Contemporary endovascular treatment for disease of the superficial femoral and popliteal arteries: an integrated device-based strategy.
Endovascular therapy for disease of the superficial femoral artery (SFA) and the popliteal artery remains controversial. Percutaneous treatment of this arterial segment presents a particular technical challenge, as the extent of disease varies from short, focal, and stenotic to long, diffuse, and occluded lesions. Over the last 2 decades, multiple therapies have been evaluated, including simple balloon angioplasty, directional atherectomy, stenting (both balloon-expandable and self-expanding), and more recently, intra-arterial radiation, laser, and cryotherapy. Regardless of which modality is used, however, endovascular therapy as a revascularization strategy has the potential to improve symptoms and quality of life and, in selected patients, to avoid limb amputation. While percutaneous endovascular treatment has been historically associated with high procedural success and favorable short and intermediate-term patency rates, long-term clinical results have proven disappointing. Conventional balloon angioplasty is limited by elastic recoil, dissection, and restenosis. Balloon-expandable stents (particularly in the distal SFA) are associated with late stent deformation and mechanical compression, with resultant late clinical failure. Newer self-expanding stents have shown improved initial results but have been limited by late mechanical fatigue and associated restenosis. With the development of several newer endovascular techniques in recent years, the possibilities for treating this condition have increased dramatically. Currently, no long-term comparative data exist regarding the role of these alternative technologies. This article summarizes and compares important data about new endovascular options for intervention therapy in SFA and popliteal disease. In addition, based on this analysis, we propose a contemporary treatment strategy, integrating older and newer technologies into a real-world algorithm.