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Emerging techniques and technologies in brain tumor imaging

Benjamin M Ellingson1, Martin Bendszus1, A Gregory Sorensen1

  • 1Department of Radiological Sciences, David Geffen School of Medicine at University of California, Los Angeles, California (B.M.E., W.B.P.); Department of Biomedical Physics, David Geffen School of Medicine at University of California, Los Angeles, California (B.M.E.); Department of Bioengineering, Henry Samueli School of Engineering and Applied Science at University of California, Los Angeles, California (B.M.E.); Brain Research Institute, David Geffen School of Medicine at University of California, Los Angeles, California (B.M.E.); UCLA Neuro-Oncology Program, David Geffen School of Medicine at University of California, Los Angeles, California (B.M.E.); Department of Neuroradiology, University of Heidelberg, Heidelberg, Germany (M.B.); Siemens Healthcare, Erlangen, Germany (A.G.S.).

Neuro-Oncology
|October 15, 2014
PubMed

Insights

Standardized imaging and volumetric analysis improve brain tumor response detection in clinical trials. Advanced techniques like diffusion MRI and amino acid PET show promise for more accurate treatment monitoring.

Area of Science:

  • Neuroimaging
  • Oncology
  • Radiology

Background:

  • Accurate assessment of brain tumor treatment response is crucial for clinical trial success.
  • Multicenter clinical trials require standardized and reliable imaging methods for evaluating treatment efficacy.

Purpose of the Study:

  • To review current and emerging imaging techniques for detecting brain tumor treatment response in multicenter clinical trials.
  • To highlight the importance of standardization in image acquisition and analysis for improved quantification.

Main Methods:

  • Review of existing imaging technologies and their application in clinical trials.
  • Discussion of potential advancements including diffusion MRI, perfusion MRI, and amino acid PET.
  • Exploration of novel techniques like 2(3)Na MRI and CEST imaging.

Main Results:

  • Standardized image acquisition, volumetric measurements, and subtraction maps enhance tumor visualization and quantification.
  • Diffusion MRI, perfusion MRI, and amino acid PET offer potential for improved detection of treatment response.
  • Emerging technologies like 2(3)Na MRI and CEST imaging are under investigation for quantitative assessment.

Conclusions:

  • Standardization of current imaging techniques is vital for reliable assessment of brain tumor treatment response.
  • Advanced and novel imaging technologies hold significant promise for enhancing quantitative evaluation in clinical trials.
  • Continued research and development are necessary to fully realize the potential of these techniques in neuro-oncology.
Keywords:
MRIPETT1 subtractionbrain tumorsdiffusion MRIimaging biomarkerperfusion MRIresponse assessment

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