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Response Assessment in Neuro-Oncology Criteria for Gliomas: Practical Approach Using Conventional and Advanced
D J Leao1, P G Craig2, L F Godoy3,4
1From the Cancer Hospital of Federal University of Uberlandia (D.J.L.), Uberlandia, Brazil diegojoseleao@yahoo.com.br.
AJNR. American Journal of Neuroradiology
|December 21, 2019
Summary
The Response Assessment in Neuro-Oncology criteria help radiologists objectively assess glioma treatment response. Understanding imaging changes from treatments like radiation is key for accurate glioma management.
Area of Science:
- Neuro-Oncology
- Radiology
- Medical Imaging
Background:
- Glioma management relies heavily on imaging for diagnosis and follow-up.
- Interpreting post-treatment imaging in gliomas is complex due to tumor biology and treatment effects.
- The Response Assessment in Neuro-Oncology (RANO) criteria provide an objective framework for this assessment.
Purpose of the Study:
- To review imaging findings for tumor progression, response, pseudoprogression, and pseudoresponse in gliomas using RANO criteria.
- To discuss practical considerations in glioma imaging evaluation, including timing and specific lesion characteristics.
- To correlate conventional MRI with advanced imaging techniques for improved diagnostic accuracy.
Main Methods:
- Discussion of imaging findings associated with treatment response and progression in high-grade and lower-grade gliomas.
- Review of practical issues in glioma imaging interpretation, such as timing post-radiation and T2/FLAIR lesion significance.
- Illustration of advanced MRI techniques (perfusion, diffusion, spectroscopy) and PET correlations with conventional imaging.
Main Results:
- The RANO criteria aid in differentiating true progression from treatment effects like pseudoprogression.
- Understanding the impact of radiation therapy timing and dose is crucial for accurate assessment.
- Advanced imaging techniques offer complementary information to conventional MRI for glioma evaluation.
Conclusions:
- Accurate radiologic assessment using RANO criteria is vital for optimal glioma patient management.
- Distinguishing tumor progression from treatment-induced changes requires integrating clinical, imaging, and sometimes histologic data.
- The study emphasizes the radiologist's role in categorizing findings to guide treatment decisions.

