Lung cancer is the most commonly diagnosed cancer and biggest cause of cancer mortality worldwide with non-small cell lung cancer (NSCLC) accounting for most cases. Radiotherapy (RT) plays a key role in its management and is used at least once in over half of patients in both curative and palliative treatments. This narrative review will demonstrate how the evolution of RT for NSCLC has been underpinned by improvements in RT technology. These improvements have facilitated geometric individualization, increasingly accurate treatment and now offer the ability to deliver truly individualized RT. In this review, we summarize and discuss recent developments in the field of advanced RT in early stage, locally advanced and metastatic NSCLC. We highlight limitations in current approaches and discuss future potential treatment strategies for patients with NSCLC.

Remarkable progress has been made over the past decade in cancer medicine. Personalized medicine, driven by biomarker predictive factors, novel biotherapy, novel imaging, and molecular targeted therapeutics, has improved outcomes. Cancer is becoming a chronic disease rather than a fatal disease for many patients. However, despite this progress, there is much work to do if patients are to receive continuous highquality care in the appropriate place, at the appropriate time, and with the right specialized expert oversight. Unfortunately, the rapid expansion of therapeutic options has also generated an ever-increasing burden of emergency care and encroaches into end-of-life palliative care. Emergency presentation is a common consequence of cancer and of cancer treatment complications. It represents an important proportion of new presentations of previously undiagnosed malignancy. In the U.K. alone, 20%-25% of new cancer diagnoses are made following an initial presentation to the hospital emergency department, with a greater proportion in patients older than 70 years. This late presentation accounts for poor survival outcomes and is often associated with poor patient experience and poorly coordinated care.The recent development of acute oncology services in the U.K. aims to improve patient safety, quality of care, and the coordination of care for all patients with cancer who require emergency access to care, irrespective of the place of care and admission route. Furthermore, prompt management coordinated by expert teams and access to protocol-driven pathways have the potential to improve patient experience and drive efficiency when services are fully established. The challenge to leaders of acute oncology services is to develop bespoke models of care, appropriate to local services, but with an opportunity for acute oncology teams to engage cancer care strategies and influence cancer care and delivery in the future. This will aid the integration of highly specialized cancer treatment with high-quality care close to home and help avoid hospital admission. The Oncologist 2016;21:301-307 Implications for Practice: Emergency presentations of cancer patients to health care services can be associated with high risks and poor outcomes. Systematic approaches are described to create best practice for these patients based on expert teams and careful organization of services in all hospitals. These approaches, called "acute oncology" in the U.K., may improve care and avoid unnecessary deaths.

Purpose . 4D-CT is routine imaging for lung cancer patients treated with stereotactic body radiotherapy. No studies have investigated optimal 4D phase selection for radiomics. We aim to determine how phase data should be used to identify prognostic biomarkers for distant failure, and test whether stability assessment is required. A phase selection approach will be developed to aid studies with different 4D protocols and account for patient differences. Methods . 186 features were extracted from the tumour and peritumour on all phases for 258 patients. Feature values were selected from phase features using four methods: (A) mean across phases, (B) median across phases, (C) 50% phase, and (D) the most stable phase (closest in value to two neighbours), coined personalised selection. Four levels of stability assessment were also analysed, with inclusion of: (1) all features, (2) stable features across all phases, (3) stable features across phase and neighbour phases, and (4) features averaged over neighbour phases. Clinical-radiomics models were built for twelve combinations of feature type and assessment method. Model performance was assessed by concordance index (c-index) and fraction of new information from radiomic features. Results . The most stable phase spanned the whole range but was most often near exhale. All radiomic signatures provided new information for distant failure prediction. The personalised model had the highest c-index (0.77), and 58% of new information was provided by radiomic features when no stability assessment was performed. Conclusion . The most stable phase varies per-patient and selecting this improves model performance compared to standard methods. We advise the single most stable phase should be determined by minimising feature differences to neighbour phases. Stability assessment over all phases decreases performance by excessively removing features. Instead, averaging of neighbour phases should be used when stability is of concern. The models suggest that higher peritumoural intensity predicts distant failure.

The majority of patients with incidental gallbladder cancer were not amenable to further potentially curative resection. The radiological suspicion of gallbladder cancer should lead to prompt referral to a tertiary hepatobiliary unit for further management.