Computational analysis of platelet adhesion and aggregation under stagnation point flow conditions.
The clinical relevance of platelet function assessment with stagnation point flow adhesio-aggregometry (SPAA) has been verified. Quantitative analysis of platelet adhesion and aggregation is possible by means of mathematical analysis of the dark-field, light intensity curves (growth curves) obtained during the SPAA experiment. We present a computational procedure for evaluating these curves, which was necessitated by, and is based on, actual clinical application. A qualitative growth curve classification, corresponding to a basic and distinct pattern of platelet deposition and characteristic of a regularly occurring clinical state is also presented.
Reininger
C B
CB
Chirurgische Klinik und Poliklinik, Ludwig-Maximillians-Universität München, Germany. reininger@gsf.de
Lasser
R
R
Rumitz
M
M
Böger
C
C
Schweiberer
L
L
D000465:Algorithms; D001157:Arterial Occlusive Diseases / Q000097:blood / Q000503:physiopathology; D001792:Blood Platelets / Q000502:physiology; D015331:Cohort Studies; D003327:Coronary Disease / Q000097:blood / Q000503:physiopathology; D018056:Hemorheology; D006801:Humans; D008853:Microscopy; D008858:Microscopy, Phase-Contrast; D008954:Models, Biological; D009203:Myocardial Infarction / Q000097:blood / Q000503:physiopathology; D016491:Peripheral Vascular Diseases / Q000097:blood / Q000503:physiopathology; D010783:Photometry; D010973:Platelet Adhesiveness / Q000502:physiology*; D010974:Platelet Aggregation / Q000502:physiology*; D010976:Platelet Count; D012984:Software; D013927:Thrombosis / Q000097:blood / Q000503:physiopathology