Webinar
A Novel Approach to Statistical Shape Modeling in TMVR Screening
About this webinar
Statistical shape modeling (SSM) has long helped medical device teams accelerate R&D by capturing anatomical variation across patient populations. Now, its value is expanding into offering clinical insights, where historical anatomical data can help predict how a structural heart device may fit an individual patient.
In this webinar, Abbott Laboratories and Materialise will share how SSM was used to create four models of mitral disease subtypes and support fit assessment for Abbott’s Cephea™ TMVR system. It will demonstrate a new approach to better-informed patient screening for mitral device fit.
What you will learn
- How statistical shape modeling has supported cardiovascular device R&D for decades — and why it remains valuable today
- How four mitral disease subtype models were created using Materialise ADAM services
- How Abbott Laboratories is advancing innovation in cardiovascular devices with the Cephea™ TMVR system
- What challenges Abbott faced in the early screening of mitral disease patients for device fit
- How SSM can support clinical planning by helping predict device fit, from data input and methodology to results and interpretation
Meet the speakers
Mike Evans
Claire Lodico
Karen De Leener
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