Radiomic Fingerprinting of the Peritumoral Edema in Brain Tumors
This study demonstrates that peritumoral edema, as characterized by radiomic features extracted from MRIs, contains fingerprints specific to tumor type, providing a non-invasive approach to understanding tumor-brain interactions. The results of this study hold the potential for predicting recurrence, distinguishing progression from pseudo-progression, and assessing treatment-induced changes, particularly in gliomas.
Authors
- Antonio Di Ieva (ORCID: https://orcid.org/0000-0002-5341-5416)
- Ghasem Azemi (ORCID: https://orcid.org/0000-0002-8675-6858)
Institutions
- Macquarie University (AU)
Publication Details
- Journal
- Cancers
- Published
- 2025-02-01
- DOI
- https://doi.org/10.3390/cancers17030478
- Citations
- 6
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 8.16
Funders
- Medical Research Council
- National Health and Medical Research Council