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Biological Samples Preparation for Speciation at Cryogenic Temperature using High-Resolution X-Ray Absorption Spectroscopy
Published on: May 27, 2022
Cryoprobe isotherms: a caveat and review
Jennifer L Young1, Ralph V Clayman
1Department of Urology, University of California Irvine, Orange, California 92868, USA. jlyoung@uci.edu
Journal of Endourology
|May 4, 2010
Summary
Cryotherapy for small renal masses lacks optimal temperature control. This study shows gel models are inaccurate for in vivo planning, recommending probe placement and multi-point sensing for better outcomes.
Area of Science:
- Urology
- Oncology
- Thermal Medicine
Background:
- Cryotherapy is a thermal therapy for small renal masses, especially in high-risk patients.
- Optimal application and critical temperatures for in vivo cell death remain undefined.
- Temperature monitoring during cryotherapy procedures is not standard practice.
Purpose of the Study:
- To evaluate the accuracy of temperature monitoring during cryotherapy for renal masses.
- To assess the utility of in vitro gel models for predicting in vivo temperatures.
- To establish recommendations for improving cryotherapy accuracy in clinical practice.
Main Methods:
- Utilized in vitro gel, ex vivo porcine kidney, and in vivo porcine kidney models.
- Employed two commercially available cryotherapy units for experimentation.
- Investigated tissue temperature variability and the heat sink effect in renal tissue.
Main Results:
- Tissue temperatures during cryotherapy were found to be highly variable across models.
- In vitro gel models provided reproducible isotherms but were inaccurate for in vivo temperature prediction.
- The heat sink effect of highly vascular renal tissue significantly impacted temperature distribution.
Conclusions:
- Current cryotherapy practices for renal masses may lack optimal temperature control.
- In vitro gel models are not suitable for planning in vivo cryotherapy due to vascularity.
- Recommendations include placing cryoprobes through and beyond the tumor and using multi-point temperature sensing.

