Predictors of inaccurate coronary arterial stenosis assessment by CT angiography

Raymond T Yan1, Julie M Miller, Carlos E Rochitte

  • 1Division of Cardiology, Johns Hopkins Hospital, Baltimore, Maryland.

Insights

Computed tomography angiography (CTA) can misdiagnose obstructive coronary artery disease (CAD). Calcification, prior revascularization, segment tortuosity, and poor contrast enhancement are key predictors of CTA diagnostic inaccuracy.

Area of Science:

  • Cardiovascular Imaging
  • Radiology
  • Medical Diagnostics

Background:

  • Computed tomography angiography (CTA) is increasingly used for coronary artery disease (CAD) assessment.
  • Limited data exists on factors contributing to CTA diagnostic inaccuracies.

Purpose of the Study:

  • To identify clinical and imaging predictors of diagnostic inaccuracy in CTA for obstructive CAD.
  • To compare CTA findings with quantitative coronary angiography (QCA) as the reference standard.

Main Methods:

  • Analysis of 291 patients from the CorE-64 multicenter study.
  • Blind abstraction of CTA segment characteristics and clinical data.
  • Multivariable logistic regression and generalized estimating equations to determine independent predictors of misdiagnosis.

Main Results:

  • Agatston calcium score and within-segment calcification predicted false-positive CTA results.
  • Absence of calcification predicted false-negative diagnoses.
  • Segment tortuosity, smaller luminal caliber, and juxta-arterial vein conspicuity were associated with segment-level misdiagnoses. Better contrast enhancement reduced false-negative risk.

Conclusions:

  • Clinical and imaging features on CTA can predict diagnostic inaccuracy for obstructive CAD.
  • Awareness of these features can enhance CTA interpretation accuracy.
Abstract

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