Mapping Therapeutic Response in a Patient with Malignant Glioma Academic Article uri icon

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abstract

  • Short-interval scanning of patients offers a detailed understanding of the natural progression of tumor tissue, as revealed through imaging markers such as contrast enhancement and edema, prior to therapy. Following treatment, short-interval scanning can also provide evidence of attenuation of growth rates. We present a longitudinal imaging study of a patient with glioblastoma multiforme (GBM) scanned 15 times in 104 days on a 3 T MR scanner. Images were analyzed independently by two automated algorithms capable of creating detailed maps of tumor changes as well as volumetric analysis. The algorithms, a nearest-neighbor-based tissue segmentation and a surface-modeling algorithm, tracked the patient's response to temozolomide, showing an attenuation of growth. The need for surrogate imaging end-points, of which growth rates are an example, is discussed. Further, the strengths of these algorithms, the insight gained by short-interval scanning, and the need for a better understanding of imaging markers are also described.

authors

  • Haney, Sean M
  • Thompson, Paul M
  • Cloughesy, Timothy F
  • Alger, Jeffrey R
  • Frew, Andrew J
  • Torres-Trejo, Alejandro
  • Mazziotta, John C
  • Toga, Arthur W

publication date

  • July 2001