Related Experiment Video
Updated: May 6, 2026

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator
Published on: December 28, 2017
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.
Abstract:
The evaluation of therapeutic response using cross-sectional imaging techniques, particularly gadolinium-enhanced MRI, is an integral part of the clinical management of brain tumors in veterinary patients. Spontaneous canine brain tumors are increasingly recognized and utilized as a translational model for the study of human brain tumors. However, no standardized neuroimaging response assessment criteria have been formulated for use in veterinary clinical trials. Previous studies have found that the pathophysiologic features inherent to brain tumors and the surrounding brain complicate the use of the response evaluation criteria in solid tumors (RECIST) assessment system. Objectives of this review are to describe strengths and limitations of published imaging-based brain tumor response criteria and propose a system for use in veterinary patients. The widely used human Macdonald and response assessment in neuro-oncology (RANO) criteria are reviewed and described as to how they can be applied to veterinary brain tumors. Discussion points will include current challenges associated with the interpretation of brain tumor therapeutic responses such as imaging pseudophenomena and treatment-induced necrosis, and how advancements in perfusion imaging, positron emission tomography, and magnetic resonance spectroscopy have shown promise in differentiating tumor progression from therapy-induced changes. Finally, although objective endpoints such as MR imaging and survival estimates will likely continue to comprise the foundations for outcome measures in veterinary brain tumor clinical trials, we propose that in order to provide a more relevant therapeutic response metric for veterinary patients, composite response systems should be formulated and validated that combine imaging and clinical assessment criteria.
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.
More Related Videos
06:44Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
Published on: June 7, 2020
07:57Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
Published on: March 24, 2022