Our radiomics model can reliably identify RBC and platelet-rich thrombi. Fast identification of thrombus histological components on CT at arrival can help to design the preferred therapeutic strategy

FIV was quantified using Methinks FIV segementation on 24-hour NCCT. Improved clinical outcomes in patients with FPE and cSR patterns seem to be influenced by reduced infarct volume in a stepwise manner (FIV FPE<cSR<PR).

On late window patients, estimation of ICV on NCCT with Methinks Ischemia algorithm seems to be superior to CTP and ASPECTS.

Machine learning analysis of CT at admission reliable classifies thrombi according to their main component. A better understanding of clot composition on a fast and simple way may be relevant on personalizing therapeutic strategies and improving the odds of recanalization in large vessel occlusion stroke.

In patients with stroke, current guidelines recommend non-invasive vascular imaging to identify intracranial vessel occlusions (VO) that may benefit from endovascular treatment (EVT). However, VO can be missed in CT angiography (CTA) readings.

Validation analysis to measure the Methinks NCCT LVO and NCCT ICH accuracy among suspected stroke patients transferred to a Comprehensive Stroke Centre (CSC) in Mexico and the possible impact on the workflow in low and middle income countries (LMIC). Sensitivity and specificity resulted in 100% and 95.8%, respectively. Methinks could save CTA acquisition times of 40 minutes by taking patients directly to the angiosuite for endovascular treatment.

In patients with suspected acute stroke, MethinksLVO software can rapidly and reliably predict LVO.