Amsterdam, the Netherlands – Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced that the first patients have been successfully treated for Inferior Vena Cava (IVC) filter removal using its IVC Filter Removal Laser Sheath – CavaClear. CavaClear provides an effective, minimally invasive solution for embedded IVC filters, to help physicians reduce risk of significant filter-related complications in patients and improve workflow performance. The first two patients were successfully treated at Northwestern Medicine (Chicago, IL) by Kush R. Desai, MD, FSIR, Associate Professor of Radiology, Surgery, and Medicine, and Director of Deep Venous Interventions, Division of Interventional Radiology at Northwestern University Feinberg School of Medicine, and at Stanford Hospital (Palo Alto, CA) by William T. Kuo, MD, FSIR, FCCP, FSVM, FACR, FCIRSE, Professor of Interventional Radiology and Director of the Stanford IVC Filter Clinic at Stanford University School of Medicine.
IVC filters are used to treat patients with venous thromboembolism, in which blood clots form in the deep veins of the leg and groin and can travel through the circulatory system. They are placed in the inferior vena cava to capture blood clots from moving to the lungs. However, research has shown that IVC filters may have long-term complications . The filters can fracture and travel through the bloodstream to other parts of the body. Other identified long-term risks associated with IVC filters include penetration into adjacent organs and IVC occlusion. The FDA recommends that implanting physicians consider removing retrievable IVC filters as soon as they are no longer indicated .
CavaClear uses circumferential tissue ablation to aid in capturing the filter within seconds of laser activation, which can help increase procedural efficiency during removal and may help lower costs by reducing the number of retrieval attempts needed to remove an embedded filter. In addition, the simple and safe design is easy for physicians to integrate into their workflow and reduce the need for high-force retrievals that could increase the chance of a complication.