| Literature DB >> 33784914 |
H P Kok1, J van der Zee2, F Navarro Guirado3, A Bakker1, N R Datta4, S Abdel-Rahman5, M Schmidt6, P Wust7, J Crezee1.
Abstract
Background: Treatment quality is important in clinical hyperthermia. Guideline-based treatment protocols are used to determine system settings and treatment strategies to ensure effective tumor heating and prevent unwanted treatment-limiting normal tissue hot spots. Realizing both these goals can prove challenging using generic guideline-based and operator-dependent treatment strategies. Hyperthermia treatment planning (HTP) can be very useful to support treatment strategies. Although HTP is increasingly integrated into the standard clinical workflow, active clinical application is still limited to a small number of hyperthermia centers and should be further stimulated.Purpose: This paper aims to serve as a practical guide, demonstrating how HTP can be applied in clinical decision making for both superficial and locoregional hyperthermia treatments.HTP in clinical decision making: Seven problems that occur in daily clinical practice are described and we show how HTP can enhance insight to formulate an adequate treatment strategy. Examples use representative commercially available hyperthermia devices and cover all stages during the clinical workflow. Problems include selecting adequate phase settings, heating ability analysis, hot spot suppression, applicator selection, evaluation of target coverage and heating depth, and predicting possible thermal toxicity in case of an implant. Since we aim to promote a general use of HTP in daily practice, basic simulation strategies are used in these problems, avoiding a need for the application of dedicated advanced optimization routines that are not generally available.Entities:
Keywords: Hyperthermia; clinical decision making; optimization; treatment planning; treatment quality; treatment strategy
Mesh:
Year: 2021 PMID: 33784914 DOI: 10.1080/02656736.2021.1903583
Source DB: PubMed Journal: Int J Hyperthermia ISSN: 0265-6736 Impact factor: 3.914