» Articles » PMID: 27743881

Estimation of Cardiovascular Risk on Routine Chest CT: Ordinal Coronary Artery Calcium Scoring As an Accurate Predictor of Agatston Score Ranges

Overview
Publisher Elsevier
Date 2016 Oct 17
PMID 27743881
Citations 44
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Coronary artery calcium (CAC) is often identified on routine chest computed tomography (CT). The purpose of our study was to evaluate whether ordinal scoring of CAC on non-gated, routine chest CT is an accurate predictor of Agatston score ranges in a community-based population, and in particular to determine the accuracy of an ordinal score of zero on routine chest CT.

Methods: Two thoracic radiologists reviewed consecutive same-day ECG-gated and routine non-gated chest CT scans of 222 individuals. CAC was quantified using the Agatston scoring on the ECG-gated scans, and using an ordinal method on routine scans, with a score from 0 to 12. The pattern and distribution of CAC was assessed. The correlation between routine exam ordinal scores and Agatston scores in ECG-gated exams, as well as the accuracy of assigning a zero calcium score on routine chest CT was determined.

Results: CAC was most prevalent in the left anterior descending coronary artery in both single and multi-vessel coronary artery disease. There was a strong correlation between the non-gated ordinal and ECG-gated Agatston scores (r = 0.811, p < 0.01). Excellent inter-reader agreement (k = 0.95) was shown for the presence (total ordinal score ≥1) or absence (total ordinal score = 0) of CAC on routine chest CT. The negative predictive value for a total ordinal score of zero on routine CT was 91.6% (95% CI, 85.1-95.9). Total ordinal scores of 0, 1-3, 4-5, and ≥6 corresponded to average Agatston scores of 0.52 (0.3-0.8), 98.7 (78.2-117.1), 350.6 (264.9-436.3) and 1925.4 (1526.9-2323.9).

Conclusion: Visual assessment of CAC on non-gated routine chest CT accurately predicts Agatston score ranges, including the zero score, in ECG-gated CT. Inclusion of this information in radiology reports may be useful to convey important information on cardiovascular risk, particularly premature atherosclerosis in younger patients.

Citing Articles

Deep learning based automatic quantification of aortic valve calcification on contrast enhanced coronary CT angiography.

Park D, Kwon S, Song Y, Kim Y, Jeong B, Lee W Sci Rep. 2025; 15(1):8472.

PMID: 40069321 PMC: 11897391. DOI: 10.1038/s41598-025-93744-5.


Correlation of Coronary Calcium Measured on Conventional Computed Tomography with Coronary Angiography Findings in Lung Transplant Patients.

Tapia Concha S, Farinas-Alvarez C, Munoz Cacho P, Cifrian Martinez J, Zueco Gil J, Parra Blanco J Tomography. 2025; 11(2).

PMID: 39997994 PMC: 11860483. DOI: 10.3390/tomography11020011.


The role of imaging in defining cardiovascular risk to help cancer patient management: a scoping review.

Fari R, Besutti G, Pattacini P, Ligabue G, Piroli F, Mantovani F Insights Imaging. 2025; 16(1):37.

PMID: 39961941 PMC: 11832977. DOI: 10.1186/s13244-025-01907-9.


Correlation between metabolic dysfunction-associated steatotic liver disease and subclinical coronary atherosclerosis in eastern China.

Ma G, Xu G, Huang H Diabetol Metab Syndr. 2025; 17(1):16.

PMID: 39815332 PMC: 11736921. DOI: 10.1186/s13098-025-01577-z.


The Impact of the Coronary Artery Calcium Score on the Clinical Outcomes in Patients with Acute Myocardial Infarction.

Sato H, Sakakura K, Jinnouchi H, Taniguchi Y, Yamamoto K, Tsukui T J Clin Med. 2024; 13(23).

PMID: 39685595 PMC: 11642475. DOI: 10.3390/jcm13237136.