Adaptive Electroporation Control via Real-Time Tissue Impedance

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing electroporation techniques face challenges in effectively targeting and minimizing damage to heterogeneous cancerous tissues, particularly in large or internal tumors, due to difficulties in accurately applying electric fields and measuring distances between electrodes.

Innovation Solution

A system utilizing electrochemical impedance spectroscopy (EIS) in combination with adaptive control methods to optimize electroporation pulse parameters based on real-time tissue measurements, ensuring maximum permeability of therapeutic agents into cancer cells while minimizing damage to healthy tissues.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional electroporation techniques are used with fixed electrode distances, then the process is simple to operate, but the treatment precision and adaptability to heterogeneous tumors are insufficient

Engineering Contradiction:
Improvetreatment precisionVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system implements real-time feedback control by continuously measuring tissue impedance during electroporation treatment and using these measurements to dynamically adjust pulse parameters. The controller receives impedance data from the measurement device and modifies subsequent电脉冲 characteristics based on tissue response, enabling adaptive optimization of treatment precision without requiring complex manual intervention.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system transitions from static fixed-parameter electroporation to dynamic adaptive electroporation. Pulse duration, voltage, and other parameters are dynamically adjusted in real-time based on measured tissue impedance characteristics. This allows the system to adapt to heterogeneous tumor regions and varying tissue properties during treatment, significantly improving measurement and treatment precision.

Inventive Principle:
Principle #15Dynamics

2Productivity

If high electric field strength is applied to ensure electroporation of cancer cells, then therapeutic agent delivery is improved, but damage to surrounding healthy tissue increases

Engineering Contradiction:
Improvetherapeutic agent delivery efficiencyVSAvoidtissue damage
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The system dynamically changes electroporation parameters (voltage, pulse duration, frequency) based on real-time tissue impedance measurements. By adjusting parameters according to actual tissue conditions rather than using fixed high fields, the system achieves effective therapeutic agent delivery while minimizing damage to healthy tissue. The adaptive parameter modification allows optimization of the therapeutic window.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system applies different electroporation parameters to different regions of tissue based on locally measured impedance characteristics. Heterogeneous tumor regions receive customized pulse parameters optimized for their specific electrical properties, while surrounding healthy tissue is protected by avoiding excessive field exposure. This localized adaptation improves therapeutic efficiency while reducing harmful effects.

Inventive Principle:
Principle #3Local quality

3Area of stationary object

If electrode distance is increased to treat larger tumors, then treatment coverage is improved, but measurement accuracy and field uniformity deteriorate

Engineering Contradiction:
Improvetreatment coverageVSAvoiddistance measurement accuracy
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The system replaces mechanical distance measurement and manual electrode positioning with electrical impedance-based sensing and automated control. Tissue impedance measurements provide real-time feedback on electrode-tissue interaction and effective treatment zone characteristics, eliminating the need for precise mechanical distance measurements. The controller uses this electrical feedback to automatically optimize electrode configuration and pulse parameters for the actual treatment area.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for precise and efficient delivery of therapeutic agents directly into cancer cells, reducing harm to surrounding tissues by adjusting electroporation conditions based on real-time tissue properties, thereby enhancing treatment efficacy and safety.

Implementation Method 1

electrochemical impedance spectroscopy (EIS) in combination with adaptive control methods to optimize electroporation pulse parameters based on real-time tissue measurements

Methodology Applied
Scientific EffectElectrochemical impedance spectroscopy: Electrical Impedance Tomography

Implementation Method 2

electric fields could be used to create pores in cells without causing permanent damage. This discovery made possible the insertion of large molecules into cell cytoplasm

Methodology Applied
Scientific EffectElectroporation: Electric Field

Data Source

PatentUS11318305B2Systems and methods for improved tissue-sensing based electroporation
Publication Date: 2022.05.03 GRAND DECADE DEV LTD
  • US11318305B2 patent drawing
  • US11318305B2 patent drawing
  • US11318305B2 patent drawing

AI summary

An adaptive control method for controlling EP pulse parameters during electroporation (EP) of cells or tissue using an EP system includes providing a system for adaptive control to optimize EP pulse parameters including EP pulse parameters, applying voltage and current excitation signals to the cells, obtaining data from the current and voltage measurements, and processing the data to separate the desirable data from the undesirable data, extracting relevant features from the desirable data, applying at least a portion of the relevant features to a trained diagnostic model, estimating EP pulsing parameters based on an outcome of the applied relevant features, where the initialized EP pulsing parameters are based on the trained model and the relevant features, to optimize the EP pulsing parameters, and applying, by the generator, a first EP pulse based on the first pulsing parameters.