Modelling of Lesions Associated with Functional Mitral Regurgitation in an Ex Vivo Platform.
Michal JaworekFederico LucheriniClaudia RomagnoniGuido GelpiMonica ContinoPaolo RomitelliCarlo AntonaGianfranco B FioreRiccardo VismaraPublished in: Annals of biomedical engineering (2017)
Functional mitral regurgitation (FMR) is a complex pathology involving valvular and subvalvular structures reconfiguration, and its treatment is considered challenging. There is a lack of experimental models allowing for reliable preclinical FMR treatments' evaluation in a realistic setting. A novel approach to simulate FMR was developed and incorporated into an ex vivo passive beating heart platform. FMR was obtained by dilating the mitral annulus (MA) mainly in the antero-posterior direction and displacing the papillary muscles (PMs) apically and laterally by ad hoc designed and 3D printed dilation and displacing devices. It caused hemodynamic and valve morphology alterations. Isolated MA dilation (MAD) led to significantly increased antero-posterior distance (A-P) and decreased coaptation height (CH), tenting area (TA) and systolic leaflets angulation, resembling clinically recognized type I of mitral regurgitation with normal leaflet motion. Whereas concomitant MAD with PM displacement caused an increase in A-P, TA, CH. This geometrical configuration replicated typical determinants of type IIIb lesion with restricted leaflet motion. The proposed methods provided a realistic and repeatable ex vivo FMR model featuring two lesions clinically associated with the pathology. It bears a promise to be successfully utilized in preclinical studies, clinical training and medical education.
Keyphrases
- aortic valve
- mitral valve
- medical education
- aortic stenosis
- left ventricular
- transcatheter aortic valve replacement
- heart failure
- high throughput
- blood pressure
- left atrial
- body mass index
- atrial fibrillation
- room temperature
- cell therapy
- high resolution
- air pollution
- mass spectrometry
- machine learning
- case control
- big data
- heavy metals
- combination therapy
- artificial intelligence
- bone marrow
- coronary artery disease
- smoking cessation