# Influence of Time, Intensity, and Total Dose Parameters on the Ultrasound Effects of Percutaneous Electrolysis: An In Vitro Experimental Study

**Authors:** Miguel Malo-Urriés, Jacobo Rodríguez-Sanz, Sergio Borrella-Andrés, Isabel Albarova-Corral, Erik Garcia-Ribell, José Antonio Gaitán-Villena, Carlos López-de-Celis

PMC · DOI: 10.3390/healthcare14040516 · Healthcare · 2026-02-18

## TL;DR

This study shows that the intensity of current in percutaneous electrolysis has the biggest impact on its effectiveness, but too much intensity or time can reduce ultrasound visibility due to gas buildup.

## Contribution

The study quantifies how current intensity and total dose influence percutaneous electrolysis effects while identifying thresholds that compromise ultrasound visibility.

## Key findings

- Current intensity is the strongest predictor of the electrolytic effect (UZ_eDose), with a correlation of ρ = 0.606.
- Excessive intensity and duration lead to gas saturation, which reduces ultrasound visibility.
- Total dose also positively correlates with UZ_eDose (ρ = 0.486), but application time alone does not.

## Abstract

What are the main findings?
Current intensity is the main driver of electrochemical gasification of percutaneous electrolysis.Gas saturation occurs at specific intensity–time thresholds and compromises ultrasound visibility.

Current intensity is the main driver of electrochemical gasification of percutaneous electrolysis.

Gas saturation occurs at specific intensity–time thresholds and compromises ultrasound visibility.

What are the implications of the main findings?
Greater intensity and longer time generate a greater gas effect.High intensity/longer duration compromises visibility via gasification.

Greater intensity and longer time generate a greater gas effect.

High intensity/longer duration compromises visibility via gasification.

Objective: This study aimed to quantitatively analyze the influence of time, intensity, and total dose parameters on the electrolytic effect induced by percutaneous electrolysis on cadaveric patellar tendons and to determine the relationship between these parameters and the ultrasound-based quantitative response using the UZ_eDose tool. Methods: An in vitro experimental study was conducted on cadaveric patellar tendons. A total of 45 unique combinations of percutaneous electrolysis were applied, corresponding to 15 different application times (0 to 1200 s) and three intensities of galvanic current (0.1 mA, 1 mA, and 3 mA). The electrolytic effect was quantified immediately after each application using UZ_eDose. Additionally, ultrasound visibility was recorded as a binary variable (visible or non-visible). Descriptive graphical analysis, Spearman and point-biserial correlation tests, and multiple linear regression models were conducted to explore relationships between parameters and outcomes. Results: The intensity of current showed the strongest positive correlation with the UZ_eDose values (ρ = 0.606, p < 0.001), particularly when considering only cases with maintained ultrasound visibility. The total dose was also positively correlated with UZ_eDose (ρ = 0.486, p = 0.001), whereas time alone showed no significant correlation. Loss of ultrasound visibility was significantly associated with longer application times, higher intensities, and greater total doses (p < 0.001). Multiple linear regression models confirmed the predominant role of intensity in predicting the electrolytic effect, explaining up to 62.7% of the variance when excluding non-visible cases. Conclusions: The electrolytic effect, as quantified by UZ_eDose, is primarily influenced by the intensity of the current and the cumulative dose applied. However, excessive intensities and durations can lead to gas saturation, compromising ultrasound visibility. These findings suggest that both intensity and time should be carefully balanced to maximize the therapeutic effect while preserving imaging control, supporting the use of ultrasound-based quantification tools for optimized, individualized dosimetry.

## Full-text entities

- **Genes:** IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}
- **Diseases:** analgesia (MESH:D000699), tissue (MESH:D017695), musculoskeletal disorders (MESH:D009140), irritability (MESH:D001523), injury (MESH:D014947), inflammation (MESH:D007249), pain (MESH:D010146), patellar tendinopathy (MESH:D052256)
- **Chemicals:** H+ (MESH:D006859), H2O (MESH:D014867), OH- (MESH:C031356), eDose (-), O2 (MESH:D010100), sodium (MESH:D012964)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12940699/full.md

## References

19 references — full list in the complete paper: https://tomesphere.com/paper/PMC12940699/full.md

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Source: https://tomesphere.com/paper/PMC12940699