An Intelligent Thrombectomy System for Efficient Removal of Large and Adherent Thrombi

Abstract

Abstract. This study proposes the design of a minimally invasive, intelligent thrombectomy device. The system is controlled by a microprocessor and equipped with two pressure sensors positioned along the suction pipeline. By measuring differential pressure, the system can detect the presence of a thrombus in real-time. For thrombus removal, the device employs an alternating positive–negative pressure suction technique which generates shock waves within the suction tube, enabling the thrombus to be fragmented and subsequently aspirated. The design effectively targets large and viscous thrombi while substantially minimizing intra-operative blood loss and associated surgical risks. The performance of the device was validated in a simulated thrombectomy environment. The key metrics—including thrombus size, suction time, and total blood loss—were recorded and compared against those from conventional devices. The experimental results demonstrated the system's comprehensive functionality, which significantly shortened operative duration, reduced blood loss during the procedure, efficiently removed large and adherent thrombi, and lowered the risk of complications by 24% compared to conventional devices. This confirms the device's potential to address current clinical shortcomings in thrombus management.