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A new mini-navigation tool allows accurate component placement during anterior total hip arthroplasty

Overview of attention for article published in Medical Devices : Evidence and Research, March 2018
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

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6 X users

Citations

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16 Dimensions

Readers on

mendeley
37 Mendeley
Title
A new mini-navigation tool allows accurate component placement during anterior total hip arthroplasty
Published in
Medical Devices : Evidence and Research, March 2018
DOI 10.2147/mder.s151835
Pubmed ID
Authors

Javad Parvizi, Jessica R Benson, Jeffrey M Muir

Abstract

Computer-assisted navigation systems have been explored in total hip arthroplasty (THA) to improve component positioning. While these systems traditionally rely on anterior pelvic plane registration, variances in soft tissue thickness overlying anatomical landmarks can lead to registration error, and the supine coronal plane has instead been proposed. The purpose of this study was to evaluate the accuracy of a novel navigation tool, using registration of the anterior pelvic plane or supine coronal plane during simulated anterior THA. Measurements regarding the acetabular component position, and changes in leg length and offset were recorded. Benchtop phantoms and target measurement values commonly seen in surgery were used for analysis. Measurements for anteversion and inclination, and changes in leg length and offset were recorded by the navigation tool and compared with the known target value of the simulation. Pearson's r assessed the relationship between the measurements of the device and the known target values. The device accurately measured cup position and leg length measurements to within 1° and 1 mm of the known target values, respectively. Across all simulations, there was a strong, positive relationship between values obtained by the device and the known target values (r=0.99). The preliminary findings of this study suggest that the novel navigation tool tested is a potentially viable tool to improve the accuracy of component placement during THA using the anterior approach.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 16%
Student > Master 5 14%
Other 4 11%
Student > Bachelor 2 5%
Librarian 1 3%
Other 2 5%
Unknown 17 46%
Readers by discipline Count As %
Medicine and Dentistry 16 43%
Engineering 2 5%
Psychology 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Unknown 17 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 23 March 2018.
All research outputs
#6,461,169
of 25,461,852 outputs
Outputs from Medical Devices : Evidence and Research
#80
of 314 outputs
Outputs of similar age
#104,795
of 345,064 outputs
Outputs of similar age from Medical Devices : Evidence and Research
#2
of 7 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 314 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has gotten more attention than average, scoring higher than 74% 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 345,064 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 69% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.