Invited review--neuroimaging response assessment criteria for brain tumors in veterinary patients

John H Rossmeisl1, Paulo A Garcia, Gregory B Daniel

  • 1Department of Small Animal Clinical Sciences, Virginia-Maryland Regional College of Veterinary Medicine, VA, 24061; Biomechanical Systems and Veterinary and Comparative Neuro-oncology Laboratories, Department of Biomedical Engineering, Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, VA, 24061.

Insights

Standardized criteria are needed for evaluating brain tumor treatment response in veterinary patients. This review discusses current methods and proposes composite systems combining imaging and clinical data for better assessment.

Area of Science:

  • Veterinary Neurology
  • Neuro-oncology
  • Medical Imaging

Background:

  • Canine brain tumors are valuable translational models for human brain tumor research.
  • Current neuroimaging response assessment lacks standardization in veterinary clinical trials.
  • Existing human criteria (Macdonald, RANO) face challenges when applied to veterinary brain tumors due to unique pathophysiologic features.

Purpose of the Study:

  • To review the strengths and limitations of existing imaging-based brain tumor response criteria.
  • To adapt human criteria (Macdonald, RANO) for veterinary brain tumor assessment.
  • To propose a novel composite response system for veterinary patients.

Main Methods:

  • Review of published literature on neuroimaging response assessment criteria for brain tumors.
  • Analysis of challenges in interpreting therapeutic responses, including pseudoprogression and treatment-induced necrosis.
  • Exploration of advanced imaging techniques (perfusion imaging, PET, MRS) for differentiating tumor progression from treatment effects.

Main Results:

  • Existing human criteria (Macdonald, RANO) have limitations for veterinary brain tumors.
  • Advanced imaging techniques show promise in distinguishing tumor progression from treatment effects.
  • Current objective endpoints (MRI, survival) require complementary clinical assessments.

Conclusions:

  • Standardized, validated composite response systems are needed for veterinary brain tumor clinical trials.
  • Combining imaging and clinical assessment criteria will provide more relevant therapeutic response metrics.
  • Further research is required to develop and validate these composite systems for veterinary neuro-oncology.

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