Synopsis of recent research by authors named "Xenia Fave"
Xenia Fave's research primarily focuses on the applications and challenges of radiomics in oncology, particularly in improving predictive models for patient outcomes in head and neck and lung cancers through advanced imaging techniques.
Recent findings highlight the potential of quantitative imaging features to distinguish between conditions like radiation necrosis and tumor progression, indicating that radiomics could enhance treatment personalization.
Fave's studies also address the standardization issues in imaging analysis, suggesting that harmonization of acquisition methods is critical for validating the clinical utility of radiomics in diverse settings.