Benefit of mechanical thrombectomy in acute ischemic stroke related to calcified cerebral embolus

Téodor Grand1, Cyril Dargazanli2, Chrysanthi Papagiannaki3

  • 1Department of Neuroradiology, Pitié-Salpêtrière Hospital, Paris, France.

Abstract

Insights

Mechanical thrombectomy for acute ischemic stroke due to calcified cerebral embolus (CCE) shows lower reperfusion and clinical outcomes. The MASC study and meta-analysis confirm these challenges in treating CCEs with mechanical thrombectomy (MT).

Area of Science:

  • Neurology
  • Interventional Neuroradiology
  • Stroke Medicine

Background:

  • Large vessel occlusion (LVO) stroke treatment with mechanical thrombectomy (MT) is standard, but calcified cerebral embolus (CCE) presents unique challenges.
  • Previous small case series suggest CCEs are associated with lower reperfusion rates and worse outcomes compared to non-calcified emboli.

Purpose of the Study:

  • To evaluate the incidence of CCEs in patients undergoing MT for acute ischemic stroke.
  • To assess the effectiveness of MT in treating LVO related to CCEs.

Main Methods:

  • The MASC study is a retrospective, multicenter national study in France (Jan 2015-Nov 2019) including 37 centers.
  • Data collected included reperfusion rates (mTICI ≥ 2B), complication rates, and 90-day modified Rankin Scale (mRS) scores.
  • A systematic review and meta-analysis of relevant literature (Jan 2015-Mar 2020) were performed to complement the study findings.

Main Results:

  • Data from 35 patients in the MASC study showed a 57% reperfusion rate and 28% good clinical outcome (90-day mRS).
  • The meta-analysis, including 136 patients, reported a 50% reperfusion rate and a 29% good clinical outcome.
  • These outcomes are generally worse compared to MT for non-calcified emboli.

Conclusions:

  • Mechanical thrombectomy for acute ischemic stroke secondary to calcified cerebral embolus is associated with suboptimal angiographic and clinical outcomes.
  • The findings highlight the need for further research into optimizing MT techniques or alternative strategies for CCEs.