A Novel Framework for the Optimization of Simultaneous ThermoBrachyTherapy.
Ioannis P AndroulakisRob M C MestromMiranda E M C ChristianenInger-Karine K Kolkman-DeurlooGerard C van RhoonPublished in: Cancers (2022)
In high-dose-rate brachytherapy (HDR-BT) for prostate cancer treatment, interstitial hyperthermia (IHT) is applied to sensitize the tumor to the radiation (RT) dose, aiming at a more efficient treatment. Simultaneous application of HDR-BT and IHT is anticipated to provide maximum radiosensitization of the tumor. With this rationale, the ThermoBrachyTherapy applicators have been designed and developed, enabling simultaneous irradiation and heating. In this research, we present a method to optimize the three-dimensional temperature distribution for simultaneous HDR-BT and IHT based on the resulting equivalent physical dose ( EQD phys ) of the combined treatment. First, the temperature resulting from each electrode is precomputed. Then, for a given set of electrode settings and a precomputed radiation dose, the EQD phys is calculated based on the temperature-dependent linear-quadratic model. Finally, the optimum set of electrode settings is found through an optimization algorithm. The method is applied on implant geometries and anatomical data of 10 previously irradiated patients, using reported thermoradiobiological parameters and physical doses. We found that an equal equivalent dose coverage of the target can be achieved with a physical RT dose reduction of 20% together with a significantly lower EQD phys to the organs at risk ( p -value < 0.001), even in the least favorable scenarios. As a result, simultaneous ThermoBrachyTherapy could lead to a relevant therapeutic benefit for patients with prostate cancer.
Keyphrases
- prostate cancer
- high dose
- physical activity
- mental health
- end stage renal disease
- radical prostatectomy
- clinical trial
- chronic kidney disease
- ejection fraction
- machine learning
- low dose
- radiation therapy
- climate change
- newly diagnosed
- carbon nanotubes
- healthcare
- big data
- electronic health record
- radiation induced
- artificial intelligence