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Aortic dissection: percutaneous management with a separating stent-graft--preliminary results
1Department of Diagnostic Radiology Chosun University College of Medicine, Kwangju, Korea.
Radiology
|July 31, 2001
Summary
A novel separating stent-graft effectively treated Stanford type B aortic dissection, achieving false-lumen thrombosis in all patients. This minimally invasive technique avoids the need for surgical cutdown and blood pressure control.
Area of Science:
- Cardiovascular Surgery
- Vascular Endovascular Therapy
- Medical Device Innovation
Background:
- Stanford type B aortic dissection presents significant treatment challenges.
- Current management often involves invasive procedures and strict hemodynamic control.
- There is a need for less invasive and effective treatment options.
Purpose of the Study:
- To evaluate the efficacy and safety of a novel separating stent-graft for treating Stanford type B aortic dissection.
- To assess the rate of false-lumen thrombosis following the intervention.
- To determine the advantages of this technique over conventional methods.
Main Methods:
- A separating stent-graft, comprising a stent-graft and an inner bare stent, was utilized.
- The device features a proximal stent, a synthetic polyester textile fiber graft, and a distal stent.
- A 12-F introducing sheath facilitated the endovascular placement.
Main Results:
- The separating stent-graft was successfully placed in six patients with Stanford type B aortic dissection.
- False-lumen thrombosis was observed in all six patients during the follow-up period.
- The mean follow-up duration was 206 days.
- Key advantages included the absence of a requirement for surgical cutdown and intensive blood pressure management.
Conclusions:
- The separating stent-graft is a promising endovascular solution for Stanford type B aortic dissection.
- The technique demonstrates high efficacy in achieving false-lumen thrombosis.
- Its minimally invasive nature offers significant advantages, potentially improving patient outcomes and reducing procedural complexity.