BACKGROUND Metastatic clear cell renal cell cancer (mccRCC) portends a poor prognosis and urgently requires better clinical tools for prognostication as well as for prediction of response to treatment. Considerable investment in molecular risk stratification has sought to overcome the performance ceiling encountered by methods restricted to traditional clinical parameters. However, replication ...

Historically, molecular imaging of somatostatin receptor (SSTR) expression in patients with neuroendocrine tumors (NET) was performed using SSTR scintigraphy (SRS). Sustained advances medical have led to its gradual replacement positron-emission tomography (SSTR-PET). The higher sensitivity comparison SRS on the one hand and conventional cross-sectional imaging, other hand, enables more accurat...

Stroke is the most common cause of neurological disability and yet our ability to predict long-term outcomes remains poor. The paper by Selles et al 1 used upper limb from 450 patients with first-time ischaemic stroke take a refreshingly different approach prediction problem. First, allowing repeated clinical measures contribute acknowledges what clinicians already know—that rate change helpful...

Introduction Predicting those who are likely to survive with good neurological outcome following out of hospital cardiac arrest (OHCA) is important for patients, their carers and society however prognostication following OHCA is difficult. The European Resuscitation Council and the European Society of Intensive Care Medicine (ESICM) have published an advisory statement regarding prognostication...

The role of EEG in the context of prognostication in patients with acute disorders of consciousness in the intensive care unit has expanded over the last decades, in parallel with technical developments and refinements. This article will review the most common EEG patterns, and outline their prognostic implications. Then, several diagnostic categories will be analyzed regarding the prognostic r...