Literature DB >> 3177983

A microcomputer based automated, quantitative coronary angiographic analysis system.

W P Santamore1, F R Kahl, M A Kutcher, M Negin, J L Whiteman, J P Kase, W C Little.   

Abstract

Rapid and accurate assessment of coronary artery stenotic severity is important in therapy and understanding of coronary artery disease. Since automated systems minimize prejudice and variations in analysis, we developed an automated, quantitative coronary analysis system utilizing an IBM PC-XT computer. Film images (35 mm) were cine-to-video converted and subsequently digitized by an IBM PC-XT computer. Given an approximate center line, the computer automatically detected edges, corrected for X-ray magnification, and calculated arterial dimensions. On objects of known dimensional sizes, the correlation coefficient between actual and calculated dimensions was 0.996 (p less than 0.01) with a standard error of estimate of 0.07 mm and +/- 3.0% reproducibility. For objects less than 1 mm in diameter, the standard error of estimate was 0.05 mm with +/- 4.1% reproducibility. However, with minimal contrast material (25%), the standard error of estimate increased to 0.20 mm with +/- 7.2% reproducibility. The results indicate that automated, quantitative coronary angiography can be achieved using an inexpensive IBM PC-XT based system, provided that the vessels are adequately opacified.

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Year:  1988        PMID: 3177983     DOI: 10.1007/bf02364624

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  10 in total

1.  Coronary artery dimensions from cineangiograms methodology and validation of a computer-assisted analysis procedure.

Authors:  J H Reiber; C J Kooijman; C J Slager; J J Gerbrands; J C Schuurbiers; A Den Boer; W Wijns; P W Serruys; P G Hugenholtz
Journal:  IEEE Trans Med Imaging       Date:  1984       Impact factor: 10.048

2.  Automated quantitative coronary arteriography: morphologic and physiologic validation in vivo of a rapid digital angiographic method.

Authors:  G B Mancini; S B Simon; M J McGillem; M T LeFree; H Z Friedman; R A Vogel
Journal:  Circulation       Date:  1987-02       Impact factor: 29.690

3.  Assessment of short-, medium-, and long-term variations in arterial dimensions from computer-assisted quantitation of coronary cineangiograms.

Authors:  J H Reiber; P W Serruys; C J Kooijman; W Wijns; C J Slager; J J Gerbrands; J C Schuurbiers; A den Boer; P G Hugenholtz
Journal:  Circulation       Date:  1985-02       Impact factor: 29.690

4.  Evaluation of dimensions and steady-state hydraulic properties of coronary arteries.

Authors:  R M Owen; J D Dewey; A A Bove
Journal:  Biomed Sci Instrum       Date:  1983

5.  Computerized image analysis for quantitative measurement of vessel diameter from cineangiograms.

Authors:  J R Spears; T Sandor; A V Als; M Malagold; J E Markis; W Grossman; J R Serur; S Paulin
Journal:  Circulation       Date:  1983-08       Impact factor: 29.690

6.  A comparison of digital algorithms used in computing the derivative of left ventricular pressure.

Authors:  A E Marble; C M McIntyre; R Hastings-James; C W Hor
Journal:  IEEE Trans Biomed Eng       Date:  1981-07       Impact factor: 4.538

7.  Rethrombosis after reperfusion with streptokinase: importance of geometry of residual lesions.

Authors:  D G Harrison; D W Ferguson; S M Collins; D J Skorton; E E Ericksen; J M Kioschos; M L Marcus; C W White
Journal:  Circulation       Date:  1984-05       Impact factor: 29.690

8.  Does visual interpretation of the coronary arteriogram predict the physiologic importance of a coronary stenosis?

Authors:  C W White; C B Wright; D B Doty; L F Hiratza; C L Eastham; D G Harrison; M L Marcus
Journal:  N Engl J Med       Date:  1984-03-29       Impact factor: 91.245

9.  The value of lesion cross-sectional area determined by quantitative coronary angiography in assessing the physiologic significance of proximal left anterior descending coronary arterial stenoses.

Authors:  D G Harrison; C W White; L F Hiratzka; D B Doty; D H Barnes; C L Eastham; M L Marcus
Journal:  Circulation       Date:  1984-06       Impact factor: 29.690

10.  Quantitative coronary arteriography: estimation of dimensions, hemodynamic resistance, and atheroma mass of coronary artery lesions using the arteriogram and digital computation.

Authors:  B G Brown; E Bolson; M Frimer; H T Dodge
Journal:  Circulation       Date:  1977-02       Impact factor: 29.690

  10 in total
  6 in total

1.  A polymorphism in the visfatin gene promoter is related to decreased plasma levels of inflammatory markers in patients with coronary artery disease.

Authors:  Lian-Sheng Wang; Jian-Jun Yan; Na-Ping Tang; Jun Zhu; Yue-Song Wang; Qi-Ming Wang; Jian-Jin Tang; Ming-Wei Wang; En-Zhi Jia; Zhi-Jian Yang; Jun Huang
Journal:  Mol Biol Rep       Date:  2010-04-11       Impact factor: 2.316

2.  Association between C1431T polymorphism in peroxisome proliferator-activated receptor-γ gene and coronary artery disease in Chinese Han population.

Authors:  Xiang Zhou; Jianchang Chen; Weiting Xu
Journal:  Mol Biol Rep       Date:  2011-06-04       Impact factor: 2.316

3.  The role of PRKCH gene variants in coronary artery disease in a Chinese population.

Authors:  Jun Zhu; Jian-Jun Yan; Zheng-Ping Kuai; Wei Gao; Jian-Jin Tang; En-Zhi Jia; Zhi-Jian Yang; Lian-Sheng Wang
Journal:  Mol Biol Rep       Date:  2011-05-29       Impact factor: 2.316

4.  Gene-gene interaction between PPARG and CYP1A1 gene on coronary artery disease in the Chinese Han Population.

Authors:  Xiaojiang Zhang; Shuzheng Lv; Chengjun Guo; Conghong Shi; Yunpeng Chi; Lin Zhao; Guozhong Wang; Zhisheng Wang
Journal:  Oncotarget       Date:  2017-05-23

5.  Plasma levels of lipometabolism-related miR-122 and miR-370 are increased in patients with hyperlipidemia and associated with coronary artery disease.

Authors:  Wei Gao; Hui-Wei He; Ze-Mu Wang; Huan Zhao; Xiao-Qing Lian; Yong-Sheng Wang; Jun Zhu; Jian-Jun Yan; Ding-Guo Zhang; Zhi-Jian Yang; Lian-Sheng Wang
Journal:  Lipids Health Dis       Date:  2012-05-15       Impact factor: 3.876

6.  Genetic variants of the class A scavenger receptor gene are associated with coronary artery disease in Chinese.

Authors:  Min Zhang; Yan Zhang; Shuaishuai Zhu; Xiaoyu Li; Qing Yang; Hui Bai; Qi Chen
Journal:  J Biomed Res       Date:  2012-09-28
  6 in total

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