Unknown

Dataset Information

Multiparametric MRI enables for differentiation of different degrees of malignancy in two murine models of breast cancer.


ABSTRACT:

Objective

The objective of this study was to non-invasively differentiate the degree of malignancy in two murine breast cancer models based on identification of distinct tissue characteristics in a metastatic and non-metastatic tumor model using a multiparametric Magnetic Resonance Imaging (MRI) approach.

Methods

The highly metastatic 4T1 breast cancer model was compared to the non-metastatic 67NR model. Imaging was conducted on a 9.4 T small animal MRI. The protocol was used to characterize tumors regarding their structural composition, including heterogeneity, intratumoral edema and hemorrhage, as well as endothelial permeability using apparent diffusion coefficient (ADC), T1/T2 mapping and dynamic contrast-enhanced (DCE) imaging. Mice were assessed on either day three, si

SUBMITTER: Gerwing M 

PROVIDER: S-EPMC9667047 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature