B lines are at best a simple tool, and require intelligent use to perform at test characteristics reported by the more favourable meta-analyses. The aim of this talk is to discuss literature investigating B lines, and combine it with our own experience of the traps and caveats of B lines, to illustrate how best to protect their reputation and optimise use.