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Effect of a calcium deblooming algorithm on accuracy of coronary computed tomography angiography.

Authors :
Weir-McCall, Jonathan R.
Wang, Rui
Halankar, Jaydeep
Hsieh, Jiang
Hague, Cameron J.
Rosenblatt, Samuel
Fan, Zhanming
Sellers, Stephanie L.
Murphy, Darra T.
Blanke, Philipp
Xu, Lei
Leipsic, Jonathon A.
Source :
Journal of Cardiovascular Computed Tomography; Mar2020, Vol. 14 Issue 2, p131-136, 6p
Publication Year :
2020

Abstract

Coronary artery calcification is a significant contributor to reduced accuracy of coronary computed tomographic angiography (CTA) in the assessment of coronary artery disease severity. The aim of the current study is to assess the impact of a prototype calcium deblooming algorithm on the diagnostic accuracy of CTA. 40 patients referred for invasive catheter angiography underwent CTA and invasive catheter angiography. The CTA were reconstructed using a standard soft tissue kernel (CTA STAND) and a deblooming algorithm (CTA DEBLOOM). CTA studies were read with and without the deblooming algorithm blinded to the invasive coronary angiogram findings. Sensitivity, specificity, accuracy, positive predictive value and negative predictive value for the detection of stenosis ≥50% or ≥70% were evaluated using quantitative coronary angiography as the reference standard. Image quality was assessed using a 5-point scale, and the presence of image artifact recorded. All studies were diagnostic with 548 segments available for evaluation. Image score was 3.64 ± 0.72 with CTA DEBLOOM , versus 3.56 ± 0.72 with CTA STAND (p = 0.38). CTA DEBLOOM had significantly less calcium blooming artifact than CTA STAND (12.5% vs. 47.5%, p = 0.001). Based on a 50% stenosis threshold for defining significant disease, the Sensitivity/Specificity/PPV/NPV/Accuracy were 65.9/84.9/27.6/96.6/83.4 for CTA DEBLOOM and 75.0/81.9/26.6/97.4/81.4 for CTA STAND using a ≥50% threshold. CTA DEBLOOM specificity was significantly higher than CTA STAND (84.9% vs. 81.5%, p = 0.03), with no difference between the algorithms in sensitivity (p = 0.22), or accuracy (p = 0.15). These results remained unchanged when a stenosis threshold of ≥70% was used. Interobserver agreement was fair with both techniques (CTA DEBLOOM k = 0.38, CTA STAND k = 0.37). In this proof of concept study, coronary calcification deblooming using a prototype post-processing algorithm is feasible and reduces calcium blooming with an improvement of the specificity of the CTA exam. Coronary calcification deblooming using a prototype post-processing algorithm is feasible and significantly reduces calcium blooming with an improvement of the specificity of the CTA exam. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
19345925
Volume :
14
Issue :
2
Database :
Supplemental Index
Journal :
Journal of Cardiovascular Computed Tomography
Publication Type :
Academic Journal
Accession number :
143310236
Full Text :
https://doi.org/10.1016/j.jcct.2019.07.007