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Assessment of Predictors of Erroneous CTA Interpretation and Unanalyzable CTA
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To assess whether some clinical characteristics where associated with image quality, we sought to determine potential predictors of erroneous CTA image interpretation and the acquisition of unanalyzable CTA images. To this end, a multivariate binary logistical regression was performed including: age, gender, body mass index, type of CT used, history of previous PCI, diabetes, renal failure, dyslipidemia, hypertension, and chronic obstructive pulmonary disease.
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