Literature DB >> 2650918

Digital angiographic impulse response analysis of regional myocardial perfusion: linearity, reproducibility, accuracy, and comparison with conventional indicator dilution curve parameters in phantom and canine models.

N L Eigler1, J M Pfaff, A Zeiher, J S Whiting, J S Forrester.   

Abstract

The system mean transit time (Tsys) of the impulse response function describing contrast material transit through the coronary circulation was determined from serial digital angiographic images. The linearity, reproducibility, and relations with regional myocardial perfusion and conventional time-density curve parameters, time to peak concentration (TPC), and exponential washout rate (k) were assessed in a dynamic flow x-ray phantom (n = 46) and in six open-chest dogs (n = 102) while coronary flow was altered by stenosis and/or hyperemic stimuli. In the phantom studies, the inverse of the system mean transit time (Tsys-1) closely predicted flow/volume (r = 0.99, slope = 0.99). In dogs, Tsys-1 was independent of the shape of the contrast bolus injection (single or double-peaked), class of contrast agent (ionic or nonionic), the type of hyperemic stimulus (dipyridamole, dipyridamole plus norepinephrine, transient total occlusion, or ionic contrast media), and was highly reproducible between adjacent myocardial regions served by the same artery (r = 0.98 +/- 0.01). There was a strong correlation between Tsys-1 and regional coronary flow for stenotic and/or hyperemic vessels (r = 0.94, distribution volume = 14.9 ml/100 g) over a wide range (0-514 ml/min/100 g). Tsys-1 performed better than conventional time-density curve parameters TPC-1 and k for predicting phantom flow/volume ratios and regional myocardial blood flow in the dog. These data suggest that both digital coronary angiography and coronary contrast transit can be modeled as linear systems and that impulse response analysis may provide accurate and reproducible estimates of regional myocardial blood flow.

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Year:  1989        PMID: 2650918     DOI: 10.1161/01.res.64.5.853

Source DB:  PubMed          Journal:  Circ Res        ISSN: 0009-7330            Impact factor:   17.367


  10 in total

1.  3D assessment of myocardial perfusion parameter combined with 3D reconstructed coronary artery tree from digital coronary angiograms.

Authors:  T H Schindler; N Magosaki; M Jeserich; E Nitzsche; U Oser; T Abdollahnia; M Nageleisen; M Zehender; H Just; U Solzbach
Journal:  Int J Card Imaging       Date:  2000-02

2.  A novel angiographic methodology for the quantification of angiogenesis.

Authors:  Matthew J Gounis; Baruch B Lieber; Keith A Webster; Ajay K Wakhloo
Journal:  IEEE Trans Biomed Eng       Date:  2008-03       Impact factor: 4.538

3.  Development of a theory for generating regional cardiac perfusion images during coronary angiography in the coronary angiography lab.

Authors:  Takuya Sakaguchi; Takashi Ichihara; Jeffrey C Trost; Omair Yousuf; Joao A C Lima; Jingwu Yao; Richard T George
Journal:  Int J Cardiovasc Imaging       Date:  2013-10-12       Impact factor: 2.357

4.  Vessel masking improves densitometric myocardial perfusion assessment.

Authors:  Tamás Ungi; Zsolt Zimmermann; Erika Balázs; András Lassó; Imre Ungi; Tamás Forster; András Palkó; Attila Nemes
Journal:  Int J Cardiovasc Imaging       Date:  2008-10-04       Impact factor: 2.357

5.  Absolute volumetric coronary blood flow measurement with digital subtraction angiography.

Authors:  S Molloi; G Bednarz; J Tang; Y Zhou; T Mathur
Journal:  Int J Card Imaging       Date:  1998-06

6.  Clinical methods to determine coronary flow and myocardial perfusion.

Authors:  M J Wolters-Geldof; V M Cats; A V Bruschke
Journal:  Int J Card Imaging       Date:  1997-04

7.  Development of a method for automated and stable myocardial perfusion measurement using coronary X-ray angiography images.

Authors:  Takuya Sakaguchi; Takashi Ichihara; Takahiro Natsume; Jingwu Yao; Omair Yousuf; Jeffrey C Trost; Joao A C Lima; Richard T George
Journal:  Int J Cardiovasc Imaging       Date:  2015-04-17       Impact factor: 2.357

Review 8.  Myocardial perfusion in humans: what can we measure?

Authors:  P F Ludman; P A Poole-Wilson
Journal:  Br Heart J       Date:  1993-10

9.  Regional transit time estimation from image residue curves.

Authors:  A V Clough; A al-Tinawi; J H Linehan; C A Dawson
Journal:  Ann Biomed Eng       Date:  1994 Mar-Apr       Impact factor: 3.934

10.  Grading the angiographic extent of collateral filling. Comparison with coronary flow, collateral flow, and regional coronary flow distribution measurements.

Authors:  H Schühlen; N L Eigler; J S Whiting
Journal:  Int J Card Imaging       Date:  1994-03
  10 in total

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