A Systematic Review of Individualized Heart Surgery with a Personalized Prosthesis

Personalized surgery is not just a new trend but rather a patient-specific approach to therapy that makes it possible to adopt a targeted approach for a specific patient and closely mirrors the approach of personalized medicine. However, the application of tailored surgery in the context of cardiova...

Full description

Saved in:
Bibliographic Details
Published inJournal of personalized medicine Vol. 13; no. 10; p. 1483
Main Authors Sazzad, Faizus, Ramanathan, Kollengode, Moideen, Irwan Shah, Gohary, Abdulrahman El, Stevens, John Carey, Kofidis, Theo
Format Journal Article
LanguageEnglish
Published Switzerland MDPI AG 11.10.2023
MDPI
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Personalized surgery is not just a new trend but rather a patient-specific approach to therapy that makes it possible to adopt a targeted approach for a specific patient and closely mirrors the approach of personalized medicine. However, the application of tailored surgery in the context of cardiovascular replacement surgery has not been systematically reviewed. The ability to customize a device is highly dependent on the collection of radiological image data for precise prosthesis modeling. These facts are essential to "tailor-made" device design for precise prosthesis implantation. According to this study, computed tomography (CT) was the most prominent imaging modality; however, transesophageal echocardiography and echocardiography were also found to be helpful. Additionally, a dynamic finite element simulation was also found to be an attractive alternative to the finite element analysis for an in-silico experiment. Nonetheless, there is a paucity of relevant publications and only sporadic evidence. More clinical studies have been warranted, notwithstanding that the derived data and results from this insight into the use of therapeutic interventions may be evidence of multiple directives in clinical practices and beyond. This study may help the integration of personalized devices for better comprehension of predicted clinical outcomes, thus leading towards enhanced performance gains.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
content type line 23
ISSN:2075-4426
2075-4426
DOI:10.3390/jpm13101483