Promise and pitfalls of quantitative imaging in oncology clinical trials

Brenda F Kurland1, Elizabeth R Gerstner, James M Mountz

  • 1Fred Hutchinson Cancer Research Center, Seattle, WA 98019, USA. bkurland@fhcrc.org

Insights

Quantitative imaging is crucial for oncology trials with targeted therapies, assessing more than tumor size. This approach enhances response evaluation in personalized cancer treatment.

Area of Science:

  • Radiology and Oncology
  • Medical Imaging
  • Clinical Trial Design

Background:

  • Molecularly targeted therapies, like antiangiogenic drugs, introduce complexities in assessing treatment response.
  • Traditional tumor size measurements are insufficient for evaluating the efficacy of novel cancer therapies.
  • There is a need for advanced imaging techniques to accurately measure treatment effects beyond tumor volume.

Purpose of the Study:

  • To provide an overview of quantitative imaging applications in oncology clinical trials (Phase 0-III).
  • To highlight the role of quantitative imaging in evaluating molecularly targeted and personalized therapies.
  • To discuss the use of various imaging modalities for assessing treatment response in specific cancer types.

Main Methods:

  • Review of quantitative imaging applications across Phase 0-III oncology trials.
  • Description of computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET) in cancer research.
  • Case examples of quantitative imaging in malignant gliomas, lung cancer, head and neck cancer, lymphoma, breast cancer, prostate cancer, and sarcoma.

Main Results:

  • Quantitative imaging enables measurement of metabolic parameters, pathway modulation, drug delivery, and cell death.
  • Demonstrates the utility of quantitative imaging in assessing response to targeted therapies.
  • Provides a comprehensive overview of modality use in diverse oncological settings.

Conclusions:

  • Quantitative imaging is essential for accurate and reproducible assessment in modern oncology trials.
  • Addressing challenges like trial complexity, recruitment, cost, and institutional barriers is key to wider adoption.
  • Quantitative imaging offers a robust framework for evaluating personalized cancer therapies.