Purpose <p>To compare the ALGO Smart Pump (ALGO), operating in Adaptive Pulsatile Aspiration (APA™) and Static modes, with the Penumbra ENGINE during in-vitro mechanical thrombectomy, and to determine whether adaptive pulsatile aspiration improves complete clot ingestion (CCI) and reduces aspiration time across catheters sizes and catheter-to-artery (C/A) ratios.</p> Methods <p>A&#xa0;pre-specified integrative analysis of two previously completed in-vitro thrombectomy studies was conducted using a&#xa0;standardized middle cerebral artery occlusion model. A&#xa0;total of 720 thrombectomy procedures were performed by two experienced operators using twelve commercial catheters (six small-bore, six large-bore). Three aspiration modalities were tested: ALGO APA™, ALGO Static, and Penumbra ENGINE continuous aspiration (<i>n</i> = 30 per catheter-pump pairing). The primary endpoint was CCI; secondary endpoint was aspiration time. Outcome analysis included two-way ANOVA and Chi-squared tests, with catheter, operator, and C/A ratio terms.</p> Results <p>The ALGO demonstrated a&#xa0;higher median CCI rate than Penumbra (81.4% vs. 56.1%, χ<sup>2</sup>(1) = 52.364, <i>p</i> &lt; 0.001). Aspiration times were significantly shorter with ALGO, particularly in APA™ mode (43.8 s vs. 60.6 s, <i>p</i> &lt; 0.001). Two-way ANOVA demonstrated significant interaction between catheter size and pump type (<i>p</i> &lt; 0.001), with ALGO notably improving small-bore catheter performance. CCI correlated positively with catheter-to-artery (C/A) ratio across both systems, with ALGO maintaining higher success across all ratios.</p> Conclusion <p>Adaptive pulsatile aspiration enhances clot ingestion efficiency and reduces aspiration time in an in-vitro thrombectomy model, particularly for smaller catheters. These findings support further translational studies on optimizing aspiration dynamics to enhance first-pass success in endovascular stroke therapy.</p>

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Enhanced Complete Clot Ingestion with the ALGO Smart Pump: Preclinical Evidence Supporting Aspiration Efficiency in Mechanical Thrombectomy

  • Amer Mitchelle,
  • Pervinder Bhogal,
  • Ravi Gandhi,
  • Robert Slazas,
  • Manning Hanser,
  • Nathan Manning

摘要

Purpose

To compare the ALGO Smart Pump (ALGO), operating in Adaptive Pulsatile Aspiration (APA™) and Static modes, with the Penumbra ENGINE during in-vitro mechanical thrombectomy, and to determine whether adaptive pulsatile aspiration improves complete clot ingestion (CCI) and reduces aspiration time across catheters sizes and catheter-to-artery (C/A) ratios.

Methods

A pre-specified integrative analysis of two previously completed in-vitro thrombectomy studies was conducted using a standardized middle cerebral artery occlusion model. A total of 720 thrombectomy procedures were performed by two experienced operators using twelve commercial catheters (six small-bore, six large-bore). Three aspiration modalities were tested: ALGO APA™, ALGO Static, and Penumbra ENGINE continuous aspiration (n = 30 per catheter-pump pairing). The primary endpoint was CCI; secondary endpoint was aspiration time. Outcome analysis included two-way ANOVA and Chi-squared tests, with catheter, operator, and C/A ratio terms.

Results

The ALGO demonstrated a higher median CCI rate than Penumbra (81.4% vs. 56.1%, χ2(1) = 52.364, p < 0.001). Aspiration times were significantly shorter with ALGO, particularly in APA™ mode (43.8 s vs. 60.6 s, p < 0.001). Two-way ANOVA demonstrated significant interaction between catheter size and pump type (p < 0.001), with ALGO notably improving small-bore catheter performance. CCI correlated positively with catheter-to-artery (C/A) ratio across both systems, with ALGO maintaining higher success across all ratios.

Conclusion

Adaptive pulsatile aspiration enhances clot ingestion efficiency and reduces aspiration time in an in-vitro thrombectomy model, particularly for smaller catheters. These findings support further translational studies on optimizing aspiration dynamics to enhance first-pass success in endovascular stroke therapy.