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American Heart Association

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Final ID: DP40

Association of Automated Anatomical Vascular Measurements and Procedural Outcomes in Patients undergoing Endovascular Treatment of Stroke

Abstract Body: Introduction. Challenging anatomy and tortuous vessels have been associated with poor outcomes in endovasculat treatment (EVT) of stroke. We aim to examine the relation between intracranial vascular features and EVT outcomes.
Methods. A pre-existing automatic vascular analysis software of vessels on head-and-neck baseline CTA, was adapted to semi-automatically extract the vascular centerline segment from the internal carotid artery (ICA) origin to the thrombus site. Manual intervention was limited to approximate thrombus location placement and side of occlusion. For each vascular segment, the tortuosity index (TI), the overall mean diameter of the entire segment (OMD) and the last 5 mm (diameter at occlusion site) were computed. We defined: first pass effect (FPE: eTICI≥2c at first pass), successful recanalization (mTICI ≥ 2b), excellent recanalization (mTICI ≥ 2c), intracranial hemorrhage (ICH) and symptomatic ICH (sICH).
Results: 437 cases with intracranial vessel occlusions in the anterior circulation, treated with EVT between 2017 and 2022 (41% women, median age 81 [IQR 70-88] years), were analyzed (M1: 261 (59.7%); proximal M2: 111(25.4%); M2 distal: 65 (14.9%). Significant differences were found in the diameter at the occlusion site: distal M2: 2.42±0.74mm, proximal M2: 2.43±0.77mm, M1: 2.93±0.80mm (p<0.001) and in the TI: distal M2: 0.52±0.06, proximal M2: 0.50±0.08, M1: 0.47±0.08 (p< 0.001). In the entire population, a larger OMD predicted a lower likelihood of FPE (OR:0.51 (95% CI:0.32-0.80) and a higher risk of ICH (OR:1.79 (95% CI:1.08-2.98). Additionally, a larger diameter at the occlusion site predicted a higher risk of ICH (OR:1.36; 95% CI: 1.05, 1.77) for the entire population and especially for proximal M2 occlusions (OR: 1.91, CI:1.05-3.47).
Conclusions.
Anatomical vascular features automatically extracted from CTA before the procedure can help predict the likelihood of recanalization or the risk of hemorrhagic complications. Further analysis will explore specific anatomical markers that increase the risk of complications, especially in distal occlusions.
  • Sastre, Blanca  ( VHIR , Barcelona , Spain )
  • Canals, Pere  ( VHIR , Barcelona , Spain )
  • Garcia-tornel Garcia-camba, Alvaro  ( Hospital Universitari Vall dHebron , Barcelona , Spain )
  • Ribo, Marc  ( hebron , Barcelona , Spain )
  • Author Disclosures:
    Blanca Sastre: No Answer | Pere Canals: DO NOT have relevant financial relationships | Alvaro Garcia-Tornel Garcia-Camba: DO NOT have relevant financial relationships | Marc Ribo: DO NOT have relevant financial relationships
Meeting Info:
Session Info:

Neuroendovascular Moderated Digital Posters

Thursday, 02/06/2025 , 12:40PM - 01:10PM

Moderated Digital Poster Abstract Session

More abstracts from these authors:
Predicting Intracranial Atherosclerosis-related Large Vessel Occlusion Using Deep Learning on Neuroimaging and Clinical Data.

Gonzalez-riveros Jesus David, Canals Pere, Rodrigo-gisbert Marc, Mayol Jordi, Garcia-tornel Garcia-camba Alvaro, Ribo Marc

Graph neural networks for impossible transfemoral access pre-procedural prediction in stroke mechanical thrombectomy

Canals Pere, Garcia-tornel Garcia-camba Alvaro, Ribo Marc

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