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Comparison of 3D Echocardiogram-Derived 3D Printed Valve Models to Molded Models for Simulated Repair of Pediatric Atrioventricular Valves

Overview of attention for article published in Pediatric Cardiology, November 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Citations

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Title
Comparison of 3D Echocardiogram-Derived 3D Printed Valve Models to Molded Models for Simulated Repair of Pediatric Atrioventricular Valves
Published in
Pediatric Cardiology, November 2017
DOI 10.1007/s00246-017-1785-4
Pubmed ID
Authors

Adam B. Scanlan, Alex V. Nguyen, Anna Ilina, Andras Lasso, Linnea Cripe, Anusha Jegatheeswaran, Elizabeth Silvestro, Francis X. McGowan, Christopher E. Mascio, Stephanie Fuller, Thomas L. Spray, Meryl S. Cohen, Gabor Fichtinger, Matthew A. Jolley

Abstract

Mastering the technical skills required to perform pediatric cardiac valve surgery is challenging in part due to limited opportunity for practice. Transformation of 3D echocardiographic (echo) images of congenitally abnormal heart valves to realistic physical models could allow patient-specific simulation of surgical valve repair. We compared materials, processes, and costs for 3D printing and molding of patient-specific models for visualization and surgical simulation of congenitally abnormal heart valves. Pediatric atrioventricular valves (mitral, tricuspid, and common atrioventricular valve) were modeled from transthoracic 3D echo images using semi-automated methods implemented as custom modules in 3D Slicer. Valve models were then both 3D printed in soft materials and molded in silicone using 3D printed "negative" molds. Using pre-defined assessment criteria, valve models were evaluated by congenital cardiac surgeons to determine suitability for simulation. Surgeon assessment indicated that the molded valves had superior material properties for the purposes of simulation compared to directly printed valves (p < 0.01). Patient-specific, 3D echo-derived molded valves are a step toward realistic simulation of complex valve repairs but require more time and labor to create than directly printed models. Patient-specific simulation of valve repair in children using such models may be useful for surgical training and simulation of complex congenital cases.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 18%
Student > Bachelor 13 15%
Student > Ph. D. Student 6 7%
Student > Postgraduate 6 7%
Student > Master 6 7%
Other 15 18%
Unknown 24 28%
Readers by discipline Count As %
Medicine and Dentistry 24 28%
Engineering 19 22%
Computer Science 3 4%
Biochemistry, Genetics and Molecular Biology 2 2%
Chemical Engineering 2 2%
Other 6 7%
Unknown 29 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 March 2018.
All research outputs
#13,059,047
of 23,009,818 outputs
Outputs from Pediatric Cardiology
#483
of 1,413 outputs
Outputs of similar age
#203,042
of 438,449 outputs
Outputs of similar age from Pediatric Cardiology
#7
of 37 outputs
Altmetric has tracked 23,009,818 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,413 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 65% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.