central Institute of Isotope Science, Hokkaido University, Sapporo 060-8638, Japan
  • Nagara Tamaki
    Department of Radiology, Kyoto Prefectural University, Kyoto 606-8522, Japan
  • Tohru Shiga
    Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo 060-8638, Japan
  • Kohsuke Kudo
    Department of Diagnostic Imaging, Hokkaido University Graduate School of Medicine, Sapporo 060-8638, Japan

Bibliographic Information

Published
2021-01-28
Resource Type
journal article
Rights Information
  • https://creativecommons.org/licenses/by/4.0/
DOI
  • 10.3390/diagnostics11020189
Publisher
MDPI AG

Description

<jats:p>Background: Positron emission tomography with 11C-methionine (MET) is well established in the diagnostic work-up of malignant brain tumors. Texture analysis is a novel technique for extracting information regarding relationships among surrounding voxels, in order to quantify their inhomogeneity. This study evaluated whether the texture analysis of MET uptake has prognostic value for patients with glioma. Methods: We retrospectively analyzed adults with glioma who had undergone preoperative metabolic imaging at a single center. Tumors were delineated using a threshold of 1.3-fold of the mean standardized uptake value for the contralateral cortex, and then processed to calculate the texture features in glioma. Results: The study included 42 patients (median age: 56 years). The World Health Organization classifications were grade II (7 patients), grade III (17 patients), and grade IV (18 patients). Sixteen (16.1%) all-cause deaths were recorded during the median follow-up of 18.8 months. The univariate analyses revealed that overall survival (OS) was associated with age (hazard ratio (HR) 1.04, 95% confidence interval (CI) 1.01–1.08, p = 0.0093), tumor grade (HR 3.64, 95% CI 1.63–9.63, p = 0.0010), genetic status (p < 0.0001), low gray-level run emphasis (LGRE, calculated from the gray-level run-length matrix) (HR 2.30 × 1011, 95% CI 737.11–4.23 × 1019, p = 0.0096), and correlation (calculated from the gray-level co-occurrence matrix) (HR 5.17, 95% CI 1.07–20.93, p = 0.041). The multivariate analyses revealed OS was independently associated with LGRE and correlation. The survival curves were also significantly different (both log-rank p < 0.05). Conclusion: Textural features obtained using preoperative MET positron emission tomography may compliment the semi-quantitative assessment for prognostication in glioma cases.</jats:p>

Journal

  • Diagnostics

    Diagnostics 11 (2), 189-, 2021-01-28

    MDPI AG

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