Abstract
Clinical trials have shown that hyperthermia is a potent adjuvant to conventional cancer treatments, but the temperatures currently achieved in the clinic are still suboptimal. Hyperthermia treatment planning simulations have potential to improve the heating profile of phased-array applicators. An important open challenge is the development of an effective optimization procedure that enables uniform heating of the target region while keeping temperature below a threshold in healthy tissues. In this work, we analyzed the effectiveness and efficiency of a recently proposed optimization approach, i.e. focusing via constrained power optimization (FOCO), using 3D simulations of twelve clinical patient specific models. FOCO performance was compared against a clinically used particle swarm based optimization approach. Evaluation metrics were target coverage at the 25% iso-SAR level, target hotspot quotient, median target temperature (T50) and computational requirements. Our results show that, on average, constrained power focusing performs slightly better than the clinical benchmark (ΔT50 = +0.05 °C), but outperforms this clinical benchmark for large target volumes (>40 cm 3 , Δ T50 = +0.39 °C). In addition, the results are achieved in a shorter time (-44%) and are repeatable because the approach is formulated as a convex optimization problem.
| Original language | English |
|---|---|
| Article number | 015013 |
| Number of pages | 11 |
| Journal | Physics in Medicine and Biology |
| Volume | 64 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 2019 |
Keywords
- treatment planning
- constrained optimization
- convex programming
- SAR
- Algorithms
- Humans
- Hyperthermia, Induced/methods
- Head and Neck Neoplasms/therapy