Systematic Review on the Use of 3D-Printed Models for Planning, Training and Simulation in Vascular Surgery.
Alexandra CatastaChiara MartiniArianna MersanneRuben ForestiClaudio Bianchini MassoniAntonio FreyriePaolo PeriniPublished in: Diagnostics (Basel, Switzerland) (2024)
The use of 3D-printed models in simulation-based training and planning for vascular surgery is gaining interest. This study aims to provide an overview of the current applications of 3D-printing technologies in vascular surgery. We performed a systematic review by searching four databases: PubMed, Web of Science, Scopus, and Cochrane Library (last search: 1 March 2024). We included studies considering the treatment of vascular stenotic/occlusive or aneurysmal diseases. We included papers that reported the outcome of applications of 3D-printed models, excluding case reports or very limited case series (≤5 printed models or tests/simulations). Finally, 22 studies were included and analyzed. Computed tomography angiography (CTA) was the primary diagnostic method used to obtain the images serving as the basis for generating the 3D-printed models. Processing the CTA data involved the use of medical imaging software; 3DSlicer (Brigham and Women's Hospital, Harvard University, Boston, MA), ITK-Snap, and Mimics (Materialise NV, Leuven, Belgium) were the most frequently used. Autodesk Meshmixer (San Francisco, CA, USA) and 3-matic (Materialise NV, Leuven, Belgium) were the most frequently employed mesh-editing software during the post-processing phase. PolyJet™, fused deposition modeling (FDM), and stereolithography (SLA) were the most frequently employed 3D-printing technologies. Planning and training with 3D-printed models seem to enhance physicians' confidence and performance levels by up to 40% and lead to a reduction in the procedure time and contrast volume usage to varying extents.
Keyphrases
- minimally invasive
- systematic review
- coronary artery bypass
- virtual reality
- crispr cas
- healthcare
- coronary artery
- public health
- high resolution
- magnetic resonance
- emergency department
- data analysis
- electronic health record
- adipose tissue
- mass spectrometry
- photodynamic therapy
- deep learning
- optical coherence tomography
- metabolic syndrome
- polycystic ovary syndrome
- insulin resistance
- case report
- pregnant women
- skeletal muscle
- percutaneous coronary intervention
- combination therapy
- acute care