title: [Prediction of coronary artery bypass graft flow--analysis of time density curve obtained from digital subtraction angiography].
abstract: To predict the coronary artery bypass graft(CABG) flow based on the time density curve(TDC) obtained from the digital subtraction aortograms(DSA), we developed a pulsatile CABG model (perfusion pressure 60, 130 mmHg, pulse rate 53, 126/min, cardiac output 3-7 l/min, diameter of the graft 2.1-6.0 mm). After positioning the regions of interest (ROI), we injected contrast medium (5-40 ml/sec, 5-40 ml) into the outlet conduit. Concerning the TDCs, we calculated appearance time(Ta), peak densities(Dp), peak time(Tp), disappearance time(Td), integral of TDC, delta Tp (difference of Tp between two ROI) and delta Ta (difference of Ta between two ROI).
  
  
  RESULTS
  Perfusion pressure, graft flow and output curve were similar to those of patients with CABG. Ta, Tp, Td and delta Tp were affected by both the injection rate and the volume of the contrast medium; while Dp and the TDC integral were only affected by the latter parameter. Under the same conditions of contrast medium injection, the TDC depended strongly on graft flow, diameter of the graft, output and pulse rate. 21.6 + 0.92 pi.d2/4.delta 1/delta Tp.60 provided the most accurate estimation of CABG flow (r = 0.865, p less than 0.01). We conclude that densitometric analysis of DSA may be useful in the prediction of CABG flow.
authors.affiliation: Division of Cardiology, JR Tokyo General Hospital.
authors.forename: E
authors.initials: E
authors.lastname: Tamiya
authors.forename: Y
authors.initials: Y
authors.lastname: Hada
authors.forename: K
authors.initials: K
authors.lastname: Asano
authors.forename: M
authors.initials: M
authors.lastname: Iio
mesh_terms: D015502:Absorptiometry, Photon; D000787:Angina Pectoris / Q000000981:diagnostic imaging / Q000503:physiopathology / Q000601:surgery; D015901:Angiography, Digital Subtraction; D002302:Cardiac Output; D001026:Coronary Artery Bypass; D003326:Coronary Circulation; D006801:Humans; D008955:Models, Cardiovascular; D012044:Regression Analysis; D014654:Vascular Patency