Several studies report the benefits and accuracy of using autosegmentation for organ at risk (OAR) outlining in radiotherapy treatment planning. Typically, evaluations focus on accuracy metrics, and other parameters such as perceived utility and safety are routinely ignored. Here, we report our finding from the implementation and clinical evaluation of OSAIRIS, an open-source AI model for radiotherapy image segmentation that was carried out as part of its development into a medical device.
View Article and Find Full Text PDFBackground: Despite the burden of low back pain (LBP) there is no currently accepted definition for its recovery, nor is there a gold standard for measurement. In addition, it is currently unclear how the perspective of patients are used in making recovery determinations. The purpose of this mixed study systematic review across both quantitative and qualitative literature was to (1) explore how recovery has been defined and measured for patients experiencing LBP, and (2) examine how the perspectives of patients and providers for recovery of LBP align or differ.
View Article and Find Full Text PDFBackground And Objective: Cytoreductive treatments for patients diagnosed with de novo synchronous metastatic hormone-sensitive prostate cancer (mHSPC) confer incremental survival benefits over systemic therapy, but these may lead to added toxicity and morbidity. Our objective was to determine patients' preferences for, and trade-offs between, additional cytoreductive prostate and metastasis-directed interventions.
Methods: A prospective multicentre discrete choice experiment trial was conducted at 30 hospitals in the UK between December 3, 2020 and January 25, 2023 (NCT04590976).