vascular scaffold
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2021 ◽  
Vol 78 (19) ◽  
pp. B85
Author(s):  
Soheb Anwar Mohammed ◽  
Jared Romeo ◽  
Ellen Gawalt ◽  
Tell Lovelace ◽  
John Pacella

2021 ◽  
Vol 3 ◽  
Author(s):  
Miljan Milosevic ◽  
Milos Anic ◽  
Dalibor Nikolic ◽  
Vladimir Geroski ◽  
Bogdan Milicevic ◽  
...  

Bioresorbable vascular scaffolds (BVS), made either from polymers or from metals, are promising materials for treating coronary artery disease through the processes of percutaneous transluminal coronary angioplasty. Despite the opinion that bioresorbable polymers are more promising for coronary stents, their long-term advantages over metallic alloys have not yet been demonstrated. The development of new polymer-based BVS or optimization of the existing ones requires engineers to perform many very expensive mechanical tests to identify optimal structural geometry and material characteristics. in silico mechanical testing opens the possibility for a fast and low-cost process of analysis of all the mechanical characteristics and also provides the possibility to compare two or more competing designs. In this study, we used a recently introduced material model of poly-l-lactic acid (PLLA) fully bioresorbable vascular scaffold and recently empowered numerical InSilc platform to perform in silico mechanicals tests of two different stent designs with different material and geometrical characteristics. The result of inflation, radial compression, three-point bending, and two-plate crush tests shows that numerical procedures with true experimental constitutive relationships could provide reliable conclusions and a significant contribution to the optimization and design of bioresorbable polymer-based stents.


2021 ◽  
Vol 206 (Supplement 3) ◽  
Author(s):  
Young Min Ju ◽  
Hyeongjin Lee ◽  
Ickhee Kim ◽  
John Jackson ◽  
James Yoo ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Joelle Kefer ◽  
Patrick Chenu ◽  
Olivier Gurné ◽  
Frederic Maes ◽  
Théophile Tamakloé ◽  
...  

Background. Non-flow-limiting nonculprit lesions (NCL) that contain a large lipid-rich necrotic core (nonculprit lipid-rich plaques (NC-LRP)) are most likely to cause recurrent acute coronary syndrome after ST-elevation myocardial infarction (STEMI). Near-infrared spectroscopy (NIRS) detects LRPs using the maximum 4 mm lipid-core burden index (maxLCBI4 mm). Few data are available regarding NIRS-guided therapy of these NC-LRPs, which are a potential target for preventive stenting. Bioresorbable vascular scaffold (BVS) provides local drug delivery and could facilitate plaque passivation after resorption. This study sought to assess the safety of BVS implantation in NC-LRPs and its efficacy in reducing maxLCBI4 mm at 2-year follow-up after STEMI. Methods and Results. In total, 33 non-flow-limiting NCLs from 29 STEMI patients were included in this study. Of these, 15 were LRPs and were randomly assigned to either the BVS + optimal medical therapy (OMT) arm (group 1; N = 7) or the OMT arm (group 2; N = 8). At baseline, there were no differences in plaque characteristics between groups (fractional flow reserve: 0.85 ± 0.04 vs. 0.89 ± 0.06; diameter stenosis (DS): 43.4 ± 8 vs. 40.1 ± 10.7%; plaque burden 54.98 ± 5.8 vs. 49.76 ± 8.31%; and maxLCBI4 mm 402 [348; 564] vs. 373 [298; 516]; p = N S for all comparisons between groups 1 and 2, respectively). Seven BVSs were implanted 3 ± 1 days after STEMI in six patients, without complications. At angiographic follow-up (712 [657; 740] days), a significant and similar reduction of maxLCBI4 mm was observed in both groups, with a median change of 306 [257; 377] in group 1 vs. 300 [278; 346] in group 2 p = 0.44 . DS was significantly lower in group 1 vs. group 2 (19.8 ± 7 vs. 41.7 ± 13%, p = 0.003 ), while plaque burden remained unchanged in both groups. Overall survival was 100%, target lesion failure was 13%, and stent thrombosis was 0%. Conclusions. BVS + OMT and OMT appear as similarly safe and effective in reducing maxLCBI4mm in NC-LRPs at 2-year follow-up after STEMI.


2021 ◽  
Vol 69 (3) ◽  
Author(s):  
Beytullah CAKAL ◽  
Sinem CAKAL ◽  
Oguz KARACA ◽  
Mehmet O. OMAYGENC ◽  
Filiz K. YILMAZ ◽  
...  

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