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Updated: May 1, 2026

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
Published on: February 6, 2019
Optimización de la monitorización de la toxicidad aguda en el flujo de trabajo de la radioterapia guiada por RM
Pia Krause Møller1,2,3, Helle Pappot4,5, Tine Schytte1,2
1Department of Oncology, Odense University Hospital, J.B. Winsløws Vej 4, Odense C 5000, Denmark.
Introduction:
Frequent electronic patient-reported outcomes (ePROs) may become an important tool for monitoring outcomes in ultrahypofractionated MRgRT for prostate cancer, enabling real-time remote tracking of toxicity. By integrating weekly ePROs and health-related quality of life (HRQoL) assessments into the early prostate MRgRT workflow, this study aimed to explore real-time acute symptom trajectories and the impact on HRQoL.
Methods:
Two cohorts were followed: Patients receiving MRgRT for localised PCa (60Gy/20fx) or low-volume metastatic (M1) PCa (36Gy/6fx) and eligible to complete weekly ePROs and HRQoL measures (EQ-5D-5L, EORTC QLQ-C30) during and up to 24 weeks of follow-up. Linear mixed models were used to evaluate symptom changes over time.
Results:
Of 76 included PCa patients, 42 had localised PCa and 34 low-volume M1 PCa. The linear model revealed significant changes in urinary symptoms from treatment week one, persisting 2 weeks post-MRgRT in the 36 Gy cohort, and 3-4 weeks in the 60 Gy cohort. Bowel symptoms increased early post-treatment in both cohorts, with diarrhoea being most frequent. Clinically relevant changes in HRQoL were observed during follow-up: patients in the 60 Gy cohort showed HRQoL improvements after 12 and 24 weeks. In the 36 Gy cohort, patients reported improved self-rated Global health status/QoL and emotional functioning.
Conclusion:
Frequent ePROs during and after MRgRT provide critical insights into the timing, fluctuation and severity of acute toxicity, potentially missed with standard follow-up schedules. Integrating real-time ePROs into the MRgRT workflow is a feasible patient-centered method to systematically optimize the outcome assessments of MRgRT.
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