Quantitative Evaluation of 3d Printed Patient-Specific Mitral Valve Models for Accurate Mechanical Simulation and Prediction of Mitraclip Procedure
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AbstractAims: Transcatheter mitral valve repair with the MitraClip device is a complex procedure that has a distinct learning curve. Meticulous training and planning warrant the durability and completeness of the repair; hence, we have proposed the use of 3D printed patient specific mitral valve models to facilitate pre-operative simulation and planning of the procedure. However, the printing accuracy of organic geometries is often dependent on the selected printing techniques and may subject to deviations caused by support conditions, warping and shrinking etc. To ensure the accuracy of our personalised approach, the anatomical accuracy of the personalised models is quantitatively evaluated in this study.

Methods & Results: Mitral valve models (n=10) were derived from pre-operative 3D transesophageal echocardiography of patients who had underwent mitral valve repair, using segmentation software (Materialise Mimics, BEL). They were 3D printed with a high resolution (32µm) PolyJet printer (Objet Connex350, Stratasys, US), using a validated rubber-like photopolymer that possessed mitral valve equivalent tensile properties (TangoPlus S35). Anatomical intelligence in ultrasound software (AIUS; MVNA.I., QLAB 10, Philips Healthcare) was used to quantitatively assess the mitral valve anatomy and the results were compared with the physical measurements of the printed models.

There were excellent agreements between AIUS and manual quantifications of multiple mitral valve anatomic parameters (r = 0.94 – 0.99, p < 0.05). The models accurately replicated the organic geometries of individual valves and defined all location of prolapses.

Conclusion: Our 3D printed patient specific mitral valve models are capable of recreating organic geometries in genuine valves, and may be used for accurate mechanical simulation and prediction of MitraClip procedure.
All Author(s) ListSteven Fan, Alex PW Lee, Yi-ting Fan, Martin Leong, Marco Chow
Name of ConferencePCR Tokyo Valve
Start Date of Conference30/03/2018
End Date of Conference01/04/2018
Place of ConferenceJP Tower, Tokyo
Country/Region of ConferenceJapan
Year2018
LanguagesEnglish-United Kingdom

Last updated on 2018-03-05 at 10:34