↓ Skip to main content

Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient education

Overview of attention for article published in World Journal of Urology, July 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

blogs
1 blog
twitter
4 X users

Citations

dimensions_citation
266 Dimensions

Readers on

mendeley
298 Mendeley
citeulike
1 CiteULike
Title
Personalized 3D printed model of kidney and tumor anatomy: a useful tool for patient education
Published in
World Journal of Urology, July 2015
DOI 10.1007/s00345-015-1632-2
Pubmed ID
Authors

Jean-Christophe Bernhard, Shuji Isotani, Toru Matsugasumi, Vinay Duddalwar, Andrew J. Hung, Evren Suer, Eduard Baco, Raj Satkunasivam, Hooman Djaladat, Charles Metcalfe, Brian Hu, Kelvin Wong, Daniel Park, Mike Nguyen, Darryl Hwang, Soroush T. Bazargani, Andre Luis de Castro Abreu, Monish Aron, Osamu Ukimura, Inderbir S. Gill

Abstract

To assess the impact of 3D printed models of renal tumor on patient's understanding of their conditions. Patient understanding of their medical condition and treatment satisfaction has gained increasing attention in medicine. Novel technologies such as additive manufacturing [also termed three-dimensional (3D) printing] may play a role in patient education. A prospective pilot study was conducted, and seven patients with a primary diagnosis of kidney tumor who were being considered for partial nephrectomy were included after informed consent. All patients underwent four-phase multi-detector computerized tomography (MDCT) scanning from which renal volume data were extracted to create life-size patient-specific 3D printed models. Patient knowledge and understanding were evaluated before and after 3D model presentation. Patients' satisfaction with their specific 3D printed model was also assessed through a visual scale. After viewing their personal 3D kidney model, patients demonstrated an improvement in understanding of basic kidney physiology by 16.7 % (p = 0.018), kidney anatomy by 50 % (p = 0.026), tumor characteristics by 39.3 % (p = 0.068) and the planned surgical procedure by 44.6 % (p = 0.026). Presented herein is the initial clinical experience with 3D printing to facilitate patient's pre-surgical understanding of their kidney tumor and surgery.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 298 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Unknown 297 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 40 13%
Student > Master 38 13%
Researcher 32 11%
Student > Ph. D. Student 23 8%
Student > Doctoral Student 21 7%
Other 58 19%
Unknown 86 29%
Readers by discipline Count As %
Medicine and Dentistry 88 30%
Engineering 37 12%
Biochemistry, Genetics and Molecular Biology 9 3%
Agricultural and Biological Sciences 8 3%
Nursing and Health Professions 6 2%
Other 50 17%
Unknown 100 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 25 March 2023.
All research outputs
#3,253,515
of 23,937,746 outputs
Outputs from World Journal of Urology
#252
of 2,196 outputs
Outputs of similar age
#40,315
of 266,153 outputs
Outputs of similar age from World Journal of Urology
#4
of 38 outputs
Altmetric has tracked 23,937,746 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,196 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 87% 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 266,153 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.