Poster Presentation Asia Pacific Stroke Conference 2024

Novel vascular territory mapping algorithm as a predictive tool for identification of antegrade flow in MCA occlusion. (#458)

Michael Valente 1 2 , Mark Parsons 3 , Chushuang Chen 3 4 , Milanka Visser 1 , Henry Ma 2 , Andrew Bivard 1
  1. Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, Australia
  2. Department of Neurology, Monash Health, Clayton, VIC, Australia
  3. University of New South Wales South Western Sydney Clinical School, Department of Neurology Liverpool Hospital, Ingham Institute of Applied Medical Research, Liverpool, Australia
  4. Faculty of Medicine, University of NSW, Sydney, NSW, Australia

Vascular territory mapping (VTM) software estimates which intracerebral vessel provides peak arterial flow to a brain voxel. We identify whether VTM software is a determinant of antegrade flow in patients with proximal MCA occlusion.

Methods

Consecutive patients with M1 occlusion were analysed from INSPIRE (International Stroke Perfusion Imaging Registry). Authors reviewed dynamic 4D CTA for the presence an acute M1 thrombus and antegrade flow. VTM software assigned regions of the brain to an estimated feeding vessel (ACA, MCA, PCA). A binomial logistic regression was performed to determine the effects of VTM, ischaemic core (CBF<30) and perfusion lesion (DT>3) on the likelihood that patients had the presence of any antegrade flow in the MCA territory. A secondary analysis was performed to assess the relationship between imaging variables and 3-month MRS outcome.

Results

The final dataset included 130 patients with M1 occlusion, and 18 patients were identified with antegrade flow on 4D DSA. Patients with antegrade flow had significantly larger VTM MCA volumes, 101ml (72-180), compared to those with complete occlusion, 41ml (21-71). VTM MCA volume significantly predicted antegrade flow, with increase in odds per unit volume (1ml) of 1.024 (95% CI, 1.013 to 1.036), p = <0.001. Ischemic core and the perfusion lesion did not significantly improve model prediction of antegrade flow.

Conclusion

VTM software was more effective than traditional perfusion parameters in the detection of antegrade flow.