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In-body tissue-engineered aortic valve (Biovalve type VII) architecture based on 3D printer molding

Authors :
Eisuke Tatsumi
Yasuhide Nakayama
Kentaro Ohmuma
Mamoru Arakawa
Keiichi Kanda
Tomonori Oie
Masashi Yamanami
Tsutomu Tajikawa
Yuichi Matsui
Hirohito Sumikura
Yuichiro Kishimoto
Yoshiaki Takewa
Source :
Journal of Biomedical Materials Research Part B: Applied Biomaterials. 103:1-11
Publication Year :
2014
Publisher :
Wiley, 2014.

Abstract

In-body tissue architecture--a novel and practical regeneration medicine technology--can be used to prepare a completely autologous heart valve, based on the shape of a mold. In this study, a three-dimensional (3D) printer was used to produce the molds. A 3D printer can easily reproduce the 3D-shape and size of native heart valves within several processing hours. For a tri-leaflet, valved conduit with a sinus of Valsalva (Biovalve type VII), the mold was assembled using two conduit parts and three sinus parts produced by the 3D printer. Biovalves were generated from completely autologous connective tissue, containing collagen and fibroblasts, within 2 months following the subcutaneous embedding of the molds (success rate, 27/30). In vitro evaluation, using a pulsatile circulation circuit, showed excellent valvular function with a durability of at least 10 days. Interposed between two expanded polytetrafluoroethylene grafts, the Biovalves (N = 3) were implanted in goats through an apico-aortic bypass procedure. Postoperative echocardiography showed smooth movement of the leaflets with minimal regurgitation under systemic circulation. After 1 month of implantation, smooth white leaflets were observed with minimal thrombus formation. Functional, autologous, 3D-shaped heart valves with clinical application potential were formed following in-body embedding of specially designed molds that were created within several hours by 3D printer.

Details

ISSN :
15524973
Volume :
103
Database :
OpenAIRE
Journal :
Journal of Biomedical Materials Research Part B: Applied Biomaterials
Accession number :
edsair.doi...........5083eb8caac8a388fffc49075572c569
Full Text :
https://doi.org/10.1002/jbm.b.33186