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Updated: Apr 22, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
Published on: June 7, 2020
Pros and cons of current brain tumor imaging
Benjamin M Ellingson1, Patrick Y Wen1, Martin J van den Bent1
1Department of Radiological Sciences (B.M.E.), Department of Biomedical Physics, David Geffen School of Medicine at UCLA (B.M.E.); Department of Bioengineering, Henry Samueli School of Engineering and Applied Science at UCLA (B.M.E.); Brain Research Institute, David Geffen School of Medicine at UCLA (B.M.E., T.F.C.); UCLA Neuro-Oncology Program, David Geffen School of Medicine at UCLA, Los Angeles, California (B.M.E., T.F.C.); Center for Neuro-Oncology, Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, Massachusetts (P.Y.W.); Department of Neuro-Oncology, Erasmus MC Cancer Institute, Rotterdam, Netherlands (M.J.v.d.B.); Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, California (T.F.C.).
Assessing brain tumor treatment effectiveness is challenging. This review focuses on imaging endpoints for high-grade gliomas, including new criteria for evaluating tumor response and progression-free survival.
Area of Science:
- Neuro-oncology
- Radiology
- Clinical Trial Design
Background:
- Limited approval of new agents for brain tumor treatment over two decades.
- Significant challenges exist in evaluating the efficacy of novel therapeutic agents for brain tumors.
- Traditional oncology endpoints like overall survival are insufficient for neuro-oncology.
Purpose of the Study:
- To review key challenges in assessing tumor response to therapy in adult high-grade gliomas.
- To discuss the strengths and limitations of various imaging-based endpoints in neuro-oncology.
- To highlight advancements in neuro-oncology endpoints since the 2006 Brain Tumor Endpoints Workshop.
Main Methods:
- Review of literature and advancements in neuro-oncology endpoint assessment.
- Focus on imaging-based endpoints, including T2/fluid-attenuated inversion recovery (FLAIR).
- Discussion of Response Assessment in Neuro-Oncology (RANO) criteria.
Main Results:
- Progression-free survival and response rate are valuable endpoints in neuro-oncology.
- RANO criteria improve the assessment of tumor response in clinical trials.
- Evaluation of pseudoprogression, pseudoresponse, and inflammatory responses in radiographic images is crucial.
Conclusions:
- Imaging endpoints, particularly RANO criteria, are essential for evaluating novel agents in high-grade gliomas.
- Objective response rates and progression-free survival are critical in clinical trial design.
- Accurate interpretation of radiographic changes, including pseudoprogression, is vital for effective treatment assessment.
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