Patient-specific static and dynamic 3D-printed models for planning endovascular repair of complex aortic disease with physician-modified stent grafts.
3D-printing-guided planning cut operative time in complex aortic endovascular repair
Patient-specific static and dynamic 3D-printed models for planning endovascular repair of complex aortic disease with physician-modified stent grafts.
To develop a patient-specific static and dynamic 3D-printing workflow for preoperative planning of endovascular repair in complex aortic disease with physician-modified stent grafts, to assess the respective roles of rigid anatomical and dynamic models, and to explore its association with intraoperative efficiency compared with conventional image-based planning.
Were assigned to a 3D printing-guided group (n = 22) or a conventional image-guided group (n = 24) based on the preoperative planning strategy.
3D-printing-guided planning cut operative time versus conventional imaging
Rigid anatomical models demonstrated high geometric fidelity, with over 97% of surface deviations within 0.2 mm compared with CTA data.
In the 3D printing-guided group, simulation findings were concordant with intraoperative findings in 21 of 22 cases.
Compared with rigid static models, dynamic models provided additional planning information in anatomically challenging cases, including severe angulation of arch or neck, severe luminal stenosis or true lumen collapse, target vessels arise from the aneurysm sac, complex target vessel proximal segment and severe access tortuosity.
A patient-specific dual-model 3D printing workflow combining rigid anatomical models and dynamic models is feasible for planning endovascular repair of complex aortic disease with physician-modified stent grafts.
The dynamic model provides complementary information beyond static anatomical assessment, particularly in anatomically complex cases requiring simulation of device-vessel interaction.
The observed reductions in operative time and contrast use suggest potential intraoperative benefits.