Key result
Advanced imaging with F-FDG PET/CT and radiomics improves Ewing sarcoma risk stratification and treatment planning.
Why the study?
To provide a practical, updated, structured imaging framework reviewing modality-specific findings, staging strategies, and response assessment tools to optimize diagnosis, risk stratification, and treatment planning in Ewing sarcoma.
Advanced imaging techniques and quantitative methods provide a structured framework for optimizing diagnosis and treatment planning in Ewing sarcoma.
Should not yet change Ewing sarcoma imaging practice; leaves open radiomics-AI role pending prospective validation.
F-FDG PET/CT enable sensitive detection of metastatic disease, with PET providing metabolic biomarkers correlated with prognosis and chemotherapy response. Imaging features, including tumor volume, diffusion metrics, and changes in contrast enhancement, increasingly allow non-invasive prediction of histologic response, a key determinant of survival. Lastly, recent quantitative methods, such as radiomics and artificial intelligence, show promise for differentiating Ewing sarcoma from other sarcomas, predicting metastases, and anticipating local recurrence. By reviewing modality-specific findings, staging strategies, and response assessment tools, this article provides a practical, updated, structured framework for radiologists and oncologists to optimize diagnosis, risk stratification, and treatment planning in Ewing sarcoma, ultimately improving patient care.
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Matcuk et al. (2026) conducted a review in Ewing sarcoma. Imaging modalities (F-FDG PET/CT, radiomics, AI) was evaluated. Advanced imaging techniques, including F-FDG PET/CT and radiomics, provide valuable prognostic biomarkers and improve risk stratification and treatment planning in Ewing sarcoma.
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