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Identifying Coronary Artery Calcification on Non-gated Computed Tomography Scans
Published on: August 28, 2018
CAD-RADS may underestimate coronary plaque progression as detected by serial CT angiography
Bálint Szilveszter1, Borbála Vattay1, Melinda Bossoussou1
1MTA-SE Cardiovascular Imaging Research Group, Heart and Vascular Center, Semmelweis University, 68 Városmajor st, 1122 Budapest, Hungary.
Insights
Different definitions for coronary artery disease (CAD) impact progression assessment. Coronary Artery Disease-Reporting and Data System (CAD-RADS) missed progression in nearly half of patients, unlike SSS and SIS scores.
Area of Science:
- Cardiovascular Imaging and Diagnostics
- Radiology and Medical Imaging
Background:
- Coronary artery disease (CAD) assessment relies on various clinical definitions.
- Understanding how these definitions affect progression detection is crucial for patient management.
Purpose of the Study:
- To evaluate if different CAD definitions (SSS, SIS, CAD-RADS) influence patient progression identification.
- To determine how risk factors affect CAD progression under these varying definitions.
Main Methods:
- Serial coronary computed tomography angiography (CTA) in 115 patients over >1 year.
- CAD assessment using Segment Stenosis and Involvement Score (SSS, SIS) and CAD-Reporting and Data System (CAD-RADS).
- Linear mixed models analyzed risk factor effects on CAD amount and annual progression rate.
Main Results:
- Significant increases in SSS and SIS, and shifts in CAD-RADS categories were observed between baseline and follow-up.
- Patient progression rates varied: 53.0% (SSS), 29.6% (SIS), and 28.7% (CAD-RADS).
- Smoking, diabetes, and age increased SSS/SIS progression; female sex was associated with lower SSS/SIS.
Conclusions:
- The Coronary Artery Disease-Reporting and Data System (CAD-RADS) failed to capture progression in nearly half of patients.
- Discrepancies in CAD definitions lead to significant differences in identifying patient progression and influencing risk factors.
Aims:
We wished to assess whether different clinical definitions of coronary artery disease (CAD) [segment stenosis and involvement score (SSS, SIS), Coronary Artery Disease-Reporting and Data System (CAD-RADS)] affect which patients are considered to progress and which risk factors affect progression.
Methods And Results:
We enrolled 115 subsequent patients (60.1 ± 9.6 years, 27% female) who underwent serial coronary computed tomography angiography (CTA) imaging with >1year between the two examinations. CAD was described using SSS, SIS, and CAD-RADS. Linear mixed models were used to investigate the effects of risk factors on the overall amount of CAD and the effect on annual progression rate of different definitions. Coronary plaque burdens were SSS 4.63 ± 4.06 vs. 5.67 ± 5.10, P < 0.001; SIS 3.43 ± 2.53 vs. 3.89 ± 2.65, P < 0.001; CAD-RADS 0:8.7% vs. 0.0% 1:44.3% vs. 40.9%, 2:34.8% vs. 40.9%, 3:7.0% vs. 9.6% 4:3.5% vs. 6.1% 5:1.7% vs. 2.6%, P < 0.001, at baseline and follow-up, respectively. Overall, 53.0%, 29.6%, and 28.7% of patients progressed over time based on SSS, SIS, and CAD-RADS, respectively. Of the patients who progressed based on SSS, only 54% showed changes in CAD-RADS. Smoking and diabetes increased the annual progression rate of SSS by 0.37/year and 0.38/year, respectively (both P < 0.05). Furthermore, each year increase in age raised SSS by 0.12 [confidence interval (CI) 0.05-0.20, P = 0.001] and SIS 0.10 (CI 0.06-0.15, P < 0.001), while female sex was associated with 2.86 lower SSS (CI -4.52 to -1.20, P < 0.001) and 1.68 SIS values (CI -2.65 to -0.77, P = 0.001).
Conclusion:
CAD-RADS could not capture the progression of CAD in almost half of patients with serial CTA. Differences in CAD definitions may lead to significant differences in patients who are considered to progress, and which risk factors are considered to influence progression.
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