Cerebral venous thrombosis: Current management, recent advances and future directions

The diagnostic work-up of CVT could be further improved if clinical decision rules, in combination with biomarkers, are developed and validated. Similarly, Artificial Intelligence algorithms that are able to detect signs of CVT on imaging, even when CVT is not suspected, could help to speed up diagnosis of CVT, allowing faster treatment. Novel anticoagulant and fibrinolytic treatments hold promise to rapidly and safely achieve recanalization of the venous system. Finally, multicenter studies should address novel ways to measure outcome after CVT, beyond the modified Rankin Scale. As with all CVT research, international collaboration through academic consortia will be the key to produce evidence-based answers to the burning clinical questions, with the ultimate goal to reduce the global burden of this condition.