Patient-specific temperature distribution prediction in laser interstitial thermal therapy: single-irradiation data-driven method

Phys Med Biol. 2024 Apr 22. doi: 10.1088/1361-6560/ad4194. Online ahead of print.ABSTRACTLaser interstitial thermal therapy (LITT) has been popular for treating brain tumours and epilepsy. The strict control of tissue thermal damage extent is crucial for LITT. Temperature prediction is useful for predicting thermal damage extent. Accurately predicting in vivo brain tissue temperature is challenging due to the temperature dependence and the individual variations in tissue properties. Considering these factors is essential for improving the temperature prediction accuracy.OBJECTIVE: To present a method for predicting patient-specific tissue temperature distribution within a target lesion area in the brain during LITT.APPROACH: A magnetic resonance temperature imaging (MRTI) data-driven estimation model was constructed and combined with a modified Pennes bioheat transfer equation (PBHE) to predict patient-specific temperature distribution. In the PBHE for temperature prediction, the individual specificity and temperature dependence of thermal tissue properties and blood perfusion, as well as the individual specificity of optical tissue properties were considered. Only MRTI data during one laser irradiation were required in the method. This enables the prediction of patient-specific temperature distribution and the resulting thermal damage region for subsequent ablations.MAIN RESULTS: Patient-specific temperature prediction was evaluated based on patients' data acquired during LI...
Source: Physics in Medicine and Biology - Category: Physics Authors: Source Type: research