Background: Community resilience and health emergency communication are both crucial in promoting a community's ability to endure crises and recover from emergency events. Yet, a notable gap in theory and evidence exists in the relationship between them. We aim to explore the relationship between community resilience and health emergency communication and to identify strategies and interventions to strengthen their usefulness to each other.
View Article and Find Full Text PDFPurpose: Theranostic approaches combining prostate-specific membrane antigen (PSMA)-PET/CT or PET/MRI with PSMA-targeted radionuclide therapy have improved clinical outcomes in patients with prostate cancer (PCa) especially metastatic castrate resistant prostate cancer. Dural metastases in PCa are rare but can pose a diagnostic challenge, as meningiomas, a more common dural based lesions have been shown to express PSMA. The aim of this study is to compare PSMA PET parameters between brain lesions classified as dural metastases and meningiomas in prostate cancer patients.
View Article and Find Full Text PDFBackground: PSMA PET has emerged as a "gold standard" imaging modality for assessing prostate cancer metastases. However, it is not universally available, and this limits its impact. In contrast, whole-body MRI is much more widely available but misses more lesions.
View Article and Find Full Text PDFCombined large-scale rainwater harvesting (RWH) and flood mitigation systems are promising as a sustainable water management strategy in urban areas. These are multi-purpose infrastructure that not only provide a secondary, localised water resource, but can also reduce discharge and hence loads on any downstream wastewater networks if these are integrated into the wider water network. However, the performance of these systems is dependent on the specific design used for its local catchment which can vary significantly between different implementations.
View Article and Find Full Text PDFBackground: Endobronchial valve placement is a minimally invasive option for treatment of patients with severe emphysema, by reducing lung volumes in lobes with both poor ventilation and perfusion; ventilation is determined by emphysematous scores and perfusion by quantitative lung perfusion imaging. CT-based fissure identifying artificial intelligence algorithms have recently demonstrated enhanced quantification of the perfusion in a 5-lobar analysis. We hypothesized that this newly developed algorithm may offer greater utility in determining target treatment lobes by supplementing the radiographic risk stratification initiated by the conventional emphysematous scores alone.
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