Fluorescence Tissue Characterization for Real-Time Surgical Adjustment
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Solution Overview
Problem
Surgical devices used for tissue removal often operate with suboptimal settings, leading to inefficiencies and potential complications such as over-removal or perforation due to misidentification of tissue type changes during procedures.
Innovation Solution
A surgical device utilizing fluorescence response signals from a target site to determine its characteristics, enabling real-time adjustment of device parameters based on detected fluorescence spectra, thereby improving tissue identification and removal accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If device parameters are modified during surgical procedure, then tissue removal efficiency can be improved, but tissue identification accuracy deteriorates due to practitioner knowledge limitations
Solution Approach 1:
The system continuously monitors fluorescence spectra from the target site and provides real-time feedback to automatically adjust device parameters. This closed-loop feedback mechanism ensures that tissue identification remains accurate while optimizing removal efficiency, eliminating the reliance on practitioner knowledge for parameter adjustment.
Solution Approach 2:
The surgical device performs self-adjustment of its operating parameters based on real-time fluorescence analysis of the tissue. The system automatically adapts to tissue type changes without requiring external intervention or specialized practitioner knowledge, maintaining both accuracy and efficiency.
2Loss of time
If tissue removal speed is increased, then surgical procedure time is reduced, but tissue over-removal occurs due to misidentification
Solution Approach 1:
The system performs preliminary fluorescence analysis to identify tissue type before initiating or continuing removal operations. This advance identification ensures that high-speed removal is only applied to appropriate tissue types, preventing over-removal while maintaining procedural efficiency.
Solution Approach 2:
The system replaces manual tissue identification and parameter adjustment with automated fluorescence spectroscopy and computer-controlled parameter modification. This substitution eliminates human error in tissue identification while maintaining precise control over removal speed and accuracy.
3Ease of operation
If device parameters are not properly set, then device operation simplicity is improved, but harmful effects increase such as capsular perforation
Solution Approach 1:
The surgical device automatically determines optimal parameters for safe operation by analyzing fluorescence spectra of the target tissue. This self-adjusting capability eliminates the need for practitioner knowledge of complex parameter settings while preventing harmful effects through real-time adaptation to actual tissue conditions.
Solution Approach 2:
The system continuously monitors tissue fluorescence characteristics and adjusts device parameters in real-time to maintain safe operating conditions. This feedback mechanism prevents harmful effects like capsular perforation by automatically adapting to tissue boundaries and properties without requiring practitioner intervention.
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
Enhances tissue removal accuracy by allowing real-time adjustment of device parameters, reducing the risk of over-removal or perforation, and ensuring efficient and precise surgical procedures.
Implementation Method 1
A fluorescence response signal can be obtained from the energized surface of the target site, such as when the light source is deactivated into an 'off' state
Implementation Method 2
A photodetector can be used to detect a fluorescence response signal to the illumination when the light source is the 'off' state
Data Source
AI summary
A method for determining a characteristic of material at a target is provided. A target is illuminated with a pulsed light source. A fluorescence signal from the target when the pulsed light source is an “off” state is then sensed. Based on analysis of the fluorescence signal, a characteristic of material at the target is identified. A device can then be controlled based on the identified characteristic of the material at the target.