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Soft 3D-Printed Phantom of the Human Kidney with Collecting System

Overview of attention for article published in Annals of Biomedical Engineering, November 2016
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Title
Soft 3D-Printed Phantom of the Human Kidney with Collecting System
Published in
Annals of Biomedical Engineering, November 2016
DOI 10.1007/s10439-016-1757-5
Pubmed ID
Authors

Fabian Adams, Tian Qiu, Andrew Mark, Benjamin Fritz, Lena Kramer, Daniel Schlager, Ulrich Wetterauer, Arkadiusz Miernik, Peer Fischer

Abstract

Organ models are used for planning and simulation of operations, developing new surgical instruments, and training purposes. There is a substantial demand for in vitro organ phantoms, especially in urological surgery. Animal models and existing simulator systems poorly mimic the detailed morphology and the physical properties of human organs. In this paper, we report a novel fabrication process to make a human kidney phantom with realistic anatomical structures and physical properties. The detailed anatomical structure was directly acquired from high resolution CT data sets of human cadaveric kidneys. The soft phantoms were constructed using a novel technique that combines 3D wax printing and polymer molding. Anatomical details and material properties of the phantoms were validated in detail by CT scan, ultrasound, and endoscopy. CT reconstruction, ultrasound examination, and endoscopy showed that the designed phantom mimics a real kidney's detailed anatomy and correctly corresponds to the targeted human cadaver's upper urinary tract. Soft materials with a tensile modulus of 0.8-1.5 MPa as well as biocompatible hydrogels were used to mimic human kidney tissues. We developed a method of constructing 3D organ models from medical imaging data using a 3D wax printing and molding process. This method is cost-effective means for obtaining a reproducible and robust model suitable for surgical simulation and training purposes.

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Mendeley readers

The data shown below were compiled from readership statistics for 250 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 250 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 18%
Researcher 27 11%
Student > Bachelor 26 10%
Student > Master 25 10%
Student > Doctoral Student 17 7%
Other 41 16%
Unknown 70 28%
Readers by discipline Count As %
Engineering 65 26%
Medicine and Dentistry 50 20%
Physics and Astronomy 10 4%
Biochemistry, Genetics and Molecular Biology 9 4%
Design 6 2%
Other 27 11%
Unknown 83 33%