↓ Skip to main content

Augmented reality for interventional oncology: proof-of-concept study of a novel high-end guidance system platform

Overview of attention for article published in European Radiology Experimental, July 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 110)
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

1 news outlet
1 blog
2 tweeters


21 Dimensions

Readers on

46 Mendeley
Augmented reality for interventional oncology: proof-of-concept study of a novel high-end guidance system platform
Published in
European Radiology Experimental, July 2018
DOI 10.1186/s41747-018-0054-5
Pubmed ID

Marco Solbiati, Katia M. Passera, Alessandro Rotilio, Francesco Oliva, Ilaria Marre, S. Nahum Goldberg, Tiziana Ierace, Luigi Solbiati


To assess the feasibility of a novel system that uses augmented reality to guide interventional oncology procedures. This study was conducted in accordance to the guidelines of the local institutional review boards. Evaluation of an augmented reality system based upon a tablet, a needle handle and a set of markers was performed in three experimental models. Initially, a male anthropomorphic trunk phantom equipped with five polyvinyl chloride bars (two of 16 cm in length and 3 cm in diameter and four of 45, 30 or 20 cm in length and 2 cm in diameter) was used to study the accuracy of the system without respiratory motion or tissue compression. Next, small metallic targets were placed in a porcine model to evaluate how respiration affects the system accuracy. Finally, the performance of the system on a more complete model, a cadaver with liver metastasis, was tested. In all experimental settings, extremely high targeting accuracy of < 5 mm in all cases was achieved: 2.0 ± 1.5 mm (mean ± standard deviation) for the anthropomorphic model, 3.9 ± 0.4 mm for the porcine model, and 2.5 mm and 2.8 mm for the two metastases in the cadaver model. Augmented reality can assist with needle guidance with great target accuracy for interventional procedures by simultaneously visualising three-dimensional reconstructed anatomical structures, tumour targets and interventional devices on a patient's body, enabling performance of procedures in a simple and confident way.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 13%
Other 6 13%
Researcher 5 11%
Student > Master 4 9%
Student > Doctoral Student 3 7%
Other 7 15%
Unknown 15 33%
Readers by discipline Count As %
Medicine and Dentistry 15 33%
Computer Science 5 11%
Engineering 5 11%
Energy 1 2%
Chemistry 1 2%
Other 1 2%
Unknown 18 39%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 21 May 2019.
All research outputs
of 15,077,480 outputs
Outputs from European Radiology Experimental
of 110 outputs
Outputs of similar age
of 274,732 outputs
Outputs of similar age from European Radiology Experimental
of 1 outputs
Altmetric has tracked 15,077,480 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 110 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has done particularly well, scoring higher than 93% 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 274,732 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them