In silico prediction of the mechanobiological response of arterial tissue: Application to angioplasty and stenting

Journal of Biomechanical Engineering

Volumn 133, Issue 8, 2011, Pages

  Boyle, Colin J ^a   Lennon, Alexander B ^a   Prendergast, Patrick J ^a  

^a TRINITY COLLEGE DUBLIN   (Ireland)

Author keywords

Angioplasty; Computational Science; Mechanobiology; Medical devices; Stents; Vascular diseases

Indexed keywords

ANGIOPLASTY; COMPUTATIONAL SCIENCE; MECHANO-BIOLOGY; MEDICAL DEVICES; STENTS; VASCULAR DISEASE;

BIOMATERIALS; BIOMEDICAL ENGINEERING; CELLS; MUSCLE; PATHOLOGY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; THREE DIMENSIONAL;

PHYSIOLOGICAL MODELS;

GROWTH FACTOR; MATRIX METALLOPROTEINASE; MONOCYTE CHEMOTACTIC PROTEIN 1;

ARTICLE; BIOLOGY; CALIBRATION; CAROTID ANGIOPLASTY; CAROTID ARTERY STENTING; CELL ACTIVITY; CELL DIFFERENTIATION; CELL MIGRATION; CELL PROLIFERATION; COMPUTER MODEL; ENDOTHELIUM CELL; FINITE ELEMENT ANALYSIS; HUMAN; INFLAMMATION; MECHANOBIOLOGY; PHENOTYPE; RESTENOSIS; SIMULATION; SMOOTH MUSCLE FIBER; STOCHASTIC MODEL; TISSUE GROWTH; TISSUE REACTION; TISSUE STRUCTURE; BIOLOGICAL MODEL; BIOMECHANICS; CORONARY BLOOD VESSEL; MECHANICS; METHODOLOGY; PATHOLOGY; PATHOPHYSIOLOGY; PROSTHESIS; STENT; TRANSLUMINAL CORONARY ANGIOPLASTY;

ANGIOPLASTY, BALLOON, CORONARY; BIOMECHANICS; CALIBRATION; COMPUTATIONAL BIOLOGY; CORONARY RESTENOSIS; CORONARY VESSELS; HUMANS; INFLAMMATION; MECHANICAL PROCESSES; MODELS, BIOLOGICAL; PROSTHESIS DESIGN; STENTS;

EID: 80052480876     PISSN: 01480731     EISSN: 15288951     Source Type: Journal    
DOI: 10.1115/1.4004492     Document Type: Article

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