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Herrington DM, Siebes M, Walford GD. Sources of error in quantitative coronary angiography. Cathet Cardiovasc Diagn. 1993;29(4):314-21doi: 10.1002/ccd.1810290416.
Herrington, D. M., Siebes, M., & Walford, G. D. (1993). Sources of error in quantitative coronary angiography. Catheterization and cardiovascular diagnosis, 29(4), 314-21. https://doi.org/10.1002/ccd.1810290416
Herrington, D M, et al. "Sources of error in quantitative coronary angiography." Catheterization and cardiovascular diagnosis vol. 29,4 (1993): 314-21. doi: https://doi.org/10.1002/ccd.1810290416
Herrington DM, Siebes M, Walford GD. Sources of error in quantitative coronary angiography. Cathet Cardiovasc Diagn. 1993 Aug;29(4):314-21. doi: 10.1002/ccd.1810290416. PMID: 8221856.
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Cathet Cardiovasc Diagn. 1993 Aug;29(4):314-21. doi: 10.1002/ccd.1810290416.

Sources of error in quantitative coronary angiography.

Catheterization and cardiovascular diagnosis

D M Herrington, M Siebes, G D Walford

Affiliations

  1. Division of Cardiology, Bowman Gray School of Medicine, Winston-Salem, North Carolina.

PMID: 8221856 DOI: 10.1002/ccd.1810290416

Abstract

Many studies have reported the accuracy of quantitative coronary angiography (QCA) based on experiments using moderated-size phantoms imaged under unrealistic radiographic conditions. However, these observations may not be generalizable to the setting of clinical angiography. To determine QCA accuracy in a realistic radiographic setting and evaluate the impact of the x-ray system line spread function, plexiglass phantoms were imaged inside and out of a human thorax. A realistic radiographic background was associated with a 38% increase in variability of results (p < 0.05). Low concentrations of contrast and large image intensifier input screens were associated with significantly larger errors and variability in results (p < 0.05). There was a systematic overestimation of diameter in the smallest phantom. A mathematical model of the x-ray line spread function was developed that explains the observed overestimation of the smallest phantom and provide a rational approach for correction of the line spread function for QCA. Many factors encountered in clinical coronary angiography such as nonuniform radiographic background, low concentrations of contrast, and small vessel diameters have a significant adverse impact on the accuracy and/or variability of gradient-based edge detection QCA systems.

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