Tumour mechanics and vascular fractality quantification via MR-Elastography in the context of liver metastasis from colorectal cancer
Motivation: Colorectal cancer is a major global cause of cancer-related deaths, often metastasizing to the liver. Standard treatment includes chemotherapy and anti-angiogenic therapy. Quantifying therapy efficacy remains a clinical challenge. Goal(s): We explore multifrequency MR-Elastography (MRE) for assessing vascular organization, using a murine liver metastasis model correlated with histopathology. Approach: The study used MRE imaging of murin liver metastasis model and the corresponding histopathology to analyze vascular organization (fractal dimension), by measuring Hurst index (H-index). Results: The H-index differs significantly between tumor and healthy liver tissue, with normal vasculature displaying a lower H-index compared to the tumoral tissue. Impact: Our in vivo elastography study demonstrates the organization of the vascular network by matching with histological findings. This innovative approach paves the way for non-invasive evaluation of treatments targeting tumor vessels, such as bevacizumab or FOLFOX.
Authors
- Valérie Vilgrain (ORCID: https://orcid.org/0000-0002-3568-7725)
- Giacomo Annio (ORCID: https://orcid.org/0000-0002-0646-635X)
- Samira Laouirem (ORCID: https://orcid.org/0000-0002-7113-4036)
- Valérie Paradis (ORCID: https://orcid.org/0000-0003-3142-3762)
- Asma Boumaza
- Gabrielle Mangin (ORCID: https://orcid.org/0000-0002-1020-7473)
- Ralph Sinkus
- Miguel Albuquerque (ORCID: https://orcid.org/0000-0001-7311-1623)
- Jake Penney
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2024-11-26
- DOI
- https://doi.org/10.58530/2024/3975
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00