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Updated: Jul 14, 2026

Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
Multi-detector row CT coronary angiography in patients with cardiomyopathy -- initial single-centre experience
N E Manghat1, G J Morgan-Hughes, S R Shaw
1Departments of Clinical Radiology, Derriford Hospital, Plymouth, Devon PL6 8DH, UK. docnatman@msn.com
Insights
Computed tomography (CT) coronary angiography shows high accuracy in excluding significant coronary artery disease in patients with cardiomyopathy. While useful, suboptimal contrast opacification requires cautious interpretation of results.
Area of Science:
- Cardiology
- Radiology
- Medical Imaging
Background:
- Cardiomyopathy (CM) presents diagnostic challenges for coronary artery disease (CAD).
- Accurate assessment of hemodynamically significant coronary stenoses is crucial in CM patients.
Purpose of the Study:
- To evaluate the diagnostic accuracy of computed tomography (CT) coronary angiography.
- To assess CT's utility in identifying significant coronary artery stenoses in patients with cardiomyopathy.
Main Methods:
- Eighteen patients with cardiomyopathy underwent CT coronary angiography.
- Findings were compared with results from catheter angiography.
Main Results:
- CT demonstrated 100% accuracy in whole-patient terms for assessing coronary artery stenosis.
- Segment-by-segment analysis showed sensitivity of 66.7% and specificity of 96.5%.
Conclusions:
- 16-detector row CT coronary angiography appears to be a valuable tool for ruling out significant CAD in CM patients.
- Suboptimal contrast opacification necessitates careful interpretation of CT findings in this population.
Aims:
To evaluate the diagnostic accuracy of computed tomography (CT) in assessing haemodynamically significant coronary artery stenoses in patients with cardiomyopathy (CM).
Subjects And Methods:
Eighteen patients with CM were approached to undergo CT coronary angiography to evaluate the use of this technique for investigating the presence of significant coronary artery disease (CAD), and also to compare the findings with catheter angiography.
Results:
On a segment-by-segment analysis the sensitivity, specificity, positive and negative predictive values in the CM group were 66.7, 96.5, 40 and 98.8%, respectively, with 100% accuracy in "whole-patient terms".
Conclusion:
Non-invasive, 16-detector row CT coronary angiography in patients with presumed CM would seem to be a useful clinical tool for the exclusion of significant coronary artery disease. However, the presence of suboptimal contrast opacification in this patient group means that the implication of these results must be interpreted with caution.
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