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American College of Cardiology

Role of Contact Force Sensing in Catheter Ablation of Cardiac Arrhythmias Evolution or History Repeating Itself?

Overview of attention for article published in JACC: Clinical Electrophysiology, June 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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72 Mendeley
Title
Role of Contact Force Sensing in Catheter Ablation of Cardiac Arrhythmias Evolution or History Repeating Itself?
Published in
JACC: Clinical Electrophysiology, June 2018
DOI 10.1016/j.jacep.2018.03.014
Pubmed ID
Authors

Nilshan Ariyarathna, Saurabh Kumar, Stuart P. Thomas, William G. Stevenson, Gregory F. Michaud

Abstract

Adequate catheter-tissue contact facilitates efficient heat energy transfer to target tissue. Tissue contact is thus critical to achieving lesion transmurality and success of radiofrequency (RF) ablation procedures, a fact recognized more than 2 decades ago. The availability of real-time contact force (CF)-sensing catheters has reinvigorated the field of ablation biophysics and optimized lesion formation. The ability to measure and display CF came with the promise of dramatic improvement in safety and efficacy; however, CF quality was noted to have just as important an influence on lesion formation as absolute CF quantity. Multiple other factors have emerged as key elements influencing effective lesion formation, including catheter stability, lesion contiguity and continuity, lesion density, contact homogeneity across a line of ablation, spatiotemporal dynamics of contact governed by cardiac and respiratory motion, contact directionality, and anatomic wall thickness, in addition to traditional ablation indices of power and RF duration. There is greater appreciation of surrogate markers as a guide to lesion formation, such as impedance fall, loss of pace capture, and change in unipolar electrogram morphology. In contrast, other surrogates such as tactile feedback, catheter motion, and electrogram amplitude are notably poor predictors of actual contact and lesion formation. This review aims to contextualize the role of CF sensing in lesion formation with respect of the fundamental principles of biophysics of RF ablation and summarize the state-of-the-art evidence behind the role of CF in optimizing lesion formation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Other 10 14%
Researcher 9 13%
Student > Ph. D. Student 6 8%
Student > Master 6 8%
Student > Doctoral Student 5 7%
Other 14 19%
Unknown 22 31%
Readers by discipline Count As %
Medicine and Dentistry 19 26%
Engineering 7 10%
Physics and Astronomy 3 4%
Mathematics 2 3%
Business, Management and Accounting 1 1%
Other 7 10%
Unknown 33 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 29 November 2022.
All research outputs
#1,072,356
of 25,385,509 outputs
Outputs from JACC: Clinical Electrophysiology
#183
of 1,554 outputs
Outputs of similar age
#23,242
of 342,877 outputs
Outputs of similar age from JACC: Clinical Electrophysiology
#4
of 44 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,554 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.9. This one has done well, scoring higher than 88% 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 342,877 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 44 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 90% of its contemporaries.