Publications by authors named "D Azria"
Purpose: Overlapping genes are involved with rheumatoid arthritis (RA) and DNA repair pathways. Therefore, we hypothesised that patients with a high polygenic risk score (PRS) for RA will have an increased risk of radiotherapy (RT) toxicity given the involvement of DNA repair.
Methods: Primary analysis was performed on 1494 prostate cancer, 483 lung cancer and 1820 breast cancer patients assessed for development of RT toxicity in the REQUITE study.
Background And Purpose: We investigate discrepancies in the assessment of treatment-related symptoms in lung cancer between healthcare professionals and patients, and factors contributing to these discrepancies.
Materials And Methods: Data from 515 participants in the REQUITE study were analysed. Five symptoms (cough, dyspnoea, bronchopulmonary haemorrhage, chest wall pain, dysphagia) were evaluated both before and after radiotherapy.
Introduction: Following a preliminary work validating the technological feasibility of an adaptive workflow with Ethos for whole-breast cancer, this study aims to clinically evaluate the automatic segmentation generated by Ethos.
Material And Methods: Twenty patients initially treated on a TrueBeam accelerator for different breast cancer indications (right/left, lumpectomy/mastectomy) were replanned using the Ethos emulator. The adaptive workflow was performed using 5 randomly selected extended CBCTs per patient.
Article Synopsis
- IBDM for breast radiotherapy needs better spatial normalisation due to differences in treatment positioning and breast characteristics, prompting an optimization study.
- Data from 996 patients were analyzed using various deformable image registration methods to improve the accuracy of spatial normalisation during treatment.
- The B-spline algorithm with normalised mutual information was identified as the most effective method, with supine registrations achieving the highest accuracy, while arm positioning did not significantly affect outcomes.