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Differentiation Between Radiation Necrosis and True Tumour Progression After Radiotherapy to Intracranial Metastases
Arian Lasocki1,2,3, Joseph Sia2,4, Stephen L Stuckey1,5,6
1Department of Cancer Imaging, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
Journal of Medical Imaging and Radiation Oncology
|March 9, 2025
Summary
Distinguishing radiation necrosis from tumor progression after radiotherapy is difficult. This review highlights key imaging features and techniques, such as MRI, to help differentiate these conditions accurately.
Area of Science:
- Radiology
- Oncology
- Neurology
Background:
- Differentiating radiation necrosis from true tumor progression post-radiotherapy presents a diagnostic challenge due to similar imaging findings.
- Post-contrast T1-weighted imaging often shows peripherally enhancing lesions for both conditions, complicating diagnosis.
Purpose of the Study:
- To review techniques and imaging features for distinguishing radiation necrosis from tumor progression.
- To identify potential pitfalls in the diagnostic process.
Main Methods:
- Review of imaging features on post-contrast MRI, including lesion enhancement patterns, shape changes, and distribution.
- Evaluation of diffusion restriction patterns and susceptibility-sensitive sequences.
- Consideration of ancillary techniques like MR perfusion and amino acid PET.
Main Results:
- Thin enhancing rims and lesion clustering suggest radiation necrosis, while discrete nodular enhancement indicates active tumor.
- Central diffusion restriction favors radiation necrosis, but pitfalls like hypercellular tumors exist.
- Absence of magnetic susceptibility foci raises concern for active tumor; MR perfusion and PET can aid diagnosis.
Conclusions:
- Accurate differentiation requires careful analysis of multiple imaging features and awareness of potential pitfalls.
- Ancillary techniques like MR perfusion and amino acid PET can enhance diagnostic confidence when uncertainty persists.
- Radiologists must consider atypical presentations and additional clinical factors for optimal patient management.

