Timke, Carmen

Abstract Background Radiotherapy of breast cancer can be associated with dermatitis. Grade ≥ 2 radiation dermatitis can be painful and impair the patients’ quality of life. To reduce the risk of this complication, patients have to perform skin care several times each day. This may require a considerable level of compliance. This randomized DAI-BREAC trial investigates whether a mobile application reminding the patients four times per day to perform skin care (reminder app) will contribute to reduction of grade ≥ 2 radiation dermatitis. Methods This multinational, randomized, active-controlled, parallel-group, multicenter trial compares standard skin care supported by a reminder app (Arm A) versus standard skin care alone (Arm B) regarding grade ≥ 2 radiation dermatitis in patients receiving adjuvant radiotherapy for breast cancer. The effect of the app will be considered clinically relevant, if the rate of grade ≥ 2 radiation dermatitis is reduced from 25.4% (rate identified in a preceding study) to 15%. A total of 134 patients per arm including drop-outs are required. Secondary aims include pain (visual analogue scale), patient satisfaction with the app (questionnaire), impact of the app on the use of health technology (questionnaire), and benefit from support (coaching) by staff members regarding the use of the app (questionnaire). Discussion If reminder app contributes to a decrease of grade ≥ 2 radiation dermatitis in patients irradiated for breast cancer, it will likely become a useful instrument for these patients. Trial registration: clinicaltrials.gov (NCT06483477; URL: https://clinicaltrials.gov/show/NCT06483477). Registered on 1st of July, 2024. First patient is planned to be included in September 2024.

Abstract Background: Pneumonitis caused by radiotherapy for lung cancer may be missed, since it often occurs only several months later. In a previous trial including patients of any age, a symptom-based scoring system was tested to facilitate the correct diagnosis of radiation pneumonitis. Since elderly lung cancer patients have a greater risk of developing this complication, a separate scoring system particularly for this age group appears reasonable. This trial investigates such a specific tool for elderly patients irradiated for lung cancer. Methods: Patients with lung cancer patients aged ≥65 years will be included in this prospective multi-center trial and complete paper-based questionnaires (symptom-based scoring system). Patients indicate and rate symptoms potentially caused by pneumonitis, namely cough, dyspnea, and fever, once a week during and up to 24 weeks following their radiotherapy course. If symptomatic (grade ≥2) pneumonitis is confirmed by corresponding diagnostic procedures, patients receive prednisolone whenever possible. The total score of the symptom-based scoring system, which ranges between 0 and 9 points, is correlated to pneumonitis (yes or no). The discriminative power of the scoring system is evaluated by calculating the area under the receiver operating characteristic curve (AUC). Optimality is defined as a cut-off score with sensitivity ≥90% and specificity ≥80%. In addition, the Youden index (sensitivity + specificity – 1) will be applied. Fifty-nine patients (18 with and 41 without pneumonitis) are required in the full analysis set. Assuming that 5% of the patients will not qualify for this set, 62 patients should be enrolled. In addition, patient satisfaction with the scoring system is evaluated. If the dissatisfaction rate is >20%, the score needs modifications; if the dissatisfaction rate is >40%, the scoring system is considered not useful. Discussion: If the optimal cut-off score facilitates the diagnosis of radiation pneumonitis and its discrimination from other lung diseases in elderly patients with lung cancer, it will contribute to the development of a mobile application for identification of radiation pneumonitis, which can be used by the patients at home. Trial registration: clinicaltrials.gov (NCT06480734; URL: https://clinicaltrials.gov/show/NCT06480734); protocol version 1.2, registered on 27th of June, 2024.