Validation of thermal dynamics during Hyperthermic IntraPEritoneal Chemotherapy simulations using a 3D-printed
Daan R Löke1, H Petra Kok1, Roxan F C P A Helderman1,2
1Department of Radiation Oncology, Cancer Center Amsterdam, Amsterdam University Medical Centers (UMC), University of Amsterdam, Amsterdam, Netherlands.
Frontiers in Oncology
|March 3, 2023
Summary
Our developed software accurately maps thermal variations during Hyperthermic IntraPeritoneal Chemotherapy (HIPEC) treatments. This helps optimize patient care by ensuring even heat distribution, reducing the risk of recurrent peritoneal metastasis.
Area of Science:
- Oncology
- Medical Physics
- Surgical Oncology
Background:
- CytoReductive Surgery (CRS) with Hyperthermic IntraPeritoneal Chemotherapy (HIPEC) is a standard treatment for peritoneal metastasis (PM).
- Thermal heterogeneities during HIPEC can lead to uneven treatment and increased risk of disease recurrence.
- Accurate thermal mapping is crucial for optimizing HIPEC efficacy.
Purpose of the Study:
- To validate the thermal module of an OpenFoam-based treatment planning software.
- To assess the software's accuracy in predicting thermal distributions during HIPEC.
- To evaluate the clinical relevance of the software's accuracy for optimizing treatment.
Main Methods:
- Utilized an anatomically correct 3D-printed peritoneal phantom in an experimental HIPEC setup.
- Varied catheter positions, flow rate, and inflow temperatures across 7 different experimental cases.
- Measured thermal distribution at 63 points across 9 regions over 30 minutes with 5-second intervals.
Main Results:
- Experimental thermal distributions closely matched simulated temperature ranges.
- The software demonstrated high accuracy, with absolute errors below 0.5°C near steady-state.
- The overall experimental duration showed an absolute error of approximately 0.5°C.
Conclusions:
- The developed treatment planning software accurately predicts thermal distributions during HIPEC.
- An accuracy below 0.5°C is clinically adequate for estimating local temperature variations.
- The software can aid in optimizing HIPEC treatments for peritoneal metastasis.
Keywords:
cancer biologycomputational fluid dynamics (CFD)computational modelinghyperthermic intrapertioneal chemotherapy (HIPEC)translational researchtreatment planning softwarevalidation

