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A Multi-hole Cryovial Eliminates Freezing Artifacts when Muscle Tissues are Directly Immersed in Liquid Nitrogen
Published on: April 6, 2017
Numerical simulation of tissue freezing by liquid nitrogen based cryoprobe.
Aili Zhang1, Xiaodong Luo, Chao Chen
1College of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dong Chuan Rd., Shanghai 200240, PR China.
Cryo Letters
|September 23, 2006
Summary
This study models tumor cryosurgery cooling, finding heat transfer coefficient is key for accurate temperature prediction. Overestimating cooling occurs when cryoprobe wall temperature is assumed constant.
Area of Science:
- Biomedical Engineering
- Thermodynamics
- Medical Physics
Background:
- Cryosurgery is a minimally invasive treatment for tumors.
- Accurate thermal modeling is crucial for effective cryosurgery.
- Understanding heat transfer dynamics within the cryoprobe is essential.
Purpose of the Study:
- To develop a numerical model simulating cooling processes during tumor cryosurgery.
- To investigate the influence of different cryoprobe inflow conditions on heat transfer.
- To assess the impact of flow parameters on tumor temperature profiles.
Main Methods:
- Numerical simulation of heat flux and heat transfer coefficient.
- Analysis of various inflow conditions: two-phase annular flow, droplet flow, and gas flow.
- Investigation of inlet mass flow rate and gas volume fraction effects.
Main Results:
- Heat transfer coefficient significantly decreases with changes in flow from two-phase to gas flow.
- Inlet gas volume fraction and flow velocity impact freezing ability primarily in gas or droplet phase flows.
- Constant cryoprobe wall temperature assumption can overestimate cooling effects.
Conclusions:
- The heat transfer coefficient is a critical parameter for accurate cryosurgery temperature prediction.
- Using a constant wall heat transfer coefficient is more realistic than assuming constant wall temperature.
- Optimized inflow conditions can enhance the efficacy of tumor cryosurgery.
