Purpose: Moderate hypofractionation was adopted to reduce hospital visits during the COVID-19 pandemic aiming to maintain treatment efficacy for soft tissue sarcoma (STS) patients, shifting preoperative schedules from 25 fractions of 2 Gy to 14-15 fractions of 3 Gy. This study evaluates the clinical implications and outcomes of this schedule, focusing on wound complications, radiation toxicity, local tumour control, and distant metastases.
Patients And Methods: Data was collected from patients treated between 01 and 01-2020 and 31-12-2023.
Introduction: Chemoradiotherapy (CRT) is the standard of care in inoperable non-small-cell lung cancer (NSCLC) patients, favoring concurrent (cCRT) over sequential CRT (seqCRT), with adjuvant immunotherapy in responders. Elderly and frail NSCLC patients have generally been excluded from trials in the past. In elderly patients however, the higher treatment related morbidity of cCRT, may outweigh the possible lower tumor control of seqCRT.
View Article and Find Full Text PDFPurpose: The European Organisation for Research and Treatment of Cancer 10981-22023 AMAROS trial evaluated axillary lymph node dissection (ALND) versus axillary radiotherapy (ART) in patients with cT1-2, node-negative breast cancer and a positive sentinel node (SN) biopsy. At 5 years, both modalities showed excellent and comparable axillary control, with significantly less morbidity after ART. We now report the preplanned 10-year analysis of the axillary recurrence rate (ARR), overall survival (OS), and disease-free survival (DFS), and an updated 5-year analysis of morbidity and quality of life.
View Article and Find Full Text PDFBackground And Purpose: Large radiotherapy (RT) planning imaging datasets with consistently contoured cardiovascular structures are essential for robust cardiac radiotoxicity research in thoracic cancers. This study aims to develop and validate a highly accurate automatic contouring model for the heart, cardiac chambers, and great vessels for RT planning computed tomography (CT) images that can be used for dose-volume parameter estimation.
Materials And Methods: A neural network model was trained using a dataset of 127 expertly contoured planning CT images from RT treatment of locally advanced non-small-cell lung cancer (NSCLC) patients.