Literature DB >> 30997636

Flexible and comprehensive patient-specific mitral valve silicone models with chordae tendineae made from 3D-printable molds.

Sandy Engelhardt1,2, Simon Sauerzapf3, Bernhard Preim4, Matthias Karck5, Ivo Wolf3, Raffaele De Simone5.   

Abstract

PURPOSE: Given the multitude of challenges surgeons face during mitral valve repair surgery, they should have a high confidence in handling of instruments and in the application of surgical techniques before they enter the operating room. Unfortunately, opportunities for surgical training of minimally invasive repair are very limited, leading to a situation where most surgeons undergo a steep learning curve while operating the first patients.
METHODS: In order to provide a realistic tool for surgical training, a commercial simulator was augmented by flexible patient-specific mitral valve replica. In an elaborated production pipeline, finalized after many optimization cycles, models were segmented from 3D ultrasound and then 3D-printable molds were computed automatically and printed in rigid material, the lower part being water-soluble. After silicone injection, the silicone model was dissolved from the mold and anchored in the simulator.
RESULTS: To our knowledge, our models are the first to comprise the full mitral valve apparatus, i.e., the annulus, leaflets, chordae tendineae and papillary muscles. Nine different valve molds were automatically created according to the proposed workflow (seven prolapsed valves and two valves with functional mitral insufficiency). From these mold geometries, 16 replica were manufactured. A material test revealed that EcoflexTM 00-30 is the most suitable material for leaflet-mimicking tissue out of seven mixtures. Production time was around 36 h per valve. Twelve surgeons performed various surgical techniques, e.g., annuloplasty, neo-chordae implantation, triangular leaflet resection, and assessed the realism of the valves very positively.
CONCLUSION: The standardized production process guarantees a high anatomical recapitulation of the silicone valves to the segmented models and the ultrasound data. Models are of unprecedented quality and maintain a high realism during haptic interaction with instruments and suture material.

Entities:  

Keywords:  3D printing; Flexible mitral valve; Surgical training simulator

Mesh:

Substances:

Year:  2019        PMID: 30997636     DOI: 10.1007/s11548-019-01971-9

Source DB:  PubMed          Journal:  Int J Comput Assist Radiol Surg        ISSN: 1861-6410            Impact factor:   2.924


  7 in total

1.  Biomimetic phantom with anatomical accuracy for evaluating brain volumetric measurements with magnetic resonance imaging.

Authors:  Mehran Azimbagirad; Felipe Wilker Grillo; Yaser Hadadian; Antonio Adilton Oliveira Carneiro; Luiz Otavio Murta
Journal:  J Med Imaging (Bellingham)       Date:  2021-01-29

2.  Point detection through multi-instance deep heatmap regression for sutures in endoscopy.

Authors:  Lalith Sharan; Gabriele Romano; Julian Brand; Halvar Kelm; Matthias Karck; Raffaele De Simone; Sandy Engelhardt
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-11-08       Impact factor: 2.924

3.  State-of-the-art silicone molded models for simulation of arterial switch operation: Innovation with parting-and-assembly strategy.

Authors:  Brandon Peel; Whal Lee; Nabil Hussein; Shi-Joon Yoo
Journal:  JTCVS Tech       Date:  2022-01-19

4.  The development of a flexible heart model for simulation-based training.

Authors:  Jelle Man; Jos Maessen; Peyman Sardari Nia
Journal:  Interact Cardiovasc Thorac Surg       Date:  2021-01-22

Review 5.  Recent Applications of Three Dimensional Printing in Cardiovascular Medicine.

Authors:  Chiara Gardin; Letizia Ferroni; Christian Latremouille; Juan Carlos Chachques; Dinko Mitrečić; Barbara Zavan
Journal:  Cells       Date:  2020-03-17       Impact factor: 6.600

6.  Mitral valve flattening and parameter mapping for patient-specific valve diagnosis.

Authors:  Nils Lichtenberg; Pepe Eulzer; Gabriele Romano; Andreas Brčić; Matthias Karck; Kai Lawonn; Raffaele De Simone; Sandy Engelhardt
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-01-18       Impact factor: 2.924

Review 7.  3D Printing of Physical Organ Models: Recent Developments and Challenges.

Authors:  Zhongboyu Jin; Yuanrong Li; Kang Yu; Linxiang Liu; Jianzhong Fu; Xinhua Yao; Aiguo Zhang; Yong He
Journal:  Adv Sci (Weinh)       Date:  2021-07-08       Impact factor: 16.806

  7 in total

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