Nonlinearity by Densitometric Measurements of Coronary Arteries

Doriot, P.-A.; Pochon, Y.; Welz, R.; Rutishauser, W.

doi:10.1007/978-94-009-1331-8_16

Cited by 6 publications

(1 citation statement)

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“…Fortunately, both effects do not impinge severely (a few percent) onto the accuracy of relative measurements of cross-sections imaged with the same parameters.' 71 However, if one measures the degree of stenosis densitometrically, calibrates then morphometrically the intact proximal lumen and uses its area together with the measured degree of stenosis to obtain the true area of the stenotic cross-section, the resulting error may be greater (between -8% and +45% in the case of a 5 mm artery)' 7 '. The problem of non-linearity can be attenuated by strong copper filtration of the X-ray beam, use of high kV and low iodine concentrations' 8 -9 '.…”

Section: The Densitometric Approachmentioning

confidence: 99%

Morphometric versus densitometric assessment of coronary vasomotor tone-an overview

Doriot

Guggenheim

Dorsaz

et al. 1989

European Heart Journal

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Section: The Densitometric Approachmentioning

confidence: 99%

Morphometric versus densitometric assessment of coronary vasomotor tone-an overview

Doriot

Guggenheim

Dorsaz

et al. 1989

European Heart Journal

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Quantitative and qualitative coronary angiographic analysis: Review of methods, utility, and limitations

Hermiller

Cusma

Spero

et al. 1992

Cathet. Cardiovasc. Diagn.

119

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Coronary angiography continues to be the pivotal study in the diagnosis and treatment of ischemic cardiac disease. Although angiographic equipment and imaging techniques have advanced over the past three decades, the analysis of coronary angiograms, by visual estimated percent diameter stenosis, has remained unchanged in most clinical catheterization laboratories. Rapid, computerized angiographic analysis systems are now available that remedy the inherent imprecision and inaccuracies plaguing visual coronary analysis. Despite its advantages, successful QCA is quite dependent on meticulous attention to radiographic and angiographic technique, even more so than with visual analysis. Although the available QCA systems can reproducibly and accurately define the site and degree of coronary stenosis, they cannot routinely determine whether an obstruction is flow limiting. Several methods, some based on extrapolations of quantitative measures alone, and others based on digital subtraction angiography, have been developed to determine the physiologic impact of a given coronary lesion. Recent observations have demonstrated, however, that even if the physiologic consequences of an obstruction are known, the prognosis of the lesion over time cannot be predicted. The qualitative, morphologic characteristics of a lesion are as, or more, important than the quantitative lesion attributes in determining an atheroma's behavior and stability, and hence, qualitative descriptors should be incorporated into QCA analyses. Although not currently available, future QCA systems will provide, by automated analysis, reproducible and accurate measures of absolute obstruction, physiologic data describing the flow limiting characteristics of a lesion, and qualitative, morphologic lesion descriptors. Implementation of these systems should provide more consistent and accurate prognostic and pathophysiologic information, thereby helping to refine and more effectively direct therapeutic interventions in coronary artery disease.

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