Radiofrequency induced lesion characteristics according to force-time integral in experimental model.

Medicine (Baltimore)

Division of Cardiology, Department of Internal Medicine, Dongguk University Ilsan Hospital, 10326, 27 Dongguk-ro Ilsandong-gu, Goyang-si, Gyeonggi-do, Korea.

Published: March 2021

AI Article Synopsis

  • Contact force (CF)-sensing technology allows for real-time measurement of force in tissue, with average CF being related to lesion volume through the force-time integral (FTI).
  • Research aimed to determine which factors in FTI or the force-power-time index (FPTI) better predict lesion size during radiofrequency ablation in swine skeletal muscle under various power, time, and force settings.
  • Findings indicate that the time factor is more significant for lesion formation than the force factor, and FPTI outperforms FTI in predicting lesions, with a higher area under the curve and better explanatory power in regression analysis.

Article Abstract

Contact force (CF)-sensing technology has enabled accurate real-time CF measurement in tissue. Average CF, which is quantified by the force–time integral (FTI), correlates with lesion volume. Little is known about which of the time and force factors that compose FTI plays a more important role and which is a better index for predicting lesion size, FTI, or force–power–time index (FPTI). Investigators sought to identify a better index for predicting radiofrequency ablation lesion formation with experimental model. Radiofrequency current was delivered to the swine skeletal muscle at radiofrequency energy current was delivered at 4 fixed power settings (15, 25, 30, and 40 W) for 6 variable time durations (5, 10, 20, 30, 40, and 50 s) with 6 variable CF settings (5, 10, 20, 30, 40, and 50 g). At each setting, the following parameters were evaluated: (1).. transmural lesion depth, (2).. lesion width, and (3).. lesion volume. Between FTI factors, the time factor was more important than the force factor for lesion formation. The area under the curve was greater for FPTI (0.943) than for FTI (0.870). On univariate linear regression analysis, the explanatory power of the linear regression model was better explained by FPTI (56.4%) than FTI (32.1%). Under the same FTI condition, the time factor had a greater effect on lesion formation. When power was included, the power factor had a greater effect on lesion formation and steam pop.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7969321PMC
http://dx.doi.org/10.1097/MD.0000000000025126DOI Listing

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