ABSTRACT
INTRODUCTION: The potential of patient symptoms being monitored longitudinally in radiotherapy (RT) is still unexploited. When novel technologies like online adaptive MR-guided radiotherapy (MRgRT) are evaluated, weekly electronic patient-reported outcomes (ePROs) may add knowledge about the symptom trajectory. This study aimed at evaluating feasibility, usability and acceptance of weekly ePRO among patients receiving pelvic radiotherapy. MATERIALS AND METHODS: In a mixed-methods convergent design, a prospective pilot study enrolled patients referred to pelvic radiotherapy with curative intent. Patients used their own device at home to self-report PRO weekly during and four weeks following radiotherapy and week 8, 12, and 24 (paper-questionnaire as an alternative). Feasibility was extracted from the ePRO software. The Patient Feedback Form and patient interviews were used to explore usability and patient acceptance. Patients were informed that clinicians had no access to PRO responses. RESULTS: In total, 40 patients were included; 32 patients with prostate cancer and 8 with cervical cancer (consent rate 87%), median age 68 (36-76). The majority did digital reporting (93%). 85% of patients responded to ≥80% of the weekly questionnaires with 91% average adherence to weekly completion (60% for follow-up), although lower for patients ≥age 70. Time spent on ePRO (97%) and frequency of reporting (92%) was considered appropriate. Interviews (n = 14) revealed the application was usable and the patients requested real-time feedback from the clinicians. CONCLUSION: Recruitment for ePRO during radiotherapy was feasible and adherence to weekly self-reporting high. The digital application was usable and weekly frequency and time spent acceptable. Real-time feedback from the clinicians is requested by the patients.
ABSTRACT
BACKGROUND: A new technology in cancer treatment, the MR-linac, provides online magnetic resonance-guided radiotherapy (MRgRT) that combines real-time visualization of the tumor and surrounding tissue with radiation therapy to deliver treatment more accurately. Online MRgRT makes it possible to minimize treatment volume, potentially reducing acute treatment toxicity. Patient-reported outcomes (PRO) add the patient perspective to evaluating treatment toxicity related to new technology. The objective of this mixed-methods study was to develop and explore the content validity of a set of PRO items to evaluate acute pelvic toxicity to radiotherapy including online MRgRT. METHODS: A literature review and chart audit were conducted to identify symptomatic adverse events (AEs) to be selected from the Patient-Reported Outcomes Version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) library and European Organisation for Research and Treatment of Cancer (EORTC) item library. To validate the content, the item set was applied in a prospective pilot cohort of patients referred for primary pelvic RT with curative intent. Patients reported symptoms weekly during RT (4-8 weeks) and the subsequent 4 weeks. Follow-up reports were collected at 8, 12, and 24 weeks after RT. To ensure symptom coverage clinician-reported toxicity and individual patient interviews were conducted. The symptomatic AEs were included in the final item set if ≥20% of patients reported them. RESULTS: Eighteen acute symptomatic AEs were selected for the initial item set. Forty patients (32 prostate cancer, 8 cervical cancer) were included in the pilot study. Patients with prostate cancer and those with cervical cancer both reported all 18 acute AEs. However, vomiting was not reported by > 20% of patients thus excluded from the item set. Adding a few diagnosis-specific AEs to the final item set was required for both prostate and cervical cancer patients. CONCLUSIONS: A PRO item set for patients with pelvic cancer treated with radiotherapy with a curative intent was developed and content validity explored. In the pilot study, the item set captured the most common acute symptomatic AEs for patients with prostate and cervical cancer related to pelvic RT including online MRgRT. Further validation of the content in broader disease sites would be needed in future studies.
ABSTRACT
PURPOSE/OBJECTIVE: Radiation-induced mucositis is a severe acute side effect, which can jeopardize treatment compliance and cause weight loss during treatment. The study aimed to develop robust models to predict the risk of severe mucositis. MATERIALS/METHODS: Mucosal toxicity scores were prospectively recorded for 802 consecutive Head and Neck (H&N) cancer patients and dichotomised into non-severe event (grade 0-2) and severe event (grade 3+) groups. Two different model approaches were utilised to evaluate the robustness of the models. These used LASSO and Best Subset selection combined with 10-fold cross-validation performed on two-thirds of the patient cohort using principal component analysis of DVHs. The remaining one-third of the patients were used for validation. Model performance was tested through calibration plot and model performance metrics. RESULTS: The main predicted risk factors were treatment acceleration and the first two principal dose components, which reflect the mean dose and the balance between high and low doses to the oral cavity. For the LASSO model, gender and current smoker status were also included in the model. The AUC values of the two models on the validation cohort were 0.797 (95%CI: 0.741-0.857) and 0.808 (95%CI: 0.749-0.859), respectively. The two models predicted very similar risk values with an internal Pearson coefficient of 0.954, indicating their robustness. CONCLUSIONS: Robust prediction models of the risk of severe mucositis have been developed based on information from the entire dose distribution for a large cohort of patients consisting of all patients treated H&N for within our institution over a five year period.
