Publication:
Treatment planning facilitates clinical decision making for hyperthermia treatments.

dc.contributor.authorKok, H P
dc.contributor.authorvan der Zee, J
dc.contributor.authorGuirado, F Navarro
dc.contributor.authorBakker, A
dc.contributor.authorDatta, N R
dc.contributor.authorAbdel-Rahman, S
dc.contributor.authorSchmidt, M
dc.contributor.authorWust, P
dc.contributor.authorCrezee, J
dc.date.accessioned2023-02-09T10:47:40Z
dc.date.available2023-02-09T10:47:40Z
dc.date.issued2021
dc.description.abstractBackground: 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.Conclusion: Even fairly basic HTP can facilitate clinical decision making, providing a meaningful and clinically relevant contribution to maintaining and improving treatment quality.
dc.identifier.doi10.1080/02656736.2021.1903583
dc.identifier.essn1464-5157
dc.identifier.pmid33784914
dc.identifier.unpaywallURLhttps://www.tandfonline.com/doi/pdf/10.1080/02656736.2021.1903583?needAccess=true
dc.identifier.urihttp://hdl.handle.net/10668/17427
dc.issue.number1
dc.journal.titleInternational journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
dc.journal.titleabbreviationInt J Hyperthermia
dc.language.isoen
dc.organizationHospital Universitario Regional de Málaga
dc.page.number532-551
dc.pubmedtypeJournal Article
dc.pubmedtypeResearch Support, Non-U.S. Gov't
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectHyperthermia
dc.subjectclinical decision making
dc.subjectoptimization
dc.subjecttreatment planning
dc.subjecttreatment quality
dc.subjecttreatment strategy
dc.subject.meshClinical Decision-Making
dc.subject.meshComputer Simulation
dc.subject.meshHumans
dc.subject.meshHyperthermia
dc.subject.meshHyperthermia, Induced
dc.subject.meshTherapy, Computer-Assisted
dc.titleTreatment planning facilitates clinical decision making for hyperthermia treatments.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number38
dspace.entity.typePublication

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