Pseudo progression identification of glioblastoma with dictionary learning.

Journal: Computers in biology and medicine
PMID: 27100835

Abstract

OBJECTIVE: Although the use of temozolomide in chemoradiotherapy is effective, the challenging clinical problem of pseudo progression has been raised in brain tumor treatment. This study aims to distinguish pseudo progression from true progression.

Authors

  • Jian Zhang
    College of Pharmacy, Ningxia Medical University, Yinchuan, NingxiaHui Autonomous Region, China.
  • Hengyong Yu
    Department of Electrical and Computer Engineering, University of Masachusetts Lowell, Lowell, MA 01854, USA.
  • Xiaohua Qian
    Department of Diagnostic Radiology, Wake Forest Medical School, Winston-Salem, NC 27103, USA.
  • Keqin Liu
    Department of Diagnostic Radiology, Wake Forest Medical School, Winston-Salem, NC 27103, USA.
  • Hua Tan
    Department of Diagnostic Radiology, Wake Forest Medical School, Winston-Salem, NC 27103, USA.
  • Tielin Yang
    School of Life Science, Xi'an Jiaotong University, Xi'an, Shanxi 710049, China.
  • Maode Wang
    The First Affiliated Hospital, Xi'an Jiaotong University, Xi'an, Shanxi 710049, China.
  • King Chuen Li
    Department of Diagnostic Radiology, Wake Forest Medical School, Winston-Salem, NC 27103, USA.
  • Michael D Chan
    Department of Radiation Oncology, Wake Forest Medical School, Winston-Salem, NC 27103, USA.
  • Waldemar Debinski
    Department of Radiation Oncology, Wake Forest Medical School, Winston-Salem, NC 27103, USA.
  • Anna Paulsson
    Department of Radiation Oncology, Wake Forest Medical School, Winston-Salem, NC 27103, USA.
  • Ge Wang
    Biomedical Imaging Center, Rensselaer Polytechnic Institute, Troy, New York, USA.
  • Xiaobo Zhou
    Department of Diagnostic Radiology, Wake Forest Medical School, Winston-Salem, NC 27103, USA. Electronic address: xizhou@wakehealth.edu.

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