Unknown

Dataset Information

0

Pre-surgical Prediction of Ischemic Mitral Regurgitation Recurrence Using In Vivo Mitral Valve Leaflet Strains.


ABSTRACT: Ischemic mitral regurgitation (IMR) is a prevalent cardiac disease associated with substantial morbidity and mortality. Contemporary surgical treatments continue to have limited long-term success, in part due to the complex and multi-factorial nature of IMR. There is thus a need to better understand IMR etiology to guide optimal patient specific treatments. Herein, we applied our finite element-based shape-matching technique to non-invasively estimate peak systolic leaflet strains in human mitral valves (MVs) from in-vivo 3D echocardiographic images taken immediately prior to and post-annuloplasty repair. From a total of 21 MVs, we found statistically significant differences in pre-surgical MV size, shape, and deformation patterns between the with and without IMR recurrence patient groups at 6 months post-surgery. Recurrent MVs had significantly less compressive circumferential strains in the anterior commissure region compared to the recurrent MVs (p = 0.0223) and were significantly larger. A logistic regression analysis revealed that average pre-surgical circumferential leaflet strain in the Carpentier A1 region independently predicted 6-month recurrence of IMR (optimal cutoff value - 18%, p = 0.0362). Collectively, these results suggest greater disease progression in the recurrent group and underscore the highly patient-specific nature of IMR. Importantly, the ability to identify such factors pre-surgically could be used to guide optimal treatment methods to reduce post-surgical IMR recurrence.

SUBMITTER: Narang H 

PROVIDER: S-EPMC9134826 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Pre-surgical Prediction of Ischemic Mitral Regurgitation Recurrence Using In Vivo Mitral Valve Leaflet Strains.

Narang Harshita H   Rego Bruno V BV   Khalighi Amir H AH   Aly Ahmed A   Pouch Alison M AM   Gorman Robert C RC   Gorman Iii Joseph H JH   Sacks Michael S MS  

Annals of biomedical engineering 20210409 12


Ischemic mitral regurgitation (IMR) is a prevalent cardiac disease associated with substantial morbidity and mortality. Contemporary surgical treatments continue to have limited long-term success, in part due to the complex and multi-factorial nature of IMR. There is thus a need to better understand IMR etiology to guide optimal patient specific treatments. Herein, we applied our finite element-based shape-matching technique to non-invasively estimate peak systolic leaflet strains in human mitra  ...[more]

Similar Datasets

2020-05-06 | GSE139921 | GEO
| S-EPMC10053850 | biostudies-literature
| S-EPMC3111015 | biostudies-literature
| S-EPMC8469985 | biostudies-literature
| PRJNA587626 | ENA
| S-EPMC4244618 | biostudies-literature
| S-EPMC4687890 | biostudies-literature
| S-EPMC11885933 | biostudies-literature
| S-EPMC7276554 | biostudies-literature
| S-EPMC4128011 | biostudies-literature