Concept for individualized patient allocation: ReCompare--remote comparison of particle and photon treatment plans

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

Abstract

BACKGROUND: Identifying those patients who have a higher chance to be cured with fewer side effects by particle beam therapy than by state-of-the-art photon therapy is essential to guarantee a fair and sufficient access to specialized radiotherapy. The individualized identification requires initiatives by particle as well as non-particle radiotherapy centers to form networks, to establish procedures for the decision process, and to implement means for the remote exchange of relevant patient information. In this work, we want to contribute a practical concept that addresses these requirements.

METHODS: We proposed a concept for individualized patient allocation to photon or particle beam therapy at a non-particle radiotherapy institution that bases on remote treatment plan comparison. We translated this concept into the web-based software tool ReCompare (REmote COMparison of PARticlE and photon treatment plans).

RESULTS: We substantiated the feasibility of the proposed concept by demonstrating remote exchange of treatment plans between radiotherapy institutions and the direct comparison of photon and particle treatment plans in photon treatment planning systems. ReCompare worked with several tested standard treatment planning systems, ensured patient data protection, and integrated in the clinical workflow.

CONCLUSIONS: Our concept supports non-particle radiotherapy institutions with the patient-specific treatment decision on the optimal irradiation modality by providing expertise from a particle therapy center. The software tool ReCompare may help to improve and standardize this personalized treatment decision. It will be available from our website when proton therapy is operational at our facility.

Details

Original languageEnglish
Article number59
JournalRadiation Oncology
Volume9
Publication statusPublished - 18 Feb 2014
Peer-reviewedYes

External IDs

PubMed 24548333
PubMedCentral PMC3933316
Scopus 84894328726
ORCID /0000-0002-7017-3738/work/142253895

Keywords

Keywords

  • Algorithms, Decision Making, Humans, Neoplasms/radiotherapy, Patient Care Planning, Patient Selection, Photons/therapeutic use, Precision Medicine/methods, Proton Therapy/methods, Radiotherapy Planning, Computer-Assisted/methods, Software