Brain Soft Tissue Model Composition for Realistic Surgical Training
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Solution Overview
Problem
The high costs and limitations of using animal models and cadaver preparations for surgical training, particularly in branches with slow learning curves like neurosurgery and maxillofacial surgery, necessitate the development of accessible and sustainable artificial anatomical models that simulate human tissue with high fidelity, including pathological conditions, to ensure effective practice and patient safety.
Innovation Solution
A composition comprising gelatin, glycerin, and sorbitol, optionally with additives, is used to create a model that simulates brain soft tissue, replicating its visual and tactile properties, and can include distinct portions for healthy and neoplastic tissue, allowing ultrasound imaging and realistic surgical training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If animal models or cadaver preparations are used for surgical training, then the training fidelity and realism are improved, but the cost and sustainability are worsened
Solution Approach 1:
The patent creates artificial anatomical models that copy the essential physical and visual properties of real brain tissue using a composition of gelatin, glycerin, and sorbitol. This allows surgeons to practice on realistic replicas without needing actual cadavers or animal models, thereby reducing cost while maintaining training fidelity.
Solution Approach 2:
The patent uses a composite material composition consisting of gelatin as the base polymer, glycerin as a plasticizer, and sorbitol as a humectant. This composite formulation replicates the viscoelastic properties, moisture content, and tactile characteristics of real brain tissue, providing a cost-effective alternative to expensive biological models.
2Manufacturing precision
If cadaver preparations are used for surgical training, then the anatomical accuracy is improved, but the availability and repeatability are worsened
Solution Approach 1:
The artificial models copy the anatomical structures and tissue properties of the brain, allowing unlimited reproduction of specific pathological conditions. Unlike cadavers which are limited in availability and cannot be reused, these models can be manufactured repeatedly with consistent anatomical accuracy.
Solution Approach 2:
The patent allows modification of the composition parameters (gelatin concentration, glycerin-to-sorbitol ratio) to replicate different tissue types and pathological conditions. This enables the production of multiple model variants with specific anatomical and pathological features, increasing availability for different training scenarios.
3Quantity of substance
If artificial models are used to reduce cost, then the sustainability is improved, but the tissue-like rendering is worsened
Solution Approach 1:
The patent employs a carefully formulated composite material system where gelatin provides the structural matrix, glycerin acts as a plasticizer to maintain flexibility and prevent brittleness, and sorbitol serves as a humectant to retain moisture. This composite approach achieves realistic tissue-like rendering at a fraction of the cost of biological models.
Solution Approach 2:
The patent optimizes the concentration ratios and physical-chemical parameters of the composition components to match the viscoelastic properties, moisture content, and thermal characteristics of real brain tissue. By adjusting these parameters, the model achieves convincing tissue-like rendering that provides authentic tactile feedback during surgical practice.
4Ease of manufacture
If simple materials are used to reduce complexity, then the ease of manufacture is improved, but the ultrasound imaging compatibility is worsened
Solution Approach 1:
The patent uses a composite material system that maintains ultrasound wave propagation properties similar to real tissue. The gelatin-glycerin-sorbitol composition allows ultrasound waves to pass through and reflect off internal structures, enabling compatibility with standard ultrasound imaging equipment while keeping the manufacturing process relatively simple.
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
The model provides a realistic simulation of brain soft tissue, enabling accurate tactile and visual replication, as well as ultrasound compatibility, facilitating effective surgical training and reducing the need for costly and limited cadaver-based methods.
Implementation Method 1
a composition comprising gelatin and, predominantly by weight, a mixture of glycerin and sorbitol
Implementation Method 2
The model comprises a gelatin-glycerin-sorbitol composition
Implementation Method 3
capable of ensuring that normal ultrasound imaging equipment may be used for the correct detection of neoplasia as compared to healthy tissue by such a technique
Data Source
AI summary
A composition for making a simulation model of a brain soft tissue has gelatin and, predominantly by weight, a mixture of glycerin and sorbitol. A method for preparing the composition provides for mixing gelatin in water, heating the mixture of gelatin and water, mixing glycerin with sorbitol, heating the mixture of glycerin and sorbitol, and mixing the mixture of gelatin and water with the mixture of glycerin and sorbitol. A model for simulating brain soft tissue having the composition for making the simulation model is provided.