Statin therapy in CLI patients is associated with an increased AFS and lower rates of mortality and MACCEs without improving, however, the salvage rates of the affected limb.

Biologic protection procedures as local muscle flaps are vital adjuncts to vascular surgery techniques in the treatment of complicated wounds in the groin. Occlusion of the SFA in the presence of a patent PFA is not associated with an increased risk of flap loss in proximal sartorius muscle rotational flaps.

Purpose The navigation of endovascular guidewires is a dexterous task where physicians and patients can benefit from automation. Machine learning-based controllers are promising to help master this task. However, human-generated training data are scarce and resource-intensive to generate. We investigate if a neural network-based controller trained without human-generated data can learn human-like behaviors. Methods We trained and evaluated a neural network-based controller via deep reinforcement learning in a finite element simulation to navigate the venous system of a porcine liver without human-generated data. The behavior is compared to manual expert navigation, and real-world transferability is evaluated. Results The controller achieves a success rate of 100% in simulation. The controller applies a wiggling behavior, where the guidewire tip is continuously rotated alternately clockwise and counterclockwise like the human expert applies. In the ex vivo porcine liver, the success rate drops to 30%, because either the wrong branch is probed, or the guidewire becomes entangled. Conclusion In this work, we prove that a learning-based controller is capable of learning human-like guidewire navigation behavior without human-generated data, therefore, mitigating the requirement to produce resource-intensive human-generated training data. Limitations are the restriction to one vessel geometry, the neglected safeness of navigation, and the reduced transferability to the real world.

Two-year AFS, overall survival, and freedom from major amputation were decreased in ESRD patients compared with non-ESRD patients with critical limb ischemia. Cardiovascular comorbidities were without significant impact on outcome parameters, whereas choice of treatment modality within the ESRD group did not influence AFS. Decision-making in ESRD as to choice of therapeutic approach in dialysis patients should notably account for the individual's lesion characteristics and vascular disease; surgical revascularization and EVT may be used as complementary options.