Brain Tissue Phantom Composition for Neoplasm Imaging Training
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Solution Overview
Problem
The high cost and limitations of using animal models and cadaver preparations for surgical training, particularly in branches with slow learning curves like neurosurgery, spinal surgery, and maxillofacial surgery, necessitate the development of accessible and sustainable artificial anatomical models that simulate human tissue with high fidelity to ensure effective practice and patient safety.
Innovation Solution
A composition comprising gelatin, glycerin, and sorbitol is used to create a brain soft tissue model that mimics the visual and tactile properties of real brain tissue, with distinct portions for healthy and neoplastic tissue, allowing for ultrasound imaging and surgical training.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If animal models or cadaver preparations are used for surgical training, then the training can be conducted with high fidelity to human tissue, but the costs become excessively high and the availability is limited
Solution Approach 1:
The patent creates artificial anatomical models that copy the essential features of human brain tissue using gelatin-based materials. These models replicate the visual appearance, tactile properties, and acoustic characteristics of real brain tissue, allowing unlimited replication without the ethical and cost constraints of using actual human or animal specimens.
Solution Approach 2:
The patent modifies the physical and chemical parameters of the modeling material to match human tissue properties. By adjusting gelatin concentration, adding glycerin and sorbitol to control viscosity and texture, and incorporating ultrasound contrast agents, the model achieves parameters (acoustic impedance, attenuation coefficients) that match human brain tissue within acceptable ranges for training purposes.
2Reliability
If animal models or cadaver preparations are used for surgical training, then the training can be conducted with high fidelity to human tissue, but the costs become excessively high
Solution Approach 1:
The patent employs inexpensive gelatin-based materials that can be easily manufactured and disposed of. The models are designed to be single-use or easily replaceable, eliminating the need for expensive maintenance, preservation, or ethical clearance requirements associated with animal models and cadaver preparations. The low cost of materials allows for unlimited training repetitions.
3Productivity
If cadaver preparations are used for surgical training, then the training can be conducted, but it is no longer sustainable for continuous use
Solution Approach 1:
The artificial models are designed to be self-contained and ready for immediate use without requiring external resources for preservation, ethical approval, or special handling. The models can be sterilized, stored, and reused multiple times without degradation, providing sustainable training capacity that does not depend on limited human or animal resource availability.
4Loss of time
If surgical training is performed without repeated practice, then the learning process can be efficient, but the psychomotor skills required for precision surgery cannot be adequately developed
Solution Approach 1:
The patent creates multi-functional training models that can be used for various surgical techniques and pathologies. The same gelatin-based model system can simulate different brain tumor types, surgical approaches, and complications, allowing trainees to practice multiple procedures without needing separate specialized models for each technique.
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 realistic tactile and visual simulation of brain tissue, enabling effective surgical training and ultrasound imaging, reducing the need for costly and limited cadaver-based training methods.
Implementation Method 1
A composition comprising gelatin, glycerin, and sorbitol is used to create a brain soft tissue model that mimics the visual and tactile properties of real brain tissue
Implementation Method 2
capable of ensuring that normal ultrasound imaging equipment may be used for the correct detection of neoplasm as compared to healthy tissue by such a technique
Data Source
AI summary
A model for simulating a brain soft tissue affected by neoplasm has a first portion for simulating a healthy tissue and a second portion for simulating a neoplastic tissue. The first portion and the second portion have a composition including water, gelatin, glycerin and sorbitol. The content by weight of glycerin and sorbitol is predominant over the content by weight of gelatin. The first portion has a liquid dye and the second portion has at least one powdered pigment.