Multiparametric MRI identifies subtle adaptations for demarcation of disease transition in murine aortic valve stenosis.

ABSTRACT: Aortic valve stenosis (AS) is the most frequent valve disease with relevant prognostic impact. Experimental model systems for AS are scarce and comprehensive imaging techniques to simultaneously quantify function and morphology in disease progression are lacking. Therefore, we refined an acute murine AS model to closely mimic human disease characteristics and developed a high-resolution magnetic resonance imaging (MRI) approach for simultaneous in-depth analysis of valvular, myocardial as well as aortic morphology/pathophysiology to identify early changes in tissue texture and critical transition points in the adaptive process to AS. AS was induced by wire injury of the aortic valve. Four weeks after surgery, cine loops, velocity, and relaxometry maps were acquired at 9.4 T to monitor stru

SUBMITTER: Quast C 

PROVIDER: S-EPMC9148878 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature