7T MRI and histology reveal early tissue and perfusion changes after radiofrequency ablation in a murine colorectal cancer model
Considering neo-angiogenesis as one of the most important hallmarks of solid tumors and a key promoter of recurrence, perfusion studies represent a modality to investigate tumor's vascularization and to identify its influence on chemotherapy efficacy. To analyze neoplastic tissue adjacent to radiofrequency thermal-ablation (RFA) areas to demonstrate early perfusion anomalies and to suggest the synergic role of ablative techniques with chemotherapy treatments. In this prospective study, a total of 10 mice were subjected to a colon-carcinoma cell implantation and after the tumor colonization the RFA procedure was performed. All mice underwent a 7T MRI including 2D single-echo single-shot Dynamic-Contrast-Enhanced (DCE) sequences with intravenous injection of Gadolinium-based contrast agent (CA), before and after 72 h from RFA treatment. Data-driven segmentation of the tumor mass enabled the identification of three ROIs with peculiar pharmacokinetic profiles of CA uptake: VTA, viable tumor area; PNA, partial necrotic area; CNA, complete necrotic area. Within these ROIs, permeability (K-trans and Extravascular-extracellular volume, Ve) and perfusion (Time to Peak, TTP) indices were evaluated with non-parametric paired samples Wilcoxon tests. Robust increase of Ve (PNA and VTA, p = 0.014, p < 0.001, respectively) and TTP (VTA, p < 0.01) is consistent with severe cellular and vascular damage induced by RFA. Perfusion MRI enables robust detection of significant modulation of the microvasculature within 72 h from radiofrequency induced ablation in a murine model of colon-carcinoma. This opens a potentially new time window for the evaluation of therapeutic effects of RFA-enhanced chemotherapy.
Authors
- Riccardo De Robertis (ORCID: https://orcid.org/0000-0003-0930-4337)
- Marco Aurélio Gerosa (ORCID: https://orcid.org/0000-0003-1399-7535)
- Luisa Tomaiuolo
- Mirko D’Onofrio (ORCID: https://orcid.org/0000-0003-3229-9329)
- Flavia Merigo
- Stefano Tambalo (ORCID: https://orcid.org/0000-0003-2562-1324)
- Salvatore Paiella (ORCID: https://orcid.org/0000-0001-6893-8618)
- Alessandro Negri (ORCID: https://orcid.org/0000-0002-7828-2947)
- Pasquina Marzola (ORCID: https://orcid.org/0000-0001-6936-8901)
- Nicolò Cardobi (ORCID: https://orcid.org/0000-0001-7856-3442)
- Federica Vurro (ORCID: https://orcid.org/0000-0001-5896-5153)
- Marco Todesco (ORCID: https://orcid.org/0000-0002-6227-4096)
- D. Cavalli (ORCID: https://orcid.org/0000-0001-8465-0980)
- Claudio Bassi
- Beatrice Mascarin
- Ilaria Mirandola
Institutions
- University of Verona (IT)
- University of Trento (IT)
- University of Turin (IT)
Publication Details
- Journal
- Scientific Reports
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1038/s41598-025-18068-w
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Università degli Studi di Verona